From 3e8b3658c7f5ea84520fe5684fe6ee19fe21f8e1 Mon Sep 17 00:00:00 2001 From: Gabriel Date: Tue, 29 Nov 2022 15:12:41 +0800 Subject: [PATCH] [feature-wip](decimalv3) Support basic agg and arithmetic operations for decimal v3 (#14513) --- .../aggregate_function_avg.h | 8 +- .../aggregate_function_sum.cpp | 2 +- be/src/vec/aggregate_functions/helpers.h | 2 +- be/src/vec/core/types.h | 4 + be/src/vec/data_types/data_type_decimal.cpp | 2 +- be/src/vec/exec/vaggregation_node.cpp | 4 +- be/src/vec/exprs/vliteral.cpp | 4 +- .../array/function_array_aggregation.cpp | 8 +- .../functions/function_binary_arithmetic.h | 355 +- .../vec/functions/function_unary_arithmetic.h | 13 +- .../org/apache/doris/analysis/Analyzer.java | 3 + .../apache/doris/analysis/ArithmeticExpr.java | 140 +- .../doris/analysis/BinaryPredicate.java | 5 + .../org/apache/doris/analysis/CastExpr.java | 11 +- .../apache/doris/analysis/DecimalLiteral.java | 30 +- .../java/org/apache/doris/analysis/Expr.java | 27 +- .../apache/doris/analysis/FloatLiteral.java | 8 +- .../doris/analysis/FunctionCallExpr.java | 84 +- .../org/apache/doris/analysis/IntLiteral.java | 6 +- .../doris/analysis/LargeIntLiteral.java | 6 +- .../org/apache/doris/catalog/FunctionSet.java | 16 +- .../org/apache/doris/catalog/ScalarType.java | 15 +- .../java/org/apache/doris/catalog/Type.java | 3 + .../java/org/apache/doris/common/Config.java | 7 - .../doris/external/hive/util/HiveUtil.java | 3 +- .../expressions/functions/BoundFunction.java | 2 +- .../doris/rewrite/RewriteInPredicateRule.java | 4 +- .../analysis/CreateTableAsSelectStmtTest.java | 2 +- .../doris/analysis/DecimalLiteralTest.java | 2 +- .../apache/doris/analysis/QueryStmtTest.java | 2 +- .../apache/doris/catalog/ColumnTypeTest.java | 6 +- .../doris/catalog/CreateFunctionTest.java | 2 +- .../analysis/GenerateScalarFunction.java | 14 +- .../doris/planner/ConstantExpressTest.java | 2 +- .../rewrite/RewriteDateLiteralRuleTest.java | 8 +- gensrc/script/doris_builtins_functions.py | 84 + gensrc/script/gen_builtins_functions.py | 6 + .../data/datev2/tpcds_sf1_p1/sql/q02.out | 5026 ++--- .../data/datev2/tpcds_sf1_p1/sql/q03.out | 22 +- .../data/datev2/tpcds_sf1_p1/sql/q05.out | 200 +- .../data/datev2/tpcds_sf1_p1/sql/q07.out | 184 +- .../data/datev2/tpcds_sf1_p1/sql/q08.out | 2 +- .../data/datev2/tpcds_sf1_p1/sql/q09.out | 2 +- .../data/datev2/tpcds_sf1_p1/sql/q11.out | 1 - .../data/datev2/tpcds_sf1_p1/sql/q12.out | 200 +- .../data/datev2/tpcds_sf1_p1/sql/q13.out | 2 +- .../data/datev2/tpcds_sf1_p1/sql/q14_1.out | 14 +- .../data/datev2/tpcds_sf1_p1/sql/q14_2.out | 38 +- .../data/datev2/tpcds_sf1_p1/sql/q15.out | 20 +- .../data/datev2/tpcds_sf1_p1/sql/q18.out | 200 +- .../data/datev2/tpcds_sf1_p1/sql/q19.out | 26 +- .../data/datev2/tpcds_sf1_p1/sql/q20.out | 200 +- .../data/datev2/tpcds_sf1_p1/sql/q24_1.out | 8 +- .../data/datev2/tpcds_sf1_p1/sql/q26.out | 178 +- .../data/datev2/tpcds_sf1_p1/sql/q27.out | 180 +- 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changed, 29230 insertions(+), 8063 deletions(-) create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q01.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q02.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q03.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q04.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q05.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q06.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q07.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q08.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q09.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q10.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q11.out create mode 100644 regression-test/data/decimalv3/tpch_sf1_p1/sql/q12.out create mode 100644 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create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q10.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q11.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q12.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q13.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q14.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q15.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q16.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q17.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q18.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q19.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q20.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q21.sql create mode 100644 regression-test/suites/decimalv3/tpch_sf1_p1/sql/q22.sql diff --git a/be/src/vec/aggregate_functions/aggregate_function_avg.h b/be/src/vec/aggregate_functions/aggregate_function_avg.h index ae1ea26903..783b115124 100644 --- a/be/src/vec/aggregate_functions/aggregate_function_avg.h +++ b/be/src/vec/aggregate_functions/aggregate_function_avg.h @@ -81,9 +81,11 @@ template class AggregateFunctionAvg final : public IAggregateFunctionDataHelper> { public: - using ResultType = std::conditional_t, Decimal128, Float64>; - using ResultDataType = std::conditional_t, DataTypeDecimal, - DataTypeNumber>; + using ResultType = DisposeDecimal; + using ResultDataType = + std::conditional_t, DataTypeDecimal, + std::conditional_t, DataTypeDecimal, + DataTypeNumber>>; using ColVecType = std::conditional_t, ColumnDecimal, ColumnVector>; using ColVecResult = std::conditional_t, ColumnDecimal, diff --git a/be/src/vec/aggregate_functions/aggregate_function_sum.cpp b/be/src/vec/aggregate_functions/aggregate_function_sum.cpp index 60313f6547..ca40e4196c 100644 --- a/be/src/vec/aggregate_functions/aggregate_function_sum.cpp +++ b/be/src/vec/aggregate_functions/aggregate_function_sum.cpp @@ -31,7 +31,7 @@ namespace doris::vectorized { template struct SumSimple { /// @note It uses slow Decimal128 (cause we need such a variant). sumWithOverflow is faster for Decimal32/64 - using ResultType = std::conditional_t, Decimal128, NearestFieldType>; + using ResultType = DisposeDecimal>; // using ResultType = NearestFieldType; using AggregateDataType = AggregateFunctionSumData; using Function = AggregateFunctionSum; diff --git a/be/src/vec/aggregate_functions/helpers.h b/be/src/vec/aggregate_functions/helpers.h index a6ada661b6..36e11f7011 100644 --- a/be/src/vec/aggregate_functions/helpers.h +++ b/be/src/vec/aggregate_functions/helpers.h @@ -187,7 +187,7 @@ static IAggregateFunction* create_with_decimal_type(const IDataType& argument_ty return new AggregateFunctionTemplate(std::forward(args)...); } if (which.idx == TypeIndex::Decimal128I) { - return new AggregateFunctionTemplate(std::forward(args)...); + return new AggregateFunctionTemplate(std::forward(args)...); } return nullptr; } diff --git a/be/src/vec/core/types.h b/be/src/vec/core/types.h index b61dedb686..7636d714b3 100644 --- a/be/src/vec/core/types.h +++ b/be/src/vec/core/types.h @@ -413,6 +413,10 @@ inline constexpr bool IsDecimal128I = true; template constexpr bool IsDecimalV2 = IsDecimal128 && !IsDecimal128I; +template +using DisposeDecimal = std::conditional_t, Decimal128, + std::conditional_t, Decimal128I, U>>; + template constexpr bool IsFloatNumber = false; template <> diff --git a/be/src/vec/data_types/data_type_decimal.cpp b/be/src/vec/data_types/data_type_decimal.cpp index 12dbd228b2..075469d42e 100644 --- a/be/src/vec/data_types/data_type_decimal.cpp +++ b/be/src/vec/data_types/data_type_decimal.cpp @@ -163,7 +163,7 @@ T DataTypeDecimal::parse_from_string(const std::string& str) const { DataTypePtr create_decimal(UInt64 precision_value, UInt64 scale_value, bool use_v2) { if (precision_value < min_decimal_precision() || precision_value > max_decimal_precision()) { - LOG(FATAL) << "Wrong precision"; + LOG(FATAL) << "Wrong precision " << precision_value; } if (static_cast(scale_value) > precision_value) { diff --git a/be/src/vec/exec/vaggregation_node.cpp b/be/src/vec/exec/vaggregation_node.cpp index 90768ceec5..e003adfdea 100644 --- a/be/src/vec/exec/vaggregation_node.cpp +++ b/be/src/vec/exec/vaggregation_node.cpp @@ -591,7 +591,9 @@ Status AggregationNode::_get_without_key_result(RuntimeState* state, Block* bloc if (!is_array(remove_nullable(column_type))) { DCHECK(column_type->is_nullable()); DCHECK(!data_types[i]->is_nullable()); - DCHECK(remove_nullable(column_type)->equals(*data_types[i])); + DCHECK(remove_nullable(column_type)->equals(*data_types[i])) + << " column type: " << remove_nullable(column_type)->get_name() + << ", data type: " << data_types[i]->get_name(); } ColumnPtr ptr = std::move(columns[i]); diff --git a/be/src/vec/exprs/vliteral.cpp b/be/src/vec/exprs/vliteral.cpp index 0b9ca3a5d0..27324e5c0a 100644 --- a/be/src/vec/exprs/vliteral.cpp +++ b/be/src/vec/exprs/vliteral.cpp @@ -168,10 +168,10 @@ void VLiteral::init(const TExprNode& node) { DCHECK(node.__isset.decimal_literal); DataTypePtr type_ptr = create_decimal(node.type.types[0].scalar_type.precision, node.type.types[0].scalar_type.scale, false); - auto val = typeid_cast*>(type_ptr.get()) + auto val = typeid_cast*>(type_ptr.get()) ->parse_from_string(node.decimal_literal.value); auto scale = - typeid_cast*>(type_ptr.get())->get_scale(); + typeid_cast*>(type_ptr.get())->get_scale(); field = DecimalField(val, scale); break; } diff --git a/be/src/vec/functions/array/function_array_aggregation.cpp b/be/src/vec/functions/array/function_array_aggregation.cpp index 7db0b3d63a..94218de9b2 100644 --- a/be/src/vec/functions/array/function_array_aggregation.cpp +++ b/be/src/vec/functions/array/function_array_aggregation.cpp @@ -55,18 +55,18 @@ struct ArrayAggregateResultImpl { template struct ArrayAggregateResultImpl { - using Result = std::conditional_t, Decimal128, Float64>; + using Result = DisposeDecimal; }; template struct ArrayAggregateResultImpl { - using Result = std::conditional_t, Decimal128, Float64>; + using Result = DisposeDecimal; }; template struct ArrayAggregateResultImpl { - using Result = std::conditional_t< - IsDecimalNumber, Decimal128, + using Result = DisposeDecimal< + Element, std::conditional_t, Float64, std::conditional_t, Int128, Int64>>>; }; diff --git a/be/src/vec/functions/function_binary_arithmetic.h b/be/src/vec/functions/function_binary_arithmetic.h index f3f43a4f75..e9f088369c 100644 --- a/be/src/vec/functions/function_binary_arithmetic.h +++ b/be/src/vec/functions/function_binary_arithmetic.h @@ -227,25 +227,11 @@ struct DecimalBinaryOperation { using ArrayC = typename ColumnDecimal::Container; static void vector_vector(const typename Traits::ArrayA& a, const typename Traits::ArrayB& b, - ArrayC& c, ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]]) { + ArrayC& c) { size_t size = a.size(); - if constexpr (OpTraits::is_plus_minus) { - if (scale_a != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled(a[i], b[i], scale_a); - } - return; - } else if (scale_b != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled(a[i], b[i], scale_b); - } - return; - } - } - if constexpr (OpTraits::is_multiply && std::is_same_v && - std::is_same_v) { + if constexpr (OpTraits::is_multiply && IsDecimalV2 && IsDecimalV2 && + IsDecimalV2) { Op::vector_vector(a, b, c); } else { for (size_t i = 0; i < size; i++) { @@ -256,8 +242,7 @@ struct DecimalBinaryOperation { /// null_map for divide and mod static void vector_vector(const typename Traits::ArrayA& a, const typename Traits::ArrayB& b, - ArrayC& c, ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]], NullMap& null_map) { + ArrayC& c, NullMap& null_map) { size_t size = a.size(); if constexpr (IsDecimalV2 || IsDecimalV2) { /// default: use it if no return before @@ -267,44 +252,18 @@ struct DecimalBinaryOperation { } else { if constexpr (OpTraits::is_division && IsDecimalNumber) { for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_div(a[i], b[i], scale_a, null_map[i]); + c[i] = apply_scaled_div(a[i], b[i], null_map[i]); } return; - } else if constexpr (OpTraits::is_mod) { - if (scale_a != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_mod(a[i], b[i], scale_a, null_map[i]); - } - return; - } else if (scale_b != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_mod(a[i], b[i], scale_b, null_map[i]); - } - return; - } } } } - static void vector_constant(const typename Traits::ArrayA& a, B b, ArrayC& c, - ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]]) { + static void vector_constant(const typename Traits::ArrayA& a, B b, ArrayC& c) { size_t size = a.size(); - if constexpr (OpTraits::is_plus_minus) { - if (scale_a != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled(a[i], b, scale_a); - } - return; - } else if (scale_b != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled(a[i], b, scale_b); - } - return; - } - } else if constexpr (OpTraits::is_division && IsDecimalNumber) { + if constexpr (OpTraits::is_division && IsDecimalNumber) { for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_div(a[i], b, scale_a); + c[i] = apply_scaled_div(a[i], b); } return; } @@ -316,26 +275,13 @@ struct DecimalBinaryOperation { } static void vector_constant(const typename Traits::ArrayA& a, B b, ArrayC& c, - ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]], NullMap& null_map) { + NullMap& null_map) { size_t size = a.size(); if constexpr (OpTraits::is_division && IsDecimalNumber) { for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_div(a[i], b, scale_a, null_map[i]); + c[i] = apply_scaled_div(a[i], b, null_map[i]); } return; - } else if constexpr (OpTraits::is_mod) { - if (scale_a != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_mod(a[i], b, scale_a, null_map[i]); - } - return; - } else if (scale_b != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_mod(a[i], b, scale_b, null_map[i]); - } - return; - } } for (size_t i = 0; i < size; ++i) { @@ -343,25 +289,11 @@ struct DecimalBinaryOperation { } } - static void constant_vector(A a, const typename Traits::ArrayB& b, ArrayC& c, - ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]]) { + static void constant_vector(A a, const typename Traits::ArrayB& b, ArrayC& c) { size_t size = b.size(); - if constexpr (OpTraits::is_plus_minus) { - if (scale_a != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled(a, b[i], scale_a); - } - return; - } else if (scale_b != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled(a, b[i], scale_b); - } - return; - } - } else if constexpr (OpTraits::is_division && IsDecimalNumber) { + if constexpr (OpTraits::is_division && IsDecimalNumber) { for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_div(a, b[i], scale_a); + c[i] = apply_scaled_div(a, b[i]); } return; } @@ -373,26 +305,13 @@ struct DecimalBinaryOperation { } static void constant_vector(A a, const typename Traits::ArrayB& b, ArrayC& c, - ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]], NullMap& null_map) { + NullMap& null_map) { size_t size = b.size(); if constexpr (OpTraits::is_division && IsDecimalNumber) { for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_div(a, b[i], scale_a, null_map[i]); + c[i] = apply_scaled_div(a, b[i], null_map[i]); } return; - } else if constexpr (OpTraits::is_mod) { - if (scale_a != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_mod(a, b[i], scale_a, null_map[i]); - } - return; - } else if (scale_b != 1) { - for (size_t i = 0; i < size; ++i) { - c[i] = apply_scaled_mod(a, b[i], scale_b, null_map[i]); - } - return; - } } for (size_t i = 0; i < size; ++i) { @@ -400,108 +319,90 @@ struct DecimalBinaryOperation { } } - static ResultType constant_constant(A a, B b, ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]]) { - if constexpr (OpTraits::is_plus_minus) { - if (scale_a != 1) { - return apply_scaled(a, b, scale_a); - } else if (scale_b != 1) { - return apply_scaled(a, b, scale_b); - } - } else if constexpr (OpTraits::is_division && IsDecimalNumber) { - return apply_scaled_div(a, b, scale_a); + static ResultType constant_constant(A a, B b) { + if constexpr (OpTraits::is_division && IsDecimalNumber) { + return apply_scaled_div(a, b); } return apply(a, b); } - static ResultType constant_constant(A a, B b, ResultType scale_a [[maybe_unused]], - ResultType scale_b [[maybe_unused]], UInt8& is_null) { - if constexpr (OpTraits::is_plus_minus) { - if (scale_a != 1) { - return apply_scaled(a, b, scale_a, is_null); - } else if (scale_b != 1) { - return apply_scaled(a, b, scale_b, is_null); - } - } else if constexpr (OpTraits::is_division && IsDecimalNumber) { - return apply_scaled_div(a, b, scale_a, is_null); - } else if constexpr (OpTraits::is_mod) { - if (scale_a != 1) { - return apply_scaled_mod(a, b, scale_a, is_null); - } else if (scale_b != 1) { - return apply_scaled_mod(a, b, scale_b, is_null); - } + static ResultType constant_constant(A a, B b, UInt8& is_null) { + if constexpr (OpTraits::is_division && IsDecimalNumber) { + return apply_scaled_div(a, b, is_null); } return apply(a, b, is_null); } - static ColumnPtr adapt_decimal_constant_constant(A a, B b, UInt32 scale, ResultType scale_a, - ResultType scale_b) { - auto column_result = ColumnDecimal::create(1, scale); + static ColumnPtr adapt_decimal_constant_constant(A a, B b, DataTypePtr res_data_type) { + auto column_result = ColumnDecimal::create( + 1, assert_cast&>(*res_data_type).get_scale()); if constexpr (is_to_null_type) { auto null_map = ColumnUInt8::create(1, 0); - column_result->get_element(0) = - constant_constant(a, b, scale_a, scale_b, null_map->get_element(0)); + column_result->get_element(0) = constant_constant(a, b, null_map->get_element(0)); return ColumnNullable::create(std::move(column_result), std::move(null_map)); } else { - column_result->get_element(0) = constant_constant(a, b, scale_a, scale_b); + column_result->get_element(0) = constant_constant(a, b); return column_result; } } - static ColumnPtr adapt_decimal_vector_constant(ColumnPtr column_left, B b, UInt32 column_scale, - ResultType scale_a, ResultType scale_b) { + static ColumnPtr adapt_decimal_vector_constant(ColumnPtr column_left, B b, + DataTypePtr res_data_type) { auto column_left_ptr = check_and_get_column(column_left); - auto column_result = ColumnDecimal::create(column_left->size(), column_scale); + auto column_result = ColumnDecimal::create( + column_left->size(), + assert_cast&>(*res_data_type).get_scale()); DCHECK(column_left_ptr != nullptr); if constexpr (is_to_null_type) { auto null_map = ColumnUInt8::create(column_left->size(), 0); - vector_constant(column_left_ptr->get_data(), b, column_result->get_data(), scale_a, - scale_b, null_map->get_data()); + vector_constant(column_left_ptr->get_data(), b, column_result->get_data(), + null_map->get_data()); return ColumnNullable::create(std::move(column_result), std::move(null_map)); } else { - vector_constant(column_left_ptr->get_data(), b, column_result->get_data(), scale_a, - scale_b); + vector_constant(column_left_ptr->get_data(), b, column_result->get_data()); return column_result; } } - static ColumnPtr adapt_decimal_constant_vector(A a, ColumnPtr column_right, UInt32 column_scale, - ResultType scale_a, ResultType scale_b) { + static ColumnPtr adapt_decimal_constant_vector(A a, ColumnPtr column_right, + DataTypePtr res_data_type) { auto column_right_ptr = check_and_get_column(column_right); - auto column_result = ColumnDecimal::create(column_right->size(), column_scale); + auto column_result = ColumnDecimal::create( + column_right->size(), + assert_cast&>(*res_data_type).get_scale()); DCHECK(column_right_ptr != nullptr); if constexpr (is_to_null_type) { auto null_map = ColumnUInt8::create(column_right->size(), 0); - constant_vector(a, column_right_ptr->get_data(), column_result->get_data(), scale_a, - scale_b, null_map->get_data()); + constant_vector(a, column_right_ptr->get_data(), column_result->get_data(), + null_map->get_data()); return ColumnNullable::create(std::move(column_result), std::move(null_map)); } else { - constant_vector(a, column_right_ptr->get_data(), column_result->get_data(), scale_a, - scale_b); + constant_vector(a, column_right_ptr->get_data(), column_result->get_data()); return column_result; } } static ColumnPtr adapt_decimal_vector_vector(ColumnPtr column_left, ColumnPtr column_right, - UInt32 column_scale, ResultType scale_a, - ResultType scale_b) { + DataTypePtr res_data_type) { auto column_left_ptr = check_and_get_column(column_left); auto column_right_ptr = check_and_get_column(column_right); - auto column_result = ColumnDecimal::create(column_left->size(), column_scale); + auto column_result = ColumnDecimal::create( + column_left->size(), + assert_cast&>(*res_data_type).get_scale()); DCHECK(column_left_ptr != nullptr && column_right_ptr != nullptr); if constexpr (is_to_null_type) { auto null_map = ColumnUInt8::create(column_result->size(), 0); vector_vector(column_left_ptr->get_data(), column_right_ptr->get_data(), - column_result->get_data(), scale_a, scale_b, null_map->get_data()); + column_result->get_data(), null_map->get_data()); return ColumnNullable::create(std::move(column_result), std::move(null_map)); } else { vector_vector(column_left_ptr->get_data(), column_right_ptr->get_data(), - column_result->get_data(), scale_a, scale_b); + column_result->get_data()); return column_result; } } @@ -547,19 +448,12 @@ private: } } - template - static NativeResultType apply_scaled(NativeResultType a, NativeResultType b, - NativeResultType scale) { + static NativeResultType apply_scaled(NativeResultType a, NativeResultType b) { if constexpr (OpTraits::is_plus_minus) { NativeResultType res; if constexpr (check_overflow) { bool overflow = false; - if constexpr (scale_left) { - overflow |= common::mul_overflow(a, scale, a); - } else { - overflow |= common::mul_overflow(b, scale, b); - } if constexpr (OpTraits::can_overflow) { overflow |= Op::template apply(a, b, res); @@ -573,11 +467,6 @@ private: res = max_decimal_value(); } } else { - if constexpr (scale_left) { - a *= scale; - } else { - b *= scale; - } res = apply(a, b); } @@ -586,52 +475,14 @@ private: } static NativeResultType apply_scaled_div(NativeResultType a, NativeResultType b, - NativeResultType scale, UInt8& is_null) { + UInt8& is_null) { if constexpr (OpTraits::is_division) { - if constexpr (check_overflow) { - bool overflow = false; - if constexpr (!IsDecimalNumber) { - overflow |= common::mul_overflow(scale, scale, scale); - } - overflow |= common::mul_overflow(a, scale, a); - // TODO handle overflow gracefully - if (overflow) { - LOG(WARNING) << "Decimal math overflow"; - return max_decimal_value(); - } - } else { - if constexpr (!IsDecimalNumber) { - scale *= scale; - } - a *= scale; - } - return apply(a, b, is_null); } } - template static NativeResultType apply_scaled_mod(NativeResultType a, NativeResultType b, - NativeResultType scale, UInt8& is_null) { - if constexpr (check_overflow) { - bool overflow = false; - if constexpr (scale_left) - overflow |= common::mul_overflow(a, scale, a); - else - overflow |= common::mul_overflow(b, scale, b); - - // TODO handle overflow gracefully - if (overflow) { - LOG(WARNING) << "Decimal math overflow"; - return max_decimal_value(); - } - } else { - if constexpr (scale_left) - a *= scale; - else - b *= scale; - } - + UInt8& is_null) { return apply(a, b, is_null); } }; @@ -718,15 +569,13 @@ struct BinaryOperationTraits { DataTypeFromFieldType>>; }; -template class Operation, bool is_to_null_type> struct ConstOrVectorAdapter { static constexpr bool result_is_decimal = IsDataTypeDecimal || IsDataTypeDecimal; - using OpTraits = OperationTraits; - using ResultDataType = - typename BinaryOperationTraits::ResultDataType; + using ResultDataType = ExpectedResultDataType; using ResultType = typename ResultDataType::FieldType; using A = typename LeftDataType::FieldType; using B = typename RightDataType::FieldType; @@ -737,42 +586,27 @@ struct ConstOrVectorAdapter { BinaryOperationImpl, is_to_null_type, ResultType>>; static ColumnPtr execute(ColumnPtr column_left, ColumnPtr column_right, - const LeftDataType& type_left, const RightDataType& type_right) { + const LeftDataType& type_left, const RightDataType& type_right, + DataTypePtr res_data_type) { bool is_const_left = is_column_const(*column_left); bool is_const_right = is_column_const(*column_right); if (is_const_left && is_const_right) { - return constant_constant(column_left, column_right, type_left, type_right); + return constant_constant(column_left, column_right, type_left, type_right, + res_data_type); } else if (is_const_left) { - return constant_vector(column_left, column_right, type_left, type_right); + return constant_vector(column_left, column_right, type_left, type_right, res_data_type); } else if (is_const_right) { - return vector_constant(column_left, column_right, type_left, type_right); + return vector_constant(column_left, column_right, type_left, type_right, res_data_type); } else { - return vector_vector(column_left, column_right, type_left, type_right); + return vector_vector(column_left, column_right, type_left, type_right, res_data_type); } } private: - static auto get_decimal_infos(const LeftDataType& type_left, const RightDataType& type_right) { - ResultDataType type = decimal_result_type(type_left, type_right, OpTraits::is_multiply, - OpTraits::is_division); - typename ResultDataType::FieldType scale_a; - typename ResultDataType::FieldType scale_b; - - if constexpr (OpTraits::is_division && IsDataTypeDecimal && - !IsDecimalV2 && !IsDecimalV2) { - scale_a = type_right.get_scale_multiplier(); - scale_b = 1; - return std::make_tuple(type, scale_a, scale_b); - } - scale_a = type.scale_factor_for(type_left, OpTraits::is_multiply); - scale_b = type.scale_factor_for(type_right, OpTraits::is_multiply || OpTraits::is_division); - return std::make_tuple(type, scale_a, scale_b); - } - static ColumnPtr constant_constant(ColumnPtr column_left, ColumnPtr column_right, const LeftDataType& type_left, - const RightDataType& type_right) { + const RightDataType& type_right, DataTypePtr res_data_type) { auto column_left_ptr = check_and_get_column(column_left); auto column_right_ptr = check_and_get_column(column_right); DCHECK(column_left_ptr != nullptr && column_right_ptr != nullptr); @@ -780,11 +614,9 @@ private: ColumnPtr column_result = nullptr; if constexpr (result_is_decimal) { - auto [type, scale_a, scale_b] = get_decimal_infos(type_left, type_right); - column_result = OperationImpl::adapt_decimal_constant_constant( column_left_ptr->template get_value(), - column_right_ptr->template get_value(), type.get_scale(), scale_a, scale_b); + column_right_ptr->template get_value(), res_data_type); } else { column_result = OperationImpl::adapt_normal_constant_constant( @@ -796,17 +628,15 @@ private: } static ColumnPtr vector_constant(ColumnPtr column_left, ColumnPtr column_right, - const LeftDataType& type_left, - const RightDataType& type_right) { + const LeftDataType& type_left, const RightDataType& type_right, + DataTypePtr res_data_type) { auto column_right_ptr = check_and_get_column(column_right); DCHECK(column_right_ptr != nullptr); if constexpr (result_is_decimal) { - auto [type, scale_a, scale_b] = get_decimal_infos(type_left, type_right); - return OperationImpl::adapt_decimal_vector_constant( column_left->get_ptr(), column_right_ptr->template get_value(), - type.get_scale(), scale_a, scale_b); + res_data_type); } else { return OperationImpl::adapt_normal_vector_constant( column_left->get_ptr(), column_right_ptr->template get_value()); @@ -814,17 +644,15 @@ private: } static ColumnPtr constant_vector(ColumnPtr column_left, ColumnPtr column_right, - const LeftDataType& type_left, - const RightDataType& type_right) { + const LeftDataType& type_left, const RightDataType& type_right, + DataTypePtr res_data_type) { auto column_left_ptr = check_and_get_column(column_left); DCHECK(column_left_ptr != nullptr); if constexpr (result_is_decimal) { - auto [type, scale_a, scale_b] = get_decimal_infos(type_left, type_right); - return OperationImpl::adapt_decimal_constant_vector( column_left_ptr->template get_value(), column_right->get_ptr(), - type.get_scale(), scale_a, scale_b); + res_data_type); } else { return OperationImpl::adapt_normal_constant_vector( column_left_ptr->template get_value(), column_right->get_ptr()); @@ -832,13 +660,11 @@ private: } static ColumnPtr vector_vector(ColumnPtr column_left, ColumnPtr column_right, - const LeftDataType& type_left, const RightDataType& type_right) { + const LeftDataType& type_left, const RightDataType& type_right, + DataTypePtr res_data_type) { if constexpr (result_is_decimal) { - auto [type, scale_a, scale_b] = get_decimal_infos(type_left, type_right); - - return OperationImpl::adapt_decimal_vector_vector(column_left->get_ptr(), - column_right->get_ptr(), - type.get_scale(), scale_a, scale_b); + return OperationImpl::adapt_decimal_vector_vector( + column_left->get_ptr(), column_right->get_ptr(), res_data_type); } else { return OperationImpl::adapt_normal_vector_vector(column_left->get_ptr(), column_right->get_ptr()); @@ -866,6 +692,16 @@ class FunctionBinaryArithmetic : public IFunction { }); } + template + static bool cast_both_types(const IDataType* left, const IDataType* right, const IDataType* res, + F&& f) { + return cast_type(left, [&](const auto& left_) { + return cast_type(right, [&](const auto& right_) { + return cast_type(res, [&](const auto& res_) { return f(left_, right_, res_); }); + }); + }); + } + public: static constexpr auto name = Name::name; @@ -932,6 +768,7 @@ public: size_t result, size_t input_rows_count) override { auto* left_generic = block.get_by_position(arguments[0]).type.get(); auto* right_generic = block.get_by_position(arguments[1]).type.get(); + auto* result_generic = block.get_by_position(result).type.get(); if (left_generic->is_nullable()) { left_generic = static_cast(left_generic)->get_nested_type().get(); @@ -940,19 +777,35 @@ public: right_generic = static_cast(right_generic)->get_nested_type().get(); } + if (result_generic->is_nullable()) { + result_generic = + static_cast(result_generic)->get_nested_type().get(); + } bool valid = cast_both_types( - left_generic, right_generic, [&](const auto& left, const auto& right) { + left_generic, right_generic, result_generic, + [&](const auto& left, const auto& right, const auto& res) { using LeftDataType = std::decay_t; using RightDataType = std::decay_t; + using ExpectedResultDataType = std::decay_t; using ResultDataType = typename BinaryOperationTraits::ResultDataType; - if constexpr (!std::is_same_v) { - auto column_result = ConstOrVectorAdapter:: + if constexpr ( + !std::is_same_v && + (IsDataTypeDecimal == + IsDataTypeDecimal< + ResultDataType>)&&(IsDataTypeDecimal == + (IsDataTypeDecimal || + IsDataTypeDecimal))) { + auto column_result = ConstOrVectorAdapter< + LeftDataType, RightDataType, + std::conditional_t, + ExpectedResultDataType, ResultDataType>, + Operation, is_to_null_type>:: execute(block.get_by_position(arguments[0]).column, - block.get_by_position(arguments[1]).column, left, right); + block.get_by_position(arguments[1]).column, left, right, + remove_nullable(block.get_by_position(result).type)); block.replace_by_position(result, std::move(column_result)); return true; } diff --git a/be/src/vec/functions/function_unary_arithmetic.h b/be/src/vec/functions/function_unary_arithmetic.h index 3c1f3739ac..c92ceb54d1 100644 --- a/be/src/vec/functions/function_unary_arithmetic.h +++ b/be/src/vec/functions/function_unary_arithmetic.h @@ -65,13 +65,12 @@ class FunctionUnaryArithmetic : public IFunction { template static bool cast_type(const IDataType* type, F&& f) { - return cast_type_to_either< - DataTypeUInt8, DataTypeUInt16, DataTypeUInt32, DataTypeUInt64, DataTypeInt8, - DataTypeInt16, DataTypeInt32, DataTypeInt64, DataTypeInt128, DataTypeFloat32, - DataTypeFloat64, - // DataTypeDecimal, - // DataTypeDecimal, - DataTypeDecimal>(type, std::forward(f)); + return cast_type_to_either, DataTypeDecimal, + DataTypeDecimal, DataTypeDecimal>( + type, std::forward(f)); } public: diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/Analyzer.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/Analyzer.java index baa45ca017..dcefba23ea 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/Analyzer.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/Analyzer.java @@ -1936,6 +1936,9 @@ public class Analyzer { && ((StringLiteral) exprs.get(i)).canConvertToDateV2(compatibleType)) { // If string literal can be converted to dateV2, we use datev2 as the compatible type // instead of datetimev2. + } else if (exprs.get(i).isConstantImpl()) { + exprs.get(i).compactForLiteral(compatibleType); + compatibleType = Type.getCmpType(compatibleType, exprs.get(i).getType()); } else { compatibleType = Type.getCmpType(compatibleType, exprs.get(i).getType()); } diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/ArithmeticExpr.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/ArithmeticExpr.java index 0d4ad91812..67b5359348 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/ArithmeticExpr.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/ArithmeticExpr.java @@ -41,7 +41,6 @@ import org.apache.logging.log4j.Logger; import java.io.DataInput; import java.io.DataOutput; import java.io.IOException; -import java.util.Arrays; import java.util.List; import java.util.Objects; @@ -127,14 +126,38 @@ public class ArithmeticExpr extends Expr { Operator.DIVIDE.getName(), Lists.newArrayList(Type.DECIMAL32, Type.DECIMAL32), Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL32, Type.DECIMAL64), + Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL32, Type.DECIMAL128), + Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( Operator.DIVIDE.getName(), Lists.newArrayList(Type.DECIMAL64, Type.DECIMAL64), Type.DECIMAL64, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL64, Type.DECIMAL32), + Type.DECIMAL64, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL64, Type.DECIMAL128), + Type.DECIMAL64, Function.NullableMode.ALWAYS_NULLABLE)); functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( Operator.DIVIDE.getName(), Lists.newArrayList(Type.DECIMAL128, Type.DECIMAL128), Type.DECIMAL128, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL128, Type.DECIMAL32), + Type.DECIMAL128, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL128, Type.DECIMAL64), + Type.DECIMAL128, Function.NullableMode.ALWAYS_NULLABLE)); // MOD(), FACTORIAL(), BITAND(), BITOR(), BITXOR(), and BITNOT() are registered as // builtins, see palo_functions.py @@ -174,14 +197,38 @@ public class ArithmeticExpr extends Expr { Operator.DIVIDE.getName(), Lists.newArrayList(Type.DECIMAL32, Type.DECIMAL32), Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL32, Type.DECIMAL64), + Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL32, Type.DECIMAL128), + Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( Operator.DIVIDE.getName(), Lists.newArrayList(Type.DECIMAL64, Type.DECIMAL64), Type.DECIMAL64, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL64, Type.DECIMAL128), + Type.DECIMAL64, Function.NullableMode.ALWAYS_NULLABLE)); functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( Operator.DIVIDE.getName(), Lists.newArrayList(Type.DECIMAL128, Type.DECIMAL128), Type.DECIMAL128, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL64, Type.DECIMAL32), + Type.DECIMAL32, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL128, Type.DECIMAL64), + Type.DECIMAL64, Function.NullableMode.ALWAYS_NULLABLE)); + functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( + Operator.DIVIDE.getName(), + Lists.newArrayList(Type.DECIMAL128, Type.DECIMAL32), + Type.DECIMAL128, Function.NullableMode.ALWAYS_NULLABLE)); functionSet.addBuiltin(ScalarFunction.createVecBuiltinOperator( Operator.MOD.getName(), @@ -417,11 +464,11 @@ public class ArithmeticExpr extends Expr { */ public static Type convertIntToDecimalV3Type(Type type) throws AnalysisException { if (type.isLargeIntType()) { - return ScalarType.createDecimalType(ScalarType.MAX_DECIMAL128_PRECISION, 0); + return ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL128_PRECISION, 0); } else if (type.isBigIntType()) { - return ScalarType.createDecimalType(ScalarType.MAX_DECIMAL64_PRECISION, 0); + return ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL64_PRECISION, 0); } else if (type.isInteger32Type()) { - return ScalarType.createDecimalType(ScalarType.MAX_DECIMAL32_PRECISION, 0); + return ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL32_PRECISION, 0); } else { Preconditions.checkState(false, "Implicit converting to decimal for arithmetic operations only support integer"); @@ -429,6 +476,10 @@ public class ArithmeticExpr extends Expr { } } + public static Type convertDecimalV2ToDecimalV3Type(ScalarType type) { + return ScalarType.createDecimalV3Type(type.decimalPrecision(), type.decimalScale()); + } + private void analyzeDecimalV3Op(Type t1, Type t2) throws AnalysisException { Type t1TargetType = t1; Type t2TargetType = t2; @@ -439,7 +490,7 @@ public class ArithmeticExpr extends Expr { case MOD: case DIVIDE: if (t1.isFloatingPointType() || t2.isFloatingPointType()) { - castBinaryOp(type.DOUBLE); + type = castBinaryOp(ScalarType.DOUBLE); break; } if (t1.isFixedPointType()) { @@ -450,23 +501,61 @@ public class ArithmeticExpr extends Expr { t2TargetType = convertIntToDecimalV3Type(t2); castChild(t2TargetType, 1); } + if (t1.isDecimalV2()) { + t1TargetType = convertDecimalV2ToDecimalV3Type((ScalarType) t1); + castChild(t1TargetType, 0); + } + if (t2.isDecimalV2()) { + t2TargetType = convertDecimalV2ToDecimalV3Type((ScalarType) t2); + castChild(t2TargetType, 1); + } final int t1Precision = ((ScalarType) t1TargetType).getScalarPrecision(); final int t2Precision = ((ScalarType) t2TargetType).getScalarPrecision(); final int t1Scale = ((ScalarType) t1TargetType).getScalarScale(); final int t2Scale = ((ScalarType) t2TargetType).getScalarScale(); - final int precision = Math.max(t1Precision, t2Precision); + int precision = Math.max(t1Precision, t2Precision); int scale = Math.max(t1Scale, t2Scale); + + // operands: DECIMALV3(precision1, scale1) and DECIMALV3(precision2, scale2) + // we use widthOfIntPart to present width of integer part. + int widthOfIntPart1 = t1Precision - t1Scale; + int widthOfIntPart2 = t2Precision - t2Scale; if (op == Operator.MULTIPLY) { + // target type: DECIMALV3(precision1 + precision2, scale1 + scale2) scale = t1Scale + t2Scale; - } - if (op == Operator.DIVIDE) { + precision = t1Precision + t2Precision; + } else if (op == Operator.DIVIDE) { + precision = t1TargetType.getPrecision() + t2Scale; scale = t1Scale; + } else if (op == Operator.ADD || op == Operator.SUBTRACT) { + // target type: DECIMALV3(max(widthOfIntPart1, widthOfIntPart2) + max(scale1, scale2) + 1, + // max(scale1, scale2)) + scale = Math.max(t1Scale, t2Scale); + precision = Math.max(widthOfIntPart1, widthOfIntPart2) + scale; + } + if (precision < scale) { + type = castBinaryOp(Type.DOUBLE); + break; + } + if (precision > ScalarType.MAX_DECIMAL128_PRECISION) { + // TODO(gabriel): if precision is bigger than 38? + precision = ScalarType.MAX_DECIMAL128_PRECISION; + } + type = ScalarType.createDecimalV3Type(precision, scale); + if (op == Operator.ADD || op == Operator.SUBTRACT) { + if (!Type.matchExactType(type, children.get(0).type)) { + castChild(type, 0); + } + if (!Type.matchExactType(type, children.get(1).type)) { + castChild(type, 1); + } + } else if (op == Operator.DIVIDE && (t2Scale != 0) && t1.isDecimalV3()) { + castChild(ScalarType.createDecimalV3Type(precision, t1Scale + t2Scale), 0); } - type = ScalarType.createWiderDecimalV3Type(precision, scale); break; case INT_DIVIDE: if (!t1.isFixedPointType() || !t2.isFloatingPointType()) { - castBinaryOp(Type.BIGINT); + type = castBinaryOp(Type.BIGINT); } break; case BITAND: @@ -487,6 +576,11 @@ public class ArithmeticExpr extends Expr { @Override public void analyzeImpl(Analyzer analyzer) throws AnalysisException { if (VectorizedUtil.isVectorized()) { + for (Expr child : children) { + if (child instanceof DecimalLiteral && child.getType().isDecimalV3()) { + ((DecimalLiteral) child).tryToReduceType(); + } + } // bitnot is the only unary op, deal with it here if (op == Operator.BITNOT) { Type t = getChild(0).getType(); @@ -533,24 +627,12 @@ public class ArithmeticExpr extends Expr { } else { analyzeNoneDecimalOp(t1, t2); } - fn = getBuiltinFunction(op.name, Arrays.stream(collectChildReturnTypes()).map( - (Type type) -> { - if (type.getPrimitiveType() == PrimitiveType.DECIMAL32) { - return Type.DECIMAL32; - } else if (type.getPrimitiveType() == PrimitiveType.DECIMAL64) { - return Type.DECIMAL64; - } else if (type.getPrimitiveType() == PrimitiveType.DECIMAL128) { - return Type.DECIMAL128; - } else if (type.getPrimitiveType() == PrimitiveType.DATETIMEV2) { - return Type.DATETIMEV2; - } - return type; - }).toArray(Type[]::new), Function.CompareMode.IS_IDENTICAL); + fn = getBuiltinFunction(op.name, collectChildReturnTypes(), Function.CompareMode.IS_IDENTICAL); if (fn == null) { Preconditions.checkState(false, String.format( "No match for vec function '%s' with operand types %s and %s", toSql(), t1, t2)); } - if (!type.isValid()) { + if (!fn.getReturnType().isDecimalV3()) { type = fn.getReturnType(); } } else { @@ -644,6 +726,16 @@ public class ArithmeticExpr extends Expr { return 31 * super.hashCode() + Objects.hashCode(op); } + @Override + protected void compactForLiteral(Type type) throws AnalysisException { + super.compactForLiteral(type); + Type t1 = getChild(0).getType(); + Type t2 = getChild(1).getType(); + if (t1.isDecimalV3() || t2.isDecimalV3()) { + analyzeDecimalV3Op(t1, t2); + } + } + @Override public void finalizeImplForNereids() throws AnalysisException { if (op == Operator.BITNOT) { diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/BinaryPredicate.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/BinaryPredicate.java index 96f7b2c380..bd2b8245bd 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/BinaryPredicate.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/BinaryPredicate.java @@ -320,6 +320,11 @@ public class BinaryPredicate extends Predicate implements Writable { } private Type getCmpType() throws AnalysisException { + if (!getChild(0).isConstantImpl() && getChild(1).isConstantImpl()) { + getChild(1).compactForLiteral(getChild(0).getType()); + } else if (!getChild(1).isConstantImpl() && getChild(0).isConstantImpl()) { + getChild(0).compactForLiteral(getChild(1).getType()); + } PrimitiveType t1 = getChild(0).getType().getResultType().getPrimitiveType(); PrimitiveType t2 = getChild(1).getType().getResultType().getPrimitiveType(); diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/CastExpr.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/CastExpr.java index 8be425a067..ab5bc992f8 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/CastExpr.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/CastExpr.java @@ -150,8 +150,7 @@ public class CastExpr extends Expr { private static boolean disableRegisterCastingFunction(Type fromType, Type toType) { // Disable casting from boolean to decimal or datetime or date - if (fromType.isBoolean() && (toType.equals(Type.DECIMALV2) || toType.isDecimalV3() - || toType.isDateType())) { + if (fromType.isBoolean() && (toType.equals(Type.DECIMALV2) || toType.isDateType())) { return true; } @@ -160,7 +159,7 @@ public class CastExpr extends Expr { return true; } // Disable no-op casting - return fromType.equals(toType); + return fromType.equals(toType) && !fromType.isDecimalV3(); } public static void initBuiltins(FunctionSet functionSet) { @@ -304,7 +303,8 @@ public class CastExpr extends Expr { this.opcode = TExprOpcode.CAST; FunctionName fnName = new FunctionName(getFnName(type)); - Function searchDesc = new Function(fnName, Arrays.asList(collectChildReturnTypes()), Type.INVALID, false); + Function searchDesc = new Function(fnName, Arrays.asList(getActualArgTypes(collectChildReturnTypes())), + Type.INVALID, false); if (type.isScalarType()) { if (isImplicit) { fn = Env.getCurrentEnv().getFunction( @@ -330,7 +330,8 @@ public class CastExpr extends Expr { } if (PrimitiveType.typeWithPrecision.contains(type.getPrimitiveType())) { - Preconditions.checkState(type.getPrimitiveType() == fn.getReturnType().getPrimitiveType(), + Preconditions.checkState(type.isDecimalV3() == fn.getReturnType().isDecimalV3() + || type.isDatetimeV2() == fn.getReturnType().isDatetimeV2(), type + " != " + fn.getReturnType()); } else { Preconditions.checkState(type.matchesType(fn.getReturnType()), type + " != " + fn.getReturnType()); diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/DecimalLiteral.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/DecimalLiteral.java index a7f0569423..e07d246b83 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/DecimalLiteral.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/DecimalLiteral.java @@ -264,6 +264,26 @@ public class DecimalLiteral extends LiteralExpr { value = value.negate(); } + @Override + protected void compactForLiteral(Type type) throws AnalysisException { + if (type.isDecimalV3()) { + this.type = ScalarType.createDecimalV3Type(Math.max(this.value.precision(), type.getPrecision()), + Math.max(this.value.scale(), ((ScalarType) type).decimalScale())); + } + } + + public void tryToReduceType() { + if (this.type.isDecimalV3()) { + try { + value = new BigDecimal(value.longValueExact()); + } catch (ArithmeticException e) { + // ignore + } + this.type = ScalarType.createDecimalV3Type( + Math.max(this.value.scale(), this.value.precision()), this.value.scale()); + } + } + @Override public void write(DataOutput out) throws IOException { super.write(out); @@ -316,9 +336,13 @@ public class DecimalLiteral extends LiteralExpr { protected Expr uncheckedCastTo(Type targetType) throws AnalysisException { if (targetType.isDecimalV2() && type.isDecimalV2()) { return this; - } else if (targetType.isDecimalV3() && type.isDecimalV3() - && (((ScalarType) targetType).decimalPrecision() == value.precision()) - && (((ScalarType) targetType).decimalScale() == value.precision())) { + } else if ((targetType.isDecimalV3() && type.isDecimalV3() + && (((ScalarType) targetType).decimalPrecision() >= value.precision()) + && (((ScalarType) targetType).decimalScale() >= value.scale())) + || (targetType.isDecimalV3() && type.isDecimalV2() + && (((ScalarType) targetType).decimalScale() >= value.scale()))) { + // If target type is DECIMALV3, we should set type for literal + setType(targetType); return this; } else if (targetType.isFloatingPointType()) { return new FloatLiteral(value.doubleValue(), targetType); diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/Expr.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/Expr.java index 14dda6102f..e92bc720cf 100755 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/Expr.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/Expr.java @@ -1259,6 +1259,12 @@ public abstract class Expr extends TreeNode implements ParseNode, Cloneabl return true; } + protected void compactForLiteral(Type type) throws AnalysisException { + for (Expr expr : children) { + expr.compactForLiteral(type); + } + } + /** * Return true if this expr is a scalar subquery. */ @@ -1649,7 +1655,7 @@ public abstract class Expr extends TreeNode implements ParseNode, Cloneabl protected Function getBuiltinFunction(String name, Type[] argTypes, Function.CompareMode mode) throws AnalysisException { FunctionName fnName = new FunctionName(name); - Function searchDesc = new Function(fnName, Arrays.asList(argTypes), Type.INVALID, false, + Function searchDesc = new Function(fnName, Arrays.asList(getActualArgTypes(argTypes)), Type.INVALID, false, VectorizedUtil.isVectorized()); Function f = Env.getCurrentEnv().getFunction(searchDesc, mode); if (f != null && fnName.getFunction().equalsIgnoreCase("rand")) { @@ -2057,5 +2063,24 @@ public abstract class Expr extends TreeNode implements ParseNode, Cloneabl return this instanceof LiteralExpr; } } + + protected Type[] getActualArgTypes(Type[] originType) { + return Arrays.stream(originType).map( + (Type type) -> { + if (type == null) { + return null; + } + if (type.getPrimitiveType() == PrimitiveType.DECIMAL32) { + return Type.DECIMAL32; + } else if (type.getPrimitiveType() == PrimitiveType.DECIMAL64) { + return Type.DECIMAL64; + } else if (type.getPrimitiveType() == PrimitiveType.DECIMAL128) { + return Type.DECIMAL128; + } else if (type.getPrimitiveType() == PrimitiveType.DATETIMEV2) { + return Type.DATETIMEV2; + } + return type; + }).toArray(Type[]::new); + } } diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/FloatLiteral.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/FloatLiteral.java index 9a382c7cf2..b6b9fb14fe 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/FloatLiteral.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/FloatLiteral.java @@ -18,6 +18,7 @@ package org.apache.doris.analysis; import org.apache.doris.catalog.PrimitiveType; +import org.apache.doris.catalog.ScalarType; import org.apache.doris.catalog.Type; import org.apache.doris.common.AnalysisException; import org.apache.doris.common.Config; @@ -188,9 +189,14 @@ public class FloatLiteral extends LiteralExpr { return floatLiteral; } return this; - } else if (targetType.isDecimalV2() || targetType.isDecimalV3()) { + } else if (targetType.isDecimalV2()) { // the double constructor does an exact translation, use valueOf() instead. return new DecimalLiteral(BigDecimal.valueOf(value)); + } else if (targetType.isDecimalV3()) { + DecimalLiteral res = new DecimalLiteral(new BigDecimal(value)); + res.setType(ScalarType.createDecimalV3Type(res.getType().getPrecision(), + ((ScalarType) res.getType()).decimalScale())); + return res; } return this; } diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/FunctionCallExpr.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/FunctionCallExpr.java index 0f1fafa10d..ed0bea7362 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/FunctionCallExpr.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/FunctionCallExpr.java @@ -59,8 +59,10 @@ import java.io.IOException; import java.text.StringCharacterIterator; import java.util.ArrayList; import java.util.Arrays; +import java.util.HashMap; import java.util.HashSet; import java.util.List; +import java.util.Map; import java.util.Optional; import java.util.Set; @@ -70,19 +72,47 @@ public class FunctionCallExpr extends Expr { new ImmutableSortedSet.Builder(String.CASE_INSENSITIVE_ORDER) .add("stddev").add("stddev_val").add("stddev_samp").add("stddev_pop") .add("variance").add("variance_pop").add("variance_pop").add("var_samp").add("var_pop").build(); - public static final ImmutableSet DECIMAL_SAME_TYPE_SET = - new ImmutableSortedSet.Builder(String.CASE_INSENSITIVE_ORDER) - .add("min").add("max").add("lead").add("lag") - .add("first_value").add("last_value").add("abs") - .add("positive").add("negative").build(); - public static final ImmutableSet DECIMAL_WIDER_TYPE_SET = - new ImmutableSortedSet.Builder(String.CASE_INSENSITIVE_ORDER) - .add("sum").add("avg").add("multi_distinct_sum").build(); - public static final ImmutableSet DECIMAL_FUNCTION_SET = - new ImmutableSortedSet.Builder<>(String.CASE_INSENSITIVE_ORDER) - .addAll(DECIMAL_SAME_TYPE_SET) - .addAll(DECIMAL_WIDER_TYPE_SET) - .addAll(STDDEV_FUNCTION_SET).build(); + public static final Map> DECIMAL_INFER_RULE; + public static final java.util.function.Function DEFAULT_DECIMAL_INFER_RULE; + + static { + java.util.function.Function sumRule = (com.google.common.base.Function) type -> { + Preconditions.checkArgument(type != null && type.length > 0); + if (type[0].isDecimalV3()) { + return ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL128_PRECISION, + ((ScalarType) type[0]).getScalarScale()); + } else { + return type[0]; + } + }; + DEFAULT_DECIMAL_INFER_RULE = (com.google.common.base.Function) type -> { + Preconditions.checkArgument(type != null && type.length > 0); + return type[0]; + }; + DECIMAL_INFER_RULE = new HashMap<>(); + DECIMAL_INFER_RULE.put("sum", sumRule); + DECIMAL_INFER_RULE.put("multi_distinct_sum", sumRule); + DECIMAL_INFER_RULE.put("avg", (com.google.common.base.Function) type -> { + // TODO: how to set scale? + Preconditions.checkArgument(type != null && type.length > 0); + if (type[0].isDecimalV3()) { + return ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL128_PRECISION, + ((ScalarType) type[0]).getScalarScale()); + } else { + return type[0]; + } + }); + DECIMAL_INFER_RULE.put("if", (com.google.common.base.Function) type -> { + Preconditions.checkArgument(type != null && type.length == 3); + if (type[1].isDecimalV3() && type[2].isDecimalV3()) { + return ScalarType.createDecimalV3Type( + Math.max(((ScalarType) type[1]).decimalPrecision(), ((ScalarType) type[2]).decimalPrecision()), + Math.max(((ScalarType) type[1]).decimalScale(), ((ScalarType) type[2]).decimalScale())); + } else { + return type[0]; + } + }); + } public static final ImmutableSet TIME_FUNCTIONS_WITH_PRECISION = new ImmutableSortedSet.Builder(String.CASE_INSENSITIVE_ORDER) @@ -1239,13 +1269,15 @@ public class FunctionCallExpr extends Expr { if (!argTypes[i].matchesType(args[ix]) && Config.enable_date_conversion && !argTypes[i].isDateType() && (args[ix].isDate() || args[ix].isDatetime())) { uncheckedCastChild(ScalarType.getDefaultDateType(args[ix]), i); - } else if (!argTypes[i].matchesType(args[ix]) && Config.enable_decimalv3 + } else if (!argTypes[i].matchesType(args[ix]) && Config.enable_decimal_conversion && argTypes[i].isDecimalV3() && args[ix].isDecimalV2()) { uncheckedCastChild(ScalarType.createDecimalV3Type(argTypes[i].getPrecision(), ((ScalarType) argTypes[i]).getScalarScale()), i); } else if (!argTypes[i].matchesType(args[ix]) && !( - argTypes[i].isDateType() && args[ix].isDateType())) { + argTypes[i].isDateType() && args[ix].isDateType()) + && (!fn.getReturnType().isDecimalV3() + || (argTypes[i].isValid() && !argTypes[i].isDecimalV3() && args[ix].isDecimalV3()))) { uncheckedCastChild(args[ix], i); } } @@ -1308,7 +1340,7 @@ public class FunctionCallExpr extends Expr { } } - if (this.type.isDecimalV2() && Config.enable_decimal_conversion && Config.enable_decimalv3 + if (this.type.isDecimalV2() && Config.enable_decimal_conversion && fn.getArgs().length == childTypes.length) { boolean implicitCastToDecimalV3 = false; for (int i = 0; i < fn.getArgs().length; i++) { @@ -1330,23 +1362,9 @@ public class FunctionCallExpr extends Expr { } if (this.type.isDecimalV3()) { - // DECIMAL need to pass precision and scale to be - if (DECIMAL_FUNCTION_SET.contains(fn.getFunctionName().getFunction()) - && (this.type.isDecimalV2() || this.type.isDecimalV3())) { - if (DECIMAL_SAME_TYPE_SET.contains(fnName.getFunction())) { - this.type = argTypes[0]; - fn.setReturnType(this.type); - } else if (DECIMAL_WIDER_TYPE_SET.contains(fnName.getFunction())) { - this.type = ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL128_PRECISION, - ((ScalarType) argTypes[0]).getScalarScale()); - fn.setReturnType(this.type); - } else if (STDDEV_FUNCTION_SET.contains(fnName.getFunction())) { - // for all stddev function, use decimal(38,9) as computing result - this.type = ScalarType.createDecimalV3Type(ScalarType.MAX_DECIMAL128_PRECISION, - STDDEV_DECIMAL_SCALE); - fn.setReturnType(this.type); - } - } + // TODO(gabriel): If type exceeds max precision of DECIMALV3, we should change it to a double function + this.type = DECIMAL_INFER_RULE.getOrDefault(fnName.getFunction(), DEFAULT_DECIMAL_INFER_RULE) + .apply(collectChildReturnTypes()); } // rewrite return type if is nested type function analyzeNestedFunction(); diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/IntLiteral.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/IntLiteral.java index 248a08e5e7..ed90678bcc 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/IntLiteral.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/IntLiteral.java @@ -310,8 +310,12 @@ public class IntLiteral extends LiteralExpr { } } else if (targetType.isFloatingPointType()) { return new FloatLiteral(new Double(value), targetType); - } else if (targetType.isDecimalV2() || targetType.isDecimalV3()) { + } else if (targetType.isDecimalV2()) { return new DecimalLiteral(new BigDecimal(value)); + } else if (targetType.isDecimalV3()) { + DecimalLiteral res = new DecimalLiteral(new BigDecimal(value)); + res.setType(targetType); + return res; } return this; } diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/LargeIntLiteral.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/LargeIntLiteral.java index 7fb5518a40..654ef89d9b 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/LargeIntLiteral.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/LargeIntLiteral.java @@ -220,8 +220,12 @@ public class LargeIntLiteral extends LiteralExpr { protected Expr uncheckedCastTo(Type targetType) throws AnalysisException { if (targetType.isFloatingPointType()) { return new FloatLiteral(new Double(value.doubleValue()), targetType); - } else if (targetType.isDecimalV2() || targetType.isDecimalV3()) { + } else if (targetType.isDecimalV2()) { return new DecimalLiteral(new BigDecimal(value)); + } else if (targetType.isDecimalV3()) { + DecimalLiteral res = new DecimalLiteral(new BigDecimal(value)); + res.setType(targetType); + return res; } else if (targetType.isIntegerType()) { try { return new IntLiteral(value.longValueExact(), targetType); diff --git a/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java b/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java index 8a1e154f18..532635cf36 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java +++ b/fe/fe-core/src/main/java/org/apache/doris/catalog/FunctionSet.java @@ -1270,18 +1270,22 @@ public class FunctionSet { return false; } + final ScalarType descArgType = (ScalarType) descArgTypes[0]; + final ScalarType candicateArgType = (ScalarType) candicateArgTypes[0]; if (functionName.equalsIgnoreCase("hex") || functionName.equalsIgnoreCase("greast") || functionName.equalsIgnoreCase("least") || functionName.equalsIgnoreCase("lead") || functionName.equalsIgnoreCase("lag")) { - final ScalarType descArgType = (ScalarType) descArgTypes[0]; - final ScalarType candicateArgType = (ScalarType) candicateArgTypes[0]; if (!descArgType.isStringType() && candicateArgType.isStringType()) { // The implementations of hex for string and int are different. return false; } } + if ((descArgType.isDecimalV3() && candicateArgType.isDecimalV2()) + || (descArgType.isDecimalV2() && candicateArgType.isDecimalV3())) { + return false; + } return true; } @@ -2314,14 +2318,14 @@ public class FunctionSet { prefix + "10sum_removeIN9doris_udf12DecimalV2ValES3_EEvPNS2_15FunctionContextERKT_PT0_", null, false, true, false, true)); addBuiltin(AggregateFunction.createBuiltin(name, - Lists.newArrayList(Type.DECIMAL32), Type.DECIMAL32, Type.DECIMAL32, initNull, + Lists.newArrayList(Type.DECIMAL32), ScalarType.DECIMAL128, Type.DECIMAL128, initNull, prefix + "3sumIN9doris_udf12DecimalV2ValES3_EEvPNS2_15FunctionContextERKT_PT0_", prefix + "3sumIN9doris_udf12DecimalV2ValES3_EEvPNS2_15FunctionContextERKT_PT0_", null, null, prefix + "10sum_removeIN9doris_udf12DecimalV2ValES3_EEvPNS2_15FunctionContextERKT_PT0_", null, false, true, false, true)); addBuiltin(AggregateFunction.createBuiltin(name, - Lists.newArrayList(Type.DECIMAL64), Type.DECIMAL64, Type.DECIMAL64, initNull, + Lists.newArrayList(Type.DECIMAL64), Type.DECIMAL128, Type.DECIMAL128, initNull, prefix + "3sumIN9doris_udf12DecimalV2ValES3_EEvPNS2_15FunctionContextERKT_PT0_", prefix + "3sumIN9doris_udf12DecimalV2ValES3_EEvPNS2_15FunctionContextERKT_PT0_", null, null, @@ -2681,11 +2685,11 @@ public class FunctionSet { "", "", "", "", "", "", "", false, true, false, true)); addBuiltin(AggregateFunction.createBuiltin("avg", - Lists.newArrayList(Type.DECIMAL32), Type.DECIMAL32, Type.DECIMAL32, + Lists.newArrayList(Type.DECIMAL32), Type.DECIMAL128, Type.DECIMAL128, "", "", "", "", "", "", "", false, true, false, true)); addBuiltin(AggregateFunction.createBuiltin("avg", - Lists.newArrayList(Type.DECIMAL64), Type.DECIMAL64, Type.DECIMAL64, + Lists.newArrayList(Type.DECIMAL64), Type.DECIMAL128, Type.DECIMAL128, "", "", "", "", "", "", "", false, true, false, true)); addBuiltin(AggregateFunction.createBuiltin("avg", diff --git a/fe/fe-core/src/main/java/org/apache/doris/catalog/ScalarType.java b/fe/fe-core/src/main/java/org/apache/doris/catalog/ScalarType.java index 38915c28b7..08c5659bad 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/catalog/ScalarType.java +++ b/fe/fe-core/src/main/java/org/apache/doris/catalog/ScalarType.java @@ -279,7 +279,7 @@ public class ScalarType extends Type { } public static ScalarType createDecimalType() { - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { return DEFAULT_DECIMALV3; } else { return DEFAULT_DECIMALV2; @@ -350,7 +350,7 @@ public class ScalarType extends Type { } public static PrimitiveType getSuitableDecimalType(int precision, boolean decimalV2) { - if ((decimalV2 && !Config.enable_decimal_conversion) || !Config.enable_decimalv3) { + if (decimalV2 && !Config.enable_decimal_conversion) { return PrimitiveType.DECIMALV2; } if (precision <= MAX_DECIMAL32_PRECISION) { @@ -651,6 +651,7 @@ public class ScalarType extends Type { case DECIMAL64: case DECIMAL128: case DATETIMEV2: { + Preconditions.checkArgument(precision >= scale); scalarType.setScale(scale); scalarType.setPrecision(precision); break; @@ -1014,6 +1015,16 @@ public class ScalarType extends Type { return MAX_DECIMALV2_TYPE; } + if ((t1.isDecimalV3() && t2.isFixedPointType()) || (t2.isDecimalV3() && t1.isFixedPointType())) { + return t1.isDecimalV3() ? t1 : t2; + } + + if (t1.isDecimalV3() && t2.isDecimalV3()) { + return ScalarType.createDecimalV3Type(Math.max(t1.decimalPrecision() - t1.decimalScale(), + t2.decimalPrecision() - t2.decimalScale()) + Math.max(t1.decimalScale(), + t2.decimalScale()), Math.max(t1.decimalScale(), t2.decimalScale())); + } + PrimitiveType smallerType = (t1.type.ordinal() < t2.type.ordinal() ? t1.type : t2.type); PrimitiveType largerType = diff --git a/fe/fe-core/src/main/java/org/apache/doris/catalog/Type.java b/fe/fe-core/src/main/java/org/apache/doris/catalog/Type.java index 8aec90c452..949c4a3e79 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/catalog/Type.java +++ b/fe/fe-core/src/main/java/org/apache/doris/catalog/Type.java @@ -142,6 +142,9 @@ public abstract class Type { trivialTypes.add(TIME); trivialTypes.add(TIMEV2); trivialTypes.add(JSONB); + trivialTypes.add(DECIMAL32); + trivialTypes.add(DECIMAL64); + trivialTypes.add(DECIMAL128); supportedTypes = Lists.newArrayList(); supportedTypes.addAll(trivialTypes); diff --git a/fe/fe-core/src/main/java/org/apache/doris/common/Config.java b/fe/fe-core/src/main/java/org/apache/doris/common/Config.java index c741194544..f170da6643 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/common/Config.java +++ b/fe/fe-core/src/main/java/org/apache/doris/common/Config.java @@ -1699,13 +1699,6 @@ public class Config extends ConfigBase { @ConfField(mutable = true, masterOnly = false) public static long file_scan_node_split_num = 128; - /* - * If set to TRUE, the precision of decimal will be broaden to [1, 38]. - * Decimalv3 of storage layer needs to be enabled first. - */ - @ConfField - public static boolean enable_decimalv3 = false; - /** * If set to TRUE, FE will: * 1. divide BE into high load and low load(no mid load) to force triggering tablet scheduling; diff --git a/fe/fe-core/src/main/java/org/apache/doris/external/hive/util/HiveUtil.java b/fe/fe-core/src/main/java/org/apache/doris/external/hive/util/HiveUtil.java index cd7c0f2f49..528d6aaee4 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/external/hive/util/HiveUtil.java +++ b/fe/fe-core/src/main/java/org/apache/doris/external/hive/util/HiveUtil.java @@ -22,7 +22,6 @@ import org.apache.doris.catalog.Column; import org.apache.doris.catalog.ScalarType; import org.apache.doris.catalog.Type; import org.apache.doris.common.AnalysisException; -import org.apache.doris.common.Config; import org.apache.doris.common.UserException; import com.google.common.collect.Lists; @@ -158,7 +157,7 @@ public final class HiveUtil { case TIMESTAMP: return ScalarType.getDefaultDateType(Type.DATETIME); case DECIMAL: - return Config.enable_decimalv3 ? Type.DECIMAL128 : Type.DECIMALV2; + return Type.DECIMALV2; default: throw new UnsupportedOperationException("Unsupported type: " + primitiveTypeInfo.getPrimitiveCategory()); diff --git a/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/expressions/functions/BoundFunction.java b/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/expressions/functions/BoundFunction.java index 23352c2655..32ad5472c7 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/expressions/functions/BoundFunction.java +++ b/fe/fe-core/src/main/java/org/apache/doris/nereids/trees/expressions/functions/BoundFunction.java @@ -199,7 +199,7 @@ public abstract class BoundFunction extends Expression implements FunctionTrait, FunctionSignature signature, List arguments) { DataType returnType = signature.returnType; Type type = returnType.toCatalogDataType(); - if (type.isDecimalV2() && Config.enable_decimal_conversion && Config.enable_decimalv3) { + if (type.isDecimalV2() && Config.enable_decimal_conversion) { Type v3Type = ScalarType.createDecimalV3Type(type.getPrecision(), ((ScalarType) type).getScalarScale()); signature = signature.withReturnType(DataType.fromCatalogType(v3Type)); } diff --git a/fe/fe-core/src/main/java/org/apache/doris/rewrite/RewriteInPredicateRule.java b/fe/fe-core/src/main/java/org/apache/doris/rewrite/RewriteInPredicateRule.java index c61a3b311a..ea7996c3fc 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/rewrite/RewriteInPredicateRule.java +++ b/fe/fe-core/src/main/java/org/apache/doris/rewrite/RewriteInPredicateRule.java @@ -26,7 +26,6 @@ import org.apache.doris.analysis.SlotRef; import org.apache.doris.analysis.Subquery; import org.apache.doris.catalog.Type; import org.apache.doris.common.AnalysisException; -import org.apache.doris.common.Config; import org.apache.doris.rewrite.ExprRewriter.ClauseType; import com.google.common.collect.Lists; @@ -87,8 +86,7 @@ public class RewriteInPredicateRule implements ExprRewriteRule { // cannot be directly converted to LargeIntLiteral, so it is converted to decimal first. if (childExpr.getType().getPrimitiveType().isCharFamily() || childExpr.getType().isFloatingPointType()) { try { - childExpr = (LiteralExpr) childExpr.castTo(Config.enable_decimalv3 - ? Type.DECIMAL32 : Type.DECIMALV2); + childExpr = (LiteralExpr) childExpr.castTo(Type.DECIMALV2); } catch (AnalysisException e) { continue; } diff --git a/fe/fe-core/src/test/java/org/apache/doris/analysis/CreateTableAsSelectStmtTest.java b/fe/fe-core/src/test/java/org/apache/doris/analysis/CreateTableAsSelectStmtTest.java index 54de9a7129..06892a1042 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/analysis/CreateTableAsSelectStmtTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/analysis/CreateTableAsSelectStmtTest.java @@ -93,7 +93,7 @@ public class CreateTableAsSelectStmtTest extends TestWithFeService { "create table `test`.`select_decimal_table_1` PROPERTIES(\"replication_num\" = \"1\") " + "as select sum(amount_decimal) from `test`.`decimal_table`"; createTableAsSelect(selectFromDecimal1); - if (Config.enable_decimal_conversion && Config.enable_decimalv3) { + if (Config.enable_decimal_conversion) { Assertions.assertEquals( "CREATE TABLE `select_decimal_table_1` (\n" + " `_col0` decimal(38, 2) NULL\n" + ") ENGINE=OLAP\n" + "DUPLICATE KEY(`_col0`)\n" + "COMMENT 'OLAP'\n" diff --git a/fe/fe-core/src/test/java/org/apache/doris/analysis/DecimalLiteralTest.java b/fe/fe-core/src/test/java/org/apache/doris/analysis/DecimalLiteralTest.java index a643588a6f..11cccf25bf 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/analysis/DecimalLiteralTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/analysis/DecimalLiteralTest.java @@ -46,7 +46,7 @@ public class DecimalLiteralTest { // if DecimalLiteral need to cast to Decimal and Decimalv2, need to cast // to themselves - if (!(Config.enable_decimalv3 && Config.enable_decimal_conversion)) { + if (!Config.enable_decimal_conversion) { Assert.assertEquals(literal, literal.uncheckedCastTo(Type.DECIMALV2)); } diff --git a/fe/fe-core/src/test/java/org/apache/doris/analysis/QueryStmtTest.java b/fe/fe-core/src/test/java/org/apache/doris/analysis/QueryStmtTest.java index 8132926ad0..e0b8a2f9b0 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/analysis/QueryStmtTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/analysis/QueryStmtTest.java @@ -190,7 +190,7 @@ public class QueryStmtTest { Assert.assertEquals(2, exprsMap.size()); constMap.clear(); constMap = getConstantExprMap(exprsMap, analyzer); - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertEquals(6, constMap.size()); } else { Assert.assertEquals(0, constMap.size()); diff --git a/fe/fe-core/src/test/java/org/apache/doris/catalog/ColumnTypeTest.java b/fe/fe-core/src/test/java/org/apache/doris/catalog/ColumnTypeTest.java index cab0c0c150..7d88a696f9 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/catalog/ColumnTypeTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/catalog/ColumnTypeTest.java @@ -98,7 +98,7 @@ public class ColumnTypeTest { TypeDef type = TypeDef.createDecimal(12, 5); type.analyze(null); Assert.assertEquals("decimal(12, 5)", type.toString()); - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertEquals(PrimitiveType.DECIMAL64, type.getType().getPrimitiveType()); } else { Assert.assertEquals(PrimitiveType.DECIMALV2, type.getType().getPrimitiveType()); @@ -194,7 +194,7 @@ public class ColumnTypeTest { @Test(expected = AnalysisException.class) public void testDecimalPreFail() throws AnalysisException { TypeDef type; - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { type = TypeDef.createDecimal(39, 3); } else { type = TypeDef.createDecimal(28, 3); @@ -205,7 +205,7 @@ public class ColumnTypeTest { @Test(expected = AnalysisException.class) public void testDecimalScaleFail() throws AnalysisException { TypeDef type; - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { type = TypeDef.createDecimal(27, 28); } else { type = TypeDef.createDecimal(27, 10); diff --git a/fe/fe-core/src/test/java/org/apache/doris/catalog/CreateFunctionTest.java b/fe/fe-core/src/test/java/org/apache/doris/catalog/CreateFunctionTest.java index 37289acfc1..53d286d04d 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/catalog/CreateFunctionTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/catalog/CreateFunctionTest.java @@ -171,7 +171,7 @@ public class CreateFunctionTest { Assert.assertTrue(constExprLists.get(0).get(0) instanceof StringLiteral); queryStr = "select db1.decimal(k3, 4, 1) from db1.tbl1;"; - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertTrue(dorisAssert.query(queryStr).explainQuery().contains("CAST(`k3` AS DECIMALV3(4,1))")); } else { Assert.assertTrue(dorisAssert.query(queryStr).explainQuery().contains("CAST(`k3` AS DECIMAL(4,1))")); diff --git a/fe/fe-core/src/test/java/org/apache/doris/nereids/rules/analysis/GenerateScalarFunction.java b/fe/fe-core/src/test/java/org/apache/doris/nereids/rules/analysis/GenerateScalarFunction.java index 1be87511e5..9924a33ca1 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/nereids/rules/analysis/GenerateScalarFunction.java +++ b/fe/fe-core/src/test/java/org/apache/doris/nereids/rules/analysis/GenerateScalarFunction.java @@ -63,6 +63,7 @@ import com.google.common.collect.ArrayListMultimap; import com.google.common.collect.ImmutableList; import com.google.common.collect.ImmutableMap; import com.google.common.collect.ImmutableSet; +import com.google.common.collect.ImmutableSortedSet; import com.google.common.collect.Lists; import com.google.common.collect.Maps; import com.google.common.collect.Multimap; @@ -216,6 +217,15 @@ public class GenerateScalarFunction { static final Set customCastFunctions = ImmutableSet.of("%element_extract%", "concat_ws", "str_to_date"); + private static final ImmutableSet DECIMAL_SAME_TYPE_SET = + new ImmutableSortedSet.Builder(String.CASE_INSENSITIVE_ORDER) + .add("min").add("max").add("lead").add("lag") + .add("first_value").add("last_value").add("abs") + .add("positive").add("negative").build(); + private static final ImmutableSet DECIMAL_WIDER_TYPE_SET = + new ImmutableSortedSet.Builder(String.CASE_INSENSITIVE_ORDER) + .add("sum").add("avg").add("multi_distinct_sum").build(); + static boolean isIdenticalSignature(String functionName) { return functionName.startsWith("castto") || identicalSignatureFunctions.contains(functionName); } @@ -670,9 +680,9 @@ public class GenerateScalarFunction { } } - if (FunctionCallExpr.DECIMAL_SAME_TYPE_SET.contains(functionName)) { + if (DECIMAL_SAME_TYPE_SET.contains(functionName)) { interfaces.add(DecimalSamePrecision.class); - } else if (FunctionCallExpr.DECIMAL_WIDER_TYPE_SET.contains(functionName)) { + } else if (DECIMAL_WIDER_TYPE_SET.contains(functionName)) { interfaces.add(DecimalWiderPrecision.class); } else if (FunctionCallExpr.STDDEV_FUNCTION_SET.contains(functionName)) { interfaces.add(DecimalStddevPrecision.class); diff --git a/fe/fe-core/src/test/java/org/apache/doris/planner/ConstantExpressTest.java b/fe/fe-core/src/test/java/org/apache/doris/planner/ConstantExpressTest.java index e98d69647f..6e4b66bda8 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/planner/ConstantExpressTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/planner/ConstantExpressTest.java @@ -159,7 +159,7 @@ public class ConstantExpressTest { testConstantExpressResult( "select 1 * 10.0;", - "10.0"); + "10"); testConstantExpressResult( "select 1 / 10.0;", diff --git a/fe/fe-core/src/test/java/org/apache/doris/rewrite/RewriteDateLiteralRuleTest.java b/fe/fe-core/src/test/java/org/apache/doris/rewrite/RewriteDateLiteralRuleTest.java index 8a5b56866b..c3c252561f 100644 --- a/fe/fe-core/src/test/java/org/apache/doris/rewrite/RewriteDateLiteralRuleTest.java +++ b/fe/fe-core/src/test/java/org/apache/doris/rewrite/RewriteDateLiteralRuleTest.java @@ -177,7 +177,7 @@ public class RewriteDateLiteralRuleTest { public void testWithDoubleFormatDate() throws Exception { String query = "select * from " + DB_NAME + ".tb1 where k1 > 20210301.22"; String planString = dorisAssert.query(query).explainQuery(); - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertTrue(planString.contains("`k1` > 20210301")); } else { Assert.assertTrue(planString.contains("`k1` > 2.021030122E7")); @@ -185,7 +185,7 @@ public class RewriteDateLiteralRuleTest { query = "select k1 > 20210331.22 from " + DB_NAME + ".tb1"; planString = dorisAssert.query(query).explainQuery(); - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertTrue(planString.contains("`k1` > 20210331")); } else { Assert.assertTrue(planString.contains("`k1` > 2.021033122E7")); @@ -195,7 +195,7 @@ public class RewriteDateLiteralRuleTest { public void testWithDoubleFormatDateV2() throws Exception { String query = "select * from " + DB_NAME + ".tb2 where k1 > 20210301.22"; String planString = dorisAssert.query(query).explainQuery(); - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertTrue(planString.contains("`k1` > 20210301")); } else { Assert.assertTrue(planString.contains("`k1` > 2.021030122E7")); @@ -203,7 +203,7 @@ public class RewriteDateLiteralRuleTest { query = "select k1 > 20210331.22 from " + DB_NAME + ".tb2"; planString = dorisAssert.query(query).explainQuery(); - if (Config.enable_decimalv3 && Config.enable_decimal_conversion) { + if (Config.enable_decimal_conversion) { Assert.assertTrue(planString.contains("`k1` > 20210331")); } else { Assert.assertTrue(planString.contains("`k1` > 2.021033122E7")); diff --git a/gensrc/script/doris_builtins_functions.py b/gensrc/script/doris_builtins_functions.py index e347323496..e369f79ffb 100755 --- a/gensrc/script/doris_builtins_functions.py +++ b/gensrc/script/doris_builtins_functions.py @@ -1802,6 +1802,12 @@ visible_functions = [ '_ZN5doris13MathFunctions3absEPN9doris_udf15FunctionContextERKNS1_10TinyIntValE', '', '', 'vec', ''], [['abs'], 'DECIMALV2', ['DECIMALV2'], '_ZN5doris13MathFunctions3absEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['abs'], 'DECIMAL32', ['DECIMAL32'], + '_ZN5doris13MathFunctions3absEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['abs'], 'DECIMAL64', ['DECIMAL64'], + '_ZN5doris13MathFunctions3absEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['abs'], 'DECIMAL128', ['DECIMAL128'], + '_ZN5doris13MathFunctions3absEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], [['sign'], 'TINYINT', ['DOUBLE'], '_ZN5doris13MathFunctions4signEPN9doris_udf15FunctionContextERKNS1_9DoubleValE', '', '', 'vec', ''], @@ -1915,6 +1921,15 @@ visible_functions = [ [['mod'], 'DECIMALV2', ['DECIMALV2', 'DECIMALV2'], '_ZN5doris18DecimalV2Operators31mod_decimalv2_val_decimalv2_valEPN9doris_udf' '15FunctionContextERKNS1_12DecimalV2ValES6_', '', '', 'vec', 'ALWAYS_NULLABLE'], + [['mod'], 'DECIMAL32', ['DECIMAL32', 'DECIMAL32'], + '_ZN5doris18DecimalV2Operators31mod_decimalv2_val_decimalv2_valEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValES6_', '', '', 'vec', 'ALWAYS_NULLABLE'], + [['mod'], 'DECIMAL64', ['DECIMAL64', 'DECIMAL64'], + '_ZN5doris18DecimalV2Operators31mod_decimalv2_val_decimalv2_valEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValES6_', '', '', 'vec', 'ALWAYS_NULLABLE'], + [['mod'], 'DECIMAL128', ['DECIMAL128', 'DECIMAL128'], + '_ZN5doris18DecimalV2Operators31mod_decimalv2_val_decimalv2_valEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValES6_', '', '', 'vec', 'ALWAYS_NULLABLE'], [['mod', 'fmod'], 'FLOAT', ['FLOAT', 'FLOAT'], '_ZN5doris13MathFunctions10fmod_floatEPN9doris_udf15FunctionContextERKNS1_8FloatValES6_', '', '', 'vec', 'ALWAYS_NULLABLE'], @@ -1931,6 +1946,15 @@ visible_functions = [ [['positive'], 'DECIMALV2', ['DECIMALV2'], '_ZN5doris13MathFunctions16positive_decimalEPN9doris_udf' '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['positive'], 'DECIMAL32', ['DECIMAL32'], + '_ZN5doris13MathFunctions16positive_decimalEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['positive'], 'DECIMAL64', ['DECIMAL64'], + '_ZN5doris13MathFunctions16positive_decimalEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['positive'], 'DECIMAL128', ['DECIMAL128'], + '_ZN5doris13MathFunctions16positive_decimalEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], [['negative'], 'BIGINT', ['BIGINT'], '_ZN5doris13MathFunctions15negative_bigintEPN9doris_udf' '15FunctionContextERKNS1_9BigIntValE', '', '', 'vec', ''], @@ -1940,6 +1964,15 @@ visible_functions = [ [['negative'], 'DECIMALV2', ['DECIMALV2'], '_ZN5doris13MathFunctions16negative_decimalEPN9doris_udf' '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['negative'], 'DECIMAL32', ['DECIMAL32'], + '_ZN5doris13MathFunctions16negative_decimalEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['negative'], 'DECIMAL64', ['DECIMAL64'], + '_ZN5doris13MathFunctions16negative_decimalEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['negative'], 'DECIMAL128', ['DECIMAL128'], + '_ZN5doris13MathFunctions16negative_decimalEPN9doris_udf' + '15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], [['least'], 'TINYINT', ['TINYINT', '...'], '_ZN5doris13MathFunctions5leastEPN9doris_udf15FunctionContextEiPKNS1_10TinyIntValE', @@ -1968,6 +2001,15 @@ visible_functions = [ [['least'], 'DECIMALV2', ['DECIMALV2', '...'], '_ZN5doris13MathFunctions5leastEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['least'], 'DECIMAL32', ['DECIMAL32', '...'], + '_ZN5doris13MathFunctions5leastEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['least'], 'DECIMAL64', ['DECIMAL64', '...'], + '_ZN5doris13MathFunctions5leastEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['least'], 'DECIMAL128', ['DECIMAL128', '...'], + '_ZN5doris13MathFunctions5leastEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', + '', '', 'vec', ''], [['least'], 'VARCHAR', ['VARCHAR', '...'], '_ZN5doris13MathFunctions5leastEPN9doris_udf15FunctionContextEiPKNS1_9StringValE', '', '', 'vec', ''], @@ -1999,6 +2041,15 @@ visible_functions = [ [['greatest'], 'DECIMALV2', ['DECIMALV2', '...'], '_ZN5doris13MathFunctions8greatestEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['greatest'], 'DECIMAL32', ['DECIMAL32', '...'], + '_ZN5doris13MathFunctions8greatestEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['greatest'], 'DECIMAL64', ['DECIMAL64', '...'], + '_ZN5doris13MathFunctions8greatestEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['greatest'], 'DECIMAL128', ['DECIMAL128', '...'], + '_ZN5doris13MathFunctions8greatestEPN9doris_udf15FunctionContextEiPKNS1_12DecimalV2ValE', + '', '', 'vec', ''], [['greatest'], 'DATETIME', ['DATETIME', '...'], '_ZN5doris13MathFunctions8greatestEPN9doris_udf15FunctionContextEiPKNS1_11DateTimeValE', '', '', 'vec', ''], @@ -2028,6 +2079,9 @@ visible_functions = [ [['if'], 'DATETIMEV2', ['BOOLEAN', 'DATETIMEV2', 'DATETIMEV2'], '', '', '', 'vec', 'CUSTOM'], [['if'], 'DATEV2', ['BOOLEAN', 'DATEV2', 'DATEV2'], '', '', '', 'vec', 'CUSTOM'], [['if'], 'DECIMALV2', ['BOOLEAN', 'DECIMALV2', 'DECIMALV2'], '', '', '', 'vec', 'CUSTOM'], + [['if'], 'DECIMAL32', ['BOOLEAN', 'DECIMAL32', 'DECIMAL32'], '', '', '', 'vec', 'CUSTOM'], + [['if'], 'DECIMAL64', ['BOOLEAN', 'DECIMAL64', 'DECIMAL64'], '', '', '', 'vec', 'CUSTOM'], + [['if'], 'DECIMAL128', ['BOOLEAN', 'DECIMAL128', 'DECIMAL128'], '', '', '', 'vec', 'CUSTOM'], [['if'], 'BITMAP', ['BOOLEAN', 'BITMAP', 'BITMAP'], '', '', '', 'vec', 'CUSTOM'], [['if'], 'HLL', ['BOOLEAN', 'HLL', 'HLL'], '', '', '', 'vec', 'CUSTOM'], # The priority of varchar should be lower than decimal in IS_SUPERTYPE_OF mode. @@ -2062,6 +2116,9 @@ visible_functions = [ [['nullif'], 'DATETIMEV2', ['DATETIMEV2', 'DATETIMEV2'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], [['nullif'], 'DATEV2', ['DATEV2', 'DATEV2'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], [['nullif'], 'DECIMALV2', ['DECIMALV2', 'DECIMALV2'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], + [['nullif'], 'DECIMAL32', ['DECIMAL32', 'DECIMAL32'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], + [['nullif'], 'DECIMAL64', ['DECIMAL64', 'DECIMAL64'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], + [['nullif'], 'DECIMAL128', ['DECIMAL128', 'DECIMAL128'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], # The priority of varchar should be lower than decimal in IS_SUPERTYPE_OF mode. [['nullif'], 'VARCHAR', ['VARCHAR', 'VARCHAR'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], [['nullif'], 'STRING', ['STRING', 'STRING'], '', '', '', 'vec', 'ALWAYS_NULLABLE'], @@ -2083,6 +2140,9 @@ visible_functions = [ [['ifnull', 'nvl'], 'DATETIMEV2', ['DATEV2', 'DATETIMEV2'], '', '', '', 'vec', 'CUSTOM'], [['ifnull', 'nvl'], 'DATETIMEV2', ['DATETIMEV2', 'DATEV2'], '', '', '', 'vec', 'CUSTOM'], [['ifnull', 'nvl'], 'DECIMALV2', ['DECIMALV2', 'DECIMALV2'], '', '', '', 'vec', 'CUSTOM'], + [['ifnull', 'nvl'], 'DECIMAL32', ['DECIMAL32', 'DECIMAL32'], '', '', '', 'vec', 'CUSTOM'], + [['ifnull', 'nvl'], 'DECIMAL64', ['DECIMAL64', 'DECIMAL64'], '', '', '', 'vec', 'CUSTOM'], + [['ifnull', 'nvl'], 'DECIMAL128', ['DECIMAL128', 'DECIMAL128'], '', '', '', 'vec', 'CUSTOM'], [['ifnull', 'nvl'], 'BITMAP', ['BITMAP', 'BITMAP'], '', '', '', 'vec', 'CUSTOM'], # The priority of varchar should be lower than decimal in IS_SUPERTYPE_OF mode. [['ifnull', 'nvl'], 'VARCHAR', ['VARCHAR', 'VARCHAR'], '', '', '', 'vec', 'CUSTOM'], @@ -2101,6 +2161,9 @@ visible_functions = [ [['coalesce'], 'DATETIMEV2', ['DATETIMEV2', '...'], '', '', '', 'vec', 'CUSTOM'], [['coalesce'], 'DATEV2', ['DATEV2', '...'], '', '', '', 'vec', 'CUSTOM'], [['coalesce'], 'DECIMALV2', ['DECIMALV2', '...'], '', '', '', 'vec', 'CUSTOM'], + [['coalesce'], 'DECIMAL32', ['DECIMAL32', '...'], '', '', '', 'vec', 'CUSTOM'], + [['coalesce'], 'DECIMAL64', ['DECIMAL64', '...'], '', '', '', 'vec', 'CUSTOM'], + [['coalesce'], 'DECIMAL128', ['DECIMAL128', '...'], '', '', '', 'vec', 'CUSTOM'], [['coalesce'], 'BITMAP', ['BITMAP', '...'], '', '', '', 'vec', 'CUSTOM'], # The priority of varchar should be lower than decimal in IS_SUPERTYPE_OF mode. [['coalesce'], 'VARCHAR', ['VARCHAR', '...'], '', '', '', 'vec', 'CUSTOM'], @@ -2249,6 +2312,15 @@ visible_functions = [ [['money_format'], 'VARCHAR', ['DECIMALV2'], '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['money_format'], 'VARCHAR', ['DECIMAL32'], + '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['money_format'], 'VARCHAR', ['DECIMAL64'], + '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['money_format'], 'VARCHAR', ['DECIMAL128'], + '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', + '', '', 'vec', ''], [['split_part'], 'VARCHAR', ['VARCHAR', 'VARCHAR', 'INT'], '_ZN5doris15StringFunctions10split_partEPN9doris_udf15FunctionContextERKNS1_9StringValES6_RKNS1_6IntValE', '', '', 'vec', 'ALWAYS_NULLABLE'], @@ -2266,6 +2338,9 @@ visible_functions = [ [['running_difference'], 'DOUBLE', ['FLOAT'], '', '', '', 'vec', ''], [['running_difference'], 'DOUBLE', ['DOUBLE'], '', '', '', 'vec', ''], [['running_difference'], 'DECIMALV2', ['DECIMALV2'], '', '', '', 'vec', ''], + [['running_difference'], 'DECIMAL32', ['DECIMAL32'], '', '', '', 'vec', ''], + [['running_difference'], 'DECIMAL64', ['DECIMAL64'], '', '', '', 'vec', ''], + [['running_difference'], 'DECIMAL128', ['DECIMAL128'], '', '', '', 'vec', ''], [['running_difference'], 'INT', ['DATE'], '', '', '', 'vec', ''], [['running_difference'], 'INT', ['DATEV2'], '', '', '', 'vec', ''], [['running_difference'], 'DOUBLE', ['DATETIME'], '', '', '', 'vec', ''], @@ -2394,6 +2469,15 @@ visible_functions = [ [['money_format'], 'STRING', ['DECIMALV2'], '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', '', '', 'vec', ''], + [['money_format'], 'STRING', ['DECIMAL32'], + '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['money_format'], 'STRING', ['DECIMAL64'], + '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', + '', '', 'vec', ''], + [['money_format'], 'STRING', ['DECIMAL128'], + '_ZN5doris15StringFunctions12money_formatEPN9doris_udf15FunctionContextERKNS1_12DecimalV2ValE', + '', '', 'vec', ''], [['split_part'], 'STRING', ['STRING', 'STRING', 'INT'], '_ZN5doris15StringFunctions10split_partEPN9doris_udf15FunctionContextERKNS1_9StringValES6_RKNS1_6IntValE', '', '', 'vec', 'ALWAYS_NULLABLE'], diff --git a/gensrc/script/gen_builtins_functions.py b/gensrc/script/gen_builtins_functions.py index 4dcda38162..bd9a82e4c0 100755 --- a/gensrc/script/gen_builtins_functions.py +++ b/gensrc/script/gen_builtins_functions.py @@ -115,6 +115,12 @@ def generate_fe_datatype(str_type): return "new ArrayType(" + generate_fe_datatype(vec_type[1]) + ")" if str_type == "DECIMALV2": return "Type.MAX_DECIMALV2_TYPE" + if str_type == "DECIMAL32": + return "Type.DECIMAL32" + if str_type == "DECIMAL64": + return "Type.DECIMAL64" + if str_type == "DECIMAL128": + return "Type.DECIMAL128" return "Type." + str_type """ diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out index 604e1666c4..0e80333a5e 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q02.out @@ -1,2516 +1,2516 @@ -- This file is automatically generated. 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index 3aa433648c..6d04b971d6 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q03.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q03.out @@ -6,15 +6,15 @@ 1998 3004001 edu packexporti #1 32443.16 1998 3001001 amalgexporti #1 30280.72 1998 3001002 amalgexporti #2 27644.68 -1998 1003001 exportiamalg #1 25408.1 +1998 1003001 exportiamalg #1 25408.10 1998 7007010 brandbrand #10 23346.45 1998 8001009 amalgnameless #9 20792.57 -1998 10010002 univamalgamalg #2 20398.9 +1998 10010002 univamalgamalg #2 20398.90 1998 7009008 maxibrand #8 19199.75 1998 6004008 edu packcorp #8 18022.24 1998 1004001 edu packamalg #1 17434.09 1998 10001002 amalgunivamalg #2 15434.73 -1998 5004001 edu packscholar #1 15184.4 +1998 5004001 edu packscholar #1 15184.40 1998 7003009 exportibrand #9 11669.32 1998 1001002 amalgamalg #2 10725.87 1998 5003002 exportischolar #2 10250.29 @@ -24,7 +24,7 @@ 1999 5004001 edu packscholar #1 29587.74 1999 1003001 exportiamalg #1 28354.52 1999 10001002 amalgunivamalg #2 25166.82 -1999 5003001 exportischolar #1 20350.8 +1999 5003001 exportischolar #1 20350.80 1999 1001002 amalgamalg #2 18476.51 1999 5003002 exportischolar #2 17769.35 1999 7009008 maxibrand #8 16413.03 @@ -34,24 +34,24 @@ 1999 5001001 amalgscholar #1 11468.36 1999 7007010 brandbrand #10 10103.81 1999 10010002 univamalgamalg #2 7640.55 -1999 8001009 amalgnameless #9 7324.5 +1999 8001009 amalgnameless #9 7324.50 1999 3001002 amalgexporti #2 2940.88 -2000 1003001 exportiamalg #1 35841 +2000 1003001 exportiamalg #1 35841.00 2000 2001001 amalgimporto #1 32500.27 2000 3001002 amalgexporti #2 32059.56 2000 3004001 edu packexporti #1 29891.01 2000 1001002 amalgamalg #2 19888.62 2000 10001002 amalgunivamalg #2 19325.34 2000 3001001 amalgexporti #1 19261.58 -2000 10008017 namelessunivamalg #17 17207.6 +2000 10008017 namelessunivamalg #17 17207.60 2000 5003002 exportischolar #2 16365.82 -2000 5003001 amalgunivamalg #2 15140.3 +2000 5003001 amalgunivamalg #2 15140.30 2000 1004001 edu packamalg #1 15074.32 2000 7009008 maxibrand #8 15042.42 2000 5004001 edu packscholar #1 14744.21 2000 6004008 edu packcorp #8 13303.65 2000 7007010 brandbrand #10 12915.75 -2000 7003009 exportibrand #9 11347.8 +2000 7003009 exportibrand #9 11347.80 2000 8001009 importoexporti #2 10520.76 2001 1001002 amalgamalg #2 40840.34 2001 1004001 exportiexporti #2 27499.42 @@ -65,7 +65,7 @@ 2001 3001002 amalgexporti #2 18047.23 2001 6005001 edu packimporto #2 16801.34 2001 2001001 exportischolar #2 15894.57 -2001 5003001 amalgunivamalg #2 15883.3 +2001 5003001 amalgunivamalg #2 15883.30 2001 7011010 amalgnameless #10 15174.18 2001 5004001 edu packunivamalg #8 10452.64 2001 8004010 edu packnameless #10 8565.95 @@ -84,7 +84,7 @@ 2002 6005001 edu packimporto #2 14774.23 2002 1004001 exportiexporti #2 13016.75 2002 7011010 amalgnameless #10 12343.97 -2002 10008017 amalgedu pack #1 10334.4 +2002 10008017 amalgedu pack #1 10334.40 2002 10013016 exportiamalgamalg #16 8356.19 2002 5003002 exportischolar #2 5435.81 2002 2001001 exportischolar #2 4162.39 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q05.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q05.out index 75add878e1..71a8412dad 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q05.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q05.out @@ -1,103 +1,103 @@ -- This file is automatically generated. 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Dual, other times s Books business 0.19 3867.73 3.111258837 -AAAAAAAALDFAAAAA Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas Books business 3.68 470.96 0.378847143 -AAAAAAAALGBBAAAA Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from Books business 1.94 229.35 0.18449251 -AAAAAAAALPDCAAAA So small edges will understand currently in a things. New trains point usually systems. Years look growing questions. Different cases could sell just alive, late rules; big, large results will make Books business 4.12 6151.95 4.948718966 -AAAAAAAAMIGCAAAA Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m Books business 6.63 25528.76 20.535709617 -AAAAAAAAMIMCAAAA About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. As social relations could choose quite also Books business 0.77 417.22 0.335617898 -AAAAAAAAMKHAAAAA Unions shall see enough over true attitudes; of course full variable Books business 8.9 633.16 0.509323207 -AAAAAAAAMKNDAAAA Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N Books business 1.28 11196.3 9.006468218 -AAAAAAAANACBAAAA New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r Books business 2.95 1151.28 0.926106547 -AAAAAAAAAHKDAAAA Decisions play actually exclusive activities. Well assistant e Books computers 8.77 822.69 0.984914829 -AAAAAAAABHEEAAAA Subjects may remain officials. Forward, straight objects used to see wh Books computers 6.97 5663.04 6.779725138 -AAAAAAAAEAPAAAAA Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth Books computers 4.01 9320.46 11.15834551 -AAAAAAAAEDMAAAAA Books understand. Principles produce just at a premises. Years Books computers 44.48 787.29 0.942534364 -AAAAAAAAEMHAAAAA Boots recommend usually just local centres; c Books computers 7.56 765.23 0.91612439 -AAAAAAAAFEEAAAAA Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus Books computers 3.83 78.76 0.094290549 -AAAAAAAAGENAAAAA Genera Books computers 2.84 4719.74 5.65041743 -AAAAAAAAGHCBAAAA Hundreds would meet regardless german, foreign scien Books computers 9.77 2451.75 2.935206374 -AAAAAAAAGMBDAAAA Vulnerable b Books computers 0.58 31.86 0.038142419 -AAAAAAAAGNGBAAAA Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici Books computers 3.42 2248.01 2.691291233 -AAAAAAAAIGCEAAAA Concerned numbers can attempt now particular, white friends; un Books computers 3.38 1297.25 1.553052501 -AAAAAAAAIGJAAAAA Probably terrible students may go. There whole issues get academic, soviet charts. Books computers 4.11 84.42 0.101066635 -AAAAAAAAIILCAAAA At least low personnel might a Books computers 9.13 529.2 0.63355204 -AAAAAAAAJBADAAAA Mean, good relations wake however strictly white possibilities. About aw Books computers 6.42 5473.02 6.55223542 -AAAAAAAAJJGBAAAA Strangers gain officially enough labour problems. Overall systems may not help below lives. Heroes find just apparently generous couple Books computers 7.15 7846.4 9.393618148 -AAAAAAAALCDAAAAA Clearly actual places would supply apparently only rats. Books computers 4.34 4611.2 5.520474613 -AAAAAAAALDBBAAAA Mines should talk outside trees. Regular eyes encourage with an victims. Civil functions try actions. Movies fit secretly for a regions. Whole, imperial customs forget Books computers 7.44 5240.16 6.273458156 -AAAAAAAAMJEAAAAA Local pro Books computers 1.04 843.52 1.009852261 -AAAAAAAAMMDEAAAA Women support almost Books computers 4.68 1401.06 1.677332617 -AAAAAAAAMNOBAAAA Scientific, young creditors might see for the alternativ Books computers 6.98 100.95 0.120856157 -AAAAAAAAMOHBAAAA Fortunately past rules mind respectively appropriate losses. Men must develop above the sources. Mere values lis Books computers 2.02 5603.38 6.708300885 -AAAAAAAANAJDAAAA Religious, delicious ways must a Books computers 7.07 14.55 0.01741909 -AAAAAAAANFJBAAAA Only old doors shall wear again. Earlier high minerals might not tell better persona Books computers 16.62 0 0 -AAAAAAAANHFDAAAA Easier strong operators could not break very; new, permanent animals Books computers 1.15 2953.07 3.535380805 -AAAAAAAAOBNDAAAA Levels undermine unfortunately efficient weeks Books computers 2.19 2853.36 3.416009161 -AAAAAAAAPDLCAAAA Inc considerations should dare sales. Little, long chapters check better exciting employers. Still english unions could pull wrong shoes. Factors would kee Books computers 70.39 7100.08 8.500132589 -AAAAAAAAPJCCAAAA Strong, british horses may not choose less. Results will not carry harsh workers. False claims will want over labour increases. Co Books computers 1.05 7745.78 9.273157063 -AAAAAAAAPKOBAAAA Yet whole dealers p Books computers 3.63 2856.73 3.420043685 -AAAAAAAAPLIDAAAA Items look somewhat new designs. Patients should solve about a officers. Minutes can act still companies. About dangerous records will not run towa Books computers 1.43 86.09 0.103065939 -AAAAAAAAABPAAAAA Particularly professional women may not tell never present, distant times. Current, only weeks could hurry quite appropriate months. Little attacks waste carefully never politi Books cooking 1.82 6350.52 12.31773667 -AAAAAAAAAJNDAAAA Physical, political decis Books cooking 6.76 0 0 -AAAAAAAABINAAAAA Below invisi Books cooking 9.59 2547.42 4.941083368 -AAAAAAAABONAAAAA Gains cannot cross colourful, long individuals. Drily red difficulties may not say to a plans. Very different cases ta Books cooking 1.6 1388.77 2.693716917 -AAAAAAAACBDCAAAA Well independent scores fight rare changes. Scottish rights would not give; implicit, modern services like yet. Conservative, effective yards should marry about a buildings. Valid, m Books cooking 0.5 381.18 0.739352819 -AAAAAAAAGALAAAAA Great, only pages might not contribute so; small components require on a films. Times find apparently. So traditional sources find conditions. Gro Books cooking 3.4 2359.09 4.57579055 -AAAAAAAAGMMCAAAA Chief countries leave actually rural, other fathers. Women discover very otherwise large ministers. Slow, envi Books cooking 7.35 13258.98 25.717677317 -AAAAAAAAGOCAAAAA Historical, economic lights shall stand much big, odd proposals. Rather grateful branches ought to take. Northern, high miles must ask increasingly. Once chronic Books cooking 4.37 3383.64 6.56305098 -AAAAAAAAKCCAAAAA Possible schools carry primarily dual rises; important meetings could continue other passengers. More scottish things might not fall orders. Right, unable expectati Books cooking 4.44 4158.51 8.066021542 -AAAAAAAAKEJAAAAA Other, atlantic regions know fast. Li Books cooking 68.84 5439 10.549714 -AAAAAAAAKJGDAAAA International eyes might see sales. Joint universities must not hold somewhat with a days. Perfect, profitable trials ought to seem; even pale quantities Books cooking 0.94 5746.3 11.145766052 -AAAAAAAALBKAAAAA Conditions used to test so for a spirits; open, royal provisions might not look approximate Books cooking 36.97 5238.71 10.161223061 -AAAAAAAALIGAAAAA There superb accidents may strike individual results. Quiet, only forests drop as little unlikely towns. Observations can discern with a points. Substantial banks dest Books cooking 0.88 73.37 0.142311549 -AAAAAAAAMIBCAAAA Views present rapidly in the relations. Average winners could fall double stations; also corresponding heroes promote direct, Books cooking 3.17 693.26 1.344676361 -AAAAAAAAONGCAAAA Outcomes will become high wide, substantial clients. Sufficient, new resources weaken only over the moments. Of cour Books cooking 1.32 170 0.329739176 -AAAAAAAAPNFEAAAA Wooden, civil fingers keep great, possible scales. Police begin ago in common responsible times. Further open fathers can believe aga Books cooking 0.33 367.15 0.712139639 -AAAAAAAAADBDAAAA Upper men used to give still different girls. Proposals subsidise famous nerves. C Books entertainments 2.21 701.28 1.07650776 -AAAAAAAAAIKCAAAA Troubles must know wise indicators. Kinds enter technical, new doubts. Likely, annual eyes see equivalent payments. Both inadequate feelings decide ever initial Books entertainments 5.04 10130.68 15.551214402 -AAAAAAAABGOBAAAA Japanese, long students may help very; there partial bombs must assess; intentions cannot execute most certain children; indeed necessary a Books entertainments 5.36 1174.34 1.80268384 -AAAAAAAACIDAAAAA Millions might answer. Attractive rules might beat coloured volunteers. Scottis Books entertainments 3.51 4097.7 6.290220524 -AAAAAAAADCOAAAAA Silly acres shall belong alike following, similar pairs. Respectively lucky newspapers shall dare. Also labour requirements can leave; pounds used to stay even only solicitors. Silver systems may de Books entertainments 75.74 613.76 0.942159199 -AAAAAAAADGKAAAAA However small values Books entertainments 1.49 3795.87 5.826892984 +AAAAAAAAAAKAAAAA Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me Books arts 2.42 2742.60 3.71 +AAAAAAAABHDCAAAA Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials Books arts 3.88 4258.84 5.77 +AAAAAAAACKEAAAAA Legs appear eventually soci Books arts 35.27 4010.65 5.43 +AAAAAAAACMDCAAAA Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things Books arts 2.75 1156.40 1.56 +AAAAAAAACNEDAAAA Particularly labour stores get farmers. Hence true records see rel Books arts 6.89 6606.82 8.95 +AAAAAAAADCCDAAAA Glad users understand very almost original jobs. Towns can understand. Supreme, following days work by a parents; german, crucial weapons work sure; fair pictur Books arts 7.18 10391.81 14.08 +AAAAAAAADJFCAAAA Significant, preliminary boys can remain lightly more pale discussion Books arts 2.74 8279.54 11.22 +AAAAAAAADPCCAAAA Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe Books arts 4.23 351.78 0.47 +AAAAAAAAEDKDAAAA Times live now to a sales. British years bring all financ Books arts 4.24 11699.92 15.85 +AAAAAAAAEGAEAAAA Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho Books arts 9.57 51.84 0.07 +AAAAAAAAFCFBAAAA Golden estates meet as yet hands. About solid proteins used to tell. Once causal boots imagine frequently new elections; flexible, other ways find re Books arts 9.76 59.01 0.07 +AAAAAAAAGHOBAAAA Fully existing proceedings could not tak Books arts 8.66 625.65 0.84 +AAAAAAAAIEPCAAAA New, popular years should think. Shareholders speak also friends; special members could not identify social eyes; indoors full Books arts 0.91 1390.83 1.88 +AAAAAAAAIHKBAAAA Very historic arms may happen even able exis Books arts 9.19 13439.76 18.21 +AAAAAAAAIIPDAAAA Af Books arts 6.04 109.23 0.14 +AAAAAAAAIJGAAAAA Then western animals could teach somewhere. Today waiting servants confuse Books arts 4.10 868.50 1.17 +AAAAAAAAKKIAAAAA Naked, popular schemes campaign then offices. Underlying shares may join Books arts 79.28 1841.04 2.49 +AAAAAAAAKNBCAAAA Early, powerful towns add mainly english savings. Years assist then new, public colleagues. Things might encounter then right new features Books arts 6.89 365.60 0.49 +AAAAAAAAOKPBAAAA Just good settings must not make; payments assure to a bishops. Principal, sorry amounts would safeguard very so other leaders; tory, substantial stairs m Books arts 2.60 5525.16 7.48 +AAAAAAAAABMBAAAA Situations retain; units might sit operations; girls shall make. Ca Books business 3.16 1204.56 0.96 +AAAAAAAAACEBAAAA Prese Books business 15.17 17499.32 14.07 +AAAAAAAAAKBDAAAA Essential students change even despite a powers. General connections will not maximi Books business 3.10 84.80 0.06 +AAAAAAAABIPBAAAA Ultimate, other objects might not install good Books business 2.57 7199.93 5.79 +AAAAAAAABKACAAAA Total pp. accept with a questions; able, generous a Books business 5.25 3702.38 2.97 +AAAAAAAABMDDAAAA Head facts resolve even. Characteristics put. Toxic, genuine officials shall not meet. Difficult chil Books business 3.85 333.90 0.26 +AAAAAAAACDBCAAAA Tiny years could run too above tough volumes. New germans must not leave as possible sales; inj Books business 1.22 799.89 0.64 +AAAAAAAACEPBAAAA Long, married artists would see negative feelings. Emot Books business 1.73 2686.56 2.16 +AAAAAAAACPODAAAA Cells stay economic, thin members. Soon special conservatives solve to the figu Books business 2.93 2431.81 1.95 +AAAAAAAADHNCAAAA Originally major industries matter mediterranean bodies. Cases should not Books business 45.06 2186.10 1.75 +AAAAAAAAEILDAAAA Bad, able systems shall fall else. Nuclear, economic ways put in an paths. Serious, labour women must not muster however. Wide new readers ought to help Books business 1.36 293.23 0.23 +AAAAAAAAFGJCAAAA Secondary, red structures may seek eyes. High true titles should make now junior fat thoughts. Partly excellent authorities receive direct, net parties. Parents look most also other issues. Empty, con Books business 8.59 3319.89 2.67 +AAAAAAAAFLMDAAAA Significantly relevant colleges extract knowingly broad investors. Entire members stay. Mediterranean legs would cut on the knees. Forthcoming, particular students u Books business 4.81 347.70 0.27 +AAAAAAAAFNOCAAAA Wonderful systems ask also very parliamentary orders; british companies Books business 87.12 105.98 0.08 +AAAAAAAAGFDCAAAA Particularly medieval blocks would not find slightly with a carers. Years respond about at a sec Books business 6.00 51.40 0.04 +AAAAAAAAGONBAAAA Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr Books business 2.30 1233.76 0.99 +AAAAAAAAIBKDAAAA Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R Books business 0.78 1158.21 0.93 +AAAAAAAAIJECAAAA Difficult, royal units put particularly significant, other plans. Essential, contemporary journals will need players. Alternatively parental Books business 4.34 10631.67 8.55 +AAAAAAAAIKEAAAAA All Books business 9.44 2.07 0.00 +AAAAAAAAIPADAAAA Orders go into the documents. Social, existing specialists will seem twice associated wishes. Finally nation Books business 5.15 1755.92 1.41 +AAAAAAAAKAJDAAAA Short neighbours implement innocently tiny titles. Briefly simple years should not tell potentially successful, whole years. Orange workers carry; home hot feet l Books business 4.43 17638.20 14.18 +AAAAAAAAKMAAAAAA Plans consult interested, light boys. Selective, other problems create scientific, young parties. Sufficient speakers might not kiss too social, basic interests. Dual, other times s Books business 0.19 3867.73 3.11 +AAAAAAAALDFAAAAA Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. Ever good tas Books business 3.68 470.96 0.37 +AAAAAAAALGBBAAAA Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from Books business 1.94 229.35 0.18 +AAAAAAAALPDCAAAA So small edges will understand currently in a things. New trains point usually systems. Years look growing questions. Different cases could sell just alive, late rules; big, large results will make Books business 4.12 6151.95 4.94 +AAAAAAAAMIGCAAAA Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m Books business 6.63 25528.76 20.53 +AAAAAAAAMIMCAAAA About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. As social relations could choose quite also Books business 0.77 417.22 0.33 +AAAAAAAAMKHAAAAA Unions shall see enough over true attitudes; of course full variable Books business 8.90 633.16 0.50 +AAAAAAAAMKNDAAAA Special, clear elements would buy at a games. Things should spot today strange, only devices. Armies should like at a patients. Hands could perform simply narrow values. N Books business 1.28 11196.30 9.00 +AAAAAAAANACBAAAA New teachers might demand never assets. Deeply bright ministers make generally never prime imports. Odd writings step common readers; talks take young, r Books business 2.95 1151.28 0.92 +AAAAAAAAAHKDAAAA Decisions play actually exclusive activities. Well assistant e Books computers 8.77 822.69 0.98 +AAAAAAAABHEEAAAA Subjects may remain officials. Forward, straight objects used to see wh Books computers 6.97 5663.04 6.77 +AAAAAAAAEAPAAAAA Just distinct children think individuals; popular arguments develop here cautious methods; appropriate children might beat. Proper, empirical hundreds fall oth Books computers 4.01 9320.46 11.15 +AAAAAAAAEDMAAAAA Books understand. Principles produce just at a premises. Years Books computers 44.48 787.29 0.94 +AAAAAAAAEMHAAAAA Boots recommend usually just local centres; c Books computers 7.56 765.23 0.91 +AAAAAAAAFEEAAAAA Capital, united feelings paint only things. Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus Books computers 3.83 78.76 0.09 +AAAAAAAAGENAAAAA Genera Books computers 2.84 4719.74 5.65 +AAAAAAAAGHCBAAAA Hundreds would meet regardless german, foreign scien Books computers 9.77 2451.75 2.93 +AAAAAAAAGMBDAAAA Vulnerable b Books computers 0.58 31.86 0.03 +AAAAAAAAGNGBAAAA Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici Books computers 3.42 2248.01 2.69 +AAAAAAAAIGCEAAAA Concerned numbers can attempt now particular, white friends; un Books computers 3.38 1297.25 1.55 +AAAAAAAAIGJAAAAA Probably terrible students may go. There whole issues get academic, soviet charts. Books computers 4.11 84.42 0.10 +AAAAAAAAIILCAAAA At least low personnel might a Books computers 9.13 529.20 0.63 +AAAAAAAAJBADAAAA Mean, good relations wake however strictly white possibilities. About aw Books computers 6.42 5473.02 6.55 +AAAAAAAAJJGBAAAA Strangers gain officially enough labour problems. Overall systems may not help below lives. Heroes find just apparently generous couple Books computers 7.15 7846.40 9.39 +AAAAAAAALCDAAAAA Clearly actual places would supply apparently only rats. Books computers 4.34 4611.20 5.52 +AAAAAAAALDBBAAAA Mines should talk outside trees. Regular eyes encourage with an victims. Civil functions try actions. Movies fit secretly for a regions. Whole, imperial customs forget Books computers 7.44 5240.16 6.27 +AAAAAAAAMJEAAAAA Local pro Books computers 1.04 843.52 1.00 +AAAAAAAAMMDEAAAA Women support almost Books computers 4.68 1401.06 1.67 +AAAAAAAAMNOBAAAA Scientific, young creditors might see for the alternativ Books computers 6.98 100.95 0.12 +AAAAAAAAMOHBAAAA Fortunately past rules mind respectively appropriate losses. Men must develop above the sources. Mere values lis Books computers 2.02 5603.38 6.70 +AAAAAAAANAJDAAAA Religious, delicious ways must a Books computers 7.07 14.55 0.01 +AAAAAAAANFJBAAAA Only old doors shall wear again. Earlier high minerals might not tell better persona Books computers 16.62 0.00 0.00 +AAAAAAAANHFDAAAA Easier strong operators could not break very; new, permanent animals Books computers 1.15 2953.07 3.53 +AAAAAAAAOBNDAAAA Levels undermine unfortunately efficient weeks Books computers 2.19 2853.36 3.41 +AAAAAAAAPDLCAAAA Inc considerations should dare sales. Little, long chapters check better exciting employers. Still english unions could pull wrong shoes. Factors would kee Books computers 70.39 7100.08 8.50 +AAAAAAAAPJCCAAAA Strong, british horses may not choose less. Results will not carry harsh workers. False claims will want over labour increases. Co Books computers 1.05 7745.78 9.27 +AAAAAAAAPKOBAAAA Yet whole dealers p Books computers 3.63 2856.73 3.42 +AAAAAAAAPLIDAAAA Items look somewhat new designs. Patients should solve about a officers. Minutes can act still companies. About dangerous records will not run towa Books computers 1.43 86.09 0.10 +AAAAAAAAABPAAAAA Particularly professional women may not tell never present, distant times. Current, only weeks could hurry quite appropriate months. Little attacks waste carefully never politi Books cooking 1.82 6350.52 12.31 +AAAAAAAAAJNDAAAA Physical, political decis Books cooking 6.76 0.00 0.00 +AAAAAAAABINAAAAA Below invisi Books cooking 9.59 2547.42 4.94 +AAAAAAAABONAAAAA Gains cannot cross colourful, long individuals. Drily red difficulties may not say to a plans. Very different cases ta Books cooking 1.60 1388.77 2.69 +AAAAAAAACBDCAAAA Well independent scores fight rare changes. Scottish rights would not give; implicit, modern services like yet. Conservative, effective yards should marry about a buildings. Valid, m Books cooking 0.50 381.18 0.73 +AAAAAAAAGALAAAAA Great, only pages might not contribute so; small components require on a films. Times find apparently. So traditional sources find conditions. Gro Books cooking 3.40 2359.09 4.57 +AAAAAAAAGMMCAAAA Chief countries leave actually rural, other fathers. Women discover very otherwise large ministers. Slow, envi Books cooking 7.35 13258.98 25.71 +AAAAAAAAGOCAAAAA Historical, economic lights shall stand much big, odd proposals. Rather grateful branches ought to take. Northern, high miles must ask increasingly. Once chronic Books cooking 4.37 3383.64 6.56 +AAAAAAAAKCCAAAAA Possible schools carry primarily dual rises; important meetings could continue other passengers. More scottish things might not fall orders. Right, unable expectati Books cooking 4.44 4158.51 8.06 +AAAAAAAAKEJAAAAA Other, atlantic regions know fast. Li Books cooking 68.84 5439.00 10.54 +AAAAAAAAKJGDAAAA International eyes might see sales. Joint universities must not hold somewhat with a days. Perfect, profitable trials ought to seem; even pale quantities Books cooking 0.94 5746.30 11.14 +AAAAAAAALBKAAAAA Conditions used to test so for a spirits; open, royal provisions might not look approximate Books cooking 36.97 5238.71 10.16 +AAAAAAAALIGAAAAA There superb accidents may strike individual results. Quiet, only forests drop as little unlikely towns. Observations can discern with a points. Substantial banks dest Books cooking 0.88 73.37 0.14 +AAAAAAAAMIBCAAAA Views present rapidly in the relations. Average winners could fall double stations; also corresponding heroes promote direct, Books cooking 3.17 693.26 1.34 +AAAAAAAAONGCAAAA Outcomes will become high wide, substantial clients. Sufficient, new resources weaken only over the moments. Of cour Books cooking 1.32 170.00 0.32 +AAAAAAAAPNFEAAAA Wooden, civil fingers keep great, possible scales. Police begin ago in common responsible times. Further open fathers can believe aga Books cooking 0.33 367.15 0.71 +AAAAAAAAADBDAAAA Upper men used to give still different girls. Proposals subsidise famous nerves. C Books entertainments 2.21 701.28 1.07 +AAAAAAAAAIKCAAAA Troubles must know wise indicators. Kinds enter technical, new doubts. Likely, annual eyes see equivalent payments. Both inadequate feelings decide ever initial Books entertainments 5.04 10130.68 15.55 +AAAAAAAABGOBAAAA Japanese, long students may help very; there partial bombs must assess; intentions cannot execute most certain children; indeed necessary a Books entertainments 5.36 1174.34 1.80 +AAAAAAAACIDAAAAA Millions might answer. Attractive rules might beat coloured volunteers. Scottis Books entertainments 3.51 4097.70 6.29 +AAAAAAAADCOAAAAA Silly acres shall belong alike following, similar pairs. Respectively lucky newspapers shall dare. Also labour requirements can leave; pounds used to stay even only solicitors. Silver systems may de Books entertainments 75.74 613.76 0.94 +AAAAAAAADGKAAAAA However small values Books entertainments 1.49 3795.87 5.82 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out index e5e8fcfca9..33b3ffac92 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q13.out @@ -1,4 +1,4 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q13 -- -31.0 2551.863333333 2365.943333333 14195.66 +31.0 2551.86 2365.94 14195.66 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out index 40b69fff24..522932b432 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_1.out @@ -29,10 +29,10 @@ catalog 1001001 3 9 30078.07 3 catalog 1001001 4 \N 109585.97 31 catalog 1001001 4 2 45473.85 13 catalog 1001001 4 3 16558.92 8 -catalog 1001001 4 4 47553.2 10 +catalog 1001001 4 4 47553.20 10 catalog 1001001 5 \N 59790.61 17 catalog 1001001 5 9 30112.11 12 -catalog 1001001 5 10 29678.5 5 +catalog 1001001 5 10 29678.50 5 catalog 1001001 6 \N 10261.82 3 catalog 1001001 6 9 10261.82 3 catalog 1001001 7 \N 18244.94 3 @@ -46,7 +46,7 @@ catalog 1001001 11 \N 82810.87 12 catalog 1001001 11 9 82810.87 12 catalog 1001001 12 \N 38427.52 9 catalog 1001001 12 10 38427.52 9 -catalog 1001001 15 \N 112838.1 20 +catalog 1001001 15 \N 112838.10 20 catalog 1001001 15 9 53508.79 7 catalog 1001001 15 10 59329.31 13 catalog 1001002 \N \N 3527831.33 706 @@ -58,8 +58,8 @@ catalog 1001002 3 \N 320175.87 67 catalog 1001002 3 1 320175.87 67 catalog 1001002 4 \N 133287.96 21 catalog 1001002 4 1 133287.96 21 -catalog 1001002 5 \N 16606.9 9 -catalog 1001002 5 1 16606.9 9 +catalog 1001002 5 \N 16606.90 9 +catalog 1001002 5 1 16606.90 9 catalog 1001002 6 \N 15133.01 4 catalog 1001002 6 1 15133.01 4 catalog 1001002 7 \N 24471.26 10 @@ -83,7 +83,7 @@ catalog 1002001 1 5 35541.97 4 catalog 1002001 1 6 26104.36 3 catalog 1002001 1 9 18793.97 4 catalog 1002001 1 10 44071.42 4 -catalog 1002001 2 \N 1233961.7 225 +catalog 1002001 2 \N 1233961.70 225 catalog 1002001 2 1 239511.02 51 catalog 1002001 2 2 147993.14 26 catalog 1002001 2 3 100086.93 17 @@ -96,7 +96,7 @@ catalog 1002001 2 9 203943.99 38 catalog 1002001 2 10 88249.19 10 catalog 1002001 3 \N 91054.32 17 catalog 1002001 3 2 25171.13 6 -catalog 1002001 3 7 27766.7 3 +catalog 1002001 3 7 27766.70 3 catalog 1002001 3 8 38116.49 8 catalog 1002001 4 \N 182427.69 32 catalog 1002001 4 1 66896.68 15 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out index daed91d69b..e3806841fa 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q14_2.out @@ -9,62 +9,62 @@ store 1003002 3 1 674007.12 188 store 1003002 3 1 607135.04 154 store 1004001 4 1 682747.23 187 store 1004001 4 1 1171699.76 311 store 1004002 4 1 739362.16 210 store 1004002 4 1 649347.19 184 store 2001001 1 2 688211.08 216 store 2001001 1 2 1342495.45 365 -store 2001002 1 2 906330.7 237 store 2001002 1 2 541063.5 153 +store 2001002 1 2 906330.70 237 store 2001002 1 2 541063.50 153 store 2002001 2 2 868177.87 211 store 2002001 2 2 1514792.19 402 store 2002002 2 2 648459.06 179 store 2002002 2 2 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b/regression-test/data/datev2/tpcds_sf1_p1/sql/q15.out index bbb00e9cbc..f2cbd83051 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q15.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q15.out @@ -1,11 +1,11 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q15 -- 4723.12 -30059 688.8 -30069 323.6 +30059 688.80 +30069 323.60 30150 372.79 -30162 1609.7 -30169 1326.3 +30162 1609.70 +30169 1326.30 30191 513.21 30194 244.76 30309 94.27 @@ -19,8 +19,8 @@ 30587 297.85 31087 573.97 31289 669.35 -31387 1226.8 -31675 362.7 +31387 1226.80 +31675 362.70 31692 541.53 31749 182.57 31757 1553.34 @@ -53,7 +53,7 @@ 34289 360.52 34338 1290.05 34466 1926.39 -34536 462.2 +34536 462.20 34593 1237.42 34854 473.89 34975 293.97 @@ -70,7 +70,7 @@ 35867 581.94 36060 173.58 36074 230.91 -36098 907.8 +36098 907.80 36115 298.06 36192 1034.53 36534 1649.99 @@ -85,7 +85,7 @@ 37057 2784.75 37683 526.34 37746 1903.08 -37838 984.6 +37838 984.60 38014 337.71 38048 670.99 38054 1377.23 @@ -97,7 +97,7 @@ 38370 1494.42 38371 716.56 38579 601.67 -38605 189.5 +38605 189.50 38721 2085.27 38828 261.89 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out index 3798edeaa4..1955a591df 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q18.out @@ -1,103 +1,103 @@ -- This file is automatically generated. 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78.76 -736.95 1959.00 6.00 +AAAAAAAAAKECAAAA \N \N \N 87.00 101.36 0.00 67.91 1825.26 1986.00 4.00 +AAAAAAAAAKJBAAAA \N \N \N 2.00 235.69 0.00 77.77 -9.86 1962.00 0.00 +AAAAAAAAAKJDAAAA \N \N \N 96.00 254.83 0.00 188.57 9488.64 1946.00 2.00 +AAAAAAAAAKKCAAAA \N \N \N 85.00 253.56 0.00 202.84 9783.50 1967.00 0.00 +AAAAAAAAAKLCAAAA \N \N \N 75.00 5.03 0.00 4.97 198.75 1973.00 0.00 +AAAAAAAAALBCAAAA \N \N \N 3.00 43.18 0.00 5.18 -39.12 1963.00 5.00 +AAAAAAAAALCBAAAA \N \N \N 61.00 80.16 0.00 26.45 -1646.39 1975.00 4.00 +AAAAAAAAALCDAAAA \N \N \N 4.00 129.61 0.00 110.16 149.36 1991.00 0.00 +AAAAAAAAALIAAAAA \N \N \N 55.00 153.18 0.00 137.86 2740.10 1928.00 3.00 +AAAAAAAAALIBAAAA \N \N \N 53.00 170.42 3689.47 161.89 -45.19 1985.00 2.00 +AAAAAAAAALMAAAAA \N \N \N 89.00 59.26 0.00 18.37 -865.08 1959.00 6.00 +AAAAAAAAALMCAAAA \N \N \N 96.00 226.96 0.00 11.34 -6693.12 1934.00 4.00 +AAAAAAAAALMDAAAA \N \N \N 26.00 128.64 0.00 60.46 -125.84 1984.00 2.00 +AAAAAAAAALNCAAAA \N \N \N 77.00 27.89 0.00 9.76 -224.84 1946.00 5.00 +AAAAAAAAALOBAAAA \N \N \N 81.50 70.72 0.00 53.52 118.41 1966.00 1.50 +AAAAAAAAAMBBAAAA \N \N \N 83.00 136.57 0.00 45.06 -4077.79 1957.00 2.00 +AAAAAAAAAMEBAAAA \N \N \N 67.00 9.50 0.00 3.23 -100.50 1945.00 1.00 +AAAAAAAAAMFAAAAA \N \N \N 56.00 215.16 0.00 36.57 -3404.24 1986.00 2.00 +AAAAAAAAAMNDAAAA \N \N \N 70.00 101.27 4284.88 65.82 -4341.58 1932.00 5.00 +AAAAAAAAANBDAAAA \N \N \N 75.00 114.96 1282.93 27.59 -6711.43 1925.00 5.00 +AAAAAAAAANDDAAAA \N \N \N 50.00 222.88 0.00 2.22 -4494.00 1948.00 1.00 +AAAAAAAAANECAAAA \N \N \N 93.00 53.42 0.00 47.54 -54.87 1979.00 5.00 +AAAAAAAAANFEAAAA \N \N \N 25.00 151.77 116.28 65.95 -1264.83 1930.50 2.50 +AAAAAAAAANGDAAAA \N \N \N 60.00 79.60 0.00 44.57 -1028.40 1941.00 1.00 +AAAAAAAAANIBAAAA \N \N \N 72.00 47.92 0.00 39.29 1560.24 1933.00 3.00 +AAAAAAAAAOCAAAAA \N \N \N 30.00 64.98 0.00 44.18 -415.20 1964.00 0.00 +AAAAAAAAAODAAAAA \N \N \N 76.00 66.98 0.00 5.35 -1437.92 1959.00 3.00 +AAAAAAAAAOFDAAAA \N \N \N 87.00 28.71 0.00 27.84 1472.04 1968.00 6.00 +AAAAAAAAAOMCAAAA \N \N \N 8.00 112.64 0.00 36.04 -509.20 1973.00 4.00 +AAAAAAAAAPBEAAAA \N \N \N 22.00 143.89 664.75 50.36 -1397.35 1925.00 0.00 +AAAAAAAAAPEDAAAA \N \N \N 90.00 72.94 0.00 17.50 -3554.10 1928.00 3.00 +AAAAAAAAAPFAAAAA \N \N \N 52.00 117.67 0.00 77.66 1354.60 1977.00 2.00 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out index 3e5641eca8..b510600ea6 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q19.out @@ -9,7 +9,7 @@ 10012003 importoamalgamalg #3 68 eingcally 36856.35 5003002 exportischolar #2 50 baranti 35402.74 4002002 importoedu pack #2 615 antioughtcally 34673.98 -3002002 importoexporti #2 581 oughteinganti 34669 +3002002 importoexporti #2 581 oughteinganti 34669.00 5003001 exportischolar #1 224 eseableable 34541.38 5004002 edu packscholar #2 168 eingcallyought 33004.86 4001001 amalgedu pack #1 379 n stationpri 32777.45 @@ -29,28 +29,28 @@ 7014001 edu packnameless #1 23 priable 28408.56 5001001 amalgscholar #1 192 ablen stought 28136.83 8007009 brandnameless #9 34 esepri 28006.46 -6010003 univbrand #3 165 anticallyought 27826.4 -4002001 importoedu pack #1 96 callyn st 27785.5 +6010003 univbrand #3 165 anticallyought 27826.40 +4002001 importoedu pack #1 96 callyn st 27785.50 4003001 exportiedu pack #1 30 barpri 27681.74 1002002 importoamalg #2 504 esebaranti 27540.55 9009011 maximaxi #11 117 ationoughtought 26149.58 -10012006 importoamalgamalg #6 162 ablecallyought 25077.8 +10012006 importoamalgamalg #6 162 ablecallyought 25077.80 5002001 importoscholar #1 202 ablebarable 24662.36 5004002 edu packscholar #2 427 ationableese 24502.14 -8009007 maxinameless #7 146 callyeseought 24020.7 +8009007 maxinameless #7 146 callyeseought 24020.70 7002005 importobrand #5 822 ableableeing 23637.35 4001001 amalgedu pack #1 236 callypriable 23425.22 -3002001 importoexporti #1 889 n steingeing 23327.1 +3002001 importoexporti #1 889 n steingeing 23327.10 4001001 amalgedu pack #1 106 callybarought 23272.95 9004011 edu packmaxi #11 241 oughteseable 23233.46 -6011005 amalgbrand #5 373 priationpri 22935.3 +6011005 amalgbrand #5 373 priationpri 22935.30 5004001 edu packscholar #1 191 oughtn stought 22767.49 10003001 exportiunivamalg #1 252 ableantiable 22605.56 2002001 importoimporto #1 265 anticallyable 22316.14 2004001 edu packimporto #1 584 eseeinganti 22312.87 4004002 edu packedu pack #2 293 prin stable 22272.04 1003002 exportiamalg #2 400 barbarese 22200.21 -9011008 amalgunivamalg #8 93 prin st 22103.7 +9011008 amalgunivamalg #8 93 prin st 22103.70 8011002 amalgmaxi #2 293 prin stable 21784.46 8006008 corpnameless #8 605 antibarcally 21599.44 9016003 corpunivamalg #3 51 oughtanti 21135.21 @@ -59,7 +59,7 @@ 10011002 amalgamalgamalg #2 112 ableoughtought 20652.72 2001001 amalgimporto #1 219 n stoughtable 20647.28 2002001 importoimporto #1 100 barbarought 20543.92 -4004001 edu packedu pack #1 718 eingoughtation 20488.8 +4004001 edu packedu pack #1 718 eingoughtation 20488.80 8014009 edu packmaxi #9 214 eseoughtable 20379.43 8012001 importomaxi #1 277 ationationable 20343.98 10010013 univamalgamalg #13 656 callyantically 20274.67 @@ -76,18 +76,18 @@ 4003002 exportiedu pack #2 117 ationoughtought 18063.44 1004001 edu packamalg #1 380 bareingpri 17896.97 1001001 amalgamalg #1 346 callyesepri 17660.98 -4003002 exportiedu pack #2 28 eingable 17496 +4003002 exportiedu pack #2 28 eingable 17496.00 6005006 scholarcorp #6 270 barationable 17373.47 8012007 importomaxi #7 320 barablepri 17247.22 1004001 edu packamalg #1 594 esen stanti 17217.04 -10001009 amalgunivamalg #9 414 eseoughtese 17196.1 +10001009 amalgunivamalg #9 414 eseoughtese 17196.10 1003002 exportiamalg #2 483 prieingese 17180.13 10010005 univamalgamalg #5 684 eseeingcally 17146.97 6004005 edu packcorp #5 224 eseableable 17081.31 2003001 exportiimporto #1 288 eingeingable 17031.57 2002001 importoimporto #1 134 esepriought 16596.84 8014007 edu packmaxi #7 350 barantipri 16580.66 -6007007 brandcorp #7 47 ationese 16413.4 +6007007 brandcorp #7 47 ationese 16413.40 1002001 importoamalg #1 184 eseeingought 15985.73 1002002 importoamalg #2 489 n steingese 15707.42 6013003 exportibrand #3 16 callyought 15594.16 @@ -95,7 +95,7 @@ 10008005 namelessunivamalg #5 813 prioughteing 15433.53 10004013 edu packunivamalg #13 764 esecallyation 15242.69 10006012 corpunivamalg #12 166 callycallyought 15153.42 -1004001 edu packamalg #1 222 ableableable 15030.2 +1004001 edu packamalg #1 222 ableableable 15030.20 8003003 exportinameless #3 85 antieing 14918.95 5004001 edu packscholar #1 595 antin stanti 14910.27 4003001 exportiedu pack #1 239 n stpriable 14778.52 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q20.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q20.out index 37967dfaaf..dcac1651f0 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q20.out +++ 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Years respond about at a sec Books business 6 318.24 0.20278613 -AAAAAAAAGONBAAAA Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr Books business 2.3 1639.26 1.044555026 -AAAAAAAAIBKDAAAA Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R Books business 0.78 1490.85 0.949986494 -AAAAAAAAIINDAAAA Frames can park highly parents. White ma Books business 6.97 4313.52 2.748623767 -AAAAAAAAIJECAAAA Difficult, royal units put particularly significant, other plans. Essential, contemporary journals will need players. Alternatively parental Books business 4.34 2268 1.445195271 -AAAAAAAAIJJCAAAA Euro Books business 3.01 4889.34 3.115542788 -AAAAAAAAIKEAAAAA All Books business 9.44 182.52 0.11630381 -AAAAAAAAIPADAAAA Orders go into the documents. Social, existing specialists will seem twice associated wishes. 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Ever good tas Books business 3.68 1816.45 1.1574625 -AAAAAAAALGBBAAAA Modern records retain about there civil plans. Social bodies survive. Great, living losses bother late, coherent others. About british sports ought to use cautiously from Books business 1.94 1252.09 0.79784592 -AAAAAAAAMALDAAAA Here final difficulties would not comply just legal good motives. Enough sensitive things could not spend obviously with a systems. In pu Books business 91.76 356.85 0.227388859 -AAAAAAAAMIGCAAAA Carefully physical hotels must put together; similar details cannot appreciate by a standards. Rates can break m Books business 6.63 562.96 0.358724484 -AAAAAAAAMIMCAAAA About likely houses like international members. Final, relevant birds answer after the paintings. Hungry, personal days borrow tiny, primary resources. 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Normal methods forget even communist changes; technical numbers convert either natu Books business 4.67 3899.62 2.484882002 -AAAAAAAAPGDBAAAA Certainly remaining flowers can wonder then just significant papers; places secure below as a bombs. Other, domestic members must allow very polite thi Books business 0.6 12462.77 7.941418105 -AAAAAAAAPHJAAAAA Possibly great customs suit close looks. Capable, frequent processes shall pass possible dangers; hard, private words act measures. Mysterious, acceptable fac Books business 6.64 6141.24 3.913267638 -AAAAAAAAAALDAAAA Forward liable funds may not end from time to time local, domestic chiefs. Major, well-known newspapers can regain together new, white conclusions. Very vital employees can draw Books computers 17.54 588.01 0.311079714 -AAAAAAAAAHKDAAAA Decisions play actually exclusive activities. Well assistant e Books computers 8.77 1619.66 0.856861908 -AAAAAAAAAKGDAAAA Tonnes could use slowly off a servants. 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T Books computers 2.06 449.61 0.237860836 -AAAAAAAAGENAAAAA Genera Books computers 2.84 950.58 0.502893071 -AAAAAAAAGHCBAAAA Hundreds would meet regardless german, foreign scien Books computers 9.77 1969.6 1.041993513 -AAAAAAAAGNGBAAAA Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici Books computers 3.42 377.26 0.199584927 -AAAAAAAAHPADAAAA Used, young sizes take requirements. Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. Long new moments will own after the Books computers 9.19 690.9 0.365512448 -AAAAAAAAIAMAAAAA Alone walls mus Books computers 2 4530.16 2.396627403 +AAAAAAAAOJGAAAAA Books \N 2838.09 24.10 +AAAAAAAAAAKAAAAA Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me Books arts 2.42 6478.75 3.22 +AAAAAAAAACKBAAAA Clinical, inc initiatives make specially according to a activities. Books arts 6.92 1806.72 0.90 +AAAAAAAAAIJCAAAA Simply small grounds use exactly effects. Services could kill especially aware, large observers. Civil, relevant years ensure regulations; clear drawings realize actors. Products employ a Books arts 1.76 14302.11 7.12 +AAAAAAAAAJIAAAAA Joint, superior police would use through an restrictions. Buyers ought to contract generally in a efforts. Days cut also sure, frequent s Books arts 0.43 1094.80 0.54 +AAAAAAAABFHDAAAA Little days answer in a emotions; players touch. Books arts 2.58 6331.08 3.15 +AAAAAAAABHDCAAAA Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials Books arts 3.88 2596.68 1.29 +AAAAAAAACBACAAAA Remaining, main passengers go far sure men. 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Greatly financial economies should not pay somewhere soviet necessary armies; educational concepts mus Books computers 3.83 812.19 0.42 +AAAAAAAAFLFEAAAA Social weeks may hope. However parental objects shall get just potential logical stations. Agreements attend on a arms; circa real reforms may interpret dogs. T Books computers 2.06 449.61 0.23 +AAAAAAAAGENAAAAA Genera Books computers 2.84 950.58 0.50 +AAAAAAAAGHCBAAAA Hundreds would meet regardless german, foreign scien Books computers 9.77 1969.60 1.04 +AAAAAAAAGNGBAAAA Brilliant, massive prisons take still national others. Only northern guidelines go right by the lips. General, spiritual walls shall reach in a languages. British nations eat substantial polici Books computers 3.42 377.26 0.19 +AAAAAAAAHPADAAAA Used, young sizes take requirements. Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. 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2.443161679 1.301135841 -Forest County 2000 0.644745097 0.342367154 5.771027366 1.881073963 -Gaston County 2000 0.763773586 0.455495569 3.95561128 2.141572089 -Grant County 2000 0.693335907 0.622870066 1.788644404 1.722196983 -Green County 2000 0.76366674 0.321498504 4.694151796 4.207033932 -Harlan County 2000 1.670354524 1.590114626 2.4719588 2.107294236 -Harris County 2000 2.337568783 0.333126434 2.417057877 1.025794223 -Heard County 2000 4.102554258 1.266947369 3.500227961 1.127804003 -Houston County 2000 2.045325814 1.03898262 1.965051011 1.421193285 -Ingham County 2000 0.574390405 0.384113646 1.30651659 0.992061013 -Lake County 2000 1.25507735 0.745928167 1.515147259 1.265661579 -Lamar County 2000 0.749357568 0.745616869 4.269035832 2.029583822 -Lincoln County 2000 1.019136591 0.94484497 2.33595982 1.776927736 -Marion County 2000 1.158998671 0.91651142 2.445039955 1.85107282 -Mercer County 2000 0.738341741 0.601678213 3.012450028 2.724470268 -Meriwether County 2000 0.365747588 0.300417185 2.772270099 0.78776869 -Miller County 2000 2.575744866 1.318273313 2.191967846 0.982218113 -Mitchell County 2000 4.439233009 1.161334745 1.394036281 1.256074454 -Mora County 2000 1.183260684 0.635654236 2.513120407 0.918567175 -Nantucket County 2000 1.437896705 0.722692086 1.17548815 0.962303762 -New Kent County 2000 0.602616194 0.399062211 2.869386396 2.625894835 -Nicholas County 2000 2.165116196 2.056273953 6.021299813 1.262576584 -Otero County 2000 2.754655268 1.246298857 2.97611082 2.245834646 -Oxford County 2000 0.973142972 0.757240456 4.012686899 1.640751036 -Perry County 2000 1.580780313 0.764453185 2.153369949 1.802410386 -Prince William County 2000 3.376372944 0.630787296 1.706966726 0.934323754 -Refugio County 2000 1.812976433 0.586731801 1.301983901 1.269603567 -Rice County 2000 1.134698456 0.733017645 2.378149355 1.986401829 -Richmond County 2000 1.57166529 1.294014992 2.309592011 1.77801574 -Sheridan County 2000 1.386029931 1.250657036 1.575936274 0.537886078 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You should know what you did if you want to edit this -- !q43 -- -able AAAAAAAACAAAAAAA 517884.59 469230.5 505832.67 443696.3 479716.97 462447.5 503064.6 +able AAAAAAAACAAAAAAA 517884.59 469230.50 505832.67 443696.30 479716.97 462447.50 503064.60 ation AAAAAAAAHAAAAAAA 508811.68 474290.02 448808.84 492870.99 498127.64 474355.89 505906.68 -bar AAAAAAAAKAAAAAAA 496021.8 459933.01 479825.96 474630.24 482326.79 478330.87 505252.22 +bar AAAAAAAAKAAAAAAA 496021.80 459933.01 479825.96 474630.24 482326.79 478330.87 505252.22 eing AAAAAAAAIAAAAAAA 498752.97 476119.01 485965.24 454921.28 491953.89 476014.69 484633.67 ese AAAAAAAAEAAAAAAA 493724.01 499637.85 452314.62 466232.23 481922.38 477933.29 500577.95 -ought AAAAAAAABAAAAAAA 505735.34 471490.23 463248.39 482690.52 485818.98 481816.2 491354.68 +ought AAAAAAAABAAAAAAA 505735.34 471490.23 463248.39 482690.52 485818.98 481816.20 491354.68 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out index 6db52e55fa..9639907de3 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q46.out @@ -1,20 +1,20 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q46 -- Bunker Hill 133136 4983.83 -11549.37 - Plainview 1459 0 -3836.32 + Plainview 1459 0.00 -3836.32 Red Hill 93581 258.51 -4603.87 - Red Hill 126394 0 -7598 + Red Hill 126394 0.00 -7598.00 Antioch Belmont 149232 1500.41 -3669.87 Ashland Philadelphia 155902 2303.72 -9449.87 - Bayview Springdale 162862 529.16 -18595.6 + Bayview Springdale 162862 529.16 -18595.60 Belleview Nichols 59976 13402.13 -15556.69 - Blair Hamilton 206536 0 -1287.17 + Blair Hamilton 206536 0.00 -1287.17 Brownsville Bunker Hill 159429 4557.21 -21733.27 Brownsville Mechanicsburg 60829 2340.86 -7083.55 Brunswick Mountain View 123733 2956.13 -17208.64 - Buckingham Siloam 93903 319.04 -8652.2 - Bunker Hill Antioch 199878 0 -773.27 - Bunker Hill Greenfield 127182 862.7 -15471.32 + Buckingham Siloam 93903 319.04 -8652.20 + Bunker Hill Antioch 199878 0.00 -773.27 + Bunker Hill Greenfield 127182 862.70 -15471.32 Bunker Hill Hopewell 53497 1896.43 -14367.16 Cedar Grove Jackson 81259 8.55 -11335.94 Centerville Bethel 210801 6002.21 -18193.72 @@ -25,18 +25,18 @@ Clifton Mount Vernon 95501 3283.17 -13463.75 Concord Stringtown 97052 2949.46 -762.97 Cordova Crossroads 85385 38.97 -1522.58 - Crossroads Buena Vista 221999 6605.5 -14108.43 + Crossroads Buena Vista 221999 6605.50 -14108.43 Crossroads Unionville 58203 1393.55 -11986.88 - Deerfield Riverside 226924 1511.1 -12462.44 - Derby Riverdale 140237 4006.86 -7955.3 - Edgewood Hopewell 167421 3066.7 -20260.27 + Deerfield Riverside 226924 1511.10 -12462.44 + Derby Riverdale 140237 4006.86 -7955.30 + Edgewood Hopewell 167421 3066.70 -20260.27 Empire Five Forks 43396 1194.37 -7701.69 Empire Midway 165554 258.33 -16775.39 Enterprise Highland Park 147688 2213.54 -1680.47 Enterprise Red Hill 115200 7016.43 -19331.97 - Fairfield Bridgeport 13112 1111.88 -10033.4 - Fairfield Midway 671 438.9 2207.18 - Fairfield Shiloh 149867 2723.49 -7041.5 + Fairfield Bridgeport 13112 1111.88 -10033.40 + Fairfield Midway 671 438.90 2207.18 + Fairfield Shiloh 149867 2723.49 -7041.50 Fairfield Springdale 66752 3844.64 -8300.75 Fairview Florence 90439 7932.81 -18236.19 Five Forks Lakewood 186991 4960.22 -10929.93 @@ -47,32 +47,32 @@ Florence Spring Hill 104935 40.79 -9961.14 Forest Hills Argyle 139387 508.08 -3990.97 Forest Hills Ashland 214771 1585.36 -2846.81 - Forest Hills Riverside 184229 2485.6 -7673.4 + Forest Hills Riverside 184229 2485.60 -7673.40 Franklin Floyd 230648 791.64 -8627.59 Friendship Ashland 11043 382.33 -4808.33 - Georgetown Clifton 123750 189.6 -5249.53 - Georgetown Glendale 27617 787.61 -8592.3 - Georgetown Red Hill 234956 50.9 -12681.22 + Georgetown Clifton 123750 189.60 -5249.53 + Georgetown Glendale 27617 787.61 -8592.30 + Georgetown Red Hill 234956 50.90 -12681.22 Georgetown Summit 120620 1005.21 -3159.14 Gladstone Hopewell 229820 184.68 -9366.12 Glendale Four Points 167992 29.32 3058.64 - Glendale Indian Village 203729 3173.01 -5661.9 + Glendale Indian Village 203729 3173.01 -5661.90 Glendale Marion 51036 993.75 -10587.28 Glendale Mount Pleasant 159389 2415.56 -12041.36 Glendale West Liberty 5509 694.86 -23013.69 Glenwood Antioch 86386 413.05 -6649.42 Glenwood Clinton 4460 1568.11 -17245.05 - Glenwood Clinton 90728 3371.21 -15159.1 + Glenwood Clinton 90728 3371.21 -15159.10 Granite Clinton 211465 8156.94 -18944.88 Green Acres Avery 191571 383.26 -7422.35 - Greenfield Edgewood 69782 1026.47 -14367.2 + Greenfield Edgewood 69782 1026.47 -14367.20 Greenfield Red Oak 214549 1610.58 -1902.29 - Greenfield Riverdale 133538 9390.1 -15802.28 + Greenfield Riverdale 133538 9390.10 -15802.28 Greenville Mountain View 103238 4318.13 -4564.09 - Greenville Shiloh 155915 0 -9362.72 + Greenville Shiloh 155915 0.00 -9362.72 Greenwood Bridgeport 228626 994.35 -11510.47 - Greenwood Lakeside 37922 2446 -7423.85 - Greenwood Macedonia 133102 0 -2193.62 + Greenwood Lakeside 37922 2446.00 -7423.85 + Greenwood Macedonia 133102 0.00 -2193.62 Hamilton Cedar 112720 201.76 -11031.54 Hamilton Liberty 121398 536.72 -8979.34 Hamilton Valley View 161021 222.62 -14659.54 @@ -80,23 +80,23 @@ Harmony Bethel 77060 5652.18 -15038.44 Highland Park Salem 69302 1868.14 -9374.04 Hillcrest Valley View 218569 1675.85 1324.33 - Hopewell Centerville 17403 0 -6426.77 + Hopewell Centerville 17403 0.00 -6426.77 Jackson Springdale 72874 32.49 -3297.92 Jackson Union Hill 114590 6854.05 -10691.19 Jackson Union Hill 181398 1.53 -2517.92 Kingston Clinton 169584 14529.68 -33013.98 Lakeview 65375 123.96 -5494.33 - 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1999 4 4690.5775 1855.85 3524.69 3050.34 -Men edu packimporto #1 eing Unknown 1999 2 5501.180833333 2683.7 4304.21 2453.88 -Women exportiamalg #1 able Unknown 1999 2 4123.600833333 1306.4 2876.61 2238.71 -Music exportischolar #1 able Unknown 1999 5 5090.105 2281.8 2488.24 3304.75 -Shoes exportiedu pack #1 ought Unknown 1999 2 4755.535833333 1951 3949.06 2767.05 -Men importoimporto #1 ese Unknown 1999 6 5492.8175 2691.33 3210.74 3754.33 -Men amalgimporto #1 ation Unknown 1999 2 4909.460833333 2116.43 3187.2 3356.64 -Men importoimporto #1 ought Unknown 1999 2 5045.758333333 2253.7 4158.86 3467.09 -Shoes amalgedu pack #1 ation Unknown 1999 7 5152.095833333 2368.73 2077.67 7543.6 -Men edu packimporto #1 ese Unknown 1999 3 4979.361666667 2201 3110.55 3118.3 -Children exportiexporti #1 ation Unknown 1999 2 5238.3575 2462.96 3808.48 3221.7 -Men amalgimporto #1 ation Unknown 1999 4 4909.460833333 2136.23 3356.64 3046.51 -Children importoexporti #1 able Unknown 1999 7 4586.298333333 1814.46 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2280.93 +Shoes exportiedu pack #1 bar Unknown 1999 2 5296.08 2685.85 4235.44 2410.44 +Children importoexporti #1 able Unknown 1999 5 4586.29 1982.77 2837.74 2643.58 +Music exportischolar #1 able Unknown 1999 4 5090.10 2488.24 2966.36 2281.80 +Shoes importoedu pack #1 able Unknown 1999 7 4700.91 2100.12 2533.01 5888.57 +Music edu packscholar #1 bar Unknown 1999 2 5484.78 2903.45 3410.13 3024.86 +Shoes exportiedu pack #1 ation Unknown 1999 3 4873.51 2300.45 2797.30 2302.76 +Shoes exportiedu pack #1 ation Unknown 1999 4 4873.51 2302.76 2300.45 2170.98 +Shoes importoedu pack #1 bar Unknown 1999 3 4794.67 2225.70 2756.97 2413.76 +Music edu packscholar #1 ought Unknown 1999 5 5552.30 2985.49 3241.69 4081.99 +Music edu packscholar #1 eing Unknown 1999 3 5539.30 2973.01 3069.18 3862.34 +Shoes amalgedu pack #1 eing Unknown 1999 7 4706.54 2143.18 2458.07 5967.73 +Children exportiexporti #1 ought Unknown 1999 5 5018.27 2458.03 3467.53 2683.61 +Children exportiexporti #1 able Unknown 1999 4 4955.24 2395.57 3097.63 2230.80 +Children exportiexporti #1 eing Unknown 1999 2 5109.65 2550.30 4039.10 2685.10 +Music exportischolar #1 ought Unknown 1999 4 5079.18 2520.64 3233.50 3079.89 +Women edu packamalg #1 ation Unknown 1999 2 4507.41 1951.42 4166.02 2865.38 +Women amalgamalg #1 ought Unknown 1999 1 4619.70 2065.94 9639.59 2521.70 +Music importoscholar #1 ought Unknown 1999 3 4004.44 1456.84 2438.63 2790.03 +Shoes edu packedu pack #1 eing Unknown 1999 5 4664.86 2122.71 3131.02 2852.96 +Women importoamalg #1 bar Unknown 1999 3 4437.21 1895.27 2678.48 2999.04 +Music exportischolar #1 able Unknown 1999 2 5090.10 2550.48 3702.29 2966.36 +Music edu packscholar #1 able Unknown 1999 1 5335.90 2796.97 13360.68 3413.22 +Children exportiexporti #1 eing Unknown 1999 4 5109.65 2574.12 2685.10 2672.73 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out index c9fa4e2e35..5d52ab6265 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q49.out @@ -1,35 +1,35 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q49 -- -catalog 17543 0.5714 1 1 -catalog 14513 0.6354 2 2 -catalog 12577 0.6559 3 3 -catalog 3411 0.7164 4 4 -catalog 361 0.7465 5 5 -catalog 8189 0.7470 6 6 -catalog 8929 0.7625 7 7 -catalog 14869 0.7717 8 8 -catalog 9295 0.7789 9 9 -catalog 16215 0.7907 10 10 -store 9471 0.7750 1 1 -store 9797 0.8000 2 2 -store 12641 0.8161 3 3 -store 15839 0.8163 4 4 -store 1171 0.8242 5 5 -store 11589 0.8265 6 6 -store 6661 0.9221 7 7 -store 13013 0.9420 8 8 -store 14925 0.9647 9 9 -store 4063 1.0000 10 10 -store 9029 1.0000 10 10 -web 7539 0.5900 1 1 -web 3337 0.6265 2 2 -web 15597 0.6620 3 3 -web 2915 0.6986 4 4 -web 11933 0.7172 5 5 -web 3305 0.7375 6 16 -web 483 0.8000 7 6 -web 85 0.8571 8 7 -web 97 0.9036 9 8 -web 117 0.9250 10 9 -web 5299 0.9271 11 10 +catalog 17543 0.5714 1 1 +catalog 14513 0.6354 2 2 +catalog 12577 0.6559 3 3 +catalog 3411 0.7164 4 4 +catalog 361 0.7464 5 5 +catalog 8189 0.7469 6 6 +catalog 8929 0.7625 7 7 +catalog 14869 0.7717 8 8 +catalog 9295 0.7789 9 9 +catalog 16215 0.7906 10 10 +store 9471 0.7750 1 1 +store 9797 0.8000 2 2 +store 12641 0.8160 3 3 +store 15839 0.8163 4 4 +store 1171 0.8241 5 5 +store 11589 0.8265 6 6 +store 6661 0.9220 7 7 +store 13013 0.9420 8 8 +store 14925 0.9647 9 9 +store 4063 1.0000 10 10 +store 9029 1.0000 10 10 +web 7539 0.5900 1 1 +web 3337 0.6265 2 2 +web 15597 0.6619 3 3 +web 2915 0.6986 4 4 +web 11933 0.7171 5 5 +web 3305 0.7375 6 16 +web 483 0.8000 7 6 +web 85 0.8571 8 7 +web 97 0.9036 9 8 +web 117 0.9250 10 9 +web 5299 0.9270 11 10 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out index 2ea0d1a6ee..9e806d0ec5 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q49_rewrite.out @@ -1,34 +1,35 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q49_rewrite -- -catalog 17543 0.5714 1 1 -catalog 14513 0.6354 2 2 -catalog 12577 0.6559 3 3 -catalog 3411 0.7164 4 4 -catalog 361 0.7465 5 5 -catalog 8189 0.7470 6 6 -catalog 8929 0.7625 7 7 -catalog 14869 0.7717 8 8 -catalog 9295 0.7789 9 9 -catalog 16215 0.7907 10 10 -store 9471 0.7750 1 1 -store 9797 0.8000 2 2 -store 12641 0.8161 3 3 -store 15839 0.8163 4 4 -store 1171 0.8242 5 5 -store 11589 0.8265 6 6 -store 6661 0.9221 7 7 -store 13013 0.9420 8 8 -store 14925 0.9647 9 9 -store 4063 1.0000 10 10 -store 9029 1.0000 10 10 -web 7539 0.5900 1 1 -web 3337 0.6265 2 2 -web 15597 0.6620 3 3 -web 2915 0.6986 4 4 -web 11933 0.7172 5 5 -web 3305 0.7375 6 16 -web 483 0.8000 7 6 -web 85 0.8571 8 7 -web 97 0.9036 9 8 -web 117 0.9250 10 9 -web 5299 0.9271 11 10 +catalog 17543 0.5714 1 1 +catalog 14513 0.6354 2 2 +catalog 12577 0.6559 3 3 +catalog 3411 0.7164 4 4 +catalog 361 0.7464 5 5 +catalog 8189 0.7469 6 6 +catalog 8929 0.7625 7 7 +catalog 14869 0.7717 8 8 +catalog 9295 0.7789 9 9 +catalog 16215 0.7906 10 10 +store 9471 0.7750 1 1 +store 9797 0.8000 2 2 +store 12641 0.8160 3 3 +store 15839 0.8163 4 4 +store 1171 0.8241 5 5 +store 11589 0.8265 6 6 +store 6661 0.9220 7 7 +store 13013 0.9420 8 8 +store 14925 0.9647 9 9 +store 4063 1.0000 10 10 +store 9029 1.0000 10 10 +web 7539 0.5900 1 1 +web 3337 0.6265 2 2 +web 15597 0.6619 3 3 +web 2915 0.6986 4 4 +web 11933 0.7171 5 5 +web 3305 0.7375 6 16 +web 483 0.8000 7 6 +web 85 0.8571 8 7 +web 97 0.9036 9 8 +web 117 0.9250 10 9 +web 5299 0.9270 11 10 + diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out index 111fdddb19..5bd9b122e1 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q51.out @@ -1,23 +1,23 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q51 -- -14 2000-01-10 176.83 \N 176.83 73.6 +14 2000-01-10 176.83 \N 176.83 73.60 14 2000-01-21 \N 75.29 176.83 75.29 14 2000-01-29 222.33 \N 222.33 75.29 14 2000-02-02 224.01 \N 224.01 75.29 14 2000-02-08 \N 85.07 224.01 85.07 -14 2000-02-19 \N 98.6 224.01 98.6 -14 2000-02-21 241.64 \N 241.64 98.6 +14 2000-02-19 \N 98.60 224.01 98.60 +14 2000-02-21 241.64 \N 241.64 98.60 14 2000-02-22 \N 99.83 241.64 99.83 14 2000-03-18 \N 112.82 241.64 112.82 14 2000-03-23 251.15 \N 251.15 112.82 14 2000-03-28 260.17 \N 260.17 112.82 14 2000-03-31 370.74 \N 370.74 112.82 14 2000-04-05 \N 115.94 370.74 115.94 -14 2000-04-15 445.3 \N 445.3 115.94 -14 2000-04-27 \N 151.48 445.3 151.48 -14 2000-05-03 \N 176.89 445.3 176.89 -14 2000-05-10 451.4 \N 451.4 176.89 -14 2000-05-21 \N 238.39 451.4 238.39 +14 2000-04-15 445.30 \N 445.30 115.94 +14 2000-04-27 \N 151.48 445.30 151.48 +14 2000-05-03 \N 176.89 445.30 176.89 +14 2000-05-10 451.40 \N 451.40 176.89 +14 2000-05-21 \N 238.39 451.40 238.39 14 2000-05-26 596.81 \N 596.81 238.39 14 2000-05-29 \N 242.51 596.81 242.51 14 2000-06-05 \N 304.64 596.81 304.64 @@ -34,7 +34,7 @@ 25 2000-01-28 192.46 \N 192.46 4.49 25 2000-02-09 \N 24.23 192.46 24.23 25 2000-02-11 \N 98.99 192.46 98.99 -25 2000-02-21 \N 170.6 192.46 170.6 +25 2000-02-21 \N 170.60 192.46 170.60 25 2000-02-22 \N 185.05 192.46 185.05 35 2000-01-14 \N 55.24 177.88 55.24 35 2000-01-16 \N 95.92 177.88 95.92 @@ -69,22 +69,22 @@ 53 2000-01-02 12.85 1.13 12.85 1.13 53 2000-01-08 119.24 \N 119.24 1.13 53 2000-01-09 126.98 \N 126.98 1.13 -53 2000-01-15 \N 3.2 126.98 3.2 +53 2000-01-15 \N 3.20 126.98 3.20 53 2000-02-04 \N 22.89 126.98 22.89 53 2000-02-05 \N 64.45 126.98 64.45 53 2000-02-12 \N 66.06 126.98 66.06 56 2000-01-02 41.57 17.31 41.57 17.31 -61 2000-02-17 421.6 \N 421.6 344.03 -61 2000-03-01 \N 411.33 421.6 411.33 -61 2000-04-22 600.2 \N 600.2 573.28 +61 2000-02-17 421.60 \N 421.60 344.03 +61 2000-03-01 \N 411.33 421.60 411.33 +61 2000-04-22 600.20 \N 600.20 573.28 71 2000-01-02 13.92 2.88 13.92 2.88 -85 2000-02-03 \N 42.3 65.5 42.3 -85 2000-02-16 \N 42.95 65.5 42.95 +85 2000-02-03 \N 42.30 65.50 42.30 +85 2000-02-16 \N 42.95 65.50 42.95 85 2000-04-19 335.16 \N 335.16 247.67 85 2000-04-23 \N 252.83 335.16 252.83 85 2000-05-02 \N 289.65 335.16 289.65 85 2000-05-11 \N 312.62 335.16 312.62 -86 2000-01-19 31.7 \N 31.7 25.97 +86 2000-01-19 31.70 \N 31.70 25.97 86 2000-02-03 151.26 \N 151.26 91.16 86 2000-02-04 \N 112.15 151.26 112.15 89 2000-01-12 \N 28.84 181.56 28.84 @@ -96,8 +96,8 @@ 89 2000-03-20 191.66 \N 191.66 172.85 89 2000-04-11 295.81 \N 295.81 172.85 89 2000-04-13 \N 203.86 295.81 203.86 -89 2000-04-20 373.3 \N 373.3 203.86 -89 2000-04-23 \N 219.74 373.3 219.74 -89 2000-04-26 \N 235.97 373.3 235.97 -89 2000-05-04 \N 248.05 373.3 248.05 +89 2000-04-20 373.30 \N 373.30 203.86 +89 2000-04-23 \N 219.74 373.30 219.74 +89 2000-04-26 \N 235.97 373.30 235.97 +89 2000-05-04 \N 248.05 373.30 248.05 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out index 97ed3690ea..7f4191386b 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q52.out @@ -1,6 +1,6 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q52 -- -2000 2001002 amalgimporto #2 133668.2 +2000 2001002 amalgimporto #2 133668.20 2000 1003001 exportiamalg #1 85038.62 2000 3002002 importoexporti #2 79104.47 2000 3004002 edu packexporti #2 78772.08 @@ -29,17 +29,17 @@ 2000 1001001 amalgamalg #1 31305.49 2000 4002001 importoedu pack #1 31248.26 2000 6005001 scholarcorp #1 30955.09 -2000 1004001 edu packamalg #1 30464.1 +2000 1004001 edu packamalg #1 30464.10 2000 7009004 maxibrand #4 29127.01 2000 10010013 univamalgamalg #13 29071.87 2000 6012008 importobrand #8 28799.91 2000 8005009 corpnameless #10 28231.03 2000 5003001 exportischolar #1 27336.64 -2000 5001001 brandunivamalg #11 26418.9 +2000 5001001 brandunivamalg #11 26418.90 2000 3001002 amalgexporti #2 25858.35 2000 4004001 edu packedu pack #1 25715.17 2000 7009009 exportibrand #10 25380.68 -2000 4004001 maxinameless #8 23992.4 +2000 4004001 maxinameless #8 23992.40 2000 10014001 maxibrand #4 23662.09 2000 10009015 maxiunivamalg #15 23576.97 2000 3003001 exportiedu pack #2 21959.63 @@ -59,7 +59,7 @@ 2000 2003001 exportiimporto #1 19074.52 2000 6008005 namelesscorp #5 19067.51 2000 3004001 edu packexporti #1 18504.78 -2000 5001001 exportinameless #8 18493 +2000 5001001 exportinameless #8 18493.00 2000 10003016 exportiunivamalg #16 18413.97 2000 3001001 maxibrand #8 18290.52 2000 8003007 edu packnameless #8 18265.99 @@ -87,11 +87,11 @@ 2000 9016003 corpunivamalg #3 12936.25 2000 6002004 importocorp #4 12491.48 2000 8004003 edu packnameless #3 12480.24 -2000 6011008 amalgbrand #8 12236 +2000 6011008 amalgbrand #8 12236.00 2000 6003008 exporticorp #8 11621.79 2000 8005008 scholarnameless #8 11609.84 2000 4001001 amalgedu pack #1 11110.78 -2000 7009010 maxibrand #10 11061 +2000 7009010 maxibrand #10 11061.00 2000 3004001 edu packscholar #2 11025.47 2000 7012001 amalgamalgamalg #2 10846.24 2000 7016009 univnameless #10 10454.42 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out index 18a95ef9dc..c3e4e5bdcd 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q53.out @@ -1,8 +1,8 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q53 -- -30 165.67 340.635 -30 247.07 340.635 -30 627.63 340.635 +30 165.67 340.63 +30 247.07 340.63 +30 627.63 340.63 619 158.76 348.64 619 210.81 348.64 619 464.26 348.64 @@ -12,92 +12,92 @@ 271 179.61 354.33 271 1071.58 354.33 827 82.44 356.59 -827 320.05 356.59 827 666.52 356.59 -296 188.61 369.125 -296 265.76 369.125 -296 655.24 369.125 -308 200.28 385.9825 -308 214.07 385.9825 -308 489.17 385.9825 -308 640.41 385.9825 -486 178.8 400.53 +296 188.61 369.12 +296 265.76 369.12 +296 655.24 369.12 +308 200.28 385.98 +308 214.07 385.98 +308 489.17 385.98 +308 640.41 385.98 +486 178.80 400.53 486 455.08 400.53 486 468.01 400.53 486 500.23 400.53 -554 191.48 407.975 -554 346.8 407.975 -554 660.97 407.975 -208 151.84 410.385 -208 207.02 410.385 -208 533.75 410.385 -208 748.93 410.385 -662 199.83 412.135 -662 300.61 412.135 -662 460.94 412.135 -662 687.16 412.135 -394 264.65 413.405 -394 272.02 413.405 -394 674.12 413.405 -221 183.63 416.0825 -221 534.62 416.0825 -221 552.44 416.0825 -621 232.2 418.115 -621 624.8 418.115 -507 76.98 419.465 -507 505.36 419.465 -507 644.24 419.465 -316 36.25 423.035 -316 158.85 423.035 -316 697.32 423.035 -316 799.72 423.035 -56 110.81 423.0975 -56 371.77 423.0975 -56 500.77 423.0975 -56 709.04 423.0975 -517 194.87 426.2875 -517 313.41 426.2875 -517 482.41 426.2875 -517 714.46 426.2875 -411 364.09 426.8925 -411 519.6 426.8925 -247 313.42 427.6825 -247 353.08 427.6825 -247 628.37 427.6825 -652 228.75 434.7525 -652 314.98 434.7525 -652 365.9 434.7525 -652 829.38 434.7525 -129 301.69 436.4525 -129 325.26 436.4525 -129 550.47 436.4525 -129 568.39 436.4525 -99 164.24 438.6675 -99 183.75 438.6675 -99 393.58 438.6675 -99 1013.1 438.6675 +554 191.48 407.97 +554 346.80 407.97 +554 660.97 407.97 +208 151.84 410.38 +208 207.02 410.38 +208 533.75 410.38 +208 748.93 410.38 +662 199.83 412.13 +662 300.61 412.13 +662 460.94 412.13 +662 687.16 412.13 +394 264.65 413.40 +394 272.02 413.40 +394 674.12 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6100.64 2633.95 3676.43 3130.51 Men amalgimporto #1 North Midwest 1999 1 6713.82 3268.58 13596.45 4098.03 -Women exportiamalg #1 NY Metro 1999 4 6031.0425 2588.6 3554.29 3915.46 -Men amalgimporto #1 NY Metro 1999 3 7082.129166667 3653.84 3392.25 3450.11 -Music edu packscholar #1 Mid Atlantic 1999 5 8223.719166667 4797.32 4091.54 5028.71 -Children exportiexporti #1 North Midwest 1999 6 7530.375 4104.53 4747.06 4586.73 -Women importoamalg #1 NY Metro 1999 4 6352.6825 2928.62 3718.55 3387.14 -Men edu packimporto #1 NY Metro 1999 2 7659.241666667 4246.37 4489.63 4759.01 -Shoes edu packedu pack #1 Mid Atlantic 1999 3 6578.785833333 3166.49 4213.93 4376.74 -Shoes amalgedu pack #1 North Midwest 1999 4 6829.956666667 3417.69 3722.75 4120.6 -Women exportiamalg #1 North Midwest 1999 3 6171.544166667 2760.78 3853.84 3125.47 -Men amalgimporto #1 Mid Atlantic 1999 2 6611.335833333 3203.24 3066.19 4613.61 -Men edu packimporto #1 North Midwest 1999 2 7852.6275 4465.92 4318.23 3737.23 -Women edu packamalg #1 Mid Atlantic 1999 3 6061.210833333 2674.89 3376.95 2522.22 -Music exportischolar #1 NY Metro 1999 6 7047.803333333 3667.6 3885.17 5088.7 -Children importoexporti #1 North Midwest 1999 3 6690.091666667 3310.89 3486.35 5014.28 -Music exportischolar #1 Mid Atlantic 1999 4 7243.994166667 3871.67 3617.09 4628.08 -Men importoimporto #1 North Midwest 1999 2 7640.491666667 4270.44 4931.98 4291.3 -Children exportiexporti #1 Mid Atlantic 1999 2 7245.285 3876.83 4799.92 3350.65 -Shoes exportiedu pack #1 North Midwest 1999 7 7045.164166667 3684.37 4372.2 8403.23 -Men importoimporto #1 North Midwest 1999 3 7640.491666667 4291.3 4270.44 3534.12 -Men amalgimporto #1 Mid Atlantic 1999 4 6611.335833333 3262.24 4613.61 4531.38 -Music amalgscholar #1 North Midwest 1999 6 6876.880833333 3528.8 2816.26 4750.85 +Women exportiamalg #1 NY Metro 1999 4 6031.04 2588.60 3554.29 3915.46 +Men amalgimporto #1 NY Metro 1999 3 7082.12 3653.84 3392.25 3450.11 +Music edu packscholar #1 Mid Atlantic 1999 5 8223.71 4797.32 4091.54 5028.71 +Children exportiexporti #1 North Midwest 1999 6 7530.37 4104.53 4747.06 4586.73 +Women importoamalg #1 NY Metro 1999 4 6352.68 2928.62 3718.55 3387.14 +Men edu packimporto #1 NY Metro 1999 2 7659.24 4246.37 4489.63 4759.01 +Shoes edu packedu pack #1 Mid Atlantic 1999 3 6578.78 3166.49 4213.93 4376.74 +Shoes amalgedu pack #1 North Midwest 1999 4 6829.95 3417.69 3722.75 4120.60 +Women exportiamalg #1 North Midwest 1999 3 6171.54 2760.78 3853.84 3125.47 +Men amalgimporto #1 Mid Atlantic 1999 2 6611.33 3203.24 3066.19 4613.61 +Men edu packimporto #1 North Midwest 1999 2 7852.62 4465.92 4318.23 3737.23 +Women edu packamalg #1 Mid Atlantic 1999 3 6061.21 2674.89 3376.95 2522.22 +Music exportischolar #1 NY Metro 1999 6 7047.80 3667.60 3885.17 5088.70 +Children importoexporti #1 North Midwest 1999 3 6690.09 3310.89 3486.35 5014.28 +Music exportischolar #1 Mid Atlantic 1999 4 7243.99 3871.67 3617.09 4628.08 +Men importoimporto #1 North Midwest 1999 2 7640.49 4270.44 4931.98 4291.30 +Children exportiexporti #1 Mid Atlantic 1999 2 7245.28 3876.83 4799.92 3350.65 +Shoes exportiedu pack #1 North Midwest 1999 7 7045.16 3684.37 4372.20 8403.23 +Men importoimporto #1 North Midwest 1999 3 7640.49 4291.30 4270.44 3534.12 +Men amalgimporto #1 Mid Atlantic 1999 4 6611.33 3262.24 4613.61 4531.38 +Music amalgscholar #1 North Midwest 1999 6 6876.88 3528.80 2816.26 4750.85 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out index c83e736233..6fe73aa755 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q58.out @@ -1,6 +1,6 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q58 -- -AAAAAAAACNGBAAAA 1900.150000000 11.14 1950.920000000 11.44 1829.520000000 10.73 1893.530000000 -AAAAAAAAIDOAAAAA 6605.220000000 11.57 6078.330000000 10.65 6338.250000000 11.10 6340.600000000 -AAAAAAAAJMFCAAAA 3608.520000000 11.45 3590.470000000 11.39 3305.820000000 10.48 3501.603333333 +AAAAAAAACNGBAAAA 1900.15 11.00 1950.92 11.00 1829.52 10.00 1893.53 +AAAAAAAAIDOAAAAA 6605.22 11.00 6078.33 10.00 6338.25 11.00 6340.60 +AAAAAAAAJMFCAAAA 3608.52 11.00 3590.47 11.00 3305.82 10.00 3501.60 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out index 0def0b7b61..f83081cd25 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q59.out @@ -1,103 +1,103 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q59 -- -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able 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0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5271 1.362651876 3.086395625 0.322088523 0.480423598 \N 0.759840693 1.845486168 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5272 1.096895728 0.758347616 0.680007251 0.987386123 \N 1.333547884 0.992338021 -able AAAAAAAACAAAAAAA 5273 1.197285051 1.027150754 0.474951913 0.632462934 \N 1.492328899 0.574005827 -able AAAAAAAACAAAAAAA 5273 1.197285051 1.027150754 0.474951913 0.632462934 \N 1.492328899 0.574005827 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5271 1.36 3.08 0.32 0.48 \N 0.75 1.84 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5272 1.09 0.75 0.68 0.98 \N 1.33 0.99 +able AAAAAAAACAAAAAAA 5273 1.19 1.02 0.47 0.63 \N 1.49 0.57 +able AAAAAAAACAAAAAAA 5273 1.19 1.02 0.47 0.63 \N 1.49 0.57 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out index 6b6a62add8..026adf666b 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q60.out @@ -14,27 +14,27 @@ AAAAAAAAABDEAAAA 5527.74 AAAAAAAAABFBAAAA 4953.67 AAAAAAAAABFEAAAA 12523.22 AAAAAAAAABHCAAAA 20093.49 -AAAAAAAAABIBAAAA 382.3 +AAAAAAAAABIBAAAA 382.30 AAAAAAAAABICAAAA 1271.62 AAAAAAAAABKCAAAA 7355.85 AAAAAAAAABLBAAAA 786.05 AAAAAAAAABNAAAAA 8385.94 AAAAAAAAACACAAAA 11564.85 AAAAAAAAACBEAAAA 13046.23 -AAAAAAAAACCDAAAA 14533.5 +AAAAAAAAACCDAAAA 14533.50 AAAAAAAAACDCAAAA 820.49 AAAAAAAAACLBAAAA 6761.17 AAAAAAAAACNCAAAA 19023.15 AAAAAAAAACODAAAA 7322.65 AAAAAAAAADACAAAA 4696.41 -AAAAAAAAADBAAAAA 988.8 +AAAAAAAAADBAAAAA 988.80 AAAAAAAAADDCAAAA 5661.21 AAAAAAAAADDEAAAA 1846.56 AAAAAAAAADEEAAAA 15327.48 AAAAAAAAADGEAAAA 4511.21 -AAAAAAAAADHDAAAA 27866.8 +AAAAAAAAADHDAAAA 27866.80 AAAAAAAAADICAAAA 15624.49 -AAAAAAAAADLCAAAA 399 +AAAAAAAAADLCAAAA 399.00 AAAAAAAAADNDAAAA 6403.89 AAAAAAAAADPCAAAA 4246.28 AAAAAAAAAEBAAAAA 1946.34 @@ -46,19 +46,19 @@ AAAAAAAAAEFCAAAA 62.04 AAAAAAAAAEGDAAAA 9547.35 AAAAAAAAAEIBAAAA 3804.21 AAAAAAAAAEICAAAA 7097.51 -AAAAAAAAAEKCAAAA 20954.4 +AAAAAAAAAEKCAAAA 20954.40 AAAAAAAAAEPDAAAA 2162.31 AAAAAAAAAFBEAAAA 10916.01 AAAAAAAAAFCDAAAA 14657.18 AAAAAAAAAFDCAAAA 794.73 AAAAAAAAAFFAAAAA 9979.09 AAAAAAAAAFHCAAAA 2060.61 -AAAAAAAAAFIAAAAA 705.6 +AAAAAAAAAFIAAAAA 705.60 AAAAAAAAAFJCAAAA 13594.18 AAAAAAAAAFMDAAAA 2354.86 AAAAAAAAAFNBAAAA 17475.06 AAAAAAAAAGBBAAAA 2052.41 -AAAAAAAAAGCCAAAA 8040.7 +AAAAAAAAAGCCAAAA 8040.70 AAAAAAAAAGCDAAAA 16455.28 AAAAAAAAAGDCAAAA 2495.73 AAAAAAAAAGDEAAAA 6750.35 @@ -66,8 +66,8 @@ AAAAAAAAAGFAAAAA 5985.82 AAAAAAAAAGHAAAAA 17532.15 AAAAAAAAAGHDAAAA 1220.67 AAAAAAAAAGJCAAAA 7564.93 -AAAAAAAAAGKAAAAA 14082.9 -AAAAAAAAAGKDAAAA 1891 +AAAAAAAAAGKAAAAA 14082.90 +AAAAAAAAAGKDAAAA 1891.00 AAAAAAAAAGNBAAAA 7856.78 AAAAAAAAAGOCAAAA 14920.31 AAAAAAAAAGPCAAAA 7986.28 @@ -77,10 +77,10 @@ AAAAAAAAAHHDAAAA 2491.48 AAAAAAAAAHJDAAAA 4056.95 AAAAAAAAAHMAAAAA 15866.43 AAAAAAAAAHNDAAAA 7289.53 -AAAAAAAAAIACAAAA 2603.3 +AAAAAAAAAIACAAAA 2603.30 AAAAAAAAAIBCAAAA 9.09 AAAAAAAAAIBEAAAA 6979.53 -AAAAAAAAAIDAAAAA 32.7 +AAAAAAAAAIDAAAAA 32.70 AAAAAAAAAIDCAAAA 15307.29 AAAAAAAAAIIAAAAA 11268.14 AAAAAAAAAIIDAAAA 6837.36 @@ -92,11 +92,11 @@ AAAAAAAAAIODAAAA 17489.85 AAAAAAAAAIPDAAAA 6096.92 AAAAAAAAAJAEAAAA 30169.62 AAAAAAAAAJCCAAAA 17608.54 -AAAAAAAAAJGBAAAA 14.1 +AAAAAAAAAJGBAAAA 14.10 AAAAAAAAAJJCAAAA 2763.55 AAAAAAAAAJMBAAAA 1013.43 -AAAAAAAAAJMCAAAA 12220 -AAAAAAAAAJNBAAAA 8076.7 +AAAAAAAAAJMCAAAA 12220.00 +AAAAAAAAAJNBAAAA 8076.70 AAAAAAAAAJODAAAA 5113.02 AAAAAAAAAKBAAAAA 2413.44 AAAAAAAAAKDAAAAA 15712.05 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out index ed756f5461..fb326844b2 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q61.out @@ -1,4 +1,4 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q61 -- -2894229.7 5493575.41 52.6838986 +2894229.70 5493575.41 52.6800 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out index 9f8a4267b9..d9fa1b7045 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q63.out @@ -1,103 +1,103 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q63 -- -1 189.04 531.919166667 -1 203.73 531.919166667 -1 355.17 531.919166667 -1 359.53 531.919166667 -1 365.84 531.919166667 -1 373.26 531.919166667 -1 430.03 531.919166667 -1 698.6 531.919166667 -1 909.18 531.919166667 -1 995.02 531.919166667 -1 998.95 531.919166667 -2 34.79 625.031666667 -2 143.64 625.031666667 -2 253.85 625.031666667 -2 359.05 625.031666667 -2 445.59 625.031666667 -2 499.99 625.031666667 -2 538.36 625.031666667 -2 780.07 625.031666667 -2 1487.82 625.031666667 -2 1660.48 625.031666667 -3 270.1 988.293333333 -3 367.94 988.293333333 -3 491.2 988.293333333 -3 529.42 988.293333333 -3 629.34 988.293333333 -3 757.7 988.293333333 -3 1161.47 988.293333333 -3 1234.3 988.293333333 -3 1251.01 988.293333333 -3 1522.49 988.293333333 -3 2624.04 988.293333333 -5 353.24 1169.4825 -5 581.28 1169.4825 -5 694.79 1169.4825 -5 696.66 1169.4825 -5 740.99 1169.4825 -5 890.86 1169.4825 -5 955.61 1169.4825 -5 1359.61 1169.4825 -5 1712.35 1169.4825 -5 1794.66 1169.4825 -5 2080.16 1169.4825 -5 2173.58 1169.4825 -6 644.61 1772.998333333 -6 851.23 1772.998333333 -6 868.62 1772.998333333 -6 1056.06 1772.998333333 -6 1150.4 1772.998333333 -6 1196.5 1772.998333333 -6 1551.15 1772.998333333 -6 2576.64 1772.998333333 -6 2875.54 1772.998333333 -6 3299.7 1772.998333333 -6 3309.13 1772.998333333 -7 638.3 1499.6575 -7 663.54 1499.6575 -7 779.65 1499.6575 -7 800.25 1499.6575 -7 811.54 1499.6575 -7 987.78 1499.6575 -7 1046.24 1499.6575 -7 1667.92 1499.6575 -7 2750.32 1499.6575 -7 2970.8 1499.6575 -7 3524 1499.6575 -8 803.53 1618.954166667 -8 819.18 1618.954166667 -8 933.76 1618.954166667 -8 944.19 1618.954166667 -8 1019.24 1618.954166667 -8 1159.06 1618.954166667 -8 1290.94 1618.954166667 -8 2168.17 1618.954166667 -8 2264.18 1618.954166667 -8 3033.41 1618.954166667 -8 3213.77 1618.954166667 -9 315.31 1509.9775 -9 559.82 1509.9775 -9 728.72 1509.9775 -9 784.15 1509.9775 -9 923.36 1509.9775 -9 933.68 1509.9775 -9 1239.49 1509.9775 -9 1848.85 1509.9775 -9 2172.04 1509.9775 -9 2178.07 1509.9775 -9 3165.98 1509.9775 -9 3270.26 1509.9775 -10 314.3 1125.259166667 -10 365.57 1125.259166667 -10 591.3 1125.259166667 -10 760.81 1125.259166667 -10 776.91 1125.259166667 -10 959.65 1125.259166667 -10 975.25 1125.259166667 -10 1294.2 1125.259166667 -10 1342.05 1125.259166667 -10 1914.64 1125.259166667 -10 3105.53 1125.259166667 +1 189.04 531.91 +1 203.73 531.91 +1 355.17 531.91 +1 359.53 531.91 +1 365.84 531.91 +1 373.26 531.91 +1 430.03 531.91 +1 698.60 531.91 +1 909.18 531.91 +1 995.02 531.91 +1 998.95 531.91 +2 34.79 625.03 +2 143.64 625.03 +2 253.85 625.03 +2 359.05 625.03 +2 445.59 625.03 +2 499.99 625.03 +2 538.36 625.03 +2 780.07 625.03 +2 1487.82 625.03 +2 1660.48 625.03 +3 270.10 988.29 +3 367.94 988.29 +3 491.20 988.29 +3 529.42 988.29 +3 629.34 988.29 +3 757.70 988.29 +3 1161.47 988.29 +3 1234.30 988.29 +3 1251.01 988.29 +3 1522.49 988.29 +3 2624.04 988.29 +5 353.24 1169.48 +5 581.28 1169.48 +5 694.79 1169.48 +5 696.66 1169.48 +5 740.99 1169.48 +5 890.86 1169.48 +5 955.61 1169.48 +5 1359.61 1169.48 +5 1712.35 1169.48 +5 1794.66 1169.48 +5 2080.16 1169.48 +5 2173.58 1169.48 +6 644.61 1772.99 +6 851.23 1772.99 +6 868.62 1772.99 +6 1056.06 1772.99 +6 1150.40 1772.99 +6 1196.50 1772.99 +6 1551.15 1772.99 +6 2576.64 1772.99 +6 2875.54 1772.99 +6 3299.70 1772.99 +6 3309.13 1772.99 +7 638.30 1499.65 +7 663.54 1499.65 +7 779.65 1499.65 +7 800.25 1499.65 +7 811.54 1499.65 +7 987.78 1499.65 +7 1046.24 1499.65 +7 1667.92 1499.65 +7 2750.32 1499.65 +7 2970.80 1499.65 +7 3524.00 1499.65 +8 803.53 1618.95 +8 819.18 1618.95 +8 933.76 1618.95 +8 944.19 1618.95 +8 1019.24 1618.95 +8 1159.06 1618.95 +8 1290.94 1618.95 +8 2168.17 1618.95 +8 2264.18 1618.95 +8 3033.41 1618.95 +8 3213.77 1618.95 +9 315.31 1509.97 +9 559.82 1509.97 +9 728.72 1509.97 +9 784.15 1509.97 +9 923.36 1509.97 +9 933.68 1509.97 +9 1239.49 1509.97 +9 1848.85 1509.97 +9 2172.04 1509.97 +9 2178.07 1509.97 +9 3165.98 1509.97 +9 3270.26 1509.97 +10 314.30 1125.25 +10 365.57 1125.25 +10 591.30 1125.25 +10 760.81 1125.25 +10 776.91 1125.25 +10 959.65 1125.25 +10 975.25 1125.25 +10 1294.20 1125.25 +10 1342.05 1125.25 +10 1914.64 1125.25 +10 3105.53 1125.25 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out index 2b38bd4157..c76ef75049 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q64.out @@ -1,13 +1,13 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q64 -- -n stableableantiought able 31904 987 Hillcrest Fairbanks 46653 216 3rd Reno 40344 1999 1 55.42 80.91 954.53 59.08 76.8 0 2000 1 -n stableableantiought ation 31904 425 Green Enterprise 11757 772 Valley 1999 1 16.24 25.17 0 7.92 11.8 0 2000 1 -n stableableantiought ation 31904 425 Green Enterprise 11757 772 Valley 1999 1 16.24 25.17 0 44.27 58.43 0 2000 1 -n stableableantiought ation 31904 316 Valley Tenth Pine Grove 74593 806 Wilson Main Jackson 59583 1999 1 49.63 78.41 14.22 7.92 11.8 0 2000 1 -n stableableantiought ation 31904 316 Valley Tenth Pine Grove 74593 806 Wilson Main Jackson 59583 1999 1 49.63 78.41 14.22 44.27 58.43 0 2000 1 -n stableableantiought ation 31904 173 Park Maple Sulphur Springs 68354 232 Franklin Fairfield 66192 1999 1 60.78 85.09 0 7.92 11.8 0 2000 1 -n stableableantiought ation 31904 173 Park Maple Sulphur Springs 68354 232 Franklin Fairfield 66192 1999 1 60.78 85.09 0 44.27 58.43 0 2000 1 -n stableableantiought eing 35709 928 First Oak Summit 40499 178 Johnson Hillcrest Oakdale 59584 1999 1 63.82 121.25 0 10.25 12.09 0 2000 1 -n stableableantiought eing 35709 928 First Oak Summit 40499 178 Johnson Hillcrest Oakdale 59584 1999 1 63.82 121.25 0 30.28 49.65 0 2000 1 -n stableableantiought eing 35709 928 First Oak Summit 40499 178 Johnson Hillcrest Oakdale 59584 1999 1 63.82 121.25 0 58.19 85.53 0 2000 1 +n stableableantiought able 31904 987 Hillcrest Fairbanks 46653 216 3rd Reno 40344 1999 1 55.42 80.91 954.53 59.08 76.80 0.00 2000 1 +n stableableantiought ation 31904 425 Green Enterprise 11757 772 Valley 1999 1 16.24 25.17 0.00 7.92 11.80 0.00 2000 1 +n stableableantiought ation 31904 425 Green Enterprise 11757 772 Valley 1999 1 16.24 25.17 0.00 44.27 58.43 0.00 2000 1 +n stableableantiought ation 31904 316 Valley Tenth Pine Grove 74593 806 Wilson Main Jackson 59583 1999 1 49.63 78.41 14.22 7.92 11.80 0.00 2000 1 +n stableableantiought ation 31904 316 Valley Tenth Pine Grove 74593 806 Wilson Main Jackson 59583 1999 1 49.63 78.41 14.22 44.27 58.43 0.00 2000 1 +n stableableantiought ation 31904 173 Park Maple Sulphur Springs 68354 232 Franklin Fairfield 66192 1999 1 60.78 85.09 0.00 7.92 11.80 0.00 2000 1 +n stableableantiought ation 31904 173 Park Maple Sulphur Springs 68354 232 Franklin Fairfield 66192 1999 1 60.78 85.09 0.00 44.27 58.43 0.00 2000 1 +n stableableantiought eing 35709 928 First Oak Summit 40499 178 Johnson Hillcrest Oakdale 59584 1999 1 63.82 121.25 0.00 10.25 12.09 0.00 2000 1 +n stableableantiought eing 35709 928 First Oak Summit 40499 178 Johnson Hillcrest Oakdale 59584 1999 1 63.82 121.25 0.00 30.28 49.65 0.00 2000 1 +n stableableantiought eing 35709 928 First Oak Summit 40499 178 Johnson Hillcrest Oakdale 59584 1999 1 63.82 121.25 0.00 58.19 85.53 0.00 2000 1 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out index c422815805..0988f07227 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q65.out @@ -4,11 +4,11 @@ able Commercial, popular processes give later now wooden facts. Black, outer pur able Conventional, responsible products discuss delicately then actual findings. Extremel 36.42 3.67 2.82 namelessnameless #5 able Difficulties wou 25.25 6.61 2.31 importobrand #7 able Efforts might come ever. Even agricultural operations live plus a members. Arts may ring too carefully numerous windows. In particular new ch 22.13 1.49 0.95 edu packamalg #2 -able Even chief games can present privately extra whole steps. Over old reasons ought to 21.58 4.3 1.41 namelesscorp #3 +able Even chief games can present privately extra whole steps. Over old reasons ought to 21.58 4.30 1.41 namelesscorp #3 able Initial, important ministers used to rely. Young, difficult glasses cannot say european, religious organisations; worried minutes protect action 11.03 4.95 3.06 scholarnameless #7 able Once olympic sorts could control governments. Final sections mig 21.77 7.76 4.42 edu packscholar #1 -able Small others will provide probably complete countries. Only effective pensions violate on board maybe left animals. Old r 26.38 2.55 1.6 maxiunivamalg #2 -able Somehow revolutionary sh 31.09 7.1 3.05 amalgunivamalg #3 +able Small others will provide probably complete countries. Only effective pensions violate on board maybe left animals. Old r 26.38 2.55 1.60 maxiunivamalg #2 +able Somehow revolutionary sh 31.09 7.10 3.05 amalgunivamalg #3 able Stupid years should not modify loose. Special, sure developments may 7.84 5.81 4.47 maxicorp #5 able Swiss, capable lovers handle at least present details. Over here uncomfortable stations take by a lips. Private organisations can supply in a examinatio 29.73 8.15 3.99 amalgedu pack #2 able Toys must not meet again goods. Comfortable, major members last days. Popular, double occupations may compensate researchers. Conditions 25.02 3.35 2.41 edu packscholar #1 @@ -17,18 +17,18 @@ ation Animals conduct primary, sorry tickets. Bare, labour matters used to buy b ation Average services could try unfortunately plants; extensive procedures must 34.63 4.94 3.26 scholarunivamalg #2 ation Direct ways topple inches. Complex years can take also across a words. Stupid, global implications would provide sure things. Russians take much for the spots. Indoors local men w 16.06 7.18 4.88 exportiedu pack #1 ation Disciplinary signs could prepare particular, other councils. Live criteria ought to stand extra, basic bones. Local leaders tell now tasks. Most old recordings use ago in the governors; par 36.65 8.96 4.39 amalgscholar #2 -ation Fair families ought to leave relationships. Separate, firm services would assist delicious, serious laws; a 15.31 7.51 2.7 importoamalg #1 -ation Gradually general affairs come at a gardens. Members may liv 18.43 28.9 11.27 edu packamalgamalg #15 +ation Fair families ought to leave relationships. Separate, firm services would assist delicious, serious laws; a 15.31 7.51 2.70 importoamalg #1 +ation Gradually general affairs come at a gardens. Members may liv 18.43 28.90 11.27 edu packamalgamalg #15 ation Here equivalent expectations should stop since to th 18.23 7.88 5.04 scholarunivamalg #4 ation Laws propose policies. Commercial, foreign restaurants could take. District 29.49 84.97 32.28 amalgnameless #5 -ation New r 36.57 2.1 1.19 importoimporto #2 +ation New r 36.57 2.10 1.19 importoimporto #2 ation Officials calculate in the images. Military, olympic services throw apparently old photographs; exotic, wonderful children benefit 25.41 9.36 3.55 maxibrand #9 ation Open blue farmers reach useful, old arrangements. American, short years reach now tender, heavy neighbours. Now top boundaries would not enable emotions. Effectively specific 28.75 2.34 2.01 exportinameless #7 -ation Or 23.64 3 1.86 amalgedu pack #1 +ation Or 23.64 3.00 1.86 amalgedu pack #1 ation Pensions used to meet in the words. Very african obligati 27.27 0.54 0.27 exportiexporti #1 -ation Public, limited pup 34.6 9.38 3.93 amalgmaxi #9 -ation Small kinds would recognize notably violent, labour years. Electronic days would not 30.96 0.9 0.34 namelesscorp #3 -ation Social, other resources may know reasonable, distant weeks. New, unexpected rates mean. White, electric generations carry together other t 36.1 3.91 2.54 maxinameless #10 +ation Public, limited pup 34.60 9.38 3.93 amalgmaxi #9 +ation Small kinds would recognize notably violent, labour years. Electronic days would not 30.96 0.90 0.34 namelesscorp #3 +ation Social, other resources may know reasonable, distant weeks. New, unexpected rates mean. White, electric generations carry together other t 36.10 3.91 2.54 maxinameless #10 ation Trustees grow well thereby national attitudes. Social, excellent bacteria contain permanent gaps. Only dynamic uses ought to halt very long, bright men; japanese, distin 3.96 3.31 2.87 exporticorp #1 bar Categories shall 18.32 8.98 7.81 scholarmaxi #9 bar Clear, top associations can activate all national factors. Items could think sure skills. Fine, thin classes must not help simply only statutory 28.26 6.27 4.57 brandbrand #10 @@ -40,7 +40,7 @@ bar Minutes achieve however for a allies. Areas pay apparently alive officers 32 bar Moments incur pa 32.92 6.14 1.84 exportiimporto #1 bar Of course commercial uses look rapidly historical societies. Writers make just high 31.29 3.82 1.33 exportischolar #1 bar Old, valuable 23.07 0.23 0.07 namelessnameless #9 -bar Other things get now. Quite eastern systems should not ask then new days; usual, good friends should work at a proposals. Highly pr 24.9 0.27 0.09 edu packnameless #1 +bar Other things get now. Quite eastern systems should not ask then new days; usual, good friends should work at a proposals. Highly pr 24.90 0.27 0.09 edu packnameless #1 bar Pupils change. Frequently nice rates shall not decide future yards. Over upper girls ought to lower in a developments. Formal 36.24 2.19 1.16 edu packexporti #1 bar Really foreign workers overcome asleep, young decades. Drugs may tell children; labour, real wages ev 13.88 4.24 2.96 scholarmaxi #9 bar Round managers take processes. Primary, particular courses used to hold sacred cases. C 7.23 4.13 2.84 edu packscholar #1 @@ -52,21 +52,21 @@ bar Wide, technical paren 17.06 6.64 3.98 exportiexporti #1 bar Wonderful servants must not resolve once physical lives. Later significant an 27.44 0.33 0.22 brandbrand #7 bar Years need much. Good interests use too different, junior services. Young items shall not find. Disastrous hands release fast new, alternative applications. American police make in 33.95 7.68 4.45 exportiamalg #1 eing Birds stay foreign, chronic parts. So young cases shall not conclude buildings. About important months may not look; degrees catch just; other societies may not ge 18.42 4.67 2.33 amalgscholar #2 -eing Central, other hands will agree especially crucial differences 16.71 4.49 3 exportischolar #2 +eing Central, other hands will agree especially crucial differences 16.71 4.49 3.00 exportischolar #2 eing Even single waters make for instance particular hours. Mental rights may cross as just contemporary m 30.54 0.97 0.82 importounivamalg #5 -eing Flowers cultivate still so-called, available 10.5 3.84 1.22 edu packmaxi #8 +eing Flowers cultivate still so-called, available 10.50 3.84 1.22 edu packmaxi #8 eing Good, helpful men close. Please difficult lakes should waste very conservative, labour 11.84 3.13 0.97 edu packbrand #8 eing However modern companies ought to make industria 23.09 9.56 3.25 brandcorp #1 eing Important, frequent councils explore general, local ideas. Representatives last more. Foreign, sensible pupils pay. Social, american reservations used to get so much 2.86 0.59 0.25 amalgbrand #2 -eing Increased, special pound 24.05 2.52 1.2 importoedu pack #2 +eing Increased, special pound 24.05 2.52 1.20 importoedu pack #2 eing Laws go shortly british, clear carers. Inner, available aspirations ought to abolish most armed strings. Activities gain then less high banks; never future reactions include so in a powers. Popular, 30.53 9.69 7.46 edu packmaxi #8 eing Main pupils could expel followers. Sometimes severe horses should keep largely earnings. Years put recently permanent inst 19.15 9.17 6.05 maxinameless #2 -eing More different attempts replace. Changes look shoes. E 25.75 2.47 1.4 amalgexporti #1 +eing More different attempts replace. Changes look shoes. E 25.75 2.47 1.40 amalgexporti #1 eing Nations save further new complaints. Perfect things murder different odds. General firms will like also; fatal grounds lie however working sorts. However internal police should design 23.32 8.09 3.31 amalgexporti #1 eing Ordinary orders can inspect. New int 34.66 9.58 3.92 exportiedu pack #2 eing Other, eager christians live very others. Young, financ 8.49 8.22 5.01 edu packscholar #1 eing Parliamentary guests could not convey real chiefs; integrated, full responsibilities take later then important categories. T 28.83 0.41 0.13 edu packamalg #1 -eing Physical polls melt as eyes. Clear, special sources might invent at once. As immediate things will not 24.71 3.77 1.8 edu packamalg #2 +eing Physical polls melt as eyes. Clear, special sources might invent at once. As immediate things will not 24.71 3.77 1.80 edu packamalg #2 eing Specifically honest pp. would ensure wide for a miles. Different families put then western, certain children. Only exciting commitments say f 10.89 0.51 0.26 edu packunivamalg #11 eing Students help factors. Seats take matters; likely sources make ridiculous children. Police might say then just natural characters. A 9.32 1.15 0.62 exportischolar #1 eing Tired days used to admit for a customs 29.84 5.94 4.93 importoamalg #1 @@ -78,22 +78,22 @@ ese Civil firms say; prospective technologies used to take there. Easy, high ass ese Comfortable experiments hit defensive implications. Bad resources would not heal central, national twins. Kind, modern thoughts shall ensure home short 34.17 92.12 71.85 importoedu pack #1 ese Companies find financially substances. National, enormous conclusions might object here firms; exactly different jobs should complete; practices encourage really months. Necessary, previous recor 24.08 5.63 3.71 importoamalgamalg #5 ese Democrats follow mostly available, 25.69 0.59 0.47 exportibrand #2 -ese Excellent, real advantages would exist posts. Activities shall continue in a feet. Effects think only confidently local c 25.63 2.41 1.9 amalgunivamalg #11 +ese Excellent, real advantages would exist posts. Activities shall continue in a feet. Effects think only confidently local c 25.63 2.41 1.90 amalgunivamalg #11 ese Expensive reasons shall not carry hardly ri 19.68 4.59 1.46 scholarbrand #1 -ese Fresh, industrial vegetables could proceed quite i 29.7 7.16 2.57 scholarunivamalg #8 +ese Fresh, industrial vegetables could proceed quite i 29.70 7.16 2.57 scholarunivamalg #8 ese Full rules may persuade pregnant cars. Earnings publish worried symptoms. Ready 36.87 5.88 4.99 amalgimporto #1 ese Horses last results. There thorough parents sail everywhere into a gua 23.67 3.45 2.55 scholarnameless #5 ese Large businessmen might give successful poles; children believe however. Hard, fine companies must not dismiss likely advantages. Now great nations shall not walk to 2.78 3.48 1.07 brandcorp #6 -ese Modern areas include indeed political children. White, widespread services attend also. Pink boundaries explain early because of a letters. Often assistant men make never pale windows. Then inte 30.08 6.2 4.21 exportiedu pack #2 -ese Nowhere sure shops ought to constitute by a conditions. Apparent hands shall not fit slightly general men. Oth 26.2 3.59 3.08 amalgscholar #1 +ese Modern areas include indeed political children. White, widespread services attend also. Pink boundaries explain early because of a letters. Often assistant men make never pale windows. Then inte 30.08 6.20 4.21 exportiedu pack #2 +ese Nowhere sure shops ought to constitute by a conditions. Apparent hands shall not fit slightly general men. Oth 26.20 3.59 3.08 amalgscholar #1 ese Political, french streets used to introduce just labour 21.21 1.59 1.38 edu packunivamalg #9 -ese Publications could not judge; double deputies 35.52 6.3 2.39 edu packamalg #1 +ese Publications could not judge; double deputies 35.52 6.30 2.39 edu packamalg #1 ese Reasonably direct interests turn. Certainly existing 12.36 1.86 0.89 importoscholar #1 -ese Temperatures reflect quite 34.31 0.9 0.45 scholarnameless #3 +ese Temperatures reflect quite 34.31 0.90 0.45 scholarnameless #3 ese Tests will maintain only. Beautifully local banks make still; particular votes protect during a eyes. Contracts must understand primarily. Difficult countries cast in a 19.06 4.13 2.68 edu packimporto #1 -ese Totally pure styles would seek charges; values say. Normal, big activi 30.4 1.07 0.84 maxiunivamalg #5 +ese Totally pure styles would seek charges; values say. Normal, big activi 30.40 1.07 0.84 maxiunivamalg #5 ese Years want as a whole. Public eyes shall win against a books. Special minutes intensify stones. Alone, right fingers spring men. Ho 32.52 1.73 0.77 exportibrand #5 -ought Active abilities depend smoothly by a 30.54 2.4 1.44 importoexporti #1 +ought Active abilities depend smoothly by a 30.54 2.40 1.44 importoexporti #1 ought Additional, terrible characters shall examine. Ago lexical conditions get into a weeks. Barely trying results perform still hot men. Great kinds end also committees. Police should live only on the 18.54 4.46 1.33 corpmaxi #11 ought At last political managers would get new, historic workers. Requirements seem loose shadows; activities carry favorite mothers; likely issues stand aside environmental, current funds; below 6.48 1.08 0.43 exportiexporti #1 ought Authorities used to leave exactly other co 15.13 2.14 0.72 exporticorp #5 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out index 82e51d6345..dc2ebe3604 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q66.out @@ -1,8 +1,8 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q66 -- - \N Fairview Williamson County TN United States DHL,BARIAN 2001 9597806.95 11121820.57 8670867.91 8994786.04 10887248.09 14187671.36 9732598.41 19798897.07 21007842.34 21495513.67 34795669.17 33122997.94 \N \N \N \N \N \N \N \N \N \N \N \N 21913594.59 32518476.51 24885662.72 25698343.86 33735910.61 35527031.58 25465193.48 53623238.66 51409986.76 54159173.9 92227043.25 83435390.84 -Bad cards must make. 621234 Fairview Williamson County TN United States DHL,BARIAN 2001 9506753.46 8008140.33 6116769.63 11973045.15 7756254.92 5352978.49 13733996.1 16418794.37 17212743.32 17042707.41 34304935.61 35324164.21 15.303015386 12.890698722 9.846160433 19.273003651 12.485238928 8.616686289 22.107605347 26.429323524 27.707342676 27.433635973 55.220634431 56.861286102 30534943.77 24481685.94 22178710.81 25695798.18 29954903.78 18084140.05 30805576.13 47156887.22 51158588.86 55759942.8 86253544.16 83451555.63 -Conventional childr 977787 Fairview Williamson County TN United States DHL,BARIAN 2001 8860645.55 14415813.74 6761497.23 11820654.76 8246260.69 6636877.49 11434492.25 25673812.14 23074206.96 21834581.94 26894900.53 33575091.74 9.061938387 14.743306814 6.9151024 12.089191982 8.433596161 6.787651595 11.694256776 26.257060219 23.598398179 22.33061182 27.505888839 34.337838139 23836085.83 32073313.37 25037904.18 22659895.86 21757401.03 24451608.1 21933001.85 55996703.43 57371880.44 62087214.51 82849910.15 88970319.31 -Doors canno 294242 Fairview Williamson County TN United States DHL,BARIAN 2001 6355232.31 10198920.36 10246200.97 12209716.5 8566998.28 8806316.81 9789405.6 16466584.88 26443785.61 27016047.8 33660589.67 27462468.62 21.598657942 34.661674268 34.822360404 41.495491806 29.115484125 29.928823248 33.269912521 55.962727551 89.870873669 91.815742824 114.397637556 93.332932144 22645143.09 24487254.6 24925759.42 30503655.27 26558160.29 20976233.52 29895796.09 56002198.38 53488158.53 76287235.46 82483747.59 88088266.69 -Important issues liv 138504 Fairview Williamson County TN United States DHL,BARIAN 2001 11748784.55 14351305.77 9896470.93 7990874.78 8879247.9 7362383.09 10011144.75 17741201.32 21346976.05 18074978.16 29675125.64 32545325.29 84.826319456 103.61654371 71.452600141 57.69418053 64.10824164 53.156465445 72.280546049 128.091616993 154.125339701 130.501488477 214.254647086 234.977511768 27204167.15 25980378.13 19943398.93 25710421.13 19484481.03 26346611.48 25075158.43 54094778.13 41066732.11 54547058.28 72465962.92 92770328.27 + \N Fairview Williamson County TN United States DHL,BARIAN 2001 9597806.95 11121820.57 8670867.91 8994786.04 10887248.09 14187671.36 9732598.41 19798897.07 21007842.34 21495513.67 34795669.17 33122997.94 \N \N \N \N \N \N \N \N \N \N \N \N 21913594.59 32518476.51 24885662.72 25698343.86 33735910.61 35527031.58 25465193.48 53623238.66 51409986.76 54159173.90 92227043.25 83435390.84 +Bad cards must make. 621234 Fairview Williamson County TN United States DHL,BARIAN 2001 9506753.46 8008140.33 6116769.63 11973045.15 7756254.92 5352978.49 13733996.10 16418794.37 17212743.32 17042707.41 34304935.61 35324164.21 15.30 12.88 9.83 19.26 12.47 8.61 22.10 26.42 27.70 27.42 55.21 56.85 30534943.77 24481685.94 22178710.81 25695798.18 29954903.78 18084140.05 30805576.13 47156887.22 51158588.86 55759942.80 86253544.16 83451555.63 +Conventional childr 977787 Fairview Williamson County TN United States DHL,BARIAN 2001 8860645.55 14415813.74 6761497.23 11820654.76 8246260.69 6636877.49 11434492.25 25673812.14 23074206.96 21834581.94 26894900.53 33575091.74 9.05 14.73 6.90 12.08 8.43 6.78 11.69 26.25 23.58 22.32 27.50 34.33 23836085.83 32073313.37 25037904.18 22659895.86 21757401.03 24451608.10 21933001.85 55996703.43 57371880.44 62087214.51 82849910.15 88970319.31 +Doors canno 294242 Fairview Williamson County TN United States DHL,BARIAN 2001 6355232.31 10198920.36 10246200.97 12209716.50 8566998.28 8806316.81 9789405.60 16466584.88 26443785.61 27016047.80 33660589.67 27462468.62 21.58 34.65 34.81 41.49 29.10 29.91 33.26 55.95 89.86 91.81 114.38 93.32 22645143.09 24487254.60 24925759.42 30503655.27 26558160.29 20976233.52 29895796.09 56002198.38 53488158.53 76287235.46 82483747.59 88088266.69 +Important issues liv 138504 Fairview Williamson County TN United States DHL,BARIAN 2001 11748784.55 14351305.77 9896470.93 7990874.78 8879247.90 7362383.09 10011144.75 17741201.32 21346976.05 18074978.16 29675125.64 32545325.29 84.81 103.61 71.45 57.69 64.10 53.15 72.27 128.08 154.12 130.49 214.25 234.97 27204167.15 25980378.13 19943398.93 25710421.13 19484481.03 26346611.48 25075158.43 54094778.13 41066732.11 54547058.28 72465962.92 92770328.27 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q67.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q67.out index de7ae88620..c4cb47b666 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q67.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q67.out @@ -2,7 +2,7 @@ -- !q67 -- \N \N \N \N \N \N \N \N 3113996.92 2 \N \N \N \N \N \N \N \N 1019789218.69 1 -\N \N \N \N \N \N \N 1628997 3 +\N \N \N \N \N \N \N 1628997.00 3 \N \N \N \N \N \N 596191.74 4 \N \N \N \N \N 102328.59 62 \N 2000 \N \N \N 102328.59 62 @@ -13,8 +13,8 @@ \N barationableeing \N \N \N \N 133715.91 25 \N barationableeing 2000 \N \N \N 133715.91 25 \N barationableeing 2000 4 \N \N 66366.69 100 -\N eingcallyoughteing \N \N \N \N 100229.5 67 -\N eingcallyoughteing 2000 \N \N \N 100229.5 67 +\N eingcallyoughteing \N \N \N \N 100229.50 67 +\N eingcallyoughteing 2000 \N \N \N 100229.50 67 \N brandmaxi #2 \N \N \N \N \N 102830.03 59 \N brandmaxi #2 oughteingought \N \N \N \N 102830.03 59 \N brandmaxi #2 oughteingought 2000 \N \N \N 102830.03 59 @@ -24,9 +24,9 @@ \N edu packamalg #2 \N \N \N \N \N 106947.83 48 \N edu packamalg #2 oughtn stn stese \N \N \N \N 106947.83 48 \N edu packamalg #2 oughtn stn stese 2000 \N \N \N 106947.83 48 -\N edu packamalgamalg #17 \N \N \N \N \N 91126.7 77 -\N edu packamalgamalg #17 \N \N \N \N 91126.7 77 -\N edu packamalgamalg #17 2000 \N \N \N 91126.7 77 +\N edu packamalgamalg #17 \N \N \N \N \N 91126.70 77 +\N edu packamalgamalg #17 \N \N \N \N 91126.70 77 +\N edu packamalgamalg #17 2000 \N \N \N 91126.70 77 \N edu packexporti #1 \N \N \N \N \N 163163.84 6 \N edu packexporti #1 \N \N \N \N 163163.84 6 \N edu packexporti #1 2000 \N \N \N 163163.84 6 @@ -41,41 +41,41 @@ \N namelesscorp #1 \N \N \N \N \N 148627.34 12 \N namelesscorp #1 \N \N \N \N 148627.34 12 \N namelesscorp #1 2000 \N \N \N 148627.34 12 -\N namelesscorp #1 2000 4 \N \N 67371.6 98 +\N namelesscorp #1 2000 4 \N \N 67371.60 98 \N archery \N \N \N \N \N \N 110088.99 44 \N archery amalgmaxi #6 \N \N \N \N \N 110088.99 44 \N archery amalgmaxi #6 antioughtn stought \N \N \N \N 110088.99 44 \N archery amalgmaxi #6 antioughtn stought 2000 \N \N \N 110088.99 44 -\N baseball \N \N \N \N \N \N 93607.1 73 -\N baseball \N \N \N \N \N 93607.1 73 -\N baseball \N \N \N \N 93607.1 73 -\N baseball 2000 \N \N \N 93607.1 73 -\N dresses \N \N \N \N \N \N 138018.8 17 -\N dresses \N \N \N \N \N 138018.8 17 -\N dresses antieseoughtcally \N \N \N \N 138018.8 17 -\N dresses antieseoughtcally 2000 \N \N \N 138018.8 17 -\N dresses antieseoughtcally 2000 4 \N \N 69138.8 96 +\N baseball \N \N \N \N \N \N 93607.10 73 +\N baseball \N \N \N \N \N 93607.10 73 +\N baseball \N \N \N \N 93607.10 73 +\N baseball 2000 \N \N \N 93607.10 73 +\N dresses \N \N \N \N \N \N 138018.80 17 +\N dresses \N \N \N \N \N 138018.80 17 +\N dresses antieseoughtcally \N \N \N \N 138018.80 17 +\N dresses antieseoughtcally 2000 \N \N \N 138018.80 17 +\N dresses antieseoughtcally 2000 4 \N \N 69138.80 96 \N flatware \N \N \N \N \N \N 74808.21 86 \N flatware \N \N \N \N \N 74808.21 86 \N flatware oughteingationn st \N \N \N \N 74808.21 86 \N flatware oughteingationn st 2000 \N \N \N 74808.21 86 -\N glassware \N \N \N \N \N \N 98111.3 69 -\N glassware \N \N \N \N \N 98111.3 69 -\N glassware \N \N \N \N 98111.3 69 -\N glassware 2000 \N \N \N 98111.3 69 -\N outdoor \N \N \N \N \N \N 115448.6 40 -\N outdoor namelessnameless #3 \N \N \N \N \N 115448.6 40 -\N outdoor namelessnameless #3 \N \N \N \N 115448.6 40 -\N outdoor namelessnameless #3 2000 \N \N \N 115448.6 40 +\N glassware \N \N \N \N \N \N 98111.30 69 +\N glassware \N \N \N \N \N 98111.30 69 +\N glassware \N \N \N \N 98111.30 69 +\N glassware 2000 \N \N \N 98111.30 69 +\N outdoor \N \N \N \N \N \N 115448.60 40 +\N outdoor namelessnameless #3 \N \N \N \N \N 115448.60 40 +\N outdoor namelessnameless #3 \N \N \N \N 115448.60 40 +\N outdoor namelessnameless #3 2000 \N \N \N 115448.60 40 \N pants \N \N \N \N \N \N 135855.95 21 \N pants exportiimporto #2 \N \N \N \N \N 135855.95 21 \N pants exportiimporto #2 antibarableableought \N \N \N \N 135855.95 21 \N pants exportiimporto #2 antibarableableought 2000 \N \N \N 135855.95 21 -\N pants exportiimporto #2 antibarableableought 2000 4 \N \N 66808 99 -\N scanners \N \N \N \N \N \N 118366.6 34 -\N scanners namelessunivamalg #10 \N \N \N \N \N 118366.6 34 -\N scanners namelessunivamalg #10 n stbaresepri \N \N \N \N 118366.6 34 -\N scanners namelessunivamalg #10 n stbaresepri 2000 \N \N \N 118366.6 34 +\N pants exportiimporto #2 antibarableableought 2000 4 \N \N 66808.00 99 +\N scanners \N \N \N \N \N \N 118366.60 34 +\N scanners namelessunivamalg #10 \N \N \N \N \N 118366.60 34 +\N scanners namelessunivamalg #10 n stbaresepri \N \N \N \N 118366.60 34 +\N scanners namelessunivamalg #10 n stbaresepri 2000 \N \N \N 118366.60 34 \N scanners namelessunivamalg #10 n stbaresepri 2000 4 \N \N 70357.97 95 \N semi-precious \N \N \N \N \N \N 105040.42 51 \N semi-precious amalgbrand #4 \N \N \N \N \N 105040.42 51 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out index 43f74329cf..4c0a261418 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q68.out @@ -1,25 +1,25 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q68 -- Unionville Woodlawn 70 14472.01 383.45 27139.95 - Midway Oakwood 11488 13314.57 425.7 30008.53 + Midway Oakwood 11488 13314.57 425.70 30008.53 Michael Oak Grove 15164 21737.79 924.75 43426.33 Rene Caledonia Stringtown 16638 20732.47 915.66 38600.63 John Parkwood Edgewood 24159 24087.46 1200.55 51305.29 Ana Deerfield Jamestown 26329 37277.21 1346.72 65078.34 Kent Wilson Mountain View 27855 34594.01 1145.23 61220.01 Rene Caledonia Spring Valley 30016 48048.11 1969.99 88469.89 - Clinton Redland 36631 20981.79 1799.58 26288.3 + Clinton Redland 36631 20981.79 1799.58 26288.30 Donna Oak Hill Sulphur Springs 36870 25603.09 1331.75 53982.97 - Sunnyside Newtown 40831 22656.49 1011.26 54581.8 - Karen Greenfield Friendship 40841 15048.5 678 45109.61 + Sunnyside Newtown 40831 22656.49 1011.26 54581.80 + Karen Greenfield Friendship 40841 15048.50 678.00 45109.61 Salem 43618 22846.68 794.43 43131.47 Shiloh Oakland 46266 25416.89 1427.81 45735.58 Joshua Lakeside Highland Park 46736 29566.29 1020.12 55274.62 - Newport Bunker Hill 47193 37645.73 1195.2 72749.99 + Newport Bunker Hill 47193 37645.73 1195.20 72749.99 Guilford Wildwood 49651 14471.24 513.47 32498.08 Leon Five Points 50330 18970.87 926.99 49138.72 Salem Mount Pleasant 50365 26947.72 531.11 39988.78 - Brownsville Walnut Grove 53883 23832.8 1031.26 32052.94 + Brownsville Walnut Grove 53883 23832.80 1031.26 32052.94 Shelby Clifton 54573 25576.31 723.92 42159.67 Larry Oak Hill Five Points 54597 31630.41 1432.78 55835.87 Dallas Shady Grove 55706 22011.96 313.15 53826.72 @@ -33,71 +33,71 @@ Morris Sullivan 97140 13728.72 455.24 22377.36 Malcolm Spring Hill Bridgeport 97846 27789.25 1441.65 70190.53 Andrew Centerville Plainview 98661 40661.38 973.31 79995.51 - James Riverview Valley View 99563 22376.23 546.85 42749.5 + James Riverview Valley View 99563 22376.23 546.85 42749.50 Juanita Waterloo Georgetown 100509 26660.53 676.41 51566.27 - Shady Grove Clifford 103990 20797.7 1019.91 44546.93 + Shady Grove Clifford 103990 20797.70 1019.91 44546.93 Florence Spring Hill 104935 19660.92 1221.31 44977.11 David Florence Springdale 108460 17730.57 647.69 43637.79 - Frank Riverview Waterloo 109144 18721.91 846.02 29241.2 + Frank Riverview Waterloo 109144 18721.91 846.02 29241.20 Buena Vista Griffin 109500 35164.09 1692.37 53432.26 Wilson Jamestown 111773 21025.19 845.83 39863.08 - Melvin Woodville Harmony 115030 15067.3 734.83 31515.14 - Ricky Stringtown Glenwood 120194 22030.71 790.4 54088.54 + Melvin Woodville Harmony 115030 15067.30 734.83 31515.14 + Ricky Stringtown Glenwood 120194 22030.71 790.40 54088.54 John Fairview Lakeside 123374 21712.42 1337.39 31640.02 Ralph Valley View Harmony 125234 17152.89 603.81 43572.89 Bunker Hill 133136 15951.17 341.13 30764.94 Bernadette Ashland Pleasant Grove 134217 6757.46 306.65 17709.08 Joseph Springdale Lakeside 134343 17381.47 748.31 37418.87 Lacey Jamestown Riverside 134462 10125.84 293.43 26180.45 - Warren Bunker Hill Greenville 134828 10481.74 350.8 19160.46 + Warren Bunker Hill Greenville 134828 10481.74 350.80 19160.46 Gertrude Greenwood Macedonia 137410 33678.21 1866.59 47276.52 - Galena Sulphur Springs 137765 12788.84 545.88 35276.7 + Galena Sulphur Springs 137765 12788.84 545.88 35276.70 Forest Hills Argyle 139387 14190.66 566.22 26171.36 - James Shiloh Wesley 142680 28622.37 1046.33 61645.2 + James Shiloh Wesley 142680 28622.37 1046.33 61645.20 Susan Green Acres Liberty 143399 13352.11 880.61 30549.47 Willie Freeport Wyoming 147738 15265.05 608.18 43336.34 Walnut Grove Willow 147740 24550.37 1403.66 47888.99 Jack Oakwood Liberty 149758 18006.16 299.45 37000.83 Pleasant Hill Waterloo 156554 20178.41 1143.87 34449.89 - Five Points Tracy 159202 32371.98 1162.21 65641.1 - Glendale Mount Pleasant 159389 19529.56 568.73 42661.4 + Five Points Tracy 159202 32371.98 1162.21 65641.10 + Glendale Mount Pleasant 159389 19529.56 568.73 42661.40 Victor Providence Antioch 161524 14173.12 860.07 26079.25 Pleasant Grove Newtown 164893 15334.29 612.95 39959.97 Centerville 171076 6706.91 269.11 19594.55 Raymond Springfield Greenfield 174183 26633.39 1132.88 66071.66 Mount Zion Greenwood 174923 17133.91 313.95 51727.01 Kingston Wildwood 176614 38949.49 2260.34 62962.63 - Springfield Jackson 176898 22035.46 785.41 36552 + Springfield Jackson 176898 22035.46 785.41 36552.00 George Pleasant Grove Shiloh 179953 18237.84 607.57 44135.38 Newtown Union Hill 186823 18161.92 709.16 27119.67 Antone Antioch Forest Hills 192973 14507.02 841.86 34973.08 - Violet Woodlawn Woodville 193534 17536.2 1067.01 30308.64 + Violet Woodlawn Woodville 193534 17536.20 1067.01 30308.64 Emiko Liberty Oakdale 193771 9730.58 249.23 22985.99 Mountain View Deerfield 194436 16962.72 773.97 33070.54 Georgetown Forest Hills 195266 11924.71 382.35 28208.78 - Roy Georgetown Riverside 200033 35666.28 644.1 62654.54 + Roy Georgetown Riverside 200033 35666.28 644.10 62654.54 Barbara Westgate Crossroads 202167 17296.28 1017.79 30562.26 Diane Five Points Mount Zion 203347 26281.72 533.37 42267.33 Andrew Shiloh Mount Zion 205712 18320.09 575.85 32773.59 - Mount Pleasant Greenville 206301 20248.08 682.37 57143.5 + Mount Pleasant Greenville 206301 20248.08 682.37 57143.50 Waterloo Spring Hill 206784 21355.86 1366.98 37107.65 - Littleton Walnut Grove 209023 22998.2 640.55 41076.55 - Norman Jamestown Farmington 218063 37475.56 1480.7 61106.57 + Littleton Walnut Grove 209023 22998.20 640.55 41076.55 + Norman Jamestown Farmington 218063 37475.56 1480.70 61106.57 Hillcrest Valley View 218569 37536.35 1322.01 54952.26 Douglas Crossroads Sunnyside 218776 22822.92 884.66 42559.53 Summit Concord 224470 17167.29 893.49 36546.18 - Joshua Five Points Hopewell 227114 19755.36 674.3 28406.59 + Joshua Five Points Hopewell 227114 19755.36 674.30 28406.59 Edgewood Belmont 230383 14998.93 844.15 26544.25 Franklin Floyd 230648 16319.23 871.53 38604.51 Joseph Lakewood Mount Olive 231104 34934.39 1256.89 55986.84 Marti Greenwood Providence 231861 18475.92 694.12 33988.12 - Deerfield Lakeside 232906 18068.6 650.65 43837.36 + Deerfield Lakeside 232906 18068.60 650.65 43837.36 Fisher 234655 20093.46 279.93 39719.79 Lakeside Jackson 235093 15888.52 457.78 39640.17 Aaron Guy Lakeside Mount Pleasant 210815 24704.66 678.88 45673.18 -Abbott Joseph Greenfield Midway 62751 37795.5 1086.4 53385.17 +Abbott Joseph Greenfield Midway 62751 37795.50 1086.40 53385.17 Abbott Harriet Wesley Forest Hills 84405 23666.36 1274.86 45689.64 Abney Louis Gladstone Green Acres 140967 20698.82 491.86 48086.21 -Acevedo David Clinton Shady Grove 131505 22075.16 772.6 46961.99 -Acosta Johnnie Centerville Enterprise 69183 21688.97 1059.74 34387.3 +Acevedo David Clinton Shady Grove 131505 22075.16 772.60 46961.99 +Acosta Johnnie Centerville Enterprise 69183 21688.97 1059.74 34387.30 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out index 3a1dafa7a4..d4785b2d52 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q71.out @@ -3,12 +3,12 @@ 5004002 edu packscholar #2 19 31 20021.76 7012010 importonameless #10 7 2 17142.78 4004001 edu packedu pack #1 9 23 16687.92 -3003001 exportiexporti #1 19 37 16531.5 +3003001 exportiexporti #1 19 37 16531.50 6012008 importobrand #8 19 41 16055.65 2001002 amalgimporto #2 17 32 15801.28 3001001 amalgexporti #1 17 25 15765.36 9014011 edu packunivamalg #11 18 32 15347.28 -4003001 exportiedu pack #1 8 34 14784.5 +4003001 exportiedu pack #1 8 34 14784.50 1002002 importoamalg #2 8 13 13246.16 10004001 edu packunivamalg #1 19 56 13160.28 2002001 importoimporto #1 17 24 12932.04 @@ -17,34 +17,34 @@ 1001002 amalgamalg #2 19 15 12395.76 6005001 scholarcorp #1 6 58 12395.37 6008005 namelesscorp #5 17 47 12252.44 -5001001 amalgscholar #1 9 28 12171.4 +5001001 amalgscholar #1 9 28 12171.40 5003001 exportischolar #1 17 45 12101.22 7010004 univnameless #4 17 51 12082.56 -6016003 corpbrand #3 8 6 11902.8 -5003001 exportischolar #1 19 35 11523.6 -6002005 importocorp #5 7 54 11026.5 -6005001 scholarcorp #1 17 13 10941.6 -3002001 importoexporti #1 19 43 10914.6 +6016003 corpbrand #3 8 6 11902.80 +5003001 exportischolar #1 19 35 11523.60 +6002005 importocorp #5 7 54 11026.50 +6005001 scholarcorp #1 17 13 10941.60 +3002001 importoexporti #1 19 43 10914.60 6005001 scholarcorp #1 7 39 10787.84 8013009 exportimaxi #9 19 26 10683.66 1001001 amalgamalg #1 17 48 10597.73 -8005005 scholarnameless #5 19 51 10488.4 +8005005 scholarnameless #5 19 51 10488.40 7015007 scholarnameless #7 17 8 10338.06 3003001 exportiexporti #1 19 24 10307.88 2003002 exportiimporto #2 6 53 10190.88 7012010 importonameless #10 18 40 10119.62 -1003002 exportiamalg #2 8 58 10023 +1003002 exportiamalg #2 8 58 10023.00 4001001 amalgedu pack #1 19 59 9881.19 10003004 exportiunivamalg #4 17 27 9719.37 7014001 edu packnameless #1 17 56 9606.96 9016003 corpunivamalg #3 9 42 9576.26 -6016003 corpbrand #3 8 35 9497.9 +6016003 corpbrand #3 8 35 9497.90 7013007 exportinameless #7 18 20 9426.12 -5001001 amalgscholar #1 17 44 9369.4 +5001001 amalgscholar #1 17 44 9369.40 7016001 corpnameless #1 9 8 9319.91 1004002 edu packamalg #2 19 26 9298.01 -7015007 scholarnameless #7 18 47 9254.9 -3003001 exportiexporti #1 17 21 9190.8 +7015007 scholarnameless #7 18 47 9254.90 +3003001 exportiexporti #1 17 21 9190.80 2002001 importoimporto #1 6 34 9043.24 10015004 scholaramalgamalg #4 17 46 9033.72 5003002 exportischolar #2 8 54 9007.28 @@ -53,43 +53,43 @@ 4004001 edu packedu pack #1 18 50 8728.56 3002001 importoexporti #1 19 4 8664.04 7001005 amalgbrand #5 8 59 8656.83 -2003002 exportiimporto #2 9 31 8513.4 +2003002 exportiimporto #2 9 31 8513.40 3002001 importoexporti #1 19 45 8497.28 1001001 amalgamalg #1 19 3 8431.69 9016003 corpunivamalg #3 18 8 8380.89 -10002012 importounivamalg #12 17 1 8360 +10002012 importounivamalg #12 17 1 8360.00 8016004 corpmaxi #4 17 34 8241.06 2004002 edu packimporto #2 19 14 8165.73 2001002 amalgimporto #2 17 34 8160.75 5002001 importoscholar #1 9 22 8143.74 2003001 exportiimporto #1 9 59 8113.05 6007003 brandcorp #3 6 9 8053.44 -10015004 scholaramalgamalg #4 17 58 7966.4 +10015004 scholaramalgamalg #4 17 58 7966.40 5002001 importoscholar #1 19 59 7964.88 2003001 exportiimporto #1 9 17 7900.62 8002009 importonameless #9 18 28 7891.65 7013007 exportinameless #7 19 49 7855.88 3003001 exportiexporti #1 19 49 7845.76 -3001001 amalgexporti #1 7 26 7840 +3001001 amalgexporti #1 7 26 7840.00 3004001 edu packexporti #1 18 0 7698.24 -6011005 amalgbrand #5 17 13 7649 -8013007 exportimaxi #7 18 32 7629.6 +6011005 amalgbrand #5 17 13 7649.00 +8013007 exportimaxi #7 18 32 7629.60 2003002 exportiimporto #2 18 26 7621.35 1003002 exportiamalg #2 18 35 7620.51 -2004001 edu packimporto #1 17 3 7568 +2004001 edu packimporto #1 17 3 7568.00 3001001 amalgexporti #1 19 1 7502.67 7010009 univnameless #9 9 5 7459.82 -3002001 importoexporti #1 19 3 7400.4 -5002002 importoscholar #2 19 19 7349.9 -1003002 exportiamalg #2 9 41 7345.8 +3002001 importoexporti #1 19 3 7400.40 +5002002 importoscholar #2 19 19 7349.90 +1003002 exportiamalg #2 9 41 7345.80 6002005 importocorp #5 19 43 7341.75 -2003001 exportiimporto #1 8 42 7326.2 +2003001 exportiimporto #1 8 42 7326.20 6012008 importobrand #8 9 53 7286.37 10003016 exportiunivamalg #16 19 43 7272.65 -3003002 exportiexporti #2 7 31 7195.5 -8016004 corpmaxi #4 18 55 7186.2 +3003002 exportiexporti #2 7 31 7195.50 +8016004 corpmaxi #4 18 55 7186.20 6011001 amalgbrand #1 9 18 7129.56 -6005001 scholarcorp #1 9 44 7129 +6005001 scholarcorp #1 9 44 7129.00 5003001 exportischolar #1 17 28 7029.12 3002001 importoexporti #1 9 59 6964.25 6008007 namelesscorp #7 18 47 6953.36 @@ -97,53 +97,53 @@ 1002002 importoamalg #2 18 51 6924.69 5001001 amalgscholar #1 19 57 6841.12 6015006 scholarbrand #6 18 23 6755.76 -5002002 importoscholar #2 19 31 6745.9 +5002002 importoscholar #2 19 31 6745.90 2004002 edu packimporto #2 17 2 6744.98 -5003001 exportischolar #1 9 24 6694.8 +5003001 exportischolar #1 9 24 6694.80 10002012 importounivamalg #12 18 16 6634.95 -5004001 edu packscholar #1 8 19 6527.5 +5004001 edu packscholar #1 8 19 6527.50 5003001 exportischolar #1 9 53 6525.33 -1004002 edu packamalg #2 17 32 6524.7 +1004002 edu packamalg #2 17 32 6524.70 1002001 importoamalg #1 17 22 6511.08 -3002002 importoexporti #2 19 13 6487.2 -10002012 importounivamalg #12 18 3 6471.9 -3003001 exportiexporti #1 17 9 6450.6 +3002002 importoexporti #2 19 13 6487.20 +10002012 importounivamalg #12 18 3 6471.90 +3003001 exportiexporti #1 17 9 6450.60 4004002 edu packedu pack #2 17 3 6447.42 1002001 importoamalg #1 6 6 6334.24 10009015 maxiunivamalg #15 8 32 6322.29 10012004 importoamalgamalg #4 6 49 6234.24 10012011 importoamalgamalg #11 19 27 6218.47 9008002 namelessmaxi #2 17 41 6207.45 -3002001 importoexporti #1 18 3 6203.2 -7004007 edu packbrand #7 9 23 6173.1 +3002001 importoexporti #1 18 3 6203.20 +7004007 edu packbrand #7 9 23 6173.10 1004002 edu packamalg #2 17 2 6118.65 -5001002 amalgscholar #2 18 15 6118.2 +5001002 amalgscholar #2 18 15 6118.20 6012005 importobrand #5 17 30 6063.57 1003002 exportiamalg #2 18 52 6013.26 -4003001 exportiedu pack #1 9 54 5994.5 +4003001 exportiedu pack #1 9 54 5994.50 3003001 exportiexporti #1 19 38 5990.76 7010003 univnameless #3 19 4 5952.32 3002001 importoexporti #1 18 50 5950.48 9012003 importounivamalg #3 8 30 5922.09 1004001 edu packamalg #1 17 57 5860.74 -8013009 exportimaxi #9 9 53 5808 +8013009 exportimaxi #9 9 53 5808.00 10010013 univamalgamalg #13 7 11 5799.04 10003004 exportiunivamalg #4 18 18 5692.22 -8002009 importonameless #9 19 33 5633 -1003001 exportiamalg #1 7 57 5617.5 +8002009 importonameless #9 19 33 5633.00 +1003001 exportiamalg #1 7 57 5617.50 10010013 univamalgamalg #13 17 7 5590.62 -5003001 exportischolar #1 7 44 5589.9 +5003001 exportischolar #1 7 44 5589.90 6006007 corpcorp #7 6 1 5578.24 9008002 namelessmaxi #2 17 33 5547.78 -10003016 exportiunivamalg #16 17 55 5519.2 +10003016 exportiunivamalg #16 17 55 5519.20 5002001 importoscholar #1 18 2 5471.54 -10012017 importoamalgamalg #17 18 54 5415.9 +10012017 importoamalgamalg #17 18 54 5415.90 10012011 importoamalgamalg #11 18 17 5384.79 1004002 edu packamalg #2 9 53 5382.72 7016001 corpnameless #1 17 32 5382.09 9008005 namelessmaxi #5 6 9 5382.09 -2001001 amalgimporto #1 6 40 5295.4 -3002001 importoexporti #1 6 40 5245.8 +2001001 amalgimporto #1 6 40 5295.40 +3002001 importoexporti #1 6 40 5245.80 1002002 importoamalg #2 18 15 5240.76 3004001 edu packexporti #1 9 36 5218.56 5003001 exportischolar #1 17 14 5214.72 @@ -152,39 +152,39 @@ 9013009 exportiunivamalg #9 7 31 5155.29 2003001 exportiimporto #1 18 28 5107.41 3003001 exportiexporti #1 17 56 5104.62 -6015006 scholarbrand #6 19 58 5080.6 +6015006 scholarbrand #6 19 58 5080.60 3003001 exportiexporti #1 8 32 5008.64 -10004001 edu packunivamalg #1 9 20 5002.4 +10004001 edu packunivamalg #1 9 20 5002.40 8013007 exportimaxi #7 19 3 4989.95 8016004 corpmaxi #4 19 8 4979.25 -6003008 exporticorp #8 18 38 4955.4 +6003008 exporticorp #8 18 38 4955.40 3002002 importoexporti #2 8 51 4938.16 8014005 edu packmaxi #5 19 38 4893.48 5003001 exportischolar #1 18 1 4889.22 -6003008 exporticorp #8 9 18 4794 +6003008 exporticorp #8 9 18 4794.00 5002001 importoscholar #1 19 9 4787.43 4003001 exportiedu pack #1 9 51 4781.14 9015009 scholarunivamalg #9 8 52 4774.34 5002002 importoscholar #2 6 3 4774.25 1001002 amalgamalg #2 19 31 4758.75 -5002002 importoscholar #2 19 15 4754.4 +5002002 importoscholar #2 19 15 4754.40 2003001 exportiimporto #1 9 32 4723.95 3003001 exportiexporti #1 19 40 4711.07 10003004 exportiunivamalg #4 19 43 4701.06 2001002 amalgimporto #2 19 9 4681.05 -7014001 edu packnameless #1 6 35 4646.4 +7014001 edu packnameless #1 6 35 4646.40 5001001 amalgscholar #1 17 56 4638.84 6010005 univbrand #5 19 23 4606.83 1004002 edu packamalg #2 7 0 4599.14 6016003 corpbrand #3 17 33 4592.04 4001001 amalgedu pack #1 17 8 4586.22 9012005 importounivamalg #5 19 59 4581.56 -3002001 importoexporti #1 17 5 4561.2 +3002001 importoexporti #1 17 5 4561.20 10012011 importoamalgamalg #11 18 29 4531.45 6008005 namelesscorp #5 18 27 4498.44 1003001 exportiamalg #1 19 4 4483.98 -5003001 exportischolar #1 18 31 4452.8 -3002002 importoexporti #2 18 52 4436.8 +5003001 exportischolar #1 18 31 4452.80 +3002002 importoexporti #2 18 52 4436.80 1003002 exportiamalg #2 9 38 4428.98 1004002 edu packamalg #2 9 55 4427.52 5003001 exportischolar #1 19 2 4412.78 @@ -196,44 +196,44 @@ 9013009 exportiunivamalg #9 17 42 4321.92 4004001 edu packedu pack #1 8 22 4316.62 8004003 edu packnameless #3 17 23 4282.17 -2004002 edu packimporto #2 7 56 4267.9 -1003002 exportiamalg #2 9 49 4255.8 +2004002 edu packimporto #2 7 56 4267.90 +1003002 exportiamalg #2 9 49 4255.80 7013007 exportinameless #7 19 42 4252.78 -9015011 scholarunivamalg #11 8 55 4235 +9015011 scholarunivamalg #11 8 55 4235.00 1002002 importoamalg #2 17 0 4183.34 6010005 univbrand #5 9 27 4172.35 6007003 brandcorp #3 19 33 4146.75 2004001 edu packimporto #1 19 33 4138.56 6005001 scholarcorp #1 19 55 4137.88 6016003 corpbrand #3 9 41 4100.88 -9014011 edu packunivamalg #11 17 50 4100.4 -5003001 exportischolar #1 18 17 4099.2 +9014011 edu packunivamalg #11 17 50 4100.40 +5003001 exportischolar #1 18 17 4099.20 5003001 exportischolar #1 9 28 4064.76 1004002 edu packamalg #2 17 16 4061.68 -10012017 importoamalgamalg #17 8 53 4045 +10012017 importoamalgamalg #17 8 53 4045.00 4004001 edu packedu pack #1 17 15 4028.96 -6002005 importocorp #5 17 22 4011.3 +6002005 importocorp #5 17 22 4011.30 4003001 exportiedu pack #1 9 42 3952.59 7004007 edu packbrand #7 7 19 3943.82 10002012 importounivamalg #12 19 19 3925.48 10009015 maxiunivamalg #15 7 51 3912.99 4001001 amalgedu pack #1 17 55 3890.08 -10002012 importounivamalg #12 18 10 3870 -10004001 edu packunivamalg #1 18 13 3864 +10002012 importounivamalg #12 18 10 3870.00 +10004001 edu packunivamalg #1 18 13 3864.00 5004002 edu packscholar #2 18 50 3863.88 6008002 namelesscorp #2 18 38 3841.04 -1001001 amalgamalg #1 19 44 3818.4 +1001001 amalgamalg #1 19 44 3818.40 10002012 importounivamalg #12 17 51 3766.14 2004001 edu packimporto #1 18 4 3757.34 -10003004 exportiunivamalg #4 7 34 3756.2 +10003004 exportiunivamalg #4 7 34 3756.20 9012008 importounivamalg #8 18 56 3735.84 5001001 amalgscholar #1 19 12 3735.76 7015007 scholarnameless #7 17 55 3734.28 -2001002 amalgimporto #2 8 51 3725.9 +2001002 amalgimporto #2 8 51 3725.90 5002002 importoscholar #2 17 38 3709.44 7016007 corpnameless #7 19 53 3701.95 -8002009 importonameless #9 9 18 3686.9 -8014005 edu packmaxi #5 18 43 3649 +8002009 importonameless #9 9 18 3686.90 +8014005 edu packmaxi #5 18 43 3649.00 9008002 namelessmaxi #2 17 52 3635.28 5001001 amalgscholar #1 19 19 3617.97 4003001 exportiedu pack #1 17 43 3598.98 @@ -243,12 +243,12 @@ 1001002 amalgamalg #2 19 59 3542.94 1001002 amalgamalg #2 18 37 3522.98 8011009 amalgmaxi #9 19 35 3485.72 -1003002 exportiamalg #2 19 58 3423.8 +1003002 exportiamalg #2 19 58 3423.80 1001002 amalgamalg #2 18 25 3408.48 4004002 edu packedu pack #2 17 2 3400.05 6008007 namelesscorp #7 18 16 3395.62 -5002002 importoscholar #2 6 23 3383.1 -1002002 importoamalg #2 9 48 3374 +5002002 importoscholar #2 6 23 3383.10 +1002002 importoamalg #2 9 48 3374.00 4003001 exportiedu pack #1 8 33 3358.72 5001001 amalgscholar #1 18 27 3326.04 3002002 importoexporti #2 17 18 3304.55 @@ -258,29 +258,29 @@ 7015007 scholarnameless #7 9 48 3249.72 8004003 edu packnameless #3 18 44 3232.48 5003002 exportischolar #2 9 47 3222.66 -1002002 importoamalg #2 8 37 3220.8 +1002002 importoamalg #2 8 37 3220.80 3004001 edu packexporti #1 7 56 3218.22 -3001001 amalgexporti #1 17 10 3217.5 +3001001 amalgexporti #1 17 10 3217.50 7010009 univnameless #9 18 26 3215.11 1002001 importoamalg #1 17 46 3195.24 2004002 edu packimporto #2 18 46 3194.31 5001001 amalgscholar #1 17 54 3180.02 7008009 namelessbrand #9 17 52 3146.96 -2004002 edu packimporto #2 17 46 3144.4 -3004001 edu packexporti #1 19 14 3127.2 -7010004 univnameless #4 9 16 3126.9 +2004002 edu packimporto #2 17 46 3144.40 +3004001 edu packexporti #1 19 14 3127.20 +7010004 univnameless #4 9 16 3126.90 3001001 amalgexporti #1 8 38 3125.32 1003001 exportiamalg #1 19 10 3110.49 6012008 importobrand #8 19 13 3101.32 1003002 exportiamalg #2 8 56 3097.12 -6005001 scholarcorp #1 8 14 3096.9 -6016003 corpbrand #3 19 31 3094.5 +6005001 scholarcorp #1 8 14 3096.90 +6016003 corpbrand #3 19 31 3094.50 7010004 univnameless #4 19 4 3093.35 -10002012 importounivamalg #12 18 0 3063.2 -2004001 edu packimporto #1 19 4 3051.4 +10002012 importounivamalg #12 18 0 3063.20 +2004001 edu packimporto #1 19 4 3051.40 8014005 edu packmaxi #5 17 40 3049.76 1001001 amalgamalg #1 18 49 3045.12 -3004001 edu packexporti #1 7 50 3029 +3004001 edu packexporti #1 7 50 3029.00 10012017 importoamalgamalg #17 18 26 3027.72 1003001 exportiamalg #1 8 35 3007.26 8005005 scholarnameless #5 6 50 2972.97 @@ -288,20 +288,20 @@ 4001001 amalgedu pack #1 9 12 2930.95 1002002 importoamalg #2 9 9 2926.95 6008005 namelesscorp #5 9 1 2902.58 -3002002 importoexporti #2 17 15 2902.2 +3002002 importoexporti #2 17 15 2902.20 2001002 amalgimporto #2 19 47 2894.46 1003001 exportiamalg #1 9 58 2871.44 9012005 importounivamalg #5 18 34 2864.88 -3003002 exportiexporti #2 18 8 2844 +3003002 exportiexporti #2 18 8 2844.00 10013013 exportiamalgamalg #13 8 0 2831.12 5002001 importoscholar #1 17 38 2822.47 7016007 corpnameless #7 17 56 2817.48 9015011 scholarunivamalg #11 8 2 2811.48 1001001 amalgamalg #1 9 18 2793.44 -4004001 edu packedu pack #1 9 54 2787.2 +4004001 edu packedu pack #1 9 54 2787.20 1003001 exportiamalg #1 7 23 2784.84 -1003002 exportiamalg #2 18 21 2783 -1003001 exportiamalg #1 17 37 2779.5 +1003002 exportiamalg #2 18 21 2783.00 +1003001 exportiamalg #1 17 37 2779.50 2004002 edu packimporto #2 19 26 2776.36 6009003 maxicorp #3 19 38 2763.09 1003001 exportiamalg #1 17 41 2751.84 @@ -309,34 +309,34 @@ 10015013 scholaramalgamalg #13 8 25 2746.86 3002001 importoexporti #1 17 13 2741.54 4001001 amalgedu pack #1 9 3 2738.34 -9012003 importounivamalg #3 9 18 2732.4 +9012003 importounivamalg #3 9 18 2732.40 5001001 amalgscholar #1 17 43 2731.37 2001002 amalgimporto #2 9 36 2715.18 -3003001 exportiexporti #1 19 25 2713.3 +3003001 exportiexporti #1 19 25 2713.30 5001001 amalgscholar #1 17 52 2707.54 -3002001 importoexporti #1 18 20 2694.5 -6008002 namelesscorp #2 18 48 2683.2 -1003002 exportiamalg #2 17 59 2670.5 +3002001 importoexporti #1 18 20 2694.50 +6008002 namelesscorp #2 18 48 2683.20 +1003002 exportiamalg #2 17 59 2670.50 1002002 importoamalg #2 9 36 2668.77 1003001 exportiamalg #1 9 26 2633.15 -4003001 exportiedu pack #1 9 38 2631.2 +4003001 exportiedu pack #1 9 38 2631.20 9015011 scholarunivamalg #11 18 16 2621.71 7010009 univnameless #9 18 48 2609.88 8005005 scholarnameless #5 19 55 2606.45 10012011 importoamalgamalg #11 17 9 2589.95 1002001 importoamalg #1 19 21 2579.48 -4002001 importoedu pack #1 18 51 2567.4 +4002001 importoedu pack #1 18 51 2567.40 5003001 exportischolar #1 8 50 2555.28 1004002 edu packamalg #2 18 24 2551.16 -2003001 exportiimporto #1 19 58 2528.4 +2003001 exportiimporto #1 19 58 2528.40 6005001 scholarcorp #1 17 45 2522.52 6007003 brandcorp #3 17 49 2522.15 -1002001 importoamalg #1 19 14 2513.3 +1002001 importoamalg #1 19 14 2513.30 10010013 univamalgamalg #13 8 30 2513.25 -4001001 amalgedu pack #1 19 9 2512 +4001001 amalgedu pack #1 19 9 2512.00 7010004 univnameless #4 17 44 2509.78 8003010 exportinameless #10 18 27 2507.44 -6011008 amalgbrand #8 18 5 2505 +6011008 amalgbrand #8 18 5 2505.00 7010004 univnameless #4 8 21 2502.36 6012008 importobrand #8 8 33 2495.65 8004003 edu packnameless #3 18 52 2495.22 @@ -345,24 +345,24 @@ 4004002 edu packedu pack #2 18 23 2483.01 8016004 corpmaxi #4 18 43 2482.62 10004001 edu packunivamalg #1 8 39 2472.93 -2003002 exportiimporto #2 9 41 2471.9 +2003002 exportiimporto #2 9 41 2471.90 6011001 amalgbrand #1 7 21 2458.17 8011009 amalgmaxi #9 19 5 2457.99 6002005 importocorp #5 19 0 2454.03 1002002 importoamalg #2 19 57 2451.06 -5001002 amalgscholar #2 19 42 2444.8 -9014011 edu packunivamalg #11 17 44 2436.4 +5001002 amalgscholar #2 19 42 2444.80 +9014011 edu packunivamalg #11 17 44 2436.40 10003004 exportiunivamalg #4 19 46 2423.18 6016003 corpbrand #3 19 19 2421.65 8004009 edu packnameless #9 19 44 2421.51 2002001 importoimporto #1 8 8 2420.34 -6012005 importobrand #5 7 20 2412.3 -3003001 exportiexporti #1 7 29 2408.7 +6012005 importobrand #5 7 20 2412.30 +3003001 exportiexporti #1 7 29 2408.70 3002001 importoexporti #1 18 21 2403.96 3002002 importoexporti #2 8 58 2399.13 2001002 amalgimporto #2 17 12 2396.61 5003002 exportischolar #2 17 37 2388.24 -4004001 edu packedu pack #1 17 5 2386.2 +4004001 edu packedu pack #1 17 5 2386.20 5003002 exportischolar #2 9 29 2378.69 3004001 edu packexporti #1 17 46 2375.45 9014011 edu packunivamalg #11 19 18 2363.04 @@ -370,24 +370,24 @@ 1003001 exportiamalg #1 19 19 2355.12 6002005 importocorp #5 8 27 2351.04 2002001 importoimporto #1 19 47 2338.56 -6007003 brandcorp #3 9 4 2335.1 -8004003 edu packnameless #3 9 44 2314.4 +6007003 brandcorp #3 9 4 2335.10 +8004003 edu packnameless #3 9 44 2314.40 5003001 exportischolar #1 19 58 2294.62 -8002009 importonameless #9 18 12 2266.6 +8002009 importonameless #9 18 12 2266.60 3004001 edu packexporti #1 19 9 2261.52 -7010003 univnameless #3 18 35 2234.4 +7010003 univnameless #3 18 35 2234.40 4004001 edu packedu pack #1 9 25 2215.21 3003001 exportiexporti #1 8 9 2206.47 -1003002 exportiamalg #2 17 41 2197.6 +1003002 exportiamalg #2 17 41 2197.60 6008007 namelesscorp #7 18 0 2190.24 3002001 importoexporti #1 17 51 2181.96 8013007 exportimaxi #7 7 11 2180.76 6005001 scholarcorp #1 18 43 2174.48 -6006007 corpcorp #7 7 24 2158.4 +6006007 corpcorp #7 7 24 2158.40 6002003 importocorp #3 19 26 2152.17 -1001001 amalgamalg #1 19 53 2149.7 +1001001 amalgamalg #1 19 53 2149.70 5003001 exportischolar #1 8 59 2144.73 -6005001 scholarcorp #1 9 25 2143.1 +6005001 scholarcorp #1 9 25 2143.10 7008009 namelessbrand #9 19 39 2132.41 3003001 exportiexporti #1 19 53 2118.88 9015009 scholarunivamalg #9 19 3 2114.64 @@ -396,45 +396,45 @@ 8003010 exportinameless #10 17 42 2082.86 8002009 importonameless #9 9 37 2079.84 4001001 amalgedu pack #1 19 43 2067.52 -5004002 edu packscholar #2 19 2 2061.3 +5004002 edu packscholar #2 19 2 2061.30 5004002 edu packscholar #2 18 7 2049.67 -10004001 edu packunivamalg #1 18 49 2031.2 +10004001 edu packunivamalg #1 18 49 2031.20 1003001 exportiamalg #1 18 21 2028.31 -4001002 amalgedu pack #2 19 19 2018.4 +4001002 amalgedu pack #2 19 19 2018.40 5002002 importoscholar #2 19 18 2016.96 -4001002 amalgedu pack #2 6 3 2012.8 +4001002 amalgedu pack #2 6 3 2012.80 6011005 amalgbrand #5 9 53 1997.52 -6011008 amalgbrand #8 8 28 1995.6 -6007003 brandcorp #3 17 33 1995.2 +6011008 amalgbrand #8 8 28 1995.60 +6007003 brandcorp #3 17 33 1995.20 3003001 exportiexporti #1 9 22 1982.73 5002002 importoscholar #2 17 49 1980.88 -2001002 amalgimporto #2 17 27 1955.2 +2001002 amalgimporto #2 17 27 1955.20 7007004 brandbrand #4 9 31 1954.11 2001002 amalgimporto #2 17 11 1951.95 2004001 edu packimporto #1 19 50 1934.46 -4004001 edu packedu pack #1 9 11 1930.5 +4004001 edu packedu pack #1 9 11 1930.50 7010003 univnameless #3 19 20 1926.24 1004002 edu packamalg #2 8 13 1922.68 9013009 exportiunivamalg #9 19 55 1906.92 8004003 edu packnameless #3 19 58 1905.78 6008007 namelesscorp #7 17 2 1905.12 -1002001 importoamalg #1 9 28 1904.1 +1002001 importoamalg #1 9 28 1904.10 1002002 importoamalg #2 9 42 1893.54 4001002 amalgedu pack #2 17 55 1880.97 1004001 edu packamalg #1 19 42 1878.76 1001001 amalgamalg #1 17 19 1877.46 -2003002 exportiimporto #2 18 9 1874.4 +2003002 exportiimporto #2 18 9 1874.40 9012008 importounivamalg #8 18 22 1873.02 -1002002 importoamalg #2 18 42 1852.2 +1002002 importoamalg #2 18 42 1852.20 6002003 importocorp #3 17 39 1840.98 -5002002 importoscholar #2 18 14 1817 +5002002 importoscholar #2 18 14 1817.00 1001001 amalgamalg #1 17 59 1813.11 7012003 importonameless #3 18 18 1807.85 7016001 corpnameless #1 19 5 1806.68 8005005 scholarnameless #5 17 31 1800.48 -5002001 importoscholar #1 6 7 1789.2 +5002001 importoscholar #1 6 7 1789.20 9015009 scholarunivamalg #9 6 44 1788.93 -3002001 importoexporti #1 8 52 1770 +3002001 importoexporti #1 8 52 1770.00 3002002 importoexporti #2 6 41 1760.58 1001001 amalgamalg #1 9 14 1745.24 1004002 edu packamalg #2 18 32 1742.52 @@ -443,24 +443,24 @@ 7010003 univnameless #3 7 58 1735.12 6016003 corpbrand #3 8 54 1733.08 7008009 namelessbrand #9 19 27 1726.56 -5002001 importoscholar #1 8 24 1725.5 +5002001 importoscholar #1 8 24 1725.50 9013009 exportiunivamalg #9 18 43 1722.16 2002001 importoimporto #1 9 43 1715.64 -5003001 exportischolar #1 17 32 1714.8 +5003001 exportischolar #1 17 32 1714.80 5001001 amalgscholar #1 18 35 1713.96 7004007 edu packbrand #7 17 57 1713.28 4001001 amalgedu pack #1 19 13 1708.26 6007003 brandcorp #3 17 51 1707.48 4001002 amalgedu pack #2 19 51 1706.46 1003001 exportiamalg #1 18 3 1704.75 -10010013 univamalgamalg #13 18 51 1677.2 +10010013 univamalgamalg #13 18 51 1677.20 2004002 edu packimporto #2 17 59 1676.84 2001002 amalgimporto #2 18 21 1659.84 5001002 amalgscholar #2 18 35 1654.44 2002001 importoimporto #1 17 4 1649.28 -5004001 edu packscholar #1 6 36 1646.5 +5004001 edu packscholar #1 6 36 1646.50 3002001 importoexporti #1 17 14 1644.96 -4004001 edu packedu pack #1 17 18 1644 +4004001 edu packedu pack #1 17 18 1644.00 4001001 amalgedu pack #1 17 28 1643.76 5001001 amalgscholar #1 19 21 1643.22 4001001 amalgedu pack #1 6 45 1639.44 @@ -468,33 +468,33 @@ 1001002 amalgamalg #2 9 48 1624.59 9008005 namelessmaxi #5 17 4 1621.62 1002002 importoamalg #2 9 56 1600.82 -9013009 exportiunivamalg #9 18 51 1590 +9013009 exportiunivamalg #9 18 51 1590.00 10012017 importoamalgamalg #17 17 16 1565.38 5002001 importoscholar #1 19 55 1563.38 -10015013 scholaramalgamalg #13 19 51 1553.2 +10015013 scholaramalgamalg #13 19 51 1553.20 3004001 edu packexporti #1 9 31 1541.43 5003002 exportischolar #2 17 2 1540.54 -8013007 exportimaxi #7 18 51 1537.9 +8013007 exportimaxi #7 18 51 1537.90 5004002 edu packscholar #2 19 24 1514.74 4003001 exportiedu pack #1 8 3 1514.43 -2001002 amalgimporto #2 18 48 1511.3 +2001002 amalgimporto #2 18 48 1511.30 1001002 amalgamalg #2 17 55 1505.25 2004001 edu packimporto #1 19 27 1490.13 4001001 amalgedu pack #1 17 15 1488.84 6005001 scholarcorp #1 17 14 1488.52 9015011 scholarunivamalg #11 18 55 1487.52 -5003001 exportischolar #1 9 26 1482.3 +5003001 exportischolar #1 9 26 1482.30 5004002 edu packscholar #2 18 47 1481.61 10009015 maxiunivamalg #15 19 55 1476.75 2004002 edu packimporto #2 9 3 1475.84 7016007 corpnameless #7 17 42 1470.52 5003001 exportischolar #1 17 59 1466.25 -5004002 edu packscholar #2 18 35 1462 +5004002 edu packscholar #2 18 35 1462.00 5003001 exportischolar #1 18 10 1461.98 1003001 exportiamalg #1 19 50 1455.83 5003001 exportischolar #1 8 25 1446.36 1004001 edu packamalg #1 19 26 1439.04 -6011005 amalgbrand #5 18 33 1435.5 +6011005 amalgbrand #5 18 33 1435.50 5002001 importoscholar #1 19 33 1434.24 3004001 edu packexporti #1 18 49 1433.88 4001002 amalgedu pack #2 7 40 1431.54 @@ -502,26 +502,26 @@ 1003002 exportiamalg #2 7 40 1418.18 1002002 importoamalg #2 17 44 1415.25 2001002 amalgimporto #2 7 8 1414.14 -5002002 importoscholar #2 17 30 1404 +5002002 importoscholar #2 17 30 1404.00 5003001 exportischolar #1 19 10 1403.22 7012003 importonameless #3 9 22 1399.96 3003001 exportiexporti #1 18 33 1386.35 3002001 importoexporti #1 17 40 1379.04 9014011 edu packunivamalg #11 17 3 1364.52 5003001 exportischolar #1 9 46 1361.57 -5001002 amalgscholar #2 19 51 1360 +5001002 amalgscholar #2 19 51 1360.00 2004002 edu packimporto #2 9 28 1353.15 9015009 scholarunivamalg #9 18 9 1352.61 5002002 importoscholar #2 17 52 1345.02 1002002 importoamalg #2 18 27 1343.93 6011008 amalgbrand #8 9 39 1341.93 1004002 edu packamalg #2 17 11 1340.64 -5003001 exportischolar #1 17 11 1328 +5003001 exportischolar #1 17 11 1328.00 6002003 importocorp #3 17 20 1327.58 6012008 importobrand #8 9 10 1327.19 7010003 univnameless #3 19 49 1319.57 2003001 exportiimporto #1 9 23 1310.16 -3002002 importoexporti #2 17 45 1301.9 +3002002 importoexporti #2 17 45 1301.90 3003001 exportiexporti #1 8 19 1301.37 6011008 amalgbrand #8 9 33 1278.35 10003004 exportiunivamalg #4 9 23 1272.43 @@ -529,108 +529,108 @@ 2001002 amalgimporto #2 17 22 1269.07 4004002 edu packedu pack #2 19 7 1264.56 1004002 edu packamalg #2 19 0 1261.65 -10015013 scholaramalgamalg #13 9 34 1257.3 +10015013 scholaramalgamalg #13 9 34 1257.30 1001001 amalgamalg #1 17 56 1250.08 3003002 exportiexporti #2 18 26 1248.48 -9012005 importounivamalg #5 7 0 1230.2 +9012005 importounivamalg #5 7 0 1230.20 9015009 scholarunivamalg #9 18 40 1222.64 3003002 exportiexporti #2 9 42 1217.28 2001002 amalgimporto #2 7 46 1213.44 10004001 edu packunivamalg #1 18 58 1212.96 -3001001 amalgexporti #1 9 41 1211.5 +3001001 amalgexporti #1 9 41 1211.50 6006007 corpcorp #7 18 59 1210.32 -5003001 exportischolar #1 18 14 1210.2 -5001001 amalgscholar #1 8 31 1205.5 -9016003 corpunivamalg #3 17 53 1200 -10013015 exportiamalgamalg #15 17 14 1192.5 +5003001 exportischolar #1 18 14 1210.20 +5001001 amalgscholar #1 8 31 1205.50 +9016003 corpunivamalg #3 17 53 1200.00 +10013015 exportiamalgamalg #15 17 14 1192.50 1002002 importoamalg #2 19 16 1182.37 1002002 importoamalg #2 19 42 1178.88 10012011 importoamalgamalg #11 17 31 1173.28 3003001 exportiexporti #1 8 48 1167.05 -5002002 importoscholar #2 18 40 1159.4 -2001002 amalgimporto #2 9 3 1157.2 +5002002 importoscholar #2 18 40 1159.40 +2001002 amalgimporto #2 9 3 1157.20 5003002 exportischolar #2 19 6 1150.92 5003001 exportischolar #1 9 29 1150.77 10009015 maxiunivamalg #15 18 2 1150.73 1004001 edu packamalg #1 19 2 1148.16 -3003001 exportiexporti #1 9 14 1139.6 +3003001 exportiexporti #1 9 14 1139.60 2001001 amalgimporto #1 17 28 1135.06 -4003001 exportiedu pack #1 6 50 1129.2 +4003001 exportiedu pack #1 6 50 1129.20 8016004 corpmaxi #4 17 32 1127.61 9015009 scholarunivamalg #9 18 18 1124.16 5002001 importoscholar #1 8 48 1123.47 8003010 exportinameless #10 9 0 1123.08 1004002 edu packamalg #2 19 25 1117.39 7012010 importonameless #10 19 35 1114.76 -1001002 amalgamalg #2 9 46 1114.4 +1001002 amalgamalg #2 9 46 1114.40 10012017 importoamalgamalg #17 17 7 1107.54 10009015 maxiunivamalg #15 17 29 1104.61 -6010005 univbrand #5 17 24 1102.2 -6011001 amalgbrand #1 19 21 1098.3 -3002001 importoexporti #1 18 39 1094.1 -10004001 edu packunivamalg #1 17 26 1081.8 +6010005 univbrand #5 17 24 1102.20 +6011001 amalgbrand #1 19 21 1098.30 +3002001 importoexporti #1 18 39 1094.10 +10004001 edu packunivamalg #1 17 26 1081.80 9016003 corpunivamalg #3 19 8 1079.54 -6011005 amalgbrand #5 17 31 1071 +6011005 amalgbrand #5 17 31 1071.00 9015009 scholarunivamalg #9 18 30 1062.06 6008007 namelesscorp #7 19 54 1058.93 -8014005 edu packmaxi #5 9 34 1058 -10013015 exportiamalgamalg #15 8 30 1057.8 +8014005 edu packmaxi #5 9 34 1058.00 +10013015 exportiamalgamalg #15 8 30 1057.80 6006007 corpcorp #7 19 54 1055.43 2004002 edu packimporto #2 18 28 1052.64 1002002 importoamalg #2 9 27 1040.43 7008009 namelessbrand #9 19 45 1037.51 2002001 importoimporto #1 7 32 1023.75 -7012010 importonameless #10 7 19 1016.8 -5004002 edu packscholar #2 17 10 1016.6 +7012010 importonameless #10 7 19 1016.80 +5004002 edu packscholar #2 17 10 1016.60 6015006 scholarbrand #6 19 0 1010.91 1003001 exportiamalg #1 9 36 1007.81 7016007 corpnameless #7 18 45 992.74 6005001 scholarcorp #1 19 16 991.98 5002002 importoscholar #2 18 27 986.24 -8002009 importonameless #9 9 23 983.4 -1002001 importoamalg #1 19 26 977.6 -10002012 importounivamalg #12 18 4 963.8 +8002009 importonameless #9 9 23 983.40 +1002001 importoamalg #1 19 26 977.60 +10002012 importounivamalg #12 18 4 963.80 1003001 exportiamalg #1 17 40 953.55 -8011009 amalgmaxi #9 19 42 951.6 -4004002 edu packedu pack #2 9 34 951 +8011009 amalgmaxi #9 19 42 951.60 +4004002 edu packedu pack #2 9 34 951.00 4004002 edu packedu pack #2 18 18 943.66 2002001 importoimporto #1 9 20 943.56 -8014005 edu packmaxi #5 18 24 943 -3002002 importoexporti #2 18 24 935 +8014005 edu packmaxi #5 18 24 943.00 +3002002 importoexporti #2 18 24 935.00 8003010 exportinameless #10 7 24 931.32 7016007 corpnameless #7 17 28 924.66 5003002 exportischolar #2 9 14 920.46 5001001 amalgscholar #1 19 54 920.16 5001001 amalgscholar #1 18 23 909.48 6002005 importocorp #5 18 4 904.12 -1002001 importoamalg #1 19 40 901.6 +1002001 importoamalg #1 19 40 901.60 5003001 exportischolar #1 6 18 901.42 9014011 edu packunivamalg #11 8 40 896.49 7016007 corpnameless #7 19 16 892.64 4001002 amalgedu pack #2 17 14 886.48 7010003 univnameless #3 18 37 883.34 10013013 exportiamalgamalg #13 7 42 879.36 -1002001 importoamalg #1 17 32 876.3 +1002001 importoamalg #1 17 32 876.30 2003001 exportiimporto #1 18 54 864.36 -10004004 edu packunivamalg #4 19 59 861.1 +10004004 edu packunivamalg #4 19 59 861.10 7004009 edu packbrand #9 9 36 858.73 8014005 edu packmaxi #5 9 22 850.23 7004009 edu packbrand #9 6 11 847.26 -4001001 amalgedu pack #1 19 58 844.9 -2003002 exportiimporto #2 6 17 842.4 +4001001 amalgedu pack #1 19 58 844.90 +2003002 exportiimporto #2 6 17 842.40 7010009 univnameless #9 17 37 841.96 -1003002 exportiamalg #2 19 33 839.9 +1003002 exportiamalg #2 19 33 839.90 8004009 edu packnameless #9 17 8 829.76 -9012003 importounivamalg #3 8 59 829.2 +9012003 importounivamalg #3 8 59 829.20 7012003 importonameless #3 8 51 826.89 3002001 importoexporti #1 19 49 826.74 9012005 importounivamalg #5 17 45 821.48 2001002 amalgimporto #2 17 56 820.26 -2002001 importoimporto #1 19 10 818.4 +2002001 importoimporto #1 19 10 818.40 5001001 amalgscholar #1 19 18 818.09 7016001 corpnameless #1 19 50 817.11 -10013013 exportiamalgamalg #13 17 44 814.8 -7010003 univnameless #3 18 12 811.5 +10013013 exportiamalgamalg #13 17 44 814.80 +7010003 univnameless #3 18 12 811.50 6008007 namelesscorp #7 17 20 810.46 7016007 corpnameless #7 9 54 810.24 9012008 importounivamalg #8 9 43 803.64 @@ -638,22 +638,22 @@ 4001002 amalgedu pack #2 17 57 792.74 5003002 exportischolar #2 19 10 790.72 7004009 edu packbrand #9 9 8 789.88 -5001001 amalgscholar #1 19 51 778.4 +5001001 amalgscholar #1 19 51 778.40 4001001 amalgedu pack #1 17 7 777.12 -3004001 edu packexporti #1 19 17 763 +3004001 edu packexporti #1 19 17 763.00 5001002 amalgscholar #2 19 24 762.96 9008005 namelessmaxi #5 9 52 756.42 3002001 importoexporti #1 9 41 755.15 5002002 importoscholar #2 18 26 755.09 -6011001 amalgbrand #1 6 46 752.8 +6011001 amalgbrand #1 6 46 752.80 3002002 importoexporti #2 19 19 748.41 5002002 importoscholar #2 19 27 745.92 -4003001 exportiedu pack #1 18 35 745.2 +4003001 exportiedu pack #1 18 35 745.20 6002003 importocorp #3 7 2 744.12 3002001 importoexporti #1 19 27 738.14 1004002 edu packamalg #2 19 5 736.92 2002001 importoimporto #1 9 32 735.13 -4001002 amalgedu pack #2 17 6 724.8 +4001002 amalgedu pack #2 17 6 724.80 10012004 importoamalgamalg #4 18 33 717.21 2004002 edu packimporto #2 9 46 716.38 9012008 importounivamalg #8 7 51 715.44 @@ -672,19 +672,19 @@ 1001002 amalgamalg #2 19 54 634.68 5001002 amalgscholar #2 8 59 633.36 3004001 edu packexporti #1 18 4 633.06 -10010013 univamalgamalg #13 18 32 630 +10010013 univamalgamalg #13 18 32 630.00 1002002 importoamalg #2 19 21 628.67 10012017 importoamalgamalg #17 17 19 625.56 1001002 amalgamalg #2 18 45 622.21 5002001 importoscholar #1 19 32 615.12 -4004001 edu packedu pack #1 19 50 610.5 +4004001 edu packedu pack #1 19 50 610.50 1004002 edu packamalg #2 8 26 608.52 6010005 univbrand #5 7 17 598.91 -6005001 scholarcorp #1 9 9 597.3 +6005001 scholarcorp #1 9 9 597.30 10012017 importoamalgamalg #17 19 11 595.65 6011005 amalgbrand #5 19 3 594.59 3002001 importoexporti #1 18 37 589.28 -6007003 brandcorp #3 17 26 588.8 +6007003 brandcorp #3 17 26 588.80 1002001 importoamalg #1 19 46 583.47 2004002 edu packimporto #2 19 16 581.28 1004002 edu packamalg #2 17 39 580.32 @@ -693,9 +693,9 @@ 9015009 scholarunivamalg #9 18 31 573.93 2003002 exportiimporto #2 19 52 568.92 9008005 namelessmaxi #5 17 42 567.64 -7004007 edu packbrand #7 18 15 563.8 +7004007 edu packbrand #7 18 15 563.80 5002002 importoscholar #2 19 0 558.98 -8004003 edu packnameless #3 18 21 558.9 +8004003 edu packnameless #3 18 21 558.90 10012017 importoamalgamalg #17 8 4 558.69 9015011 scholarunivamalg #11 19 54 555.36 1002001 importoamalg #1 19 20 554.88 @@ -704,30 +704,30 @@ 6015006 scholarbrand #6 19 50 548.68 10012011 importoamalgamalg #11 9 19 541.25 3004001 edu packexporti #1 17 51 539.95 -1003001 exportiamalg #1 6 53 528.9 -10015004 scholaramalgamalg #4 19 42 525.8 +1003001 exportiamalg #1 6 53 528.90 +10015004 scholaramalgamalg #4 19 42 525.80 4004001 edu packedu pack #1 17 35 524.59 8002009 importonameless #9 6 46 522.06 5003002 exportischolar #2 17 23 520.96 4004001 edu packedu pack #1 17 30 517.65 7008009 namelessbrand #9 17 29 514.25 -9012005 importounivamalg #5 8 34 504.6 -10012004 importoamalgamalg #4 8 8 503.1 +9012005 importounivamalg #5 8 34 504.60 +10012004 importoamalgamalg #4 8 8 503.10 3002002 importoexporti #2 18 21 490.82 1002002 importoamalg #2 18 31 489.72 -10012011 importoamalgamalg #11 8 53 486.5 -9013009 exportiunivamalg #9 17 24 478 +10012011 importoamalgamalg #11 8 53 486.50 +9013009 exportiunivamalg #9 17 24 478.00 6008002 namelesscorp #2 8 59 471.68 10003016 exportiunivamalg #16 18 20 471.66 8016004 corpmaxi #4 7 53 470.55 4001001 amalgedu pack #1 17 26 469.58 1002001 importoamalg #1 18 59 464.52 -9013009 exportiunivamalg #9 9 8 462.8 +9013009 exportiunivamalg #9 9 8 462.80 9008002 namelessmaxi #2 9 51 458.82 6009003 maxicorp #3 17 44 457.74 3002001 importoexporti #1 8 5 454.77 -10012004 importoamalgamalg #4 17 24 450.9 -4004001 edu packedu pack #1 9 37 449.9 +10012004 importoamalgamalg #4 17 24 450.90 +4004001 edu packedu pack #1 9 37 449.90 6011008 amalgbrand #8 17 4 445.12 10015013 scholaramalgamalg #13 8 32 438.48 4003001 exportiedu pack #1 9 31 424.26 @@ -738,7 +738,7 @@ 5002002 importoscholar #2 6 34 416.52 2003002 exportiimporto #2 18 18 414.12 3002002 importoexporti #2 9 28 414.12 -3003002 exportiexporti #2 19 24 410 +3003002 exportiexporti #2 19 24 410.00 5003001 exportischolar #1 19 29 407.34 5001001 amalgscholar #1 18 40 405.15 10009015 maxiunivamalg #15 9 58 402.38 @@ -746,9 +746,9 @@ 3003001 exportiexporti #1 17 28 389.88 1001002 amalgamalg #2 8 38 388.35 8003010 exportinameless #10 19 26 387.92 -7010003 univnameless #3 17 11 387 +7010003 univnameless #3 17 11 387.00 6011001 amalgbrand #1 8 8 386.54 -1003001 exportiamalg #1 6 10 386.4 +1003001 exportiamalg #1 6 10 386.40 5001001 amalgscholar #1 17 1 384.75 5004002 edu packscholar #2 18 15 379.68 5001002 amalgscholar #2 9 39 378.56 @@ -759,8 +759,8 @@ 5003001 exportischolar #1 18 43 374.68 8002009 importonameless #9 8 46 371.42 3002001 importoexporti #1 17 33 369.75 -3003002 exportiexporti #2 9 20 367.9 -5002001 importoscholar #1 18 53 365.1 +3003002 exportiexporti #2 9 20 367.90 +5002001 importoscholar #1 18 53 365.10 7015007 scholarnameless #7 18 44 357.84 8014005 edu packmaxi #5 17 2 352.36 10004004 edu packunivamalg #4 19 3 344.64 @@ -772,41 +772,41 @@ 8011009 amalgmaxi #9 19 26 328.35 5002002 importoscholar #2 9 7 328.26 9008002 namelessmaxi #2 18 6 327.95 -5001001 amalgscholar #1 17 19 323.9 +5001001 amalgscholar #1 17 19 323.90 5003002 exportischolar #2 17 26 320.31 -3002001 importoexporti #1 18 31 319.9 -8013007 exportimaxi #7 17 49 318.2 -6011008 amalgbrand #8 8 13 315.1 +3002001 importoexporti #1 18 31 319.90 +8013007 exportimaxi #7 17 49 318.20 +6011008 amalgbrand #8 8 13 315.10 3003002 exportiexporti #2 7 37 313.24 -7014001 edu packnameless #1 18 38 312.8 +7014001 edu packnameless #1 18 38 312.80 1003002 exportiamalg #2 19 42 304.64 2004002 edu packimporto #2 9 24 304.36 -3003001 exportiexporti #1 8 58 302.4 +3003001 exportiexporti #1 8 58 302.40 4004001 edu packedu pack #1 19 11 300.48 6012005 importobrand #5 19 25 299.52 4004001 edu packedu pack #1 19 48 276.92 2001002 amalgimporto #2 18 20 276.77 -2002001 importoimporto #1 18 1 273.6 -1004002 edu packamalg #2 8 49 264.6 +2002001 importoimporto #1 18 1 273.60 +1004002 edu packamalg #2 8 49 264.60 8003010 exportinameless #10 19 57 263.19 4003001 exportiedu pack #1 18 37 260.23 3003001 exportiexporti #1 9 48 258.39 7012003 importonameless #3 9 2 258.24 5002001 importoscholar #1 18 38 257.53 6005001 scholarcorp #1 17 43 256.48 -5001002 amalgscholar #2 17 44 255 -4001002 amalgedu pack #2 7 6 253.8 -2001002 amalgimporto #2 19 25 253.5 +5001002 amalgscholar #2 17 44 255.00 +4001002 amalgedu pack #2 7 6 253.80 +2001002 amalgimporto #2 19 25 253.50 1001001 amalgamalg #1 8 16 253.34 5002002 importoscholar #2 17 51 252.56 -1002002 importoamalg #2 18 29 250.8 +1002002 importoamalg #2 18 29 250.80 9015009 scholarunivamalg #9 8 28 248.27 3001001 amalgexporti #1 19 57 247.68 6003008 exporticorp #8 18 47 244.44 1004002 edu packamalg #2 19 9 242.25 -2004001 edu packimporto #1 17 48 241.5 -3003002 exportiexporti #2 9 27 234.6 -1001001 amalgamalg #1 19 54 234 +2004001 edu packimporto #1 17 48 241.50 +3003002 exportiexporti #2 9 27 234.60 +1001001 amalgamalg #1 19 54 234.00 2002001 importoimporto #1 18 33 232.56 4003001 exportiedu pack #1 19 20 231.99 5003001 exportischolar #1 19 27 231.84 @@ -814,9 +814,9 @@ 4001001 amalgedu pack #1 19 45 227.84 5002002 importoscholar #2 17 27 227.52 5004001 edu packscholar #1 18 30 225.21 -2002001 importoimporto #1 17 51 222.8 +2002001 importoimporto #1 17 51 222.80 7004009 edu packbrand #9 19 36 221.85 -3003002 exportiexporti #2 17 21 221.2 +3003002 exportiexporti #2 17 21 221.20 8005008 scholarnameless #8 18 20 220.83 6003008 exporticorp #8 17 16 218.16 6008005 namelesscorp #5 18 51 216.69 @@ -829,11 +829,11 @@ 3002001 importoexporti #1 9 26 209.95 6010005 univbrand #5 17 3 208.32 7004009 edu packbrand #9 17 25 208.25 -7010004 univnameless #4 19 23 208.2 -9012005 importounivamalg #5 18 4 205.7 +7010004 univnameless #4 19 23 208.20 +9012005 importounivamalg #5 18 4 205.70 3003001 exportiexporti #1 7 23 203.61 1001002 amalgamalg #2 19 48 203.28 -4003001 exportiedu pack #1 8 1 202.3 +4003001 exportiedu pack #1 8 1 202.30 2004001 edu packimporto #1 19 10 202.12 4001002 amalgedu pack #2 17 53 198.33 6010005 univbrand #5 8 18 197.37 @@ -841,13 +841,13 @@ 1004001 edu packamalg #1 17 26 194.18 7004009 edu packbrand #9 17 42 193.39 3001001 amalgexporti #1 17 33 191.98 -1001002 amalgamalg #2 17 26 190.5 +1001002 amalgamalg #2 17 26 190.50 3002001 importoexporti #1 8 1 186.93 -9015009 scholarunivamalg #9 19 9 186.3 -2003001 exportiimporto #1 19 11 184.9 -6003008 exporticorp #8 6 32 182.9 +9015009 scholarunivamalg #9 19 9 186.30 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1 Electronics 13 31709.80 catalog cs_ship_addr_sk 1998 1 Home 12 11651.18 catalog cs_ship_addr_sk 1998 1 Jewelry 13 13102.23 catalog cs_ship_addr_sk 1998 1 Men 11 17458.37 catalog cs_ship_addr_sk 1998 1 Music 13 6741.65 catalog cs_ship_addr_sk 1998 1 Shoes 9 24531.24 -catalog cs_ship_addr_sk 1998 1 Sports 9 19244.5 -catalog cs_ship_addr_sk 1998 1 Women 13 24864.5 +catalog cs_ship_addr_sk 1998 1 Sports 9 19244.50 +catalog cs_ship_addr_sk 1998 1 Women 13 24864.50 catalog cs_ship_addr_sk 1998 2 \N 1 1535.61 catalog cs_ship_addr_sk 1998 2 Books 14 16581.16 catalog cs_ship_addr_sk 1998 2 Children 12 26195.71 @@ -33,7 +33,7 @@ catalog cs_ship_addr_sk 1998 3 Sports 25 35679.92 catalog cs_ship_addr_sk 1998 3 Women 22 48029.28 catalog cs_ship_addr_sk 1998 4 \N 2 839.65 catalog cs_ship_addr_sk 1998 4 Books 28 46283.99 -catalog cs_ship_addr_sk 1998 4 Children 40 57305.9 +catalog cs_ship_addr_sk 1998 4 Children 40 57305.90 catalog cs_ship_addr_sk 1998 4 Electronics 29 42656.07 catalog cs_ship_addr_sk 1998 4 Home 29 29708.36 catalog cs_ship_addr_sk 1998 4 Jewelry 29 24689.26 @@ -46,17 +46,17 @@ catalog cs_ship_addr_sk 1999 1 Books 14 35278.57 catalog cs_ship_addr_sk 1999 1 Children 13 17183.17 catalog cs_ship_addr_sk 1999 1 Electronics 4 153.18 catalog cs_ship_addr_sk 1999 1 Home 11 19895.88 -catalog cs_ship_addr_sk 1999 1 Jewelry 9 1341.9 +catalog cs_ship_addr_sk 1999 1 Jewelry 9 1341.90 catalog cs_ship_addr_sk 1999 1 Men 9 6625.86 catalog cs_ship_addr_sk 1999 1 Music 10 27861.23 -catalog cs_ship_addr_sk 1999 1 Shoes 15 5365.2 +catalog cs_ship_addr_sk 1999 1 Shoes 15 5365.20 catalog cs_ship_addr_sk 1999 1 Sports 9 10745.83 catalog cs_ship_addr_sk 1999 1 Women 11 15388.74 catalog cs_ship_addr_sk 1999 2 Books 6 3659.91 -catalog cs_ship_addr_sk 1999 2 Children 13 6066.5 -catalog cs_ship_addr_sk 1999 2 Electronics 10 14915.5 +catalog cs_ship_addr_sk 1999 2 Children 13 6066.50 +catalog cs_ship_addr_sk 1999 2 Electronics 10 14915.50 catalog cs_ship_addr_sk 1999 2 Home 13 12035.96 -catalog cs_ship_addr_sk 1999 2 Jewelry 6 23975 +catalog cs_ship_addr_sk 1999 2 Jewelry 6 23975.00 catalog cs_ship_addr_sk 1999 2 Men 13 16414.16 catalog cs_ship_addr_sk 1999 2 Music 13 6061.53 catalog cs_ship_addr_sk 1999 2 Shoes 10 12500.71 @@ -80,7 +80,7 @@ catalog cs_ship_addr_sk 1999 4 Home 46 51713.78 catalog cs_ship_addr_sk 1999 4 Jewelry 34 44238.07 catalog cs_ship_addr_sk 1999 4 Men 19 17925.34 catalog cs_ship_addr_sk 1999 4 Music 28 14816.79 -catalog cs_ship_addr_sk 1999 4 Shoes 35 48226.5 +catalog cs_ship_addr_sk 1999 4 Shoes 35 48226.50 catalog cs_ship_addr_sk 1999 4 Sports 32 35012.19 catalog cs_ship_addr_sk 1999 4 Women 30 24033.32 catalog cs_ship_addr_sk 2000 1 Books 15 50786.51 @@ -98,6 +98,6 @@ catalog cs_ship_addr_sk 2000 2 Children 8 7309.74 catalog cs_ship_addr_sk 2000 2 Electronics 9 11856.27 catalog cs_ship_addr_sk 2000 2 Home 8 10107.78 catalog cs_ship_addr_sk 2000 2 Jewelry 9 19113.02 -catalog cs_ship_addr_sk 2000 2 Men 12 41513.9 +catalog cs_ship_addr_sk 2000 2 Men 12 41513.90 catalog cs_ship_addr_sk 2000 2 Music 10 7181.12 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out index dfa4cc83a3..bb5c92fb41 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q77.out @@ -1,28 +1,28 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q77 -- -\N \N 562937653.47 12490154.95 -100351224 +\N \N 562937653.47 12490154.95 -100351224.00 catalog channel \N 538912.55 2050279.74 -1383554.73 catalog channel \N 404410817.75 8201118.96 -42762489.82 catalog channel 1 132885061.65 2050279.74 -12674076.58 catalog channel 2 140503047.65 2050279.74 -14906564.08 -catalog channel 5 130483795.9 2050279.74 -13798294.43 -store channel \N 117249373.32 3173554.99 -52383291.2 +catalog channel 5 130483795.90 2050279.74 -13798294.43 +store channel \N 117249373.32 3173554.99 -52383291.20 store channel 1 20390161.35 562762.31 -9133254.67 -store channel 2 19807085.95 539649.43 -8817821 -store channel 4 19599593.2 557973 -8389920.41 +store channel 2 19807085.95 539649.43 -8817821.00 +store channel 4 19599593.20 557973.00 -8389920.41 store channel 7 19480205.51 520479.41 -8861241.78 -store channel 8 18636331.6 472731.69 -8409599.72 +store channel 8 18636331.60 472731.69 -8409599.72 store channel 10 19335995.71 519959.15 -8771453.62 -web channel \N 41277462.4 1115481 -5205442.98 +web channel \N 41277462.40 1115481.00 -5205442.98 web channel 1 1226811.57 28406.98 -227375.53 web channel 2 1191229.91 99179.48 -264992.86 web channel 5 1467083.19 21625.36 -147366.78 web channel 7 1343208.21 67708.76 -200969.21 -web channel 8 1262065.97 46749.46 -271001.7 +web channel 8 1262065.97 46749.46 -271001.70 web channel 11 1425934.76 10034.84 -84693.54 -web channel 13 1335813.6 62142.91 -218022.02 +web channel 13 1335813.60 62142.91 -218022.02 web channel 14 1469352.58 50742.65 -197789.09 -web channel 17 1219451.02 28732.85 -205497.3 +web channel 17 1219451.02 28732.85 -205497.30 web channel 19 1343058.55 24108.59 -175397.06 web channel 20 1511303.97 42538.28 -89439.28 web channel 23 1409483.07 37116.42 -89855.78 @@ -30,18 +30,18 @@ web channel 25 1370755.17 48916.38 -207512.02 web channel 26 1465712.89 48072.56 -157007.72 web channel 29 1407813.82 19233.11 -188381.47 web channel 31 1369226.19 25494.42 -180972.91 -web channel 32 1166947.23 50731.53 -189061.6 +web channel 32 1166947.23 50731.53 -189061.60 web channel 35 1400811.57 22363.43 -189390.67 web channel 37 1407716.73 32534.27 -127244.28 web channel 38 1444241.42 41815.25 -135372.36 web channel 41 1492530.29 19599.96 -101110.49 -web channel 43 1343104.79 41175.01 -227340.1 -web channel 44 1416507.16 37134.99 -274620.1 +web channel 43 1343104.79 41175.01 -227340.10 +web channel 44 1416507.16 37134.99 -274620.10 web channel 47 1449718.94 15989.92 -105473.72 web channel 49 1414898.83 45004.31 -146020.31 web channel 50 1319375.84 28284.26 -151036.44 web channel 53 1389137.89 24570.34 -120694.61 -web channel 55 1463362.3 38157.61 -154431.83 +web channel 55 1463362.30 38157.61 -154431.83 web channel 56 1355553.42 46633.14 -164174.45 web channel 59 1395251.52 10683.93 -213197.75 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out index f5790b54ab..ff311291d9 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q79.out @@ -2,7 +2,7 @@ -- !q79 -- Fairview 158139 3721.39 -23039.01 Fairview 30114 165.75 -17434.48 - Fairview 213610 0 -14406.65 + Fairview 213610 0.00 -14406.65 Fairview 167006 2257.97 -13398.38 Fairview 129036 612.76 -9951.35 Fairview 146799 1201.82 -9526.13 @@ -13,14 +13,14 @@ Fairview 163421 1367.41 -4442.71 Fairview 191089 774.36 -4209.49 Fairview 142379 1419.98 -3892.46 - Fairview 230904 0 -2575.26 + Fairview 230904 0.00 -2575.26 Fairview 66717 1521.09 -2431.95 - Fairview 198542 1082.91 -1789.2 + Fairview 198542 1082.91 -1789.20 Fairview 7153 9.96 -984.62 - Midway 103268 0 \N + Midway 103268 0.00 \N Midway 113867 \N \N Midway 9441 1109.31 -26407.61 - Midway 24453 3762.75 -23692 + Midway 24453 3762.75 -23692.00 Midway 2018 29.76 -22410.59 Midway 132924 1156.08 -21285.03 Midway 8272 4708.31 -20242.53 @@ -28,17 +28,17 @@ Midway 178696 81.17 -17671.47 Midway 217339 1865.02 -17373.08 Midway 230663 285.65 -17047.31 - Midway 229921 3612.1 -16374.27 + Midway 229921 3612.10 -16374.27 Midway 229149 92.42 -16316.52 Midway 4209 2424.02 -16215.01 Midway 103927 4067.95 -15388.67 Midway 22249 283.79 -15294.16 - Midway 103268 0 -14413.59 + Midway 103268 0.00 -14413.59 Midway 109831 7442.01 -14038.22 - Midway 154925 0 -13975.29 + Midway 154925 0.00 -13975.29 Midway 77368 6332.15 -13973.11 Midway 159742 3230.63 -13929.03 - Midway 45822 4014.71 -13350.5 + Midway 45822 4014.71 -13350.50 Midway 13424 2244.41 -13337.11 Midway 177932 5919.58 -13201.49 Midway 64117 3900.85 -13187.49 @@ -47,25 +47,25 @@ Midway 362 545.72 -12767.12 Midway 88444 290.18 -12645.67 Midway 223610 277.11 -12432.76 - Midway 214448 4036.02 -12189.2 - Midway 152765 0 -12123.91 + Midway 214448 4036.02 -12189.20 + Midway 152765 0.00 -12123.91 Midway 42870 834.21 -12044.33 Midway 185866 1172.46 -12011.29 - Midway 22110 292.16 -11529.3 - Midway 43495 4179.63 -11521.1 + Midway 22110 292.16 -11529.30 + Midway 43495 4179.63 -11521.10 Midway 70505 979.13 -11422.12 Midway 27979 3118.44 -11169.87 Midway 37443 5935.63 -11079.34 Midway 83601 8274.69 -11017.35 Midway 71117 3317.76 -10629.69 - Midway 115373 295.4 -10518.54 + Midway 115373 295.40 -10518.54 Midway 10538 80.37 -10327.22 Midway 2597 8185.89 -9982.61 Midway 126177 5045.26 -9902.09 - Midway 44461 0 -9796.43 + Midway 44461 0.00 -9796.43 Midway 44330 2073.16 -9774.23 - Midway 109728 2083.9 -9357.2 - Midway 88663 0 -9197.71 + Midway 109728 2083.90 -9357.20 + Midway 88663 0.00 -9197.71 Midway 210261 1590.93 -9191.73 Midway 147740 2601.24 -8887.25 Midway 128634 362.34 -8867.85 @@ -76,27 +76,27 @@ Midway 153601 1826.35 -7760.98 Midway 176664 404.35 -7609.57 Midway 152807 885.79 -7355.92 - Midway 234655 0 -7284.12 + Midway 234655 0.00 -7284.12 Midway 216619 10.99 -7107.27 Midway 13073 7191.35 -7052.08 Midway 228411 63.05 -7003.42 - Midway 215748 2886.3 -6809.03 - Midway 102114 0 -6638.65 + Midway 215748 2886.30 -6809.03 + Midway 102114 0.00 -6638.65 Midway 76802 492.45 -6584.79 Midway 28961 1012.33 -6571.16 - Midway 218338 0 -6520.72 + Midway 218338 0.00 -6520.72 Midway 230745 335.47 -6460.48 Midway 118548 960.04 -6150.21 Midway 70150 690.04 -6022.55 Midway 63058 543.97 -5986.27 Midway 64280 1881.76 -5952.31 - Midway 23868 0 -5875.89 + Midway 23868 0.00 -5875.89 Midway 7696 36.03 -5756.62 Midway 157905 2733.35 -5737.13 Midway 164719 63.69 -5651.93 - Midway 145180 0 -5393.65 + Midway 145180 0.00 -5393.65 Midway 25768 563.65 -5382.14 - Midway 6159 0 -5326.19 + Midway 6159 0.00 -5326.19 Midway 10660 88.71 -4082.71 Midway 69241 804.35 -3962.88 Midway 144321 293.21 -3652.26 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out index d8e1bd823d..1c548d028d 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q80.out @@ -1,103 +1,103 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q80 -- -\N \N 13343451.5 687196.48 -4060382.36 +\N \N 13343451.50 687196.48 -4060382.36 catalog channel \N 4456215.06 230287.89 -614823.52 catalog channel catalog_pageAAAAAAAAAAABAAAA 19965.69 3132.48 -16011.54 -catalog channel catalog_pageAAAAAAAAABABAAAA 14376.88 380.9 -3715.45 -catalog channel catalog_pageAAAAAAAAACABAAAA 4427.58 0 -6520.01 -catalog channel catalog_pageAAAAAAAAADABAAAA 8488.29 0 -3247.97 -catalog channel catalog_pageAAAAAAAAADCBAAAA 16052.65 0 -5900.88 -catalog channel catalog_pageAAAAAAAAAEABAAAA 10314.44 0 -7096.25 +catalog channel catalog_pageAAAAAAAAABABAAAA 14376.88 380.90 -3715.45 +catalog channel catalog_pageAAAAAAAAACABAAAA 4427.58 0.00 -6520.01 +catalog channel catalog_pageAAAAAAAAADABAAAA 8488.29 0.00 -3247.97 +catalog channel catalog_pageAAAAAAAAADCBAAAA 16052.65 0.00 -5900.88 +catalog channel catalog_pageAAAAAAAAAEABAAAA 10314.44 0.00 -7096.25 catalog channel catalog_pageAAAAAAAAAECBAAAA 2857.44 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You should know what you did if you want to edit this -- !q82 -- AAAAAAAAECMCAAAA Rather vast companies pose quiet, actual carers. Close times take only simple possibilities. Current events might say only on a foundation 67.28 -AAAAAAAALIHCAAAA Things select increased views. Tools imagine for example; ever likely developments live so scottish benefits. Soft, short-term services should give indeed good illu 86.9 +AAAAAAAALIHCAAAA Things select increased views. Tools imagine for example; ever likely developments live so scottish benefits. Soft, short-term services should give indeed good illu 86.90 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out index 821a2547c5..f43d6dc8b1 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q83.out @@ -1,24 +1,24 @@ -- This file is automatically generated. 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+2,7 @@ -- !q86 -- 325552630.64 \N \N 2 1 33602545.41 Shoes \N 1 1 -33399717.8 Music \N 1 2 +33399717.80 Music \N 1 2 33061835.62 Women \N 1 3 32942681.04 Books \N 1 4 32233369.67 Men \N 1 5 @@ -12,8 +12,8 @@ 31877378.15 Children \N 1 9 31428816.29 Home \N 1 10 935154.67 \N \N 1 11 -476839.6 \N 0 1 -88724.3 \N womens 0 2 +476839.60 \N 0 1 +88724.30 \N womens 0 2 43184.49 \N glassware 0 3 40345.26 \N flatware 0 4 36841.11 \N baseball 0 5 @@ -22,13 +22,13 @@ 32159.86 \N archery 0 8 30361.13 \N outdoor 0 9 29969.36 \N dresses 0 10 -25780.8 \N pants 0 11 +25780.80 \N pants 0 11 25714.74 \N sports-apparel 0 12 21122.88 \N tennis 0 13 15602.52 \N semi-precious 0 14 2981755.34 Books history 0 1 -2533681.9 Books romance 0 2 -2513406.9 Books computers 0 3 +2533681.90 Books romance 0 2 +2513406.90 Books computers 0 3 2359621.74 Books fiction 0 4 2220829.36 Books home repair 0 5 2132619.93 Books reference 0 6 @@ -36,10 +36,10 @@ 1938302.12 Books parenting 0 8 1916049.65 Books science 0 9 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eing Unknown 5 765.86 2137.65 +Women dresses amalgamalg #2 ation Unknown 4 1064.70 2431.22 +Women dresses amalgamalg #2 ought Unknown 3 991.89 2355.44 +Women dresses amalgamalg #2 eing Unknown 5 1211.13 2569.34 +Women dresses amalgamalg #2 ation Unknown 7 1078.41 2431.22 Men shirts importoimporto #2 ation Unknown 4 807.67 2141.06 -Women dresses amalgamalg #2 ation Unknown 2 1102.89 2431.226666667 -Women dresses amalgamalg #2 eing Unknown 6 1247.86 2569.346666667 -Women dresses amalgamalg #2 able Unknown 4 1020.39 2337.278333333 -Men shirts importoimporto #2 able Unknown 7 780.91 2095.470833333 -Women dresses amalgamalg #2 ese Unknown 2 904.34 2200.820833333 -Women dresses amalgamalg #2 ought Unknown 7 1061.87 2355.441666667 -Women dresses amalgamalg #2 able Unknown 3 1054.94 2337.278333333 -Men shirts importoimporto #2 ought Unknown 6 633.96 1908.056666667 -Men shirts importoimporto #2 ese Unknown 6 853.37 2113.573333333 -Women dresses amalgamalg #2 able Unknown 5 1084.94 2337.278333333 -Women dresses amalgamalg #2 eing Unknown 4 1317.08 2569.346666667 +Women dresses amalgamalg #2 ation Unknown 2 1102.89 2431.22 +Women dresses amalgamalg #2 eing Unknown 6 1247.86 2569.34 +Women dresses amalgamalg #2 able Unknown 4 1020.39 2337.27 +Men shirts importoimporto #2 able Unknown 7 780.91 2095.47 +Women dresses amalgamalg #2 ese Unknown 2 904.34 2200.82 +Women dresses amalgamalg #2 ought Unknown 7 1061.87 2355.44 +Women dresses amalgamalg #2 able Unknown 3 1054.94 2337.27 +Men shirts importoimporto #2 ought Unknown 6 633.96 1908.05 +Men shirts importoimporto #2 ese Unknown 6 853.37 2113.57 +Women dresses amalgamalg #2 able Unknown 5 1084.94 2337.27 +Women dresses amalgamalg #2 eing Unknown 4 1317.08 2569.34 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out index acf5de4ea5..51acdbf4db 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q90.out @@ -1,4 +1,4 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q90 -- -0.612440191 +0.6124401913875598 diff --git a/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out b/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out index ca8b13decb..b1942aa1aa 100644 --- a/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out +++ b/regression-test/data/datev2/tpcds_sf1_p1/sql/q98.out @@ -1,2519 +1,2519 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !q98 -- -AAAAAAAAOJGAAAAA Books \N 2102.35 17.177591795 -AAAAAAAAAAKAAAAA Small, political activities help great, bad policies. Therefore square features provide on a machines. Rules make over me Books arts 2.42 9866.76 3.169167309 -AAAAAAAAACKBAAAA Clinical, inc initiatives make specially according to a activities. Books arts 6.92 9562.33 3.071385504 -AAAAAAAAAIJCAAAA Simply small grounds use exactly effects. Services could kill especially aware, large observers. Civil, relevant years ensure regulations; clear drawings realize actors. Products employ a Books arts 1.76 7565.38 2.42997245 -AAAAAAAAAJIAAAAA Joint, superior police would use through an restrictions. Buyers ought to contract generally in a efforts. Days cut also sure, frequent s Books arts 0.43 1648.81 0.529591756 -AAAAAAAABFHDAAAA Little days answer in a emotions; players touch. Books arts 2.58 18486.63 5.937838099 -AAAAAAAABHDCAAAA Minor heads close common children; recently strong firms provide. Useful, young men ought to create changes. Popular, common regulations might decide. Points fit. Obvious, glad officials Books arts 3.88 5219.85 1.676596773 -AAAAAAAACBACAAAA Remaining, main passengers go far sure men. Books arts 4.78 1306.2 0.419546674 -AAAAAAAACCLCAAAA Multiple, personal attitudes change so. Major, international companies can give scales. Strong women may take there expensive scores Books arts 45.8 3235.97 1.039381756 -AAAAAAAACKDBAAAA Positions can win increasingly entire units. Unions used to exclude fairly afraid fans. National fields appear also ways. Great lips print new teachers. Constant, primary deaths expect a little Books arts 3.82 5246.53 1.685166292 -AAAAAAAACKEAAAAA Legs appear eventually soci Books arts 35.27 372 0.119485043 -AAAAAAAACMDCAAAA Black, powerful others go now years. Diverse orders might not mean away medium minutes; tight authorities ought to put however for the things Books arts 2.75 7486.65 2.404684662 -AAAAAAAACNEDAAAA Particularly labour stores get farmers. Hence true records see rel Books arts 6.89 6909.55 2.219322247 -AAAAAAAADCCDAAAA Glad users understand very almost original jobs. Towns can understand. Supreme, following days work by a parents; german, crucial weapons work sure; fair pictur Books arts 7.18 3918.06 1.258466575 -AAAAAAAADJFCAAAA Significant, preliminary boys can remain lightly more pale discussion Books arts 2.74 4388.55 1.409586246 -AAAAAAAADPCCAAAA Especially true items might supply particularly. Black, automatic words might develop post-war problems. Fresh, visible workers could not appe Books arts 4.23 4697.04 1.508672109 -AAAAAAAAEDKDAAAA Times live now to a sales. British years bring all financ Books arts 4.24 1275.3 0.409621707 -AAAAAAAAEGAEAAAA Far injuries pay so various arms. Courses could go anywhere universal possibilities; talks stand since mean, colonial scho Books arts 9.57 15285.33 4.909592221 -AAAAAAAAEPDDAAAA Services used to work most new provi Books arts 2.84 21563.43 6.926095032 -AAAAAAAAEPKAAAAA Here political studies give once at the qu Books arts 1.78 1382.17 0.443947961 -AAAAAAAAFBMBAAAA Years light glasses. 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Unions must not say narrow powers; individual ti Books arts 8.96 6984.06 2.243254588 -AAAAAAAAGFHBAAAA Contemporary occasions provide she Books arts 1.75 3241.4 1.041125852 -AAAAAAAAGHOBAAAA Fully existing proceedings could not tak Books arts 8.66 4170.81 1.339648953 -AAAAAAAAGOKBAAAA Othe Books arts 60.94 6652.8 2.136855084 -AAAAAAAAHPNCAAAA Correct, certain humans cut Books arts 37.98 9798.84 3.147351653 -AAAAAAAAIAOAAAAA Professional circumstances could live else others. Symptoms can see very leaves. Just personal institutions used to go. Capable workers used to play then able police. Books arts 2.4 4537.62 1.457466986 -AAAAAAAAIEPCAAAA New, popular years should think. Shareholders speak also friends; special members could not identify social eyes; indoors full Books arts 0.91 5051.97 1.62267433 -AAAAAAAAIHKBAAAA Very historic arms may happen even able exis Books arts 9.19 2354.36 0.756211841 -AAAAAAAAIIPDAAAA Af Books arts 6.04 4187.03 1.344858758 -AAAAAAAAIJGAAAAA Then western animals could teach somewhere. Today waiting servants confuse Books arts 4.1 482.94 0.155118566 -AAAAAAAAJJDBAAAA Problems compete with a sets. Interesting, automatic pounds tell complete hills. Books arts 1.2 5101.56 1.638602457 -AAAAAAAAKGBAAAAA Light moments cannot date following sy Books arts 5.6 12613.35 4.051361995 -AAAAAAAAKICDAAAA Wet, concerned representatives get up to a owners. Necessary, like Books arts 1.89 9408.31 3.021914842 -AAAAAAAAKKIAAAAA Naked, popular schemes campaign then offices. Underlying shares may join Books arts 79.28 19283.43 6.193767352 -AAAAAAAAKNBCAAAA Early, powerful towns add mainly english savings. Years assist then new, public colleagues. Things might encounter then right new features Books arts 6.89 726.18 0.233246366 -AAAAAAAAMFFAAAAA Communities used to relocate clearly strange, new walls; european, rich championships make current depths. Sure studies may reflect only instinctively old forces. Foreign, diverse Books arts 8.22 4909.04 1.576765735 -AAAAAAAANIBAAAAA Beneath decent wives write t Books arts 2.72 13655.65 4.386144951 -AAAAAAAAOEIDAAAA Electoral occupations assemble exchanges; als Books arts 2.2 12221.89 3.925626471 -AAAAAAAAOJJCAAAA Troops take only, right dogs. Briefly genuine eyes used to provide mutually coming, just parents. Too social services shall feel only rec Books arts 6.4 1381.38 0.443694215 -AAAAAAAAOKPBAAAA Just good settings must not make; payments assure to a bishops. Principal, sorry amounts would safeguard very so other leaders; tory, substantial stairs m Books arts 2.6 11430.27 3.671361016 -AAAAAAAAOPKCAAAA Less imp Books arts 9.12 21212.29 6.813310146 -AAAAAAAAPIEBAAAA Main cheeks must put Books arts 0.45 6256.69 2.009625998 -AAAAAAAAPLLDAAAA Old eyes could not give later issues. Claims might Books arts 9 9406.36 3.021288509 -AAAAAAAAABMBAAAA Situations retain; units might sit operations; girls shall make. Ca Books business 3.16 16355.93 6.736509861 -AAAAAAAAACEBAAAA Prese Books business 15.17 2637.41 1.086268923 -AAAAAAAAAKBDAAAA Essential students change even despite a powers. General connections will not maximi Books business 3.1 4074.8 1.678286125 -AAAAAAAAANHCAAAA High ministers should not remove for a stations. Certain, linear weeks might not ask so from a improvements. Lakes must not implement f Books business 4.8 3539.41 1.457775276 -AAAAAAAABIPBAAAA Ultimate, other objects might not install good Books business 2.57 4776.44 1.96727029 -AAAAAAAABKACAAAA Total pp. accept with a questions; able, generous a Books business 5.25 1316.93 0.542403393 -AAAAAAAABMDDAAAA Head facts resolve even. Characteristics put. Toxic, genuine officials shall not meet. Difficult chil Books business 3.85 3023.83 1.245423563 -AAAAAAAACDBCAAAA Tiny years could run too above tough volumes. New germans must not leave as possible sales; inj Books business 1.22 52.8 0.021746713 -AAAAAAAACDIBAAAA Small results would go colours; sexual agencies ought to assure moreover unique premises; then complex provisions use often normal windows. Better educational girls should not believe however struct Books business 9.78 8105.34 3.338342903 -AAAAAAAACEACAAAA Other, direct letters ought to make from a ways. British, large men could not work a Books business 0.48 14335.55 5.904376818 -AAAAAAAACEPBAAAA Long, married artists would see negative feelings. Emot Books business 1.73 7909.27 3.257587636 -AAAAAAAADHNCAAAA Originally major industries matter mediterranean bodies. Cases should not Books business 45.06 473.11 0.194859612 -AAAAAAAADNDDAAAA Clear, harsh police used to include large, appropriate plans. Prices could produce more. There white weapons expect directly free conclusions. Responsibl Books business 4.57 14429.31 5.942993709 -AAAAAAAAEICAAAAA Cases include proudly without a columns. Solid, pre Books business 2.42 8853.82 3.646619039 -AAAAAAAAEILDAAAA Bad, able systems shall fall else. Nuclear, economic ways put in an paths. Serious, labour women must not muster however. Wide new readers ought to help Books business 1.36 4211.38 1.734539271 -AAAAAAAAFGJCAAAA Secondary, red structures may seek eyes. High true titles should make now junior fat thoughts. Partly excellent authorities receive direct, net parties. Parents look most also other issues. Empty, con Books business 8.59 11006.14 4.533094152 -AAAAAAAAFLMDAAAA Significantly relevant colleges extract knowingly broad investors. Entire members stay. Mediterranean legs would cut on the knees. Forthcoming, particular students u Books business 4.81 6614.94 2.724492495 -AAAAAAAAFNOCAAAA Wonderful systems ask also very parliamentary orders; british companies Books business 87.12 1370.57 0.564496077 -AAAAAAAAGFDCAAAA Particularly medieval blocks would not find slightly with a carers. Years respond about at a sec Books business 6 5441.25 2.241085299 -AAAAAAAAGLMCAAAA Crossly local relations know surely old excep Books business 37.62 1577.14 0.649575974 -AAAAAAAAGONBAAAA Ever top offers might struggle far, automatic men. Long-term, long goods dare however; new, other gr Books business 2.3 4793.37 1.974243242 -AAAAAAAAIBKDAAAA Hundreds drop nearly unacceptable accidents. Then strong methods tell large unions. Short companies should help so. Moves shall not set later chief problems. R Books business 0.78 12116.59 4.990454717 -AAAAAAAAIINDAAAA Frames can park highly parents. White ma Books business 6.97 20464.05 8.42851948 -AAAAAAAAIJECAAAA Difficult, royal units put particularly significant, other plans. Essential, contemporary journals will need players. Alternatively parental Books business 4.34 90.23 0.037162991 -AAAAAAAAIJJCAAAA Euro Books business 3.01 3615.47 1.489102075 -AAAAAAAAIKEAAAAA All Books business 9.44 2769.66 1.140738674 -AAAAAAAAIPADAAAA Orders go into the documents. Social, existing specialists will seem twice associated wishes. Finally nation Books business 5.15 661.44 0.272427009 -AAAAAAAAJMEDAAAA Personal, significant activities agree only by a couples. Elaborate aut Books business 3.06 3702.6 1.524988271 -AAAAAAAAKAJDAAAA Short neighbours implement innocently tiny titles. Briefly simple years should not tell potentially successful, whole years. Orange workers carry; home hot feet l Books business 4.43 1885.01 0.776378259 -AAAAAAAAKAKAAAAA Still urban stages shall not take for a legs. Other, holy demands pay further young, positive numbers. A little criminal i Books business 7.68 3467.43 1.428128904 -AAAAAAAAKLHBAAAA Types support already forms. So appropriate substances must not control perhaps nervous young years. Communist services must go decisive, conside Books business 5.43 7299.56 3.006466641 -AAAAAAAAKMAAAAAA Plans consult interested, light boys. Selective, other problems create scientific, young parties. Sufficient speakers might not kiss too social, basic interests. Dual, other times s Books business 0.19 4191.9 1.726516052 -AAAAAAAALDFAAAAA Hands may not allow only in a lands; linear, other pubs say; social, precise women identify for a patients. Preferences develop alone now rich motives. 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Electoral, standard stones worry still private scenes. Major, still bedrooms say all once effective years. Long new moments will own after the Books computers 9.19 2663.93 0.813862297 -AAAAAAAAIAMAAAAA Alone walls mus Books computers 2 8957.82 2.736720544 -AAAAAAAAIGCEAAAA Concerned numbers can attempt now particular, white friends; un Books computers 3.38 8336.53 2.54690906 -AAAAAAAAIGJAAAAA Probably terrible students may go. There whole issues get academic, soviet charts. Books computers 4.11 5316.51 1.624257033 -AAAAAAAAIHEEAAAA Personal, liable years shall not start dramatic, dema Books computers 4.92 45631.68 13.941020929 -AAAAAAAAIILCAAAA At least low personnel might a Books computers 9.13 7777.26 2.376045424 -AAAAAAAAJBADAAAA Mean, good relations wake however strictly white possibilities. About aw Books computers 6.42 7851.07 2.398595256 -AAAAAAAAJJGBAAAA Strangers gain officially enough labour problems. Overall systems may not help below lives. 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Else other areas would develop then on a consequences; responsibilities must exercise most average, fin Books cooking 3.29 2472.84 0.926753897 -AAAAAAAAAHKCAAAA Somewhere hot arms touch however before a members. New developers ought to deal polish cells. Days achieve into an interests. Bodie Books cooking 5.86 6965.58 2.610511966 -AAAAAAAAAHPAAAAA Surveys shall not ne Books cooking 4.61 8126.46 3.045578554 -AAAAAAAAAHPDAAAA Efforts used to perpetuate about various researchers; political days must fight rather than the days. Standards used to rush towards a ends. Slow, short signals used to show seemingly. Figures wo Books cooking 91.23 3094.41 1.159701609 -AAAAAAAAAJNDAAAA Physical, political decis Books cooking 6.76 1630.37 0.611018809 -AAAAAAAAAMACAAAA Best national participants forget. Usually clear efforts can operate on Books cooking 2.2 10381.99 3.89089051 -AAAAAAAAAOLAAAAA Near educational cases shall become big hotels. Periods should not Books cooking 5.92 1932.24 0.724151562 -AAAAAAAABINAAAAA Below invisi Books cooking 9.59 6854.08 2.568724766 -AAAAAAAABONAAAAA Gains cannot cross colourful, long individuals. Drily red difficulties may not say to a plans. Very different cases ta Books cooking 1.6 2682.59 1.005362553 -AAAAAAAACBDCAAAA Well independent scores fight rare changes. Scottish rights would not give; implicit, modern services like yet. Conservative, effective yards should marry about a buildings. Valid, m Books cooking 0.5 8850.95 3.317097913 -AAAAAAAACDKBAAAA Unique, commercial discussions mark then social, top states; organizations will not hit never still traditional programmes. Social, afraid papers ought to meet english egg Books cooking 2.98 3583.18 1.342879454 -AAAAAAAADEIBAAAA Then attractive practices establish also at a issues; more independent records can inject even weak confidential bands. General parts will come culturally national standards. Books cooking 8.9 1781.95 0.667826914 -AAAAAAAAECPBAAAA Alone, following police will not expect mentally clothes. Dramatic, american weeks will not leap so central images. Costs remedy below black, easy letters. Parties ought to come more for a Books cooking 17.66 2891.75 1.083750094 -AAAAAAAAEHIDAAAA Potential years would lay in order strong jobs. Times cannot allow specif Books cooking 3.65 6197.62 2.322701221 -AAAAAAAAEPJDAAAA Over demanding subjects may not look of course after a pos Books cooking 6.49 15543.46 5.82527059 -AAAAAAAAGADEAAAA Girls may use chri Books cooking 4.37 736.8 0.276132815 -AAAAAAAAGALAAAAA Great, only pages might not contribute so; small components require on a films. Times find apparently. So traditional sources find conditions. Gro Books cooking 3.4 11257.89 4.219154263 -AAAAAAAAGBGBAAAA Somehow revolutionary sh Books cooking 7.1 5940.5 2.226339563 -AAAAAAAAGEDDAAAA Available workshops might direct directly. Conditions must satisfy also upper reactions. 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Public, objective elections loosen no longer children; political, central movements speak Books cooking 9.42 1847.54 0.692408281 -AAAAAAAAJFKBAAAA Meanwhile wet products ascerta Books cooking 5.4 5658.87 2.120792216 -AAAAAAAAJHGAAAAA Recent tools should spee Books cooking 20.16 6532.08 2.448047829 -AAAAAAAAKCCAAAAA Possible schools carry primarily dual rises; important meetings could continue other passengers. More scottish things might not fall orders. Right, unable expectati Books cooking 4.44 2945.69 1.103965354 -AAAAAAAAKEJAAAAA Other, atlantic regions know fast. Li Books cooking 68.84 11613.62 4.352472296 -AAAAAAAAKFMCAAAA Endless, vocational contracts would not stabilise churches. French, good cities light somehow on a offices. Now serious things raise for a walls; certain, c Books cooking 0.23 3226.22 1.20910045 -AAAAAAAAKJGDAAAA International eyes might see sales. Joint universities must not hold somewhat with a days. Perfect, profitable trials ought to seem; even pale quantities Books cooking 0.94 1936.79 0.72585678 -AAAAAAAAKNIBAAAA Subjects will read too. Reduced, identical patients like through a animals. At least unable c Books cooking 0.12 1530.24 0.573492779 -AAAAAAAALBKAAAAA Conditions used to test so for a spirits; open, royal provisions might not look approximate Books cooking 36.97 4187.77 1.569463518 -AAAAAAAALIGAAAAA There superb accidents may strike individual results. Quiet, only forests drop as little unlikely towns. Observations can discern with a points. Substantial banks dest Books cooking 0.88 8104.81 3.037464717 -AAAAAAAAMBCCAAAA Schools ought to consider married sources. Then opening modules matter generally this apparent deals; times shall read units. Steps may stop. About modern others alter Books cooking 8.4 11030.92 4.134092014 -AAAAAAAAMHIBAAAA Labour, happy rates stop details. Purposes say small, dead times; tickets will act hopefully yesterday considerable products. 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Vague, smal Sports pools 0.74 13660.56 3.78 +AAAAAAAALCCBAAAA Likely opportunities used to exercise quiet, present children. Early, limited reasons mean also small types. Possible cases will not stop inevitably major, safe eyebrows. Also economic Sports pools 8.65 2489.21 0.69 +AAAAAAAALFMDAAAA Conditions want well enormous, proper cells; claims ought to clear now to the times. As well divine surfaces know persistent, ha Sports pools 74.70 1363.09 0.37 +AAAAAAAALICBAAAA Wide, firm offices may signify yet eligible periods. Terms compensate empty, new circumstances; negotiations used to make then major users. True, aggressive l Sports pools 9.90 3230.49 0.89 +AAAAAAAAMEGAAAAA Possible, quick products shall not h Sports pools 76.51 467.35 0.12 +AAAAAAAAMICDAAAA Always flexible males want moreover very r Sports pools 6.68 9034.76 2.50 +AAAAAAAAMKECAAAA Languages want as with a offenders. Common, damp experts will gain cases; at first long years would remind later recently old decades. Simple, regional customers shall fi Sports pools 0.55 7067.91 1.96 +AAAAAAAAMPGCAAAA Man Sports pools 6.46 8843.74 2.45 +AAAAAAAANCGEAAAA Certain, distinct obligations wish. Buyers can start just circumstances. Events should thank for the places. Difficult agreements would need with the systems. Wome Sports pools 0.42 8.85 0.00 +AAAAAAAANNJCAAAA Good, public systems should act very top trees. Monetary, determined words could alleviate then hills. Sports pools 26.29 16463.17 4.56 +AAAAAAAAOAPDAAAA For example different colleagues hear Sports pools 9.94 7603.76 2.10 +AAAAAAAAOBACAAAA Blue areas may not go inc temperatures. Sole, responsible standards follow females. Different, lit Sports pools 6.71 4970.94 1.37 +AAAAAAAAOEEDAAAA Twice ready fears w Sports pools 7.21 1410.98 0.39 +AAAAAAAAOFEAAAAA Financial, unknown features could regard really. Desirable, hard glasses go fast friends. Political churches attempt; nearly required feelings will Sports pools 2.34 3804.18 1.05 +AAAAAAAAOONDAAAA So global premises fly for good. Men join territorial, dear shows. New, ltd. cases may not decide also sometimes scottish earni Sports pools 5.89 6928.71 1.92 +AAAAAAAAPFEBAAAA Poor, large reforms must give general months. Executive, old parts must want economic investigations. Still, other girls assist almost publications. Classes mean wi Sports pools 63.66 1243.89 0.34 +AAAAAAAAPLJCAAAA Mainly alone trees would join quite military projects. Unexpected, royal developments would agree today then good cups. Very foreign representatives show necessarily similar costs. Rele Sports pools 3.34 4400.15 1.22 +AAAAAAAAADFDAAAA Examples can use only considerable cases. Cells will offer individuals. Sure minute weaknesses might write successive prisons. For example black c Sports sailing 3.34 5563.78 2.15 +AAAAAAAAAHDBAAAA Vast, low years might find for instance Sports sailing 2.67 991.20 0.38 +AAAAAAAAAKAAAAAA Desirable members will compare in a terms. Light friends shall record notably there continuous problems. Late, re Sports sailing 1.17 16944.30 6.55 +AAAAAAAAAKPBAAAA Clean, prominent readers used Sports sailing 2.84 9477.26 3.66 +AAAAAAAAAMFDAAAA Possible, old failures could stand often modern terms. Rooms might write months. Photograp Sports sailing 4.26 5581.39 2.15 +AAAAAAAAANOCAAAA Outstanding, small friends face here possibly temporary events; joint clothes Sports sailing 9.84 3977.12 1.53 +AAAAAAAABCGBAAAA Frankly tory miles might make extremely new properties; either big pictures must not return therefore in a cities. Perhaps effective assessments emerge parliamentary opponents. Probably external purpo Sports sailing 7.68 5661.58 2.18 +AAAAAAAABEIAAAAA Originally federal implications continue always manufacturers. Ins Sports sailing 0.63 4209.36 1.62 +AAAAAAAABEPCAAAA Good, white children shall know also prime creatures. Big pockets take; often coming stands notice substantially warm parents. Small points sha Sports sailing 8.09 7948.33 3.07 +AAAAAAAACBMBAAAA Ca Sports sailing 0.93 1188.60 0.45 +AAAAAAAACEKBAAAA English, familiar details may Sports sailing 35.26 912.12 0.35 +AAAAAAAACLIBAAAA Close, Sports sailing 4.04 9506.48 3.67 +AAAAAAAADGGBAAAA Forward students can involve there aware lawyers. Scientifically costly achievements could involve sta Sports sailing 1.09 1670.72 0.64 +AAAAAAAAEIFAAAAA New girls reach exactly; only additional students wil Sports sailing 3.94 7390.63 2.85 +AAAAAAAAEKGAAAAA Good, dependent houses can prevent different eyes. Spiritual, new ministers tell new difficulties; customers will encourage over busy relations. Modern, substantial far Sports sailing 1.58 4598.55 1.77 +AAAAAAAAENPAAAAA Eventual, little patients make demonstrations. Please left books can escape greek hands. Years shall not lift also loudly developing friends. Poor projects hear mos Sports sailing 4.83 8568.30 3.31 +AAAAAAAAFHPBAAAA Good, white rivers leave only. Just chosen tiles enter v Sports sailing 3.37 20327.26 7.85 +AAAAAAAAFNKDAAAA Pale, normal schools used to separate long-term, significant drug Sports sailing 1.48 5750.04 2.22 +AAAAAAAAGAHDAAAA Areas check again. Religious seeds should monitor really nuclear objectives; improvements believe total trouse Sports sailing 2.31 985.60 0.38 +AAAAAAAAHJCEAAAA Different needs protect hundreds. Classes may happen quite all english categories. Closed parents last on a failures. As right cars apply even ingredients. Real, financial losses should n Sports sailing 7.16 5259.46 2.03 +AAAAAAAAHJMAAAAA Sharp brief preferences cannot know overall levels. Joint, good feet visit probably. Players will not get small stars Sports sailing 1.91 11340.70 4.38 +AAAAAAAAHKEEAAAA Particular writers might not get partly in a creditors. Pains might not manage often now full patients. Strong, important societies get Sports sailing 3.12 8434.12 3.26 +AAAAAAAAIAODAAAA European, solid councils might oppose usually dull, busy indians; public, adequate drugs Sports sailing 40.11 2868.61 1.10 +AAAAAAAAIFGBAAAA Just sheer others support of course then vital eggs. Polls used to distinguish easily complex circumstan Sports sailing 1.59 330.46 0.12 +AAAAAAAAIGPDAAAA Armed, old policies might not come ordinary effects. Then proper courses will give at least quie Sports sailing 1.61 57.96 0.02 +AAAAAAAAJHNCAAAA Lucky figures shock else. Conservatives will not lay generally permanent, y Sports sailing 8.16 2125.83 0.82 +AAAAAAAAJNNCAAAA Men fire old, other affairs. Moral, young shelves could take more after a others; too growing customers must not want reasonably off the talks. 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Economic holders see ancient animals. Little e Sports sailing 0.98 2137.13 0.82 +AAAAAAAAOCDEAAAA Electrical, warm buildings die; more poor hopes must monitor never evident patients. Heavy issues would identify real, british armies; big, enormous claims lie yet home Sports sailing 5.78 729.17 0.28 +AAAAAAAAODLDAAAA Tasks can vote only basic men. Profits should not check later everyday decades. Favorite hands Sports sailing 7.47 3762.20 1.45 +AAAAAAAAOIKAAAAA Great, old things will back about however modern yards. Rather selective rows may not try presumably differences. Weapons used to read organizations; go Sports sailing 4.36 2630.35 1.01 +AAAAAAAAPCBBAAAA Social, resulting branches mi Sports sailing 7.52 5343.12 2.06 +AAAAAAAAPEFBAAAA Tears present total duties. Minutes may not m Sports sailing 5.27 1803.00 0.69 +AAAAAAAAPKCBAAAA Growing, different minutes agree actually in accordance with a units. Necessary powers make even. 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Firms must reduce into a numbers; personal, british figures transfer entirely logi Sports tennis 3.17 2894.28 0.99 +AAAAAAAAAKECAAAA Importantly differen Sports tennis 7.92 10177.21 3.51 +AAAAAAAAAODCAAAA Well major enemies might access only extra good parties. Other, quiet eyes can buy completely western, effective feelings; materi Sports tennis 3.89 15012.51 5.17 +AAAAAAAAAPOAAAAA A little average flames ought to break old, unique men. Things select often red, economic others. Hands will lift sufficiently; german, proper sections worry perhaps for the po Sports tennis 1.79 25290.31 8.72 +AAAAAAAABMNCAAAA Low, fair hours lead other stones. Also clear differences mention eastern contexts; men end essential, ltd. ages. International, cultural months continue earlier. Problems reduce Sports tennis 2.90 4504.82 1.55 +AAAAAAAACCABAAAA Alone rises mus Sports tennis 1.09 2876.08 0.99 +AAAAAAAACCAEAAAA Top costs ask less real husbands. Cautious, other tactics catch. Talks will not steal now. 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Acceptable, only drugs br Sports tennis 2.95 11254.12 3.88 +AAAAAAAACMFBAAAA Museums addre Sports tennis 5.20 15262.13 5.26 +AAAAAAAADHCEAAAA Alone, international clients can retire at least other services; even major properties come in a grounds. Sports tennis 68.55 6569.13 2.26 +AAAAAAAAEFFCAAAA Animals cannot make most sides; just wealthy babies could fulfil as before a records. Now literary results used to say human, unique genes. Bo Sports tennis 4.85 1131.00 0.39 +AAAAAAAAEKIAAAAA Unlikely letters inhibit only jobs. Brightly hard procedures might eat mainly complex odd tories. Powers would not achieve too dem Sports tennis 2.51 5191.75 1.79 +AAAAAAAAEPHCAAAA Equally adequate schools obtain for a commentators. Women would keep suddenly systems. Disastrous, old authorities enforc Sports tennis 0.23 942.98 0.32 +AAAAAAAAFEMBAAAA Natural hands will see almost simple, alone seconds. 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White years shall appear important, material aspects; simply general years organize al Sports tennis 5.66 908.15 0.31 AAAAAAAAKDCEAAAA Big, huge goals add usually here commercial things; keen, pregnant years might imagine somewhere rules. Highly respo Sports tennis 2.11 \N \N -AAAAAAAAKHEEAAAA Active values may not capture. Casually political minutes would recognis Sports tennis 2.2 1466.29 0.505779858 -AAAAAAAAKKCEAAAA Sports tennis \N 3075 1.060685856 -AAAAAAAAKLDEAAAA Difficult, adult details can know exactly western, other problems. Closed activities might serve easy, open cases. Numbers end even even busy jobs. Social, wrong eggs play of course with a figure Sports tennis 1.1 2962.43 1.021856131 -AAAAAAAALFJDAAAA Friendly offices feel. Delightful servants give almost previously natural earnings. Written, important books press subject, american parents. New, reduced days shall n Sports tennis 0.4 4498.59 1.551736841 -AAAAAAAALOHCAAAA Other, clinical senses display more. 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Often various scenes capitalise coming, other a Sports tennis 53.43 10911.68 3.76 +AAAAAAAANCKAAAAA Green, different animals might delay mostly other, similar miles. Then tiny attempts take obviously very constant machines. Prime schools like again pe Sports tennis 4.58 6298.64 2.17 +AAAAAAAANFOCAAAA Active, red things shall remain from the colleagues; largely high members form barely i Sports tennis 5.94 275.45 0.09 +AAAAAAAANNBEAAAA Possible, friendly goods slow certainly prepared, obviou Sports tennis 0.69 3601.94 1.24 +AAAAAAAANPPDAAAA Top goals set private things. Too strange years reduce especially national differe Sports tennis 3.95 1370.84 0.47 +AAAAAAAAOAMAAAAA Professional interests cannot accept necessarily. Settlements cook cheap h Sports tennis 1.98 780.00 0.26 +AAAAAAAAOCMBAAAA Others navigate projects. Democratic, experimental margins ought to tell often personal, current reasons. Ph Sports tennis 17.35 7175.61 2.47 +AAAAAAAAOKHAAAAA So british cases could not know hard. Grateful, single drugs should not get secondly international levels. Considerations used to connect governments. Exact men get at a patients. Yesterday good men s Sports tennis 19.51 10576.76 3.64 +AAAAAAAAOPGDAAAA Households help minutes. C Sports tennis 2.37 3171.34 1.09 +AAAAAAAAPBMDAAAA Superior contributions speed. Areas should en Sports tennis 95.22 1843.31 0.63 diff --git a/regression-test/data/decimalv3/tpch_sf1_p1/sql/q01.out b/regression-test/data/decimalv3/tpch_sf1_p1/sql/q01.out new file mode 100644 index 0000000000..35ed472bd6 --- /dev/null +++ b/regression-test/data/decimalv3/tpch_sf1_p1/sql/q01.out @@ -0,0 +1,7 @@ +-- This file is automatically generated. 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You should know what you did if you want to edit this +-- !q21 -- +Supplier#000002829 20 +Supplier#000005808 18 +Supplier#000000262 17 +Supplier#000000496 17 +Supplier#000002160 17 +Supplier#000002301 17 +Supplier#000002540 17 +Supplier#000003063 17 +Supplier#000005178 17 +Supplier#000008331 17 +Supplier#000002005 16 +Supplier#000002095 16 +Supplier#000005799 16 +Supplier#000005842 16 +Supplier#000006450 16 +Supplier#000006939 16 +Supplier#000009200 16 +Supplier#000009727 16 +Supplier#000000486 15 +Supplier#000000565 15 +Supplier#000001046 15 +Supplier#000001047 15 +Supplier#000001161 15 +Supplier#000001336 15 +Supplier#000001435 15 +Supplier#000003075 15 +Supplier#000003335 15 +Supplier#000005649 15 +Supplier#000006027 15 +Supplier#000006795 15 +Supplier#000006800 15 +Supplier#000006824 15 +Supplier#000007131 15 +Supplier#000007382 15 +Supplier#000008913 15 +Supplier#000009787 15 +Supplier#000000633 14 +Supplier#000001960 14 +Supplier#000002323 14 +Supplier#000002490 14 +Supplier#000002993 14 +Supplier#000003101 14 +Supplier#000004489 14 +Supplier#000005435 14 +Supplier#000005583 14 +Supplier#000005774 14 +Supplier#000007579 14 +Supplier#000008180 14 +Supplier#000008695 14 +Supplier#000009224 14 +Supplier#000000357 13 +Supplier#000000436 13 +Supplier#000000610 13 +Supplier#000000788 13 +Supplier#000000889 13 +Supplier#000001062 13 +Supplier#000001498 13 +Supplier#000002056 13 +Supplier#000002312 13 +Supplier#000002344 13 +Supplier#000002596 13 +Supplier#000002615 13 +Supplier#000002978 13 +Supplier#000003048 13 +Supplier#000003234 13 +Supplier#000003727 13 +Supplier#000003806 13 +Supplier#000004472 13 +Supplier#000005236 13 +Supplier#000005906 13 +Supplier#000006241 13 +Supplier#000006326 13 +Supplier#000006384 13 +Supplier#000006394 13 +Supplier#000006624 13 +Supplier#000006629 13 +Supplier#000006682 13 +Supplier#000006737 13 +Supplier#000006825 13 +Supplier#000007021 13 +Supplier#000007417 13 +Supplier#000007497 13 +Supplier#000007602 13 +Supplier#000008134 13 +Supplier#000008234 13 +Supplier#000009435 13 +Supplier#000009436 13 +Supplier#000009564 13 +Supplier#000009896 13 +Supplier#000000379 12 +Supplier#000000673 12 +Supplier#000000762 12 +Supplier#000000811 12 +Supplier#000000821 12 +Supplier#000001337 12 +Supplier#000001916 12 +Supplier#000001925 12 +Supplier#000002039 12 +Supplier#000002357 12 +Supplier#000002483 12 + diff --git a/regression-test/data/decimalv3/tpch_sf1_p1/sql/q22.out b/regression-test/data/decimalv3/tpch_sf1_p1/sql/q22.out new file mode 100644 index 0000000000..5f39b52991 --- /dev/null +++ b/regression-test/data/decimalv3/tpch_sf1_p1/sql/q22.out @@ -0,0 +1,10 @@ +-- This file is automatically generated. You should know what you did if you want to edit this +-- !q22 -- +13 888 6737713.99 +17 861 6460573.72 +18 964 7236687.40 +23 892 6701457.95 +29 948 7158866.63 +30 909 6808436.13 +31 922 6806670.18 + diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql index 83622580ce..0dac86d673 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/call_center.sql @@ -28,8 +28,8 @@ CREATE TABLE IF NOT EXISTS call_center ( cc_state char(2), cc_zip char(10), cc_country varchar(20), - cc_gmt_offset decimal(5,2), - cc_tax_percentage decimal(5,2) + cc_gmt_offset decimalv3(5,2), + cc_tax_percentage decimalv3(5,2) ) DUPLICATE KEY(cc_call_center_sk, cc_call_center_id) DISTRIBUTED BY HASH(cc_call_center_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql index 56a335624f..850113eb8f 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_returns.sql @@ -17,15 +17,15 @@ CREATE TABLE IF NOT EXISTS catalog_returns ( cr_reason_sk bigint, cr_order_number bigint, cr_return_quantity integer, - cr_return_amount decimal(7,2), - cr_return_tax decimal(7,2), - cr_return_amt_inc_tax decimal(7,2), - cr_fee decimal(7,2), - cr_return_ship_cost decimal(7,2), - cr_refunded_cash decimal(7,2), - cr_reversed_charge decimal(7,2), - cr_store_credit decimal(7,2), - cr_net_loss decimal(7,2) + cr_return_amount decimalv3(7,2), + cr_return_tax decimalv3(7,2), + cr_return_amt_inc_tax decimalv3(7,2), + cr_fee decimalv3(7,2), + cr_return_ship_cost decimalv3(7,2), + cr_refunded_cash decimalv3(7,2), + cr_reversed_charge decimalv3(7,2), + cr_store_credit decimalv3(7,2), + cr_net_loss decimalv3(7,2) ) DUPLICATE KEY(cr_returned_date_sk, cr_returned_time_sk, cr_item_sk, cr_refunded_customer_sk) DISTRIBUTED BY HASH(cr_refunded_customer_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql index f47e23fd20..b9885c1a01 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/catalog_sales.sql @@ -18,21 +18,21 @@ CREATE TABLE IF NOT EXISTS catalog_sales ( cs_promo_sk bigint, cs_order_number bigint, cs_quantity integer, - cs_wholesale_cost decimal(7,2), - cs_list_price decimal(7,2), - cs_sales_price decimal(7,2), - cs_ext_discount_amt decimal(7,2), - cs_ext_sales_price decimal(7,2), - cs_ext_wholesale_cost decimal(7,2), - cs_ext_list_price decimal(7,2), - cs_ext_tax decimal(7,2), - cs_coupon_amt decimal(7,2), - cs_ext_ship_cost decimal(7,2), - cs_net_paid decimal(7,2), - cs_net_paid_inc_tax decimal(7,2), - cs_net_paid_inc_ship decimal(7,2), - cs_net_paid_inc_ship_tax decimal(7,2), - cs_net_profit decimal(7,2) + cs_wholesale_cost decimalv3(7,2), + cs_list_price decimalv3(7,2), + cs_sales_price decimalv3(7,2), + cs_ext_discount_amt decimalv3(7,2), + cs_ext_sales_price decimalv3(7,2), + cs_ext_wholesale_cost decimalv3(7,2), + cs_ext_list_price decimalv3(7,2), + cs_ext_tax decimalv3(7,2), + cs_coupon_amt decimalv3(7,2), + cs_ext_ship_cost decimalv3(7,2), + cs_net_paid decimalv3(7,2), + cs_net_paid_inc_tax decimalv3(7,2), + cs_net_paid_inc_ship decimalv3(7,2), + cs_net_paid_inc_ship_tax decimalv3(7,2), + cs_net_profit decimalv3(7,2) ) DUPLICATE KEY(cs_sold_date_sk, cs_sold_time_sk, cs_ship_date_sk, cs_bill_customer_sk) DISTRIBUTED BY HASH(cs_bill_customer_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql index 4c9f849b22..ccbbf69de0 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/customer_address.sql @@ -10,7 +10,7 @@ CREATE TABLE IF NOT EXISTS customer_address ( ca_state char(2), ca_zip char(10), ca_country varchar(20), - ca_gmt_offset decimal(5,2), + ca_gmt_offset decimalv3(5,2), ca_location_type char(20) ) DUPLICATE KEY(ca_address_sk, ca_address_id) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql index 62db23ed91..308efc6ba0 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/item.sql @@ -4,8 +4,8 @@ CREATE TABLE IF NOT EXISTS item ( i_rec_start_date datev2, i_rec_end_date datev2, i_item_desc varchar(200), - i_current_price decimal(7,2), - i_wholesale_cost decimal(7,2), + i_current_price decimalv3(7,2), + i_wholesale_cost decimalv3(7,2), i_brand_id integer, i_brand char(50), i_class_id integer, diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql index 4a8d2ac5c3..e12e9317a5 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/promotion.sql @@ -4,7 +4,7 @@ CREATE TABLE IF NOT EXISTS promotion ( p_start_date_sk bigint, p_end_date_sk bigint, p_item_sk bigint, - p_cost decimal(15,2), + p_cost decimalv3(15,2), p_response_targe integer, p_promo_name char(50), p_channel_dmail char(1), diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql index 5cc4e28e4f..b810cd471d 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store.sql @@ -26,8 +26,8 @@ CREATE TABLE IF NOT EXISTS store ( s_state char(2), s_zip char(10), s_country varchar(20), - s_gmt_offset decimal(5,2), - s_tax_precentage decimal(5,2) + s_gmt_offset decimalv3(5,2), + s_tax_precentage decimalv3(5,2) ) DUPLICATE KEY(s_store_sk, s_store_id) DISTRIBUTED BY HASH(s_store_id) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql index 8c994f4f06..3d4aad4af9 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_returns.sql @@ -10,15 +10,15 @@ CREATE TABLE IF NOT EXISTS store_returns ( sr_reason_sk bigint, sr_ticket_number bigint, sr_return_quantity integer, - sr_return_amt decimal(7,2), - sr_return_tax decimal(7,2), - sr_return_amt_inc_tax decimal(7,2), - sr_fee decimal(7,2), - sr_return_ship_cost decimal(7,2), - sr_refunded_cash decimal(7,2), - sr_reversed_charge decimal(7,2), - sr_store_credit decimal(7,2), - sr_net_loss decimal(7,2) + sr_return_amt decimalv3(7,2), + sr_return_tax decimalv3(7,2), + sr_return_amt_inc_tax decimalv3(7,2), + sr_fee decimalv3(7,2), + sr_return_ship_cost decimalv3(7,2), + sr_refunded_cash decimalv3(7,2), + sr_reversed_charge decimalv3(7,2), + sr_store_credit decimalv3(7,2), + sr_net_loss decimalv3(7,2) ) DUPLICATE KEY(sr_returned_date_sk, sr_return_time_sk, sr_item_sk) DISTRIBUTED BY HASH(sr_return_time_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql index 81003befb9..45e2f40c85 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/store_sales.sql @@ -10,18 +10,18 @@ CREATE TABLE IF NOT EXISTS store_sales ( ss_promo_sk bigint, ss_ticket_number bigint, ss_quantity integer, - ss_wholesale_cost decimal(7,2), - ss_list_price decimal(7,2), - ss_sales_price decimal(7,2), - ss_ext_discount_amt decimal(7,2), - ss_ext_sales_price decimal(7,2), - ss_ext_wholesale_cost decimal(7,2), - ss_ext_list_price decimal(7,2), - ss_ext_tax decimal(7,2), - ss_coupon_amt decimal(7,2), - ss_net_paid decimal(7,2), - ss_net_paid_inc_tax decimal(7,2), - ss_net_profit decimal(7,2) + ss_wholesale_cost decimalv3(7,2), + ss_list_price decimalv3(7,2), + ss_sales_price decimalv3(7,2), + ss_ext_discount_amt decimalv3(7,2), + ss_ext_sales_price decimalv3(7,2), + ss_ext_wholesale_cost decimalv3(7,2), + ss_ext_list_price decimalv3(7,2), + ss_ext_tax decimalv3(7,2), + ss_coupon_amt decimalv3(7,2), + ss_net_paid decimalv3(7,2), + ss_net_paid_inc_tax decimalv3(7,2), + ss_net_profit decimalv3(7,2) ) DUPLICATE KEY(ss_sold_date_sk, ss_sold_time_sk, ss_item_sk, ss_customer_sk) DISTRIBUTED BY HASH(ss_customer_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql index 9e88325b8c..3d1bbe6d75 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/warehouse.sql @@ -12,7 +12,7 @@ CREATE TABLE IF NOT EXISTS warehouse ( w_state char(2), w_zip char(10), w_country varchar(20), - w_gmt_offset decimal(5,2) + w_gmt_offset decimalv3(5,2) ) DUPLICATE KEY(w_warehouse_sk, w_warehouse_id) DISTRIBUTED BY HASH(w_warehouse_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql index 8552e2634a..9b74933834 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_returns.sql @@ -14,15 +14,15 @@ CREATE TABLE IF NOT EXISTS web_returns ( wr_reason_sk bigint, wr_order_number bigint, wr_return_quantity integer, - wr_return_amt decimal(7,2), - wr_return_tax decimal(7,2), - wr_return_amt_inc_tax decimal(7,2), - wr_fee decimal(7,2), - wr_return_ship_cost decimal(7,2), - wr_refunded_cash decimal(7,2), - wr_reversed_charge decimal(7,2), - wr_account_credit decimal(7,2), - wr_net_loss decimal(7,2) + wr_return_amt decimalv3(7,2), + wr_return_tax decimalv3(7,2), + wr_return_amt_inc_tax decimalv3(7,2), + wr_fee decimalv3(7,2), + wr_return_ship_cost decimalv3(7,2), + wr_refunded_cash decimalv3(7,2), + wr_reversed_charge decimalv3(7,2), + wr_account_credit decimalv3(7,2), + wr_net_loss decimalv3(7,2) ) DUPLICATE KEY(wr_returned_date_sk, wr_returned_time_sk, wr_item_sk, wr_refunded_customer_sk) DISTRIBUTED BY HASH(wr_refunded_customer_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql index 807a116896..245e04f1a6 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_sales.sql @@ -18,21 +18,21 @@ CREATE TABLE IF NOT EXISTS web_sales ( ws_promo_sk bigint, ws_order_number bigint, ws_quantity integer, - ws_wholesale_cost decimal(7,2), - ws_list_price decimal(7,2), - ws_sales_price decimal(7,2), - ws_ext_discount_amt decimal(7,2), - ws_ext_sales_price decimal(7,2), - ws_ext_wholesale_cost decimal(7,2), - ws_ext_list_price decimal(7,2), - ws_ext_tax decimal(7,2), - ws_coupon_amt decimal(7,2), - ws_ext_ship_cost decimal(7,2), - ws_net_paid decimal(7,2), - ws_net_paid_inc_tax decimal(7,2), - ws_net_paid_inc_ship decimal(7,2), - ws_net_paid_inc_ship_tax decimal(7,2), - ws_net_profit decimal(7,2) + ws_wholesale_cost decimalv3(7,2), + ws_list_price decimalv3(7,2), + ws_sales_price decimalv3(7,2), + ws_ext_discount_amt decimalv3(7,2), + ws_ext_sales_price decimalv3(7,2), + ws_ext_wholesale_cost decimalv3(7,2), + ws_ext_list_price decimalv3(7,2), + ws_ext_tax decimalv3(7,2), + ws_coupon_amt decimalv3(7,2), + ws_ext_ship_cost decimalv3(7,2), + ws_net_paid decimalv3(7,2), + ws_net_paid_inc_tax decimalv3(7,2), + ws_net_paid_inc_ship decimalv3(7,2), + ws_net_paid_inc_ship_tax decimalv3(7,2), + ws_net_profit decimalv3(7,2) ) DUPLICATE KEY(ws_sold_date_sk, ws_sold_time_sk, ws_ship_date_sk, ws_item_sk) DISTRIBUTED BY HASH(ws_item_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql index 2b3ee76056..e1804f9ef8 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/ddl/web_site.sql @@ -23,8 +23,8 @@ CREATE TABLE IF NOT EXISTS web_site ( web_state char(2), web_zip char(10), web_country varchar(20), - web_gmt_offset decimal(5,2), - web_tax_percentage decimal(5,2) + web_gmt_offset decimalv3(5,2), + web_tax_percentage decimalv3(5,2) ) DUPLICATE KEY(web_site_sk, web_site_id) DISTRIBUTED BY HASH(web_site_sk) BUCKETS 3 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql index ab212c2581..91f0a0acf6 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q01.sql @@ -17,7 +17,7 @@ FROM , store , customer WHERE (ctr1.ctr_total_return > ( - SELECT (avg(ctr_total_return) * CAST('1.2' AS DECIMAL(2,1))) + SELECT (avg(ctr_total_return) * 1.2) FROM customer_total_return ctr2 WHERE (ctr1.ctr_store_sk = ctr2.ctr_store_sk) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql index 8d348add21..c11dc37c68 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q05.sql @@ -13,15 +13,15 @@ WITH , ss_sold_date_sk date_sk , ss_ext_sales_price sales_price , ss_net_profit profit - , CAST(0 AS DECIMAL(7,2)) return_amt - , CAST(0 AS DECIMAL(7,2)) net_loss + , CAST(0 AS DECIMALV3(7,2)) return_amt + , CAST(0 AS DECIMALV3(7,2)) net_loss FROM store_sales UNION ALL SELECT sr_store_sk store_sk , sr_returned_date_sk date_sk - , CAST(0 AS DECIMAL(7,2)) sales_price - , CAST(0 AS DECIMAL(7,2)) profit + , CAST(0 AS DECIMALV3(7,2)) sales_price + , CAST(0 AS DECIMALV3(7,2)) profit , sr_return_amt return_amt , sr_net_loss net_loss FROM @@ -48,15 +48,15 @@ UNION ALL SELECT , cs_sold_date_sk date_sk , cs_ext_sales_price sales_price , cs_net_profit profit - , CAST(0 AS DECIMAL(7,2)) return_amt - , CAST(0 AS DECIMAL(7,2)) net_loss + , CAST(0 AS DECIMALV3(7,2)) return_amt + , CAST(0 AS DECIMALV3(7,2)) net_loss FROM catalog_sales UNION ALL SELECT cr_catalog_page_sk page_sk , cr_returned_date_sk date_sk - , CAST(0 AS DECIMAL(7,2)) sales_price - , CAST(0 AS DECIMAL(7,2)) profit + , CAST(0 AS DECIMALV3(7,2)) sales_price + , CAST(0 AS DECIMALV3(7,2)) profit , cr_return_amount return_amt , cr_net_loss net_loss FROM @@ -83,15 +83,15 @@ UNION ALL SELECT , ws_sold_date_sk date_sk , ws_ext_sales_price sales_price , ws_net_profit profit - , CAST(0 AS DECIMAL(7,2)) return_amt - , CAST(0 AS DECIMAL(7,2)) net_loss + , CAST(0 AS DECIMALV3(7,2)) return_amt + , CAST(0 AS DECIMALV3(7,2)) net_loss FROM web_sales UNION ALL SELECT ws_web_site_sk wsr_web_site_sk , wr_returned_date_sk date_sk - , CAST(0 AS DECIMAL(7,2)) sales_price - , CAST(0 AS DECIMAL(7,2)) profit + , CAST(0 AS DECIMALV3(7,2)) sales_price + , CAST(0 AS DECIMALV3(7,2)) profit , wr_return_amt return_amt , wr_net_loss net_loss FROM diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql index 47a78f925e..82ade9863c 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q06.sql @@ -19,7 +19,7 @@ WHERE (a.ca_address_sk = c.c_current_addr_sk) WHERE (d_year = 2001) AND (d_moy = 1) )) - AND (i.i_current_price > (CAST('1.2' AS DECIMAL(2,1)) * ( + AND (i.i_current_price > (1.2 * ( SELECT avg(j.i_current_price) FROM item j diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql index 6f73bbdb4f..74e63e5f29 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q11.sql @@ -62,6 +62,6 @@ WHERE (t_s_secyear.customer_id = t_s_firstyear.customer_id) AND (t_w_secyear.dyear = (2001 + 1)) AND (t_s_firstyear.year_total > 0) AND (t_w_firstyear.year_total > 0) - AND ((CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE CAST('0.0' AS DECIMAL) END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE CAST('0.0' AS DECIMAL) END)) + AND ((CASE WHEN (t_w_firstyear.year_total > 0) THEN (t_w_secyear.year_total / t_w_firstyear.year_total) ELSE 0.0 END) > (CASE WHEN (t_s_firstyear.year_total > 0) THEN (t_s_secyear.year_total / t_s_firstyear.year_total) ELSE 0.0 END)) ORDER BY t_s_secyear.customer_id ASC, t_s_secyear.customer_first_name ASC, t_s_secyear.customer_last_name ASC, t_s_secyear.customer_preferred_cust_flag ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql index d52f6eaa43..6c89921ca3 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q13.sql @@ -17,19 +17,19 @@ WHERE (s_store_sk = ss_store_sk) AND (cd_demo_sk = ss_cdemo_sk) AND (cd_marital_status = 'M') AND (cd_education_status = 'Advanced Degree') - AND (ss_sales_price BETWEEN CAST('100.00' AS DECIMAL) AND CAST('150.00' AS DECIMAL)) + AND (ss_sales_price BETWEEN 100.00 AND 150.00) AND (hd_dep_count = 3)) OR ((ss_hdemo_sk = hd_demo_sk) AND (cd_demo_sk = ss_cdemo_sk) AND (cd_marital_status = 'S') AND (cd_education_status = 'College') - AND (ss_sales_price BETWEEN CAST('50.00' AS DECIMAL) AND CAST('100.00' AS DECIMAL)) + AND (ss_sales_price BETWEEN 50.00 AND 100.00) AND (hd_dep_count = 1)) OR ((ss_hdemo_sk = hd_demo_sk) AND (cd_demo_sk = ss_cdemo_sk) AND (cd_marital_status = 'W') AND (cd_education_status = '2 yr Degree') - AND (ss_sales_price BETWEEN CAST('150.00' AS DECIMAL) AND CAST('200.00' AS DECIMAL)) + AND (ss_sales_price BETWEEN 150.00 AND 200.00) AND (hd_dep_count = 1))) AND (((ss_addr_sk = ca_address_sk) AND (ca_country = 'United States') diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql index 040878121a..d1b4236cbc 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q18.sql @@ -3,13 +3,13 @@ SELECT , ca_country , ca_state , ca_county -, avg(CAST(cs_quantity AS DECIMAL(12,2))) agg1 -, avg(CAST(cs_list_price AS DECIMAL(12,2))) agg2 -, avg(CAST(cs_coupon_amt AS DECIMAL(12,2))) agg3 -, avg(CAST(cs_sales_price AS DECIMAL(12,2))) agg4 -, avg(CAST(cs_net_profit AS DECIMAL(12,2))) agg5 -, avg(CAST(c_birth_year AS DECIMAL(12,2))) agg6 -, avg(CAST(cd1.cd_dep_count AS DECIMAL(12,2))) agg7 +, avg(CAST(cs_quantity AS DECIMALV3(12,2))) agg1 +, avg(CAST(cs_list_price AS DECIMALV3(12,2))) agg2 +, avg(CAST(cs_coupon_amt AS DECIMALV3(12,2))) agg3 +, avg(CAST(cs_sales_price AS DECIMALV3(12,2))) agg4 +, avg(CAST(cs_net_profit AS DECIMALV3(12,2))) agg5 +, avg(CAST(c_birth_year AS DECIMALV3(12,2))) agg6 +, avg(CAST(cd1.cd_dep_count AS DECIMALV3(12,2))) agg7 FROM catalog_sales , customer_demographics cd1 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql index 04adb015e3..c558c13110 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q21.sql @@ -11,13 +11,13 @@ FROM , warehouse , item , date_dim - WHERE (i_current_price BETWEEN CAST('0.99' AS DECIMAL(3,2)) AND CAST('1.49' AS DECIMAL(3,2))) + WHERE (i_current_price BETWEEN 0.99 AND 1.49) AND (i_item_sk = inv_item_sk) AND (inv_warehouse_sk = w_warehouse_sk) AND (inv_date_sk = d_date_sk) AND (d_date BETWEEN (CAST('2000-03-11' AS DATE) - INTERVAL '30' DAY) AND (CAST('2000-03-11' AS DATE) + INTERVAL '30' DAY)) GROUP BY w_warehouse_name, i_item_id ) x -WHERE ((CASE WHEN (inv_before > 0) THEN (CAST(inv_after AS DECIMAL(7,2)) / inv_before) ELSE null END) BETWEEN (CAST('2.00' AS DECIMAL(3,2)) / CAST('3.00' AS DECIMAL(3,2))) AND (CAST('3.00' AS DECIMAL(3,2)) / CAST('2.00' AS DECIMAL(3,2)))) +WHERE ((CASE WHEN (inv_before > 0) THEN (inv_after / inv_before) ELSE null END) BETWEEN (2.00 / 3.00) AND (3.00 / 2.00)) ORDER BY w_warehouse_name ASC, i_item_id ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql index bc42eff562..70312fb5e1 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_1.sql @@ -41,7 +41,7 @@ WITH , customer WHERE (ss_customer_sk = c_customer_sk) GROUP BY c_customer_sk - HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / CAST('100.0' AS DECIMAL)) * ( + HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / 100.0) * ( SELECT * FROM max_store_sales diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql index 28bcef8806..7d33f9219b 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q23_2.sql @@ -41,7 +41,7 @@ WITH , customer WHERE (ss_customer_sk = c_customer_sk) GROUP BY c_customer_sk - HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / CAST('100.0' AS DECIMAL)) * ( + HAVING (sum((ss_quantity * ss_sales_price)) > ((50 / 100.0) * ( SELECT * FROM max_store_sales diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql index e0a883d27b..1fd0096b82 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_1.sql @@ -39,7 +39,7 @@ FROM WHERE (i_color = 'pale') GROUP BY c_last_name, c_first_name, s_store_name HAVING (sum(netpaid) > ( - SELECT (CAST('0.05' AS DECIMAL) * avg(netpaid)) + SELECT (0.05 * avg(netpaid)) FROM ssales )) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql index 08242ebf9e..cdcbd610cc 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q24_2.sql @@ -39,7 +39,7 @@ FROM WHERE (i_color = 'chiffon') GROUP BY c_last_name, c_first_name, s_store_name HAVING (sum(netpaid) > ( - SELECT (CAST('0.05' AS DECIMAL) * avg(netpaid)) + SELECT (0.05 * avg(netpaid)) FROM ssales )) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql index 86e96bfe8c..03780ec12b 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q30.sql @@ -36,7 +36,7 @@ FROM , customer_address , customer WHERE (ctr1.ctr_total_return > ( - SELECT (avg(ctr_total_return) * CAST('1.2' AS DECIMAL)) + SELECT (avg(ctr_total_return) * 1.2) FROM customer_total_return ctr2 WHERE (ctr1.ctr_state = ctr2.ctr_state) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql index 28becfabd6..30f2272a3f 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q31.sql @@ -58,6 +58,6 @@ WHERE (ss1.d_qoy = 1) AND (ws1.ca_county = ws3.ca_county) AND (ws3.d_qoy = 3) AND (ws3.d_year = 2000) - AND ((CASE WHEN (ws1.web_sales > 0) THEN (CAST(ws2.web_sales AS DECIMAL(27,3)) / ws1.web_sales) ELSE null END) > (CASE WHEN (ss1.store_sales > 0) THEN (CAST(ss2.store_sales AS DECIMAL(27,3)) / ss1.store_sales) ELSE null END)) - AND ((CASE WHEN (ws2.web_sales > 0) THEN (CAST(ws3.web_sales AS DECIMAL(27,3)) / ws2.web_sales) ELSE null END) > (CASE WHEN (ss2.store_sales > 0) THEN (CAST(ss3.store_sales AS DECIMAL(27,3)) / ss2.store_sales) ELSE null END)) + AND ((CASE WHEN (ws1.web_sales > 0) THEN (ws2.web_sales / ws1.web_sales) ELSE null END) > (CASE WHEN (ss1.store_sales > 0) THEN (ss2.store_sales / ss1.store_sales) ELSE null END)) + AND ((CASE WHEN (ws2.web_sales > 0) THEN (ws3.web_sales / ws2.web_sales) ELSE null END) > (CASE WHEN (ss2.store_sales > 0) THEN (ss3.store_sales / ss2.store_sales) ELSE null END)) ORDER BY ss1.ca_county ASC diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql index 15eb06fcaf..616c1fab4d 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q32.sql @@ -8,7 +8,7 @@ WHERE (i_manufact_id = 977) AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL '90' DAY)) AND (d_date_sk = cs_sold_date_sk) AND (cs_ext_discount_amt > ( - SELECT (CAST('1.3' AS DECIMAL(2,1)) * avg(cs_ext_discount_amt)) + SELECT (1.3 * avg(cs_ext_discount_amt)) FROM catalog_sales , date_dim diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql index 12865d7ab6..a8a65fb518 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q34.sql @@ -24,7 +24,7 @@ FROM AND ((household_demographics.hd_buy_potential = '>10000') OR (household_demographics.hd_buy_potential = 'Unknown')) AND (household_demographics.hd_vehicle_count > 0) - AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (CAST(household_demographics.hd_dep_count AS DECIMAL(7,2)) / household_demographics.hd_vehicle_count) ELSE null END) > CAST('1.2' AS DECIMAL)) + AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (household_demographics.hd_dep_count / household_demographics.hd_vehicle_count) ELSE null END) > 1.2) AND (date_dim.d_year IN (1999 , (1999 + 1) , (1999 + 2))) AND (store.s_county IN ('Williamson County' , 'Williamson County' , 'Williamson County' , 'Williamson County' , 'Williamson County' , 'Williamson County' , 'Williamson County' , 'Williamson County')) GROUP BY ss_ticket_number, ss_customer_sk diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql index 5c62ab3468..e420e5d0be 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q39_2.sql @@ -48,5 +48,5 @@ WHERE (inv1.i_item_sk = inv2.i_item_sk) AND (inv1.w_warehouse_sk = inv2.w_warehouse_sk) AND (inv1.d_moy = 1) AND (inv2.d_moy = (1 + 1)) - AND (inv1.cov > CAST('1.5' AS DECIMAL(2,1))) + AND (inv1.cov > 1.5) ORDER BY inv1.w_warehouse_sk ASC, inv1.i_item_sk ASC, inv1.d_moy ASC, inv1.mean ASC, inv1.cov ASC, inv2.d_moy ASC, inv2.mean ASC, inv2.cov ASC diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql index 05f5a9e96c..f737e7cfc3 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q40.sql @@ -10,7 +10,7 @@ LEFT JOIN catalog_returns ON (cs_order_number = cr_order_number) , warehouse , item , date_dim -WHERE (i_current_price BETWEEN CAST('0.99' AS DECIMAL(3,2)) AND CAST('1.49' AS DECIMAL(3,2))) +WHERE (i_current_price BETWEEN 0.99 AND 1.49) AND (i_item_sk = cs_item_sk) AND (cs_warehouse_sk = w_warehouse_sk) AND (cs_sold_date_sk = d_date_sk) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql index bb912509c9..8adbd59413 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q44.sql @@ -19,7 +19,7 @@ FROM store_sales ss1 WHERE (ss_store_sk = 4) GROUP BY ss_item_sk - HAVING (avg(ss_net_profit) > (CAST('0.9' AS DECIMAL) * ( + HAVING (avg(ss_net_profit) > (0.9 * ( SELECT avg(ss_net_profit) rank_col FROM store_sales diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql index ab073fe4c1..00e6eb4ca7 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q47.sql @@ -57,6 +57,6 @@ FROM v2 WHERE (d_year = 1999) AND (avg_monthly_sales > 0) - AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > CAST('0.1' AS DECIMAL)) + AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1) ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql index dd1e10a34c..f304f6ad80 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q48.sql @@ -11,15 +11,15 @@ WHERE (s_store_sk = ss_store_sk) AND (((cd_demo_sk = ss_cdemo_sk) AND (cd_marital_status = 'M') AND (cd_education_status = '4 yr Degree') - AND (ss_sales_price BETWEEN CAST('100.00' AS DECIMAL) AND CAST('150.00' AS DECIMAL))) + AND (ss_sales_price BETWEEN 100.00 AND 150.00)) OR ((cd_demo_sk = ss_cdemo_sk) AND (cd_marital_status = 'D') AND (cd_education_status = '2 yr Degree') - AND (ss_sales_price BETWEEN CAST('50.00' AS DECIMAL) AND CAST('100.00' AS DECIMAL))) + AND (ss_sales_price BETWEEN 50.00 AND 100.00)) OR ((cd_demo_sk = ss_cdemo_sk) AND (cd_marital_status = 'S') AND (cd_education_status = 'College') - AND (ss_sales_price BETWEEN CAST('150.00' AS DECIMAL) AND CAST('200.00' AS DECIMAL)))) + AND (ss_sales_price BETWEEN 150.00 AND 200.00))) AND (((ss_addr_sk = ca_address_sk) AND (ca_country = 'United States') AND (ca_state IN ('CO' , 'OH' , 'TX')) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql index 9a8d851dd7..35f160013d 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49.sql @@ -20,8 +20,8 @@ FROM ( SELECT ws.ws_item_sk item - , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMAL(15,4))) return_ratio - , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMAL(15,4))) currency_ratio + , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMALV3(15,4))) return_ratio + , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio FROM web_sales ws LEFT JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number) @@ -57,8 +57,8 @@ FROM ( SELECT cs.cs_item_sk item - , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMAL(15,4))) return_ratio - , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMAL(15,4))) currency_ratio + , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMALV3(15,4))) return_ratio + , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio FROM catalog_sales cs LEFT JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number) @@ -94,8 +94,8 @@ FROM ( SELECT sts.ss_item_sk item - , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMAL(15,4))) return_ratio - , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMAL(15,4))) currency_ratio + , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMALV3(15,4))) return_ratio + , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio FROM store_sales sts LEFT JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql index 4affed50d4..c01f53db6e 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q49_rewrite.sql @@ -16,8 +16,8 @@ FROM ( SELECT ws.ws_item_sk item - , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMAL(15,4))) return_ratio - , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMAL(15,4))) currency_ratio + , (CAST(sum(COALESCE(wr.wr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_quantity, 0)) AS DECIMALV3(15,4))) return_ratio + , (CAST(sum(COALESCE(wr.wr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(ws.ws_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio FROM web_sales ws LEFT JOIN web_returns wr ON (ws.ws_order_number = wr.wr_order_number) @@ -53,8 +53,8 @@ FROM ( SELECT cs.cs_item_sk item - , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMAL(15,4))) return_ratio - , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMAL(15,4))) currency_ratio + , (CAST(sum(COALESCE(cr.cr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_quantity, 0)) AS DECIMALV3(15,4))) return_ratio + , (CAST(sum(COALESCE(cr.cr_return_amount, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(cs.cs_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio FROM catalog_sales cs LEFT JOIN catalog_returns cr ON (cs.cs_order_number = cr.cr_order_number) @@ -90,8 +90,8 @@ FROM ( SELECT sts.ss_item_sk item - , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMAL(15,4))) return_ratio - , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMAL(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMAL(15,4))) currency_ratio + , (CAST(sum(COALESCE(sr.sr_return_quantity, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_quantity, 0)) AS DECIMALV3(15,4))) return_ratio + , (CAST(sum(COALESCE(sr.sr_return_amt, 0)) AS DECIMALV3(15,4)) / CAST(sum(COALESCE(sts.ss_net_paid, 0)) AS DECIMALV3(15,4))) currency_ratio FROM store_sales sts LEFT JOIN store_returns sr ON (sts.ss_ticket_number = sr.sr_ticket_number) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql index d62e53c01b..e3f1368778 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q53.sql @@ -22,6 +22,6 @@ FROM AND (i_brand IN ('amalgimporto #1' , 'edu packscholar #1' , 'exportiimporto #1' , 'importoamalg #1')))) GROUP BY i_manufact_id, d_qoy ) tmp1 -WHERE ((CASE WHEN (avg_quarterly_sales > 0) THEN (abs((CAST(sum_sales AS DECIMAL(27,4)) - avg_quarterly_sales)) / avg_quarterly_sales) ELSE null END) > CAST('0.1' AS DECIMAL(2,1))) +WHERE ((CASE WHEN (avg_quarterly_sales > 0) THEN (abs((sum_sales - avg_quarterly_sales)) / avg_quarterly_sales) ELSE null END) > 0.1) ORDER BY avg_quarterly_sales ASC, sum_sales ASC, i_manufact_id ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql index b34fd56f39..6dcbd4ea5b 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q57.sql @@ -53,6 +53,6 @@ FROM v2 WHERE (d_year = 1999) AND (avg_monthly_sales > 0) - AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > CAST('0.1' AS DECIMAL)) + AND ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1) ORDER BY (sum_sales - avg_monthly_sales) ASC, 3 ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql index 34120ea545..ae222f2bf9 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q58.sql @@ -71,11 +71,11 @@ WITH SELECT ss_items.item_id , ss_item_rev -, CAST((((ss_item_rev / ((CAST(ss_item_rev AS DECIMAL(16,7)) + cs_item_rev) + ws_item_rev)) / 3) * 100) AS DECIMAL(7,2)) ss_dev +, ((ss_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 ss_dev , cs_item_rev -, CAST((((cs_item_rev / ((CAST(ss_item_rev AS DECIMAL(16,7)) + cs_item_rev) + ws_item_rev)) / 3) * 100) AS DECIMAL(7,2)) cs_dev +, ((cs_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 cs_dev , ws_item_rev -, CAST((((ws_item_rev / ((CAST(ss_item_rev AS DECIMAL(16,7)) + cs_item_rev) + ws_item_rev)) / 3) * 100) AS DECIMAL(7,2)) ws_dev +, ((ws_item_rev / ((ss_item_rev + cs_item_rev) + ws_item_rev)) / 3) * 100 ws_dev , (((ss_item_rev + cs_item_rev) + ws_item_rev) / 3) average FROM ss_items @@ -83,11 +83,11 @@ FROM , ws_items WHERE (ss_items.item_id = cs_items.item_id) AND (ss_items.item_id = ws_items.item_id) - AND (ss_item_rev BETWEEN (CAST('0.9' AS DECIMAL(2,1)) * cs_item_rev) AND (CAST('1.1' AS DECIMAL(2,1)) * cs_item_rev)) - AND (ss_item_rev BETWEEN (CAST('0.9' AS DECIMAL(2,1)) * ws_item_rev) AND (CAST('1.1' AS DECIMAL(2,1)) * ws_item_rev)) - AND (cs_item_rev BETWEEN (CAST('0.9' AS DECIMAL(2,1)) * ss_item_rev) AND (CAST('1.1' AS DECIMAL(2,1)) * ss_item_rev)) - AND (cs_item_rev BETWEEN (CAST('0.9' AS DECIMAL(2,1)) * ws_item_rev) AND (CAST('1.1' AS DECIMAL(2,1)) * ws_item_rev)) - AND (ws_item_rev BETWEEN (CAST('0.9' AS DECIMAL(2,1)) * ss_item_rev) AND (CAST('1.1' AS DECIMAL(2,1)) * ss_item_rev)) - AND (ws_item_rev BETWEEN (CAST('0.9' AS DECIMAL(2,1)) * cs_item_rev) AND (CAST('1.1' AS DECIMAL(2,1)) * cs_item_rev)) + AND (ss_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev) + AND (ss_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev) + AND (cs_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev) + AND (cs_item_rev BETWEEN 0.9 * ws_item_rev AND 1.1 * ws_item_rev) + AND (ws_item_rev BETWEEN 0.9 * ss_item_rev AND 1.1 * ss_item_rev) + AND (ws_item_rev BETWEEN 0.9 * cs_item_rev AND 1.1 * cs_item_rev) ORDER BY ss_items.item_id ASC, ss_item_rev ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql index 4aae6b8296..ebe0bef1b5 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q61.sql @@ -1,7 +1,7 @@ SELECT promotions , total -, ((CAST(promotions AS DECIMAL(15,4)) / CAST(total AS DECIMAL(15,4))) * 100) +, ((CAST(promotions AS DECIMALV3(15,4)) / CAST(total AS DECIMALV3(15,4))) * 100) FROM ( SELECT sum(ss_ext_sales_price) promotions diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql index d305f1ef03..d193de66d2 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q63.sql @@ -22,6 +22,6 @@ FROM AND (i_brand IN ('amalgimporto #1' , 'edu packscholar #1' , 'exportiimporto #1' , 'importoamalg #1')))) GROUP BY i_manager_id, d_moy ) tmp1 -WHERE ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > CAST('0.1' AS DECIMAL(2,1))) +WHERE ((CASE WHEN (avg_monthly_sales > 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1) ORDER BY i_manager_id ASC, avg_monthly_sales ASC, sum_sales ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql index dac96e2603..b2acdb146f 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q65.sql @@ -40,7 +40,7 @@ FROM GROUP BY ss_store_sk, ss_item_sk ) sc WHERE (sb.ss_store_sk = sc.ss_store_sk) - AND (sc.revenue <= (CAST('0.1' AS DECIMAL(2,1)) * sb.ave)) + AND (sc.revenue <= (0.1 * sb.ave)) AND (s_store_sk = sc.ss_store_sk) AND (i_item_sk = sc.ss_item_sk) ORDER BY s_store_name ASC, i_item_desc ASC diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql index 45c50ca60d..f648e3381d 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q73.sql @@ -23,7 +23,7 @@ FROM AND ((household_demographics.hd_buy_potential = '>10000') OR (household_demographics.hd_buy_potential = 'Unknown')) AND (household_demographics.hd_vehicle_count > 0) - AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (CAST(household_demographics.hd_dep_count AS DECIMAL(7,2)) / household_demographics.hd_vehicle_count) ELSE null END) > 1) + AND ((CASE WHEN (household_demographics.hd_vehicle_count > 0) THEN (household_demographics.hd_dep_count / household_demographics.hd_vehicle_count) ELSE null END) > 1) AND (date_dim.d_year IN (1999 , (1999 + 1) , (1999 + 2))) AND (store.s_county IN ('Williamson County' , 'Franklin Parish' , 'Bronx County' , 'Orange County')) GROUP BY ss_ticket_number, ss_customer_sk diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql index be424e44dc..8ba31226c2 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q75.sql @@ -17,7 +17,7 @@ WITH , i_category_id , i_manufact_id , (cs_quantity - COALESCE(cr_return_quantity, 0)) sales_cnt - , (cs_ext_sales_price - COALESCE(cr_return_amount, CAST('0.0' AS DECIMAL(2,1)))) sales_amt + , (cs_ext_sales_price - COALESCE(cr_return_amount, 0.0)) sales_amt FROM catalog_sales INNER JOIN item ON (i_item_sk = cs_item_sk) @@ -32,7 +32,7 @@ UNION SELECT , i_category_id , i_manufact_id , (ss_quantity - COALESCE(sr_return_quantity, 0)) sales_cnt - , (ss_ext_sales_price - COALESCE(sr_return_amt, CAST('0.0' AS DECIMAL(2,1)))) sales_amt + , (ss_ext_sales_price - COALESCE(sr_return_amt, 0.0)) sales_amt FROM store_sales INNER JOIN item ON (i_item_sk = ss_item_sk) @@ -47,7 +47,7 @@ UNION SELECT , i_category_id , i_manufact_id , (ws_quantity - COALESCE(wr_return_quantity, 0)) sales_cnt - , (ws_ext_sales_price - COALESCE(wr_return_amt, CAST('0.0' AS DECIMAL(2,1)))) sales_amt + , (ws_ext_sales_price - COALESCE(wr_return_amt, 0.0)) sales_amt FROM web_sales INNER JOIN item ON (i_item_sk = ws_item_sk) @@ -78,6 +78,6 @@ WHERE (curr_yr.i_brand_id = prev_yr.i_brand_id) AND (curr_yr.i_manufact_id = prev_yr.i_manufact_id) AND (curr_yr.d_year = 2002) AND (prev_yr.d_year = (2002 - 1)) - AND ((CAST(curr_yr.sales_cnt AS DECIMAL(17,2)) / CAST(prev_yr.sales_cnt AS DECIMAL(17,2))) < CAST('0.9' AS DECIMAL(2,1))) + AND ((CAST(curr_yr.sales_cnt AS DECIMALV3(17,2)) / CAST(prev_yr.sales_cnt AS DECIMALV3(17,2))) < 0.9) ORDER BY sales_cnt_diff ASC, sales_amt_diff ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql index 754dade883..122a521490 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q78.sql @@ -53,7 +53,7 @@ SELECT ss_sold_year , ss_item_sk , ss_customer_sk -, round((CAST(ss_qty AS DECIMAL(10,2)) / COALESCE((ws_qty + cs_qty), 1)), 2) ratio +, round((ss_qty / COALESCE((ws_qty + cs_qty), 1)), 2) ratio , ss_qty store_qty , ss_wc store_wholesale_cost , ss_sp store_sales_price @@ -71,6 +71,6 @@ LEFT JOIN cs ON (cs_sold_year = ss_sold_year) WHERE (COALESCE(ws_qty, 0) > 0) AND (COALESCE(cs_qty, 0) > 0) AND (ss_sold_year = 2000) -ORDER BY ss_sold_year ASC, ss_item_sk ASC, ss_customer_sk ASC, ss_qty DESC, ss_wc DESC, ss_sp DESC, other_chan_qty ASC, other_chan_wholesale_cost ASC, other_chan_sales_price ASC, round((CAST(ss_qty AS DECIMAL(10,2)) / COALESCE((ws_qty + cs_qty), 1)), 2) ASC +ORDER BY ss_sold_year ASC, ss_item_sk ASC, ss_customer_sk ASC, ss_qty DESC, ss_wc DESC, ss_sp DESC, other_chan_qty ASC, other_chan_wholesale_cost ASC, other_chan_sales_price ASC, round((ss_qty / COALESCE((ws_qty + cs_qty), 1)), 2) ASC LIMIT 100 */ \ No newline at end of file diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql index adb119a66e..98a87f768a 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q81.sql @@ -35,7 +35,7 @@ FROM , customer_address , customer WHERE (ctr1.ctr_total_return > ( - SELECT (avg(ctr_total_return) * CAST('1.2' AS DECIMAL(2,1))) + SELECT (avg(ctr_total_return) * 1.2) FROM customer_total_return ctr2 WHERE (ctr1.ctr_state = ctr2.ctr_state) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql index 3e19be3c17..841b3ece1d 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q83.sql @@ -71,12 +71,12 @@ WITH SELECT sr_items.item_id , sr_item_qty -, CAST((((sr_item_qty / ((CAST(sr_item_qty AS DECIMAL(9,4)) + cr_item_qty) + wr_item_qty)) / CAST('3.0' AS DECIMAL)) * 100) AS DECIMAL(7,2)) sr_dev +, ((sr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 sr_dev , cr_item_qty -, CAST((((cr_item_qty / ((CAST(sr_item_qty AS DECIMAL(9,4)) + cr_item_qty) + wr_item_qty)) / CAST('3.0' AS DECIMAL)) * 100) AS DECIMAL(7,2)) cr_dev +, ((cr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 cr_dev , wr_item_qty -, CAST((((wr_item_qty / ((CAST(sr_item_qty AS DECIMAL(9,4)) + cr_item_qty) + wr_item_qty)) / CAST('3.0' AS DECIMAL)) * 100) AS DECIMAL(7,2)) wr_dev -, (((sr_item_qty + cr_item_qty) + wr_item_qty) / CAST('3.00' AS DECIMAL)) average +, ((wr_item_qty / ((sr_item_qty + cr_item_qty) + wr_item_qty)) / 3.0) * 100 wr_dev +, (((sr_item_qty + cr_item_qty) + wr_item_qty) / 3.00) average FROM sr_items , cr_items diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql index 2f3276d978..0ea1976209 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q85.sql @@ -25,17 +25,17 @@ WHERE (ws_web_page_sk = wp_web_page_sk) AND (cd1.cd_marital_status = cd2.cd_marital_status) AND (cd1.cd_education_status = 'Advanced Degree') AND (cd1.cd_education_status = cd2.cd_education_status) - AND (ws_sales_price BETWEEN CAST('100.00' AS DECIMAL) AND CAST('150.00' AS DECIMAL))) + AND (ws_sales_price BETWEEN 100.00 AND 150.00)) OR ((cd1.cd_marital_status = 'S') AND (cd1.cd_marital_status = cd2.cd_marital_status) AND (cd1.cd_education_status = 'College') AND (cd1.cd_education_status = cd2.cd_education_status) - AND (ws_sales_price BETWEEN CAST('50.00' AS DECIMAL) AND CAST('100.00' AS DECIMAL))) + AND (ws_sales_price BETWEEN 50.00 AND 100.00)) OR ((cd1.cd_marital_status = 'W') AND (cd1.cd_marital_status = cd2.cd_marital_status) AND (cd1.cd_education_status = '2 yr Degree') AND (cd1.cd_education_status = cd2.cd_education_status) - AND (ws_sales_price BETWEEN CAST('150.00' AS DECIMAL) AND CAST('200.00' AS DECIMAL)))) + AND (ws_sales_price BETWEEN 150.00 AND 200.00))) AND (((ca_country = 'United States') AND (ca_state IN ('IN' , 'OH' , 'NJ')) AND (ws_net_profit BETWEEN 100 AND 200)) diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql index 66143c1610..93b6445ca6 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q89.sql @@ -25,6 +25,6 @@ FROM AND (i_class IN ('shirts' , 'birdal' , 'dresses')))) GROUP BY i_category, i_class, i_brand, s_store_name, s_company_name, d_moy ) tmp1 -WHERE ((CASE WHEN (avg_monthly_sales <> 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > CAST('0.1' AS DECIMAL)) +WHERE ((CASE WHEN (avg_monthly_sales <> 0) THEN (abs((sum_sales - avg_monthly_sales)) / avg_monthly_sales) ELSE null END) > 0.1) ORDER BY (sum_sales - avg_monthly_sales) ASC, s_store_name ASC LIMIT 100 diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql index bee05f5b97..9602de0e06 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q90.sql @@ -1,4 +1,4 @@ -SELECT (CAST(amc AS DECIMAL(15,4)) / CAST(pmc AS DECIMAL(15,4))) am_pm_ratio +SELECT (amc / pmc) am_pm_ratio FROM ( SELECT count(*) amc diff --git a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql index 5e1f466411..4447689f0b 100644 --- a/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql +++ b/regression-test/suites/datev2/tpcds_sf1_p1/sql/q92.sql @@ -8,7 +8,7 @@ WHERE (i_manufact_id = 350) AND (d_date BETWEEN CAST('2000-01-27' AS DATE) AND (CAST('2000-01-27' AS DATE) + INTERVAL '90' DAY)) AND (d_date_sk = ws_sold_date_sk) AND (ws_ext_discount_amt > ( - SELECT (CAST('1.3' AS DECIMAL(2,1)) * avg(ws_ext_discount_amt)) + SELECT (1.3 * avg(ws_ext_discount_amt)) FROM web_sales , date_dim diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/customer.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/customer.sql new file mode 100644 index 0000000000..5116b275e7 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/customer.sql @@ -0,0 +1,16 @@ +CREATE TABLE IF NOT EXISTS customer ( + C_CUSTKEY INTEGER NOT NULL, + C_NAME VARCHAR(25) NOT NULL, + C_ADDRESS VARCHAR(40) NOT NULL, + C_NATIONKEY INTEGER NOT NULL, + C_PHONE CHAR(15) NOT NULL, + C_ACCTBAL DECIMALV3(15,2) NOT NULL, + C_MKTSEGMENT CHAR(10) NOT NULL, + C_COMMENT VARCHAR(117) NOT NULL +) +UNIQUE KEY(C_CUSTKEY) +DISTRIBUTED BY HASH(C_CUSTKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/customer_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/customer_delete.sql new file mode 100644 index 0000000000..a214fe920c --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/customer_delete.sql @@ -0,0 +1 @@ +DELETE FROM customer where C_CUSTKEY >= 0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/lineitem.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/lineitem.sql new file mode 100644 index 0000000000..6d860cba62 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/lineitem.sql @@ -0,0 +1,24 @@ +CREATE TABLE IF NOT EXISTS lineitem ( + L_ORDERKEY INTEGER NOT NULL, + L_PARTKEY INTEGER NOT NULL, + L_SUPPKEY INTEGER NOT NULL, + L_LINENUMBER INTEGER NOT NULL, + L_QUANTITY DECIMALV3(15,2) NOT NULL, + L_EXTENDEDPRICE DECIMALV3(15,2) NOT NULL, + L_DISCOUNT DECIMALV3(15,2) NOT NULL, + L_TAX DECIMALV3(15,2) NOT NULL, + L_RETURNFLAG CHAR(1) NOT NULL, + L_LINESTATUS CHAR(1) NOT NULL, + L_SHIPDATE DATEV2 NOT NULL, + L_COMMITDATE DATEV2 NOT NULL, + L_RECEIPTDATE DATEV2 NOT NULL, + L_SHIPINSTRUCT CHAR(25) NOT NULL, + L_SHIPMODE CHAR(10) NOT NULL, + L_COMMENT VARCHAR(44) NOT NULL +) +UNIQUE KEY(L_ORDERKEY, L_PARTKEY, L_SUPPKEY, L_LINENUMBER) +DISTRIBUTED BY HASH(L_ORDERKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/lineitem_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/lineitem_delete.sql new file mode 100644 index 0000000000..6dbbe49ed0 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/lineitem_delete.sql @@ -0,0 +1 @@ +DELETE from lineitem where L_ORDERKEY >= 0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/nation.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/nation.sql new file mode 100644 index 0000000000..d83e91c001 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/nation.sql @@ -0,0 +1,12 @@ +CREATE TABLE IF NOT EXISTS nation ( + N_NATIONKEY INTEGER NOT NULL, + N_NAME CHAR(25) NOT NULL, + N_REGIONKEY INTEGER NOT NULL, + N_COMMENT VARCHAR(152) +) +UNIQUE KEY(N_NATIONKEY) +DISTRIBUTED BY HASH(N_NATIONKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/nation_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/nation_delete.sql new file mode 100644 index 0000000000..9fb7c085a6 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/nation_delete.sql @@ -0,0 +1 @@ +DELETE from nation where N_NATIONKEY >= 0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/orders.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/orders.sql new file mode 100644 index 0000000000..c0f15a3004 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/orders.sql @@ -0,0 +1,17 @@ +CREATE TABLE IF NOT EXISTS orders ( + O_ORDERKEY INTEGER NOT NULL, + O_CUSTKEY INTEGER NOT NULL, + O_ORDERSTATUS CHAR(1) NOT NULL, + O_TOTALPRICE DECIMALV3(15,2) NOT NULL, + O_ORDERDATE DATEV2 NOT NULL, + O_ORDERPRIORITY CHAR(15) NOT NULL, + O_CLERK CHAR(15) NOT NULL, + O_SHIPPRIORITY INTEGER NOT NULL, + O_COMMENT VARCHAR(79) NOT NULL +) +UNIQUE KEY(O_ORDERKEY) +DISTRIBUTED BY HASH(O_ORDERKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/orders_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/orders_delete.sql new file mode 100644 index 0000000000..5199d8f296 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/orders_delete.sql @@ -0,0 +1 @@ +delete from orders where O_ORDERKEY >= 0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/part.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/part.sql new file mode 100644 index 0000000000..600f6e8bb8 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/part.sql @@ -0,0 +1,17 @@ +CREATE TABLE IF NOT EXISTS part ( + P_PARTKEY INTEGER NOT NULL, + P_NAME VARCHAR(55) NOT NULL, + P_MFGR CHAR(25) NOT NULL, + P_BRAND CHAR(10) NOT NULL, + P_TYPE VARCHAR(25) NOT NULL, + P_SIZE INTEGER NOT NULL, + P_CONTAINER CHAR(10) NOT NULL, + P_RETAILPRICE DECIMALV3(15,2) NOT NULL, + P_COMMENT VARCHAR(23) NOT NULL +) +UNIQUE KEY(P_PARTKEY) +DISTRIBUTED BY HASH(P_PARTKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/part_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/part_delete.sql new file mode 100644 index 0000000000..ee1a2e5104 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/part_delete.sql @@ -0,0 +1 @@ +delete from part where P_PARTKEY>=0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/partsupp.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/partsupp.sql new file mode 100644 index 0000000000..7d7fd8b601 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/partsupp.sql @@ -0,0 +1,13 @@ +CREATE TABLE IF NOT EXISTS partsupp ( + PS_PARTKEY INTEGER NOT NULL, + PS_SUPPKEY INTEGER NOT NULL, + PS_AVAILQTY INTEGER NOT NULL, + PS_SUPPLYCOST DECIMALV3(15,2) NOT NULL, + PS_COMMENT VARCHAR(199) NOT NULL +) +UNIQUE KEY(PS_PARTKEY, PS_SUPPKEY) +DISTRIBUTED BY HASH(PS_PARTKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/partsupp_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/partsupp_delete.sql new file mode 100644 index 0000000000..067cff3a6f --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/partsupp_delete.sql @@ -0,0 +1 @@ +delete from partsupp where PS_PARTKEY>=0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/region.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/region.sql new file mode 100644 index 0000000000..f83fd250ec --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/region.sql @@ -0,0 +1,11 @@ +CREATE TABLE IF NOT EXISTS region ( + R_REGIONKEY INTEGER NOT NULL, + R_NAME CHAR(25) NOT NULL, + R_COMMENT VARCHAR(152) +) +UNIQUE KEY(R_REGIONKEY) +DISTRIBUTED BY HASH(R_REGIONKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/region_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/region_delete.sql new file mode 100644 index 0000000000..4945d5105a --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/region_delete.sql @@ -0,0 +1 @@ +delete from region where R_REGIONKEY>=0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/revenue1.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/revenue1.sql new file mode 100644 index 0000000000..508f78b573 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/revenue1.sql @@ -0,0 +1,11 @@ +CREATE VIEW IF NOT EXISTS revenue1 AS + SELECT + l_suppkey AS supplier_no, + sum(l_extendedprice * (1 - l_discount)) AS total_revenue + FROM + lineitem + WHERE + l_shipdate >= DATEV2 '1996-01-01' + AND l_shipdate < DATEV2 '1996-01-01' + INTERVAL '3' MONTH +GROUP BY + l_suppkey; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/revenue1_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/revenue1_delete.sql new file mode 100644 index 0000000000..c2ee91a38a --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/revenue1_delete.sql @@ -0,0 +1 @@ +drop view IF EXISTS revenue1; \ No newline at end of file diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/supplier.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/supplier.sql new file mode 100644 index 0000000000..5ac5a517d8 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/supplier.sql @@ -0,0 +1,14 @@ +CREATE TABLE IF NOT EXISTS supplier ( + S_SUPPKEY INTEGER NOT NULL, + S_NAME CHAR(25) NOT NULL, + S_ADDRESS VARCHAR(40) NOT NULL, + S_NATIONKEY INTEGER NOT NULL, + S_PHONE CHAR(15) NOT NULL, + S_ACCTBAL DECIMALV3(15,2) NOT NULL, + S_COMMENT VARCHAR(101) NOT NULL +) +UNIQUE KEY(S_SUPPKEY) +DISTRIBUTED BY HASH(S_SUPPKEY) BUCKETS 1 +PROPERTIES ( + "replication_num" = "1" +) diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/supplier_delete.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/supplier_delete.sql new file mode 100644 index 0000000000..d8327a8f85 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/ddl/supplier_delete.sql @@ -0,0 +1 @@ +delete from supplier where S_SUPPKEY>=0; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/load.groovy b/regression-test/suites/decimalv3/tpch_sf1_p1/load.groovy new file mode 100644 index 0000000000..dad3a7dc73 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/load.groovy @@ -0,0 +1,105 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +suite("load") { + + // tpch_sf1_p1 is writted to test unique key table merge correctly. + // It creates unique key table and sets bucket num to 1 in order to make sure that + // many rowsets will be created during loading and then the merge process will be triggered. + + def tables = ["customer", "lineitem", "nation", "orders", "part", "partsupp", "region", "supplier"] + + for (String table in tables) { + sql new File("""${context.file.parent}/ddl/${table}.sql""").text + sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text + } + + for (String tableName in tables) { + streamLoad { + // a default db 'regression_test' is specified in + // ${DORIS_HOME}/conf/regression-conf.groovy + table tableName + + // default label is UUID: + // set 'label' UUID.randomUUID().toString() + + // default column_separator is specify in doris fe config, usually is '\t'. + // this line change to ',' + set 'column_separator', '|' + set 'compress_type', 'GZ' + + // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv. + // also, you can stream load a http stream, e.g. http://xxx/some.csv + file """${context.sf1DataPath}/tpch/sf1/${tableName}.csv.split00.gz""" + + time 10000 // limit inflight 10s + + // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows + + // if declared a check callback, the default check condition will ignore. + // So you must check all condition + check { result, exception, startTime, endTime -> + if (exception != null) { + throw exception + } + log.info("Stream load result: ${result}".toString()) + def json = parseJson(result) + assertEquals("success", json.Status.toLowerCase()) + assertEquals(json.NumberTotalRows, json.NumberLoadedRows) + assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0) + } + } + streamLoad { + // a default db 'regression_test' is specified in + // ${DORIS_HOME}/conf/regression-conf.groovy + table tableName + + // default label is UUID: + // set 'label' UUID.randomUUID().toString() + + // default column_separator is specify in doris fe config, usually is '\t'. + // this line change to ',' + set 'column_separator', '|' + set 'compress_type', 'GZ' + + // relate to ${DORIS_HOME}/regression-test/data/demo/streamload_input.csv. + // also, you can stream load a http stream, e.g. http://xxx/some.csv + file """${context.sf1DataPath}/tpch/sf1/${tableName}.csv.split01.gz""" + + time 10000 // limit inflight 10s + + // stream load action will check result, include Success status, and NumberTotalRows == NumberLoadedRows + + // if declared a check callback, the default check condition will ignore. + // So you must check all condition + check { result, exception, startTime, endTime -> + if (exception != null) { + throw exception + } + log.info("Stream load result: ${result}".toString()) + def json = parseJson(result) + assertEquals("success", json.Status.toLowerCase()) + assertEquals(json.NumberTotalRows, json.NumberLoadedRows) + assertTrue(json.NumberLoadedRows > 0 && json.LoadBytes > 0) + } + } + } + + def table = "revenue1" + sql new File("""${context.file.parent}/ddl/${table}_delete.sql""").text + sql new File("""${context.file.parent}/ddl/${table}.sql""").text +} diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q01.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q01.sql new file mode 100644 index 0000000000..c84c5690f5 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q01.sql @@ -0,0 +1,22 @@ +-- tables: lineitem +SELECT + l_returnflag, + l_linestatus, + sum(l_quantity) AS sum_qty, + sum(l_extendedprice) AS sum_base_price, + sum(l_extendedprice * (1 - l_discount)) AS sum_disc_price, + sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) AS sum_charge, + avg(l_quantity) AS avg_qty, + avg(l_extendedprice) AS avg_price, + avg(l_discount) AS avg_disc, + count(*) AS count_order +FROM + lineitem +WHERE + l_shipdate <= DATEV2 '1998-12-01' - INTERVAL '90' DAY +GROUP BY +l_returnflag, +l_linestatus +ORDER BY +l_returnflag, +l_linestatus diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q02.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q02.sql new file mode 100644 index 0000000000..8c60ec1929 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q02.sql @@ -0,0 +1,42 @@ +-- tables: part,supplier,partsupp,nation,region +SELECT + s_acctbal, + s_name, + n_name, + p_partkey, + p_mfgr, + s_address, + s_phone, + s_comment +FROM + part, + supplier, + partsupp, + nation, + region +WHERE + p_partkey = ps_partkey + AND s_suppkey = ps_suppkey + AND p_size = 15 + AND p_type LIKE '%BRASS' + AND s_nationkey = n_nationkey + AND n_regionkey = r_regionkey + AND r_name = 'EUROPE' + AND ps_supplycost = ( + SELECT min(ps_supplycost) + FROM + partsupp, supplier, + nation, region + WHERE + p_partkey = ps_partkey + AND s_suppkey = ps_suppkey + AND s_nationkey = n_nationkey + AND n_regionkey = r_regionkey + AND r_name = 'EUROPE' + ) +ORDER BY + s_acctbal DESC, + n_name, + s_name, + p_partkey +LIMIT 100 diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q03.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q03.sql new file mode 100644 index 0000000000..48aa067068 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q03.sql @@ -0,0 +1,24 @@ +-- tables: customer,orders,lineitem +SELECT + l_orderkey, + sum(l_extendedprice * (1 - l_discount)) AS revenue, + o_orderdate, + o_shippriority +FROM + customer, + orders, + lineitem +WHERE + c_mktsegment = 'BUILDING' + AND c_custkey = o_custkey + AND l_orderkey = o_orderkey + AND o_orderdate < DATEV2 '1995-03-15' + AND l_shipdate > DATEV2 '1995-03-15' +GROUP BY + l_orderkey, + o_orderdate, + o_shippriority +ORDER BY + revenue DESC, + o_orderdate +LIMIT 10 diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q04.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q04.sql new file mode 100644 index 0000000000..e271215677 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q04.sql @@ -0,0 +1,19 @@ +-- tables: orders,lineitem +SELECT + o_orderpriority, + count(*) AS order_count +FROM orders +WHERE + o_orderdate >= DATEV2 '1993-07-01' + AND o_orderdate < DATEV2 '1993-07-01' + INTERVAL '3' MONTH +AND EXISTS ( +SELECT * +FROM lineitem +WHERE +l_orderkey = o_orderkey +AND l_commitdate < l_receiptdate +) +GROUP BY +o_orderpriority +ORDER BY +o_orderpriority diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q05.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q05.sql new file mode 100644 index 0000000000..97531e173f --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q05.sql @@ -0,0 +1,25 @@ +-- tables: customer,orders,lineitem,supplier,nation,region +SELECT + n_name, + sum(l_extendedprice * (1 - l_discount)) AS revenue +FROM + customer, + orders, + lineitem, + supplier, + nation, + region +WHERE + c_custkey = o_custkey + AND l_orderkey = o_orderkey + AND l_suppkey = s_suppkey + AND c_nationkey = s_nationkey + AND s_nationkey = n_nationkey + AND n_regionkey = r_regionkey + AND r_name = 'ASIA' + AND o_orderdate >= DATEV2 '1994-01-01' + AND o_orderdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR +GROUP BY +n_name +ORDER BY +revenue DESC diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q06.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q06.sql new file mode 100644 index 0000000000..ade16288a1 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q06.sql @@ -0,0 +1,11 @@ +-- tables: lineitem + +SELECT sum(l_extendedprice * l_discount) AS revenue +FROM + lineitem +WHERE + l_shipdate >= DATEV2 '1994-01-01' + AND l_shipdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR +AND l_discount BETWEEN 0.06 - 0.01 AND .06 + 0.01 +AND l_quantity < 24 + diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q07.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q07.sql new file mode 100644 index 0000000000..93c90deab4 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q07.sql @@ -0,0 +1,39 @@ +-- tables: supplier,lineitem,orders,customer,nation +SELECT + supp_nation, + cust_nation, + l_year, + sum(volume) AS revenue +FROM ( + SELECT + n1.n_name AS supp_nation, + n2.n_name AS cust_nation, + extract(YEAR FROM l_shipdate) AS l_year, + l_extendedprice * (1 - l_discount) AS volume + FROM + supplier, + lineitem, + orders, + customer, + nation n1, + nation n2 + WHERE + s_suppkey = l_suppkey + AND o_orderkey = l_orderkey + AND c_custkey = o_custkey + AND s_nationkey = n1.n_nationkey + AND c_nationkey = n2.n_nationkey + AND ( + (n1.n_name = 'FRANCE' AND n2.n_name = 'GERMANY') + OR (n1.n_name = 'GERMANY' AND n2.n_name = 'FRANCE') + ) + AND l_shipdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31' + ) AS shipping +GROUP BY + supp_nation, + cust_nation, + l_year +ORDER BY + supp_nation, + cust_nation, + l_year diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q08.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q08.sql new file mode 100644 index 0000000000..a8e34eb24e --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q08.sql @@ -0,0 +1,38 @@ +-- tables: part,supplier,lineitem,orders,customer,nation,region +SELECT + o_year, + sum(CASE + WHEN nation = 'BRAZIL' + THEN volume + ELSE 0 + END) / sum(volume) AS mkt_share +FROM ( + SELECT + extract(YEAR FROM o_orderdate) AS o_year, + l_extendedprice * (1 - l_discount) AS volume, + n2.n_name AS nation + FROM + part, + supplier, + lineitem, + orders, + customer, + nation n1, + nation n2, + region + WHERE + p_partkey = l_partkey + AND s_suppkey = l_suppkey + AND l_orderkey = o_orderkey + AND o_custkey = c_custkey + AND c_nationkey = n1.n_nationkey + AND n1.n_regionkey = r_regionkey + AND r_name = 'AMERICA' + AND s_nationkey = n2.n_nationkey + AND o_orderdate BETWEEN DATEV2 '1995-01-01' AND DATEV2 '1996-12-31' + AND p_type = 'ECONOMY ANODIZED STEEL' + ) AS all_nations +GROUP BY + o_year +ORDER BY + o_year diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q09.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q09.sql new file mode 100644 index 0000000000..9236941881 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q09.sql @@ -0,0 +1,32 @@ +-- tables: part,supplier,lineitem,partsupp,orders,nation +SELECT + nation, + o_year, + sum(amount) AS sum_profit +FROM ( + SELECT + n_name AS nation, + extract(YEAR FROM o_orderdate) AS o_year, + l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity AS amount + FROM + part, + supplier, + lineitem, + partsupp, + orders, + nation + WHERE + s_suppkey = l_suppkey + AND ps_suppkey = l_suppkey + AND ps_partkey = l_partkey + AND p_partkey = l_partkey + AND o_orderkey = l_orderkey + AND s_nationkey = n_nationkey + AND p_name LIKE '%green%' + ) AS profit +GROUP BY + nation, + o_year +ORDER BY + nation, + o_year DESC diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q10.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q10.sql new file mode 100644 index 0000000000..be55ce968d --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q10.sql @@ -0,0 +1,33 @@ +-- tables: customer,orders,lineitem,nation +SELECT + c_custkey, + c_name, + sum(l_extendedprice * (1 - l_discount)) AS revenue, + c_acctbal, + n_name, + c_address, + c_phone, + c_comment +FROM + customer, + orders, + lineitem, + nation +WHERE + c_custkey = o_custkey + AND l_orderkey = o_orderkey + AND o_orderdate >= DATEV2 '1993-10-01' + AND o_orderdate < DATEV2 '1993-10-01' + INTERVAL '3' MONTH + AND l_returnflag = 'R' + AND c_nationkey = n_nationkey +GROUP BY + c_custkey, + c_name, + c_acctbal, + c_phone, + n_name, + c_address, + c_comment +ORDER BY + revenue DESC +LIMIT 20 diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q11.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q11.sql new file mode 100644 index 0000000000..18856461ea --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q11.sql @@ -0,0 +1,28 @@ +-- tables: partsupp,supplier,nation +SELECT + ps_partkey, + sum(ps_supplycost * ps_availqty) AS value +FROM + partsupp, + supplier, + nation +WHERE + ps_suppkey = s_suppkey + AND s_nationkey = n_nationkey + AND n_name = 'GERMANY' +GROUP BY + ps_partkey +HAVING + sum(ps_supplycost * ps_availqty) > ( + SELECT sum(ps_supplycost * ps_availqty) * 0.0001 + FROM + partsupp, + supplier, + nation + WHERE + ps_suppkey = s_suppkey + AND s_nationkey = n_nationkey + AND n_name = 'GERMANY' + ) +ORDER BY + value DESC diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q12.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q12.sql new file mode 100644 index 0000000000..47a704e921 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q12.sql @@ -0,0 +1,29 @@ +-- tables: orders,lineitem +SELECT + l_shipmode, + sum(CASE + WHEN o_orderpriority = '1-URGENT' + OR o_orderpriority = '2-HIGH' + THEN 1 + ELSE 0 + END) AS high_line_count, + sum(CASE + WHEN o_orderpriority <> '1-URGENT' + AND o_orderpriority <> '2-HIGH' + THEN 1 + ELSE 0 + END) AS low_line_count +FROM + orders, + lineitem +WHERE + o_orderkey = l_orderkey + AND l_shipmode IN ('MAIL', 'SHIP') + AND l_commitdate < l_receiptdate + AND l_shipdate < l_commitdate + AND l_receiptdate >= DATEV2 '1994-01-01' + AND l_receiptdate < DATEV2 '1994-01-01' + INTERVAL '1' YEAR +GROUP BY + l_shipmode +ORDER BY + l_shipmode diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q13.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q13.sql new file mode 100644 index 0000000000..f7d69a955f --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q13.sql @@ -0,0 +1,21 @@ +-- tables: customer +SELECT + c_count, + count(*) AS custdist +FROM ( + SELECT + c_custkey, + count(o_orderkey) AS c_count + FROM + customer + LEFT OUTER JOIN orders ON + c_custkey = o_custkey + AND o_comment NOT LIKE '%special%requests%' + GROUP BY + c_custkey + ) AS c_orders +GROUP BY + c_count +ORDER BY + custdist DESC, + c_count DESC diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q14.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q14.sql new file mode 100644 index 0000000000..6673d44e16 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q14.sql @@ -0,0 +1,13 @@ +-- tables: lineitem,part +SELECT 100.00 * sum(CASE + WHEN p_type LIKE 'PROMO%' + THEN l_extendedprice * (1 - l_discount) + ELSE 0 + END) / sum(l_extendedprice * (1 - l_discount)) AS promo_revenue +FROM + lineitem, + part +WHERE + l_partkey = p_partkey + AND l_shipdate >= DATEV2 '1995-09-01' + AND l_shipdate < DATEV2 '1995-09-01' + INTERVAL '1' MONTH diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q15.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q15.sql new file mode 100644 index 0000000000..74e2c08e09 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q15.sql @@ -0,0 +1,19 @@ +-- tables: lineitem,supplier +SELECT + s_suppkey, + s_name, + s_address, + s_phone, + total_revenue +FROM + supplier, + revenue1 +WHERE + s_suppkey = supplier_no + AND total_revenue = ( + SELECT max(total_revenue) + FROM + revenue1 + ) +ORDER BY + s_suppkey; diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q16.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q16.sql new file mode 100644 index 0000000000..277777cb13 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q16.sql @@ -0,0 +1,30 @@ +-- tables: partsupp,part,supplier +SELECT + p_brand, + p_type, + p_size, + count(DISTINCT ps_suppkey) AS supplier_cnt +FROM + partsupp, + part +WHERE + p_partkey = ps_partkey + AND p_brand <> 'Brand#45' + AND p_type NOT LIKE 'MEDIUM POLISHED%' + AND p_size IN (49, 14, 23, 45, 19, 3, 36, 9) + AND ps_suppkey NOT IN ( + SELECT s_suppkey + FROM + supplier + WHERE + s_comment LIKE '%Customer%Complaints%' + ) +GROUP BY + p_brand, + p_type, + p_size +ORDER BY + supplier_cnt DESC, + p_brand, + p_type, + p_size diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q17.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q17.sql new file mode 100644 index 0000000000..c37f2ceedb --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q17.sql @@ -0,0 +1,16 @@ +-- tables: lineitem,part +SELECT sum(l_extendedprice) / 7.0 AS avg_yearly +FROM + lineitem, + part +WHERE + p_partkey = l_partkey + AND p_brand = 'Brand#23' + AND p_container = 'MED BOX' + AND l_quantity < ( + SELECT 0.2 * avg(l_quantity) + FROM + lineitem + WHERE + l_partkey = p_partkey + ) diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q18.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q18.sql new file mode 100644 index 0000000000..98db1d6046 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q18.sql @@ -0,0 +1,34 @@ +-- tables: customer,orders,lineitem +SELECT + c_name, + c_custkey, + o_orderkey, + o_orderdate, + o_totalprice, + sum(l_quantity) +FROM + customer, + orders, + lineitem +WHERE + o_orderkey IN ( + SELECT l_orderkey + FROM + lineitem + GROUP BY + l_orderkey + HAVING + sum(l_quantity) > 300 + ) + AND c_custkey = o_custkey + AND o_orderkey = l_orderkey +GROUP BY + c_name, + c_custkey, + o_orderkey, + o_orderdate, + o_totalprice +ORDER BY + o_totalprice DESC, + o_orderdate +LIMIT 100 diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q19.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q19.sql new file mode 100644 index 0000000000..c4e107cd68 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q19.sql @@ -0,0 +1,35 @@ +-- tables: lineitem,part +SELECT sum(l_extendedprice * (1 - l_discount)) AS revenue +FROM + lineitem, + part +WHERE + ( + p_partkey = l_partkey + AND p_brand = 'Brand#12' + AND p_container IN ('SM CASE', 'SM BOX', 'SM PACK', 'SM PKG') + AND l_quantity >= 1 AND l_quantity <= 1 + 10 + AND p_size BETWEEN 1 AND 5 + AND l_shipmode IN ('AIR', 'AIR REG') + AND l_shipinstruct = 'DELIVER IN PERSON' + ) + OR + ( + p_partkey = l_partkey + AND p_brand = 'Brand#23' + AND p_container IN ('MED BAG', 'MED BOX', 'MED PKG', 'MED PACK') + AND l_quantity >= 10 AND l_quantity <= 10 + 10 + AND p_size BETWEEN 1 AND 10 + AND l_shipmode IN ('AIR', 'AIR REG') + AND l_shipinstruct = 'DELIVER IN PERSON' + ) + OR + ( + p_partkey = l_partkey + AND p_brand = 'Brand#34' + AND p_container IN ('LG CASE', 'LG BOX', 'LG PACK', 'LG PKG') + AND l_quantity >= 20 AND l_quantity <= 20 + 10 + AND p_size BETWEEN 1 AND 15 + AND l_shipmode IN ('AIR', 'AIR REG') + AND l_shipinstruct = 'DELIVER IN PERSON' + ) diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q20.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q20.sql new file mode 100644 index 0000000000..ff8bb924d3 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q20.sql @@ -0,0 +1,33 @@ +-- tables: supplier,nation,partsupp,lineitem,part +SELECT + s_name, + s_address +FROM + supplier, nation +WHERE + s_suppkey IN ( + SELECT ps_suppkey + FROM + partsupp + WHERE + ps_partkey IN ( + SELECT p_partkey + FROM + part + WHERE + p_name LIKE 'forest%' + ) + AND ps_availqty > ( + SELECT 0.5 * sum(l_quantity) + FROM + lineitem + WHERE + l_partkey = ps_partkey + AND l_suppkey = ps_suppkey + AND l_shipdate >= datev2('1994-01-01') + AND l_shipdate < datev2('1994-01-01') + interval '1' YEAR +) +) +AND s_nationkey = n_nationkey +AND n_name = 'CANADA' +ORDER BY s_name diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q21.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q21.sql new file mode 100644 index 0000000000..961f2749dd --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q21.sql @@ -0,0 +1,39 @@ +-- tables: supplier,lineitem,orders,nation +SELECT + s_name, + count(*) AS numwait +FROM + supplier, + lineitem l1, + orders, + nation +WHERE + s_suppkey = l1.l_suppkey + AND o_orderkey = l1.l_orderkey + AND o_orderstatus = 'F' + AND l1.l_receiptdate > l1.l_commitdate + AND exists( + SELECT * + FROM + lineitem l2 + WHERE + l2.l_orderkey = l1.l_orderkey + AND l2.l_suppkey <> l1.l_suppkey + ) + AND NOT exists( + SELECT * + FROM + lineitem l3 + WHERE + l3.l_orderkey = l1.l_orderkey + AND l3.l_suppkey <> l1.l_suppkey + AND l3.l_receiptdate > l3.l_commitdate + ) + AND s_nationkey = n_nationkey + AND n_name = 'SAUDI ARABIA' +GROUP BY + s_name +ORDER BY + numwait DESC, + s_name +LIMIT 100 diff --git a/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q22.sql b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q22.sql new file mode 100644 index 0000000000..01da180458 --- /dev/null +++ b/regression-test/suites/decimalv3/tpch_sf1_p1/sql/q22.sql @@ -0,0 +1,35 @@ +-- tables: orders,customer +SELECT + cntrycode, + count(*) AS numcust, + sum(c_acctbal) AS totacctbal +FROM ( + SELECT + substr(c_phone, 1, 2) AS cntrycode, + c_acctbal + FROM + customer + WHERE + substr(c_phone, 1, 2) IN + ('13', '31', '23', '29', '30', '18', '17') + AND c_acctbal > ( + SELECT avg(c_acctbal) + FROM + customer + WHERE + c_acctbal > 0.00 + AND substr(c_phone, 1, 2) IN + ('13', '31', '23', '29', '30', '18', '17') + ) + AND NOT exists( + SELECT * + FROM + orders + WHERE + o_custkey = c_custkey + ) + ) AS custsale +GROUP BY + cntrycode +ORDER BY + cntrycode