From 520774a24b6414108821779d3f1fdd8c75cc575c Mon Sep 17 00:00:00 2001 From: zhangstar333 <87313068+zhangstar333@users.noreply.github.com> Date: Tue, 7 May 2024 13:58:32 +0800 Subject: [PATCH] [fix](serde) fix ipv4/v6 serde functions for arrow, orc, parquet format (#34042) this PR is from @sjyango work in #32326, wants merge #32326 into master branch, but it's draft and not maintain long time. so have this new PR. Co-authored-by: sjyango --- be/src/util/arrow/row_batch.cpp | 14 +- .../data_types/serde/data_type_ipv4_serde.cpp | 27 +- .../data_types/serde/data_type_ipv4_serde.h | 5 + .../data_types/serde/data_type_ipv6_serde.cpp | 87 +++- .../data_types/serde/data_type_ipv6_serde.h | 9 + .../serde/data_type_number_serde.cpp | 6 +- be/src/vec/functions/function_cast.h | 20 +- be/src/vec/runtime/vorc_transformer.cpp | 2 + .../apache/doris/analysis/OutFileClause.java | 8 + .../data/export_p0/test_export_csv.out | 460 +++++++++--------- .../data/export_p0/test_export_data_types.out | 48 +- .../data/export_p0/test_export_orc.out | 400 +++++++-------- .../data/export_p0/test_export_parquet.out | 400 +++++++-------- .../export_p0/test_outfile_csv_with_names.out | 40 +- .../test_outfile_csv_with_names_and_types.out | 40 +- .../suites/export_p0/test_export_csv.groovy | 38 +- .../export_p0/test_export_data_types.groovy | 20 +- .../export_p0/test_export_empty_table.groovy | 24 +- .../suites/export_p0/test_export_orc.groovy | 8 +- .../export_p0/test_export_parquet.groovy | 10 +- .../test_outfile_csv_with_names.groovy | 14 +- ...st_outfile_csv_with_names_and_types.groovy | 16 +- 22 files changed, 934 insertions(+), 762 deletions(-) diff --git a/be/src/util/arrow/row_batch.cpp b/be/src/util/arrow/row_batch.cpp index 8b97c7a76d..cb4ccf15ba 100644 --- a/be/src/util/arrow/row_batch.cpp +++ b/be/src/util/arrow/row_batch.cpp @@ -72,6 +72,14 @@ Status convert_to_arrow_type(const TypeDescriptor& type, std::shared_ptr(type.precision, type.scale); break; - case TYPE_IPV4: - *result = arrow::uint32(); - break; - case TYPE_IPV6: - *result = arrow::utf8(); - break; case TYPE_DECIMAL256: *result = std::make_shared(type.precision, type.scale); break; diff --git a/be/src/vec/data_types/serde/data_type_ipv4_serde.cpp b/be/src/vec/data_types/serde/data_type_ipv4_serde.cpp index 55ad8544b8..3d15e8a29b 100644 --- a/be/src/vec/data_types/serde/data_type_ipv4_serde.cpp +++ b/be/src/vec/data_types/serde/data_type_ipv4_serde.cpp @@ -20,6 +20,7 @@ #include #include "vec/columns/column_const.h" +#include "vec/core/types.h" #include "vec/io/io_helper.h" namespace doris { @@ -100,7 +101,7 @@ Status DataTypeIPv4SerDe::write_column_to_pb(const IColumn& column, PValues& res } Status DataTypeIPv4SerDe::read_column_from_pb(IColumn& column, const PValues& arg) const { - auto& col_data = static_cast(column).get_data(); + auto& col_data = assert_cast(column).get_data(); auto old_column_size = column.size(); column.resize(old_column_size + arg.uint32_value_size()); for (int i = 0; i < arg.uint32_value_size(); ++i) { @@ -108,5 +109,29 @@ Status DataTypeIPv4SerDe::read_column_from_pb(IColumn& column, const PValues& ar } return Status::OK(); } + +void DataTypeIPv4SerDe::write_column_to_arrow(const IColumn& column, const NullMap* null_map, + arrow::ArrayBuilder* array_builder, int start, + int end, const cctz::time_zone& ctz) const { + const auto& col_data = assert_cast(column).get_data(); + auto& int32_builder = assert_cast(*array_builder); + auto arrow_null_map = revert_null_map(null_map, start, end); + auto* arrow_null_map_data = arrow_null_map.empty() ? nullptr : arrow_null_map.data(); + checkArrowStatus(int32_builder.AppendValues( + reinterpret_cast(col_data.data()) + start, end - start, + reinterpret_cast(arrow_null_map_data)), + column.get_name(), array_builder->type()->name()); +} + +void DataTypeIPv4SerDe::read_column_from_arrow(IColumn& column, const arrow::Array* arrow_array, + int start, int end, + const cctz::time_zone& ctz) const { + auto& col_data = assert_cast(column).get_data(); + int row_count = end - start; + /// buffers[0] is a null bitmap and buffers[1] are actual values + std::shared_ptr buffer = arrow_array->data()->buffers[1]; + const auto* raw_data = reinterpret_cast(buffer->data()) + start; + col_data.insert(raw_data, raw_data + row_count); +} } // namespace vectorized } // namespace doris \ No newline at end of file diff --git a/be/src/vec/data_types/serde/data_type_ipv4_serde.h b/be/src/vec/data_types/serde/data_type_ipv4_serde.h index 20f45e2bea..f6bd4eba6d 100644 --- a/be/src/vec/data_types/serde/data_type_ipv4_serde.h +++ b/be/src/vec/data_types/serde/data_type_ipv4_serde.h @@ -53,6 +53,11 @@ public: Status write_column_to_pb(const IColumn& column, PValues& result, int start, int end) const override; Status read_column_from_pb(IColumn& column, const PValues& arg) const override; + void write_column_to_arrow(const IColumn& column, const NullMap* null_map, + arrow::ArrayBuilder* array_builder, int start, int end, + const cctz::time_zone& ctz) const override; + void read_column_from_arrow(IColumn& column, const arrow::Array* arrow_array, int start, + int end, const cctz::time_zone& ctz) const override; private: template diff --git a/be/src/vec/data_types/serde/data_type_ipv6_serde.cpp b/be/src/vec/data_types/serde/data_type_ipv6_serde.cpp index a3a6d837b0..77de023485 100644 --- a/be/src/vec/data_types/serde/data_type_ipv6_serde.cpp +++ b/be/src/vec/data_types/serde/data_type_ipv6_serde.cpp @@ -19,6 +19,8 @@ #include +#include + #include "vec/columns/column_const.h" #include "vec/core/types.h" #include "vec/io/io_helper.h" @@ -103,7 +105,7 @@ Status DataTypeIPv6SerDe::write_column_to_pb(const IColumn& column, PValues& res } Status DataTypeIPv6SerDe::read_column_from_pb(IColumn& column, const PValues& arg) const { - auto& col_data = static_cast(column).get_data(); + auto& col_data = assert_cast(column).get_data(); auto old_column_size = column.size(); col_data.resize(old_column_size + arg.bytes_value_size()); for (int i = 0; i < arg.bytes_value_size(); ++i) { @@ -112,5 +114,88 @@ Status DataTypeIPv6SerDe::read_column_from_pb(IColumn& column, const PValues& ar return Status::OK(); } +void DataTypeIPv6SerDe::write_column_to_arrow(const IColumn& column, const NullMap* null_map, + arrow::ArrayBuilder* array_builder, int start, + int end, const cctz::time_zone& ctz) const { + const auto& col_data = assert_cast(column).get_data(); + auto& string_builder = assert_cast(*array_builder); + for (size_t i = start; i < end; ++i) { + if (null_map && (*null_map)[i]) { + checkArrowStatus(string_builder.AppendNull(), column.get_name(), + array_builder->type()->name()); + } else { + std::string ipv6_str = IPv6Value::to_string(col_data[i]); + checkArrowStatus(string_builder.Append(ipv6_str.c_str(), ipv6_str.size()), + column.get_name(), array_builder->type()->name()); + } + } +} + +void DataTypeIPv6SerDe::read_column_from_arrow(IColumn& column, const arrow::Array* arrow_array, + int start, int end, + const cctz::time_zone& ctz) const { + auto& col_data = assert_cast(column).get_data(); + const auto* concrete_array = assert_cast(arrow_array); + std::shared_ptr buffer = concrete_array->value_data(); + + for (size_t offset_i = start; offset_i < end; ++offset_i) { + if (!concrete_array->IsNull(offset_i)) { + const char* raw_data = reinterpret_cast( + buffer->data() + concrete_array->value_offset(offset_i)); + const auto raw_data_len = concrete_array->value_length(offset_i); + + IPv6 ipv6_val; + if (!IPv6Value::from_string(ipv6_val, raw_data, raw_data_len)) { + throw doris::Exception(ErrorCode::INVALID_ARGUMENT, + "parse number fail, string: '{}'", + std::string(raw_data, raw_data_len).c_str()); + } + col_data.emplace_back(ipv6_val); + } + } +} + +Status DataTypeIPv6SerDe::write_column_to_orc(const std::string& timezone, const IColumn& column, + const NullMap* null_map, + orc::ColumnVectorBatch* orc_col_batch, int start, + int end, std::vector& buffer_list) const { + const auto& col_data = assert_cast(column).get_data(); + orc::StringVectorBatch* cur_batch = assert_cast(orc_col_batch); + char* ptr = (char*)malloc(BUFFER_UNIT_SIZE); + if (!ptr) { + return Status::InternalError( + "malloc memory error when write largeint column data to orc file."); + } + StringRef bufferRef; + bufferRef.data = ptr; + bufferRef.size = BUFFER_UNIT_SIZE; + size_t offset = 0; + const size_t begin_off = offset; + + for (size_t row_id = start; row_id < end; row_id++) { + if (cur_batch->notNull[row_id] == 0) { + continue; + } + std::string ipv6_str = IPv6Value::to_string(col_data[row_id]); + size_t len = ipv6_str.size(); + + REALLOC_MEMORY_FOR_ORC_WRITER() + + strcpy(const_cast(bufferRef.data) + offset, ipv6_str.c_str()); + offset += len; + cur_batch->length[row_id] = len; + } + size_t data_off = 0; + for (size_t row_id = start; row_id < end; row_id++) { + if (cur_batch->notNull[row_id] == 1) { + cur_batch->data[row_id] = const_cast(bufferRef.data) + begin_off + data_off; + data_off += cur_batch->length[row_id]; + } + } + buffer_list.emplace_back(bufferRef); + cur_batch->numElements = end - start; + return Status::OK(); +} + } // namespace vectorized } // namespace doris \ No newline at end of file diff --git a/be/src/vec/data_types/serde/data_type_ipv6_serde.h b/be/src/vec/data_types/serde/data_type_ipv6_serde.h index 308f4639b7..2b1d1c6eea 100644 --- a/be/src/vec/data_types/serde/data_type_ipv6_serde.h +++ b/be/src/vec/data_types/serde/data_type_ipv6_serde.h @@ -56,6 +56,15 @@ public: Status write_column_to_pb(const IColumn& column, PValues& result, int start, int end) const override; Status read_column_from_pb(IColumn& column, const PValues& arg) const override; + Status write_column_to_orc(const std::string& timezone, const IColumn& column, + const NullMap* null_map, orc::ColumnVectorBatch* orc_col_batch, + int start, int end, + std::vector& buffer_list) const override; + void write_column_to_arrow(const IColumn& column, const NullMap* null_map, + arrow::ArrayBuilder* array_builder, int start, int end, + const cctz::time_zone& ctz) const override; + void read_column_from_arrow(IColumn& column, const arrow::Array* arrow_array, int start, + int end, const cctz::time_zone& ctz) const override; private: template diff --git a/be/src/vec/data_types/serde/data_type_number_serde.cpp b/be/src/vec/data_types/serde/data_type_number_serde.cpp index bbb042078a..42f87a674e 100644 --- a/be/src/vec/data_types/serde/data_type_number_serde.cpp +++ b/be/src/vec/data_types/serde/data_type_number_serde.cpp @@ -84,7 +84,7 @@ void DataTypeNumberSerDe::write_column_to_arrow(const IColumn& column, const end - start, reinterpret_cast(arrow_null_map_data)), column.get_name(), array_builder->type()->name()); - } else if constexpr (std::is_same_v || std::is_same_v) { + } else if constexpr (std::is_same_v) { auto& string_builder = assert_cast(*array_builder); for (size_t i = start; i < end; ++i) { auto& data_value = col_data[i]; @@ -97,7 +97,7 @@ void DataTypeNumberSerDe::write_column_to_arrow(const IColumn& column, const column.get_name(), array_builder->type()->name()); } } - } else if constexpr (std::is_same_v) { + } else if constexpr (std::is_same_v || std::is_same_v) { } else { ARROW_BUILDER_TYPE& builder = assert_cast(*array_builder); checkArrowStatus( @@ -344,6 +344,8 @@ Status DataTypeNumberSerDe::write_column_to_orc(const std::string& timezone, WRITE_INTEGRAL_COLUMN_TO_ORC(orc::FloatVectorBatch) } else if constexpr (std::is_same_v) { // double WRITE_INTEGRAL_COLUMN_TO_ORC(orc::DoubleVectorBatch) + } else if constexpr (std::is_same_v) { // ipv4 + WRITE_INTEGRAL_COLUMN_TO_ORC(orc::IntVectorBatch) } return Status::OK(); } diff --git a/be/src/vec/functions/function_cast.h b/be/src/vec/functions/function_cast.h index efb73c2a1b..d19cb4d857 100644 --- a/be/src/vec/functions/function_cast.h +++ b/be/src/vec/functions/function_cast.h @@ -985,24 +985,23 @@ struct NameToDateTime { }; template -bool try_parse_impl(typename DataType::FieldType& x, ReadBuffer& rb, - const cctz::time_zone& local_time_zone, +bool try_parse_impl(typename DataType::FieldType& x, ReadBuffer& rb, FunctionContext* context, Additions additions [[maybe_unused]] = Additions()) { if constexpr (IsDateTimeType) { - return try_read_datetime_text(x, rb, local_time_zone); + return try_read_datetime_text(x, rb, context->state()->timezone_obj()); } if constexpr (IsDateType) { - return try_read_date_text(x, rb, local_time_zone); + return try_read_date_text(x, rb, context->state()->timezone_obj()); } if constexpr (IsDateV2Type) { - return try_read_date_v2_text(x, rb, local_time_zone); + return try_read_date_v2_text(x, rb, context->state()->timezone_obj()); } if constexpr (IsDateTimeV2Type) { UInt32 scale = additions; - return try_read_datetime_v2_text(x, rb, local_time_zone, scale); + return try_read_datetime_v2_text(x, rb, context->state()->timezone_obj(), scale); } if constexpr (IsIPv4Type) { @@ -1019,7 +1018,7 @@ bool try_parse_impl(typename DataType::FieldType& x, ReadBuffer& rb, auto len = rb.count(); auto s = rb.position(); rb.position() = rb.end(); // make is_all_read = true - auto ret = TimeCast::try_parse_time(s, len, x, local_time_zone); + auto ret = TimeCast::try_parse_time(s, len, x, context->state()->timezone_obj()); x *= (1000 * 1000); return ret; } @@ -1546,12 +1545,11 @@ struct ConvertThroughParsing { } else if constexpr (IsDataTypeDateTimeV2) { const auto* type = assert_cast( block.get_by_position(result).type.get()); - parsed = try_parse_impl(vec_to[i], read_buffer, - context->state()->timezone_obj(), + parsed = try_parse_impl(vec_to[i], read_buffer, context, type->get_scale()); } else { - parsed = try_parse_impl( - vec_to[i], read_buffer, context->state()->timezone_obj()); + parsed = try_parse_impl(vec_to[i], read_buffer, + context); } (*vec_null_map_to)[i] = !parsed || !is_all_read(read_buffer); current_offset = next_offset; diff --git a/be/src/vec/runtime/vorc_transformer.cpp b/be/src/vec/runtime/vorc_transformer.cpp index 3bf3d8cea7..7cd5b9ad10 100644 --- a/be/src/vec/runtime/vorc_transformer.cpp +++ b/be/src/vec/runtime/vorc_transformer.cpp @@ -167,6 +167,7 @@ std::unique_ptr VOrcTransformer::_build_orc_type(const TypeDescriptor case TYPE_SMALLINT: { return orc::createPrimitiveType(orc::SHORT); } + case TYPE_IPV4: case TYPE_INT: { return orc::createPrimitiveType(orc::INT); } @@ -188,6 +189,7 @@ std::unique_ptr VOrcTransformer::_build_orc_type(const TypeDescriptor case TYPE_STRING: { return orc::createPrimitiveType(orc::STRING); } + case TYPE_IPV6: case TYPE_BINARY: { return orc::createPrimitiveType(orc::STRING); } diff --git a/fe/fe-core/src/main/java/org/apache/doris/analysis/OutFileClause.java b/fe/fe-core/src/main/java/org/apache/doris/analysis/OutFileClause.java index 0314b225e6..58b4898db0 100644 --- a/fe/fe-core/src/main/java/org/apache/doris/analysis/OutFileClause.java +++ b/fe/fe-core/src/main/java/org/apache/doris/analysis/OutFileClause.java @@ -309,9 +309,13 @@ public class OutFileClause { case VARCHAR: orcType = "varchar(" + dorisType.getLength() + ")"; break; + case IPV4: + orcType = "int"; + break; case LARGEINT: case DATE: case DATETIME: + case IPV6: orcType = "string"; break; case DECIMALV2: @@ -423,9 +427,13 @@ public class OutFileClause { case VARCHAR: checkOrcType(schema.second, "varchar", false, resultType.getPrimitiveType().toString()); break; + case IPV4: + checkOrcType(schema.second, "int", false, resultType.getPrimitiveType().toString()); + break; case LARGEINT: case DATE: case DATETIME: + case IPV6: checkOrcType(schema.second, "string", true, resultType.getPrimitiveType().toString()); break; case DECIMAL32: diff --git a/regression-test/data/export_p0/test_export_csv.out b/regression-test/data/export_p0/test_export_csv.out index a712d0931c..9952ded917 100644 --- a/regression-test/data/export_p0/test_export_csv.out +++ b/regression-test/data/export_p0/test_export_csv.out @@ -1,241 +1,241 @@ -- This file is automatically generated. 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74 74 74 74.74 74.74 char74 74 -75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 -76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 -77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 -78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 -79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 -80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 -81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 -82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 -83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 -84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 -85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 -86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 -87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 -88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 -89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 -90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 -91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 -92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 -93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 -94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 -95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 -96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 -97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 -98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 -99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 -100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 0.0.0.10 ::10 +11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11 0.0.0.11 ::11 +12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12 0.0.0.12 ::12 +13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13 0.0.0.13 ::13 +14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14 0.0.0.14 ::14 +15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15 0.0.0.15 ::15 +16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16 0.0.0.16 ::16 +17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17 0.0.0.17 ::17 +18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18 0.0.0.18 ::18 +19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19 0.0.0.19 ::19 +20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 0.0.0.20 ::20 +21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 0.0.0.21 ::21 +22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 0.0.0.22 ::22 +23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 0.0.0.23 ::23 +24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 0.0.0.24 ::24 +25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 0.0.0.25 ::25 +26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26 0.0.0.26 ::26 +27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27 0.0.0.27 ::27 +28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28 0.0.0.28 ::28 +29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29 0.0.0.29 ::29 +30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30 30.3 30.3 char30 30 0.0.0.30 ::30 +31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31 31.31 31.31 char31 31 0.0.0.31 ::31 +32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32 32.32 32.32 char32 32 0.0.0.32 ::32 +33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33 33.33 33.33 char33 33 0.0.0.33 ::33 +34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34 34.34 34.34 char34 34 0.0.0.34 ::34 +35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35 35.35 35.35 char35 35 0.0.0.35 ::35 +36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36 36.36 36.36 char36 36 0.0.0.36 ::36 +37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37 37.37 37.37 char37 37 0.0.0.37 ::37 +38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38 38.38 38.38 char38 38 0.0.0.38 ::38 +39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39 39.39 39.39 char39 39 0.0.0.39 ::39 +40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40 40.4 40.4 char40 40 0.0.0.40 ::40 +41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41 41.41 41.41 char41 41 0.0.0.41 ::41 +42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42 42.42 42.42 char42 42 0.0.0.42 ::42 +43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43 43.43 43.43 char43 43 0.0.0.43 ::43 +44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44 44.44 44.44 char44 44 0.0.0.44 ::44 +45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45 45.45 45.45 char45 45 0.0.0.45 ::45 +46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46 46.46 46.46 char46 46 0.0.0.46 ::46 +47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47 47.47 47.47 char47 47 0.0.0.47 ::47 +48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48 48.48 48.48 char48 48 0.0.0.48 ::48 +49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49 49.49 49.49 char49 49 0.0.0.49 ::49 +50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50 50.5 50.5 char50 50 0.0.0.50 ::50 +51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51 51.51 51.51 char51 51 0.0.0.51 ::51 +52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52 52.52 52.52 char52 52 0.0.0.52 ::52 +53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53 53.53 53.53 char53 53 0.0.0.53 ::53 +54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54 54.54 54.54 char54 54 0.0.0.54 ::54 +55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55 55.55 55.55 char55 55 0.0.0.55 ::55 +56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56 0.0.0.56 ::56 +57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57 0.0.0.57 ::57 +58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58 0.0.0.58 ::58 +59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59 0.0.0.59 ::59 +60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60 0.0.0.60 ::60 +61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61 0.0.0.61 ::61 +62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62 0.0.0.62 ::62 +63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63 0.0.0.63 ::63 +64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64 0.0.0.64 ::64 +65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65 65.65 65.65 char65 65 0.0.0.65 ::65 +66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66 66.66 66.66 char66 66 0.0.0.66 ::66 +67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67 67.67 67.67 char67 67 0.0.0.67 ::67 +68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68 68.68 68.68 char68 68 0.0.0.68 ::68 +69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69 69.69 69.69 char69 69 0.0.0.69 ::69 +70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70 70.7 70.7 char70 70 0.0.0.70 ::70 +71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71 71.71 71.71 char71 71 0.0.0.71 ::71 +72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72 72.72 72.72 char72 72 0.0.0.72 ::72 +73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73 73.73 73.73 char73 73 0.0.0.73 ::73 +74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74 74.74 74.74 char74 74 0.0.0.74 ::74 +75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 0.0.0.75 ::75 +76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 0.0.0.76 ::76 +77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 0.0.0.77 ::77 +78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 0.0.0.78 ::78 +79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 0.0.0.79 ::79 +80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 0.0.0.80 ::80 +81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 0.0.0.81 ::81 +82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 0.0.0.82 ::82 +83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 0.0.0.83 ::83 +84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 0.0.0.84 ::84 +85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 0.0.0.85 ::85 +86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 0.0.0.86 ::86 +87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 0.0.0.87 ::87 +88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 0.0.0.88 ::88 +89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 0.0.0.89 ::89 +90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 0.0.0.90 ::90 +91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 0.0.0.91 ::91 +92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 0.0.0.92 ::92 +93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 0.0.0.93 ::93 +94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 0.0.0.94 ::94 +95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 0.0.0.95 ::95 +96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 0.0.0.96 ::96 +97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 0.0.0.97 ::97 +98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 0.0.0.98 ::98 +99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 0.0.0.99 ::99 +100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N \N \N -- !select_load1 -- -1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 -10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 -11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11 -12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12 -13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13 -14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14 -15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15 -16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16 -17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17 -18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18 -19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19 -20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 -21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 -22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 -23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 -24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 -25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 -26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26 -27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27 -28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28 -29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29 -30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30 30.3 30.3 char30 30 -31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31 31.31 31.31 char31 31 -32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32 32.32 32.32 char32 32 -33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33 33.33 33.33 char33 33 -34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34 34.34 34.34 char34 34 -35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35 35.35 35.35 char35 35 -36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36 36.36 36.36 char36 36 -37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37 37.37 37.37 char37 37 -38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38 38.38 38.38 char38 38 -39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39 39.39 39.39 char39 39 -40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40 40.4 40.4 char40 40 -41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41 41.41 41.41 char41 41 -42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42 42.42 42.42 char42 42 -43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43 43.43 43.43 char43 43 -44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44 44.44 44.44 char44 44 -45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45 45.45 45.45 char45 45 -46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46 46.46 46.46 char46 46 -47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47 47.47 47.47 char47 47 -48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48 48.48 48.48 char48 48 -49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49 49.49 49.49 char49 49 -50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50 50.5 50.5 char50 50 -51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51 51.51 51.51 char51 51 -52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52 52.52 52.52 char52 52 -53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53 53.53 53.53 char53 53 -54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54 54.54 54.54 char54 54 -55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55 55.55 55.55 char55 55 -56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56 -57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57 -58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58 -59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59 -60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60 -61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61 -62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62 -63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63 -64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64 -65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65 65.65 65.65 char65 65 -66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66 66.66 66.66 char66 66 -67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67 67.67 67.67 char67 67 -68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68 68.68 68.68 char68 68 -69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69 69.69 69.69 char69 69 -70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70 70.7 70.7 char70 70 -71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71 71.71 71.71 char71 71 -72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72 72.72 72.72 char72 72 -73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73 73.73 73.73 char73 73 -74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74 74.74 74.74 char74 74 -75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 -76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 -77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 -78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 -79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 -80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 -81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 -82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 -83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 -84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 -85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 -86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 -87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 -88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 -89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 -90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 -91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 -92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 -93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 -94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 -95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 -96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 -97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 -98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 -99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 -100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 0.0.0.10 ::10 +11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11 0.0.0.11 ::11 +12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12 0.0.0.12 ::12 +13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13 0.0.0.13 ::13 +14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14 0.0.0.14 ::14 +15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15 0.0.0.15 ::15 +16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16 0.0.0.16 ::16 +17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17 0.0.0.17 ::17 +18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18 0.0.0.18 ::18 +19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19 0.0.0.19 ::19 +20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 0.0.0.20 ::20 +21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 0.0.0.21 ::21 +22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 0.0.0.22 ::22 +23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 0.0.0.23 ::23 +24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 0.0.0.24 ::24 +25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 0.0.0.25 ::25 +26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26 0.0.0.26 ::26 +27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27 0.0.0.27 ::27 +28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28 0.0.0.28 ::28 +29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29 0.0.0.29 ::29 +30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30 30.3 30.3 char30 30 0.0.0.30 ::30 +31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31 31.31 31.31 char31 31 0.0.0.31 ::31 +32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32 32.32 32.32 char32 32 0.0.0.32 ::32 +33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33 33.33 33.33 char33 33 0.0.0.33 ::33 +34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34 34.34 34.34 char34 34 0.0.0.34 ::34 +35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35 35.35 35.35 char35 35 0.0.0.35 ::35 +36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36 36.36 36.36 char36 36 0.0.0.36 ::36 +37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37 37.37 37.37 char37 37 0.0.0.37 ::37 +38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38 38.38 38.38 char38 38 0.0.0.38 ::38 +39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39 39.39 39.39 char39 39 0.0.0.39 ::39 +40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40 40.4 40.4 char40 40 0.0.0.40 ::40 +41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41 41.41 41.41 char41 41 0.0.0.41 ::41 +42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42 42.42 42.42 char42 42 0.0.0.42 ::42 +43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43 43.43 43.43 char43 43 0.0.0.43 ::43 +44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44 44.44 44.44 char44 44 0.0.0.44 ::44 +45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45 45.45 45.45 char45 45 0.0.0.45 ::45 +46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46 46.46 46.46 char46 46 0.0.0.46 ::46 +47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47 47.47 47.47 char47 47 0.0.0.47 ::47 +48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48 48.48 48.48 char48 48 0.0.0.48 ::48 +49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49 49.49 49.49 char49 49 0.0.0.49 ::49 +50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50 50.5 50.5 char50 50 0.0.0.50 ::50 +51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51 51.51 51.51 char51 51 0.0.0.51 ::51 +52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52 52.52 52.52 char52 52 0.0.0.52 ::52 +53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53 53.53 53.53 char53 53 0.0.0.53 ::53 +54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54 54.54 54.54 char54 54 0.0.0.54 ::54 +55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55 55.55 55.55 char55 55 0.0.0.55 ::55 +56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56 0.0.0.56 ::56 +57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57 0.0.0.57 ::57 +58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58 0.0.0.58 ::58 +59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59 0.0.0.59 ::59 +60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60 0.0.0.60 ::60 +61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61 0.0.0.61 ::61 +62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62 0.0.0.62 ::62 +63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63 0.0.0.63 ::63 +64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64 0.0.0.64 ::64 +65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65 65.65 65.65 char65 65 0.0.0.65 ::65 +66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66 66.66 66.66 char66 66 0.0.0.66 ::66 +67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67 67.67 67.67 char67 67 0.0.0.67 ::67 +68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68 68.68 68.68 char68 68 0.0.0.68 ::68 +69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69 69.69 69.69 char69 69 0.0.0.69 ::69 +70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70 70.7 70.7 char70 70 0.0.0.70 ::70 +71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71 71.71 71.71 char71 71 0.0.0.71 ::71 +72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72 72.72 72.72 char72 72 0.0.0.72 ::72 +73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73 73.73 73.73 char73 73 0.0.0.73 ::73 +74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74 74.74 74.74 char74 74 0.0.0.74 ::74 +75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 0.0.0.75 ::75 +76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 0.0.0.76 ::76 +77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 0.0.0.77 ::77 +78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 0.0.0.78 ::78 +79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 0.0.0.79 ::79 +80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 0.0.0.80 ::80 +81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 0.0.0.81 ::81 +82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 0.0.0.82 ::82 +83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 0.0.0.83 ::83 +84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 0.0.0.84 ::84 +85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 0.0.0.85 ::85 +86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 0.0.0.86 ::86 +87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 0.0.0.87 ::87 +88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 0.0.0.88 ::88 +89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 0.0.0.89 ::89 +90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 0.0.0.90 ::90 +91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 0.0.0.91 ::91 +92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 0.0.0.92 ::92 +93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 0.0.0.93 ::93 +94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 0.0.0.94 ::94 +95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 0.0.0.95 ::95 +96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 0.0.0.96 ::96 +97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 0.0.0.97 ::97 +98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 0.0.0.98 ::98 +99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 0.0.0.99 ::99 +100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N \N \N -- !select_load2 -- -1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 -10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 0.0.0.10 ::10 -- !select_load3 -- -1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 -10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 0.0.0.10 ::10 -- !select_load4 -- -1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 -10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 0.0.0.10 ::10 diff --git a/regression-test/data/export_p0/test_export_data_types.out b/regression-test/data/export_p0/test_export_data_types.out index 2a582480b7..57bf96f4a2 100644 --- a/regression-test/data/export_p0/test_export_data_types.out +++ b/regression-test/data/export_p0/test_export_data_types.out @@ -1,37 +1,37 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !select_export1 -- -1 2023-04-20 2023-04-20 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 1 1 true 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 -2 9999-12-31 9999-12-31 9999-12-31T23:59:59 9999-12-31T23:59:59 2023-04-20T00:00:00.120 2023-04-20T00:00:00.334400 Haidian -32768 -128 true -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4E-45 4.9E-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 -3 2023-04-21 2023-04-21 2023-04-20T12:34:56 2023-04-20T00:00 2023-04-20T00:00:00.123 2023-04-20T00:00:00.123456 Beijing 32767 127 true 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157E308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -4 0000-01-01 0000-01-01 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 4 4 true 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 +1 2023-04-20 2023-04-20 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 1 1 true 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 0.0.0.1 ::1 +2 9999-12-31 9999-12-31 9999-12-31T23:59:59 9999-12-31T23:59:59 2023-04-20T00:00:00.120 2023-04-20T00:00:00.334400 Haidian -32768 -128 true -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4E-45 4.9E-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 0.0.0.0 :: +3 2023-04-21 2023-04-21 2023-04-20T12:34:56 2023-04-20T00:00 2023-04-20T00:00:00.123 2023-04-20T00:00:00.123456 Beijing 32767 127 true 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157E308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 255.255.255.255 ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff +4 0000-01-01 0000-01-01 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 4 4 true 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 0.0.0.4 ::4 -- !select_load1 -- -1 2023-04-20 2023-04-20 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 1 1 1 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 -2 9999-12-31 9999-12-31 9999-12-31 23:59:59 9999-12-31 23:59:59 2023-04-20 00:00:00.120000 2023-04-20 00:00:00.334400 Haidian -32768 -128 1 -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4013e-45 5e-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 -3 2023-04-21 2023-04-21 2023-04-20 12:34:56 2023-04-20 00:00:00 2023-04-20 00:00:00.123000 2023-04-20 00:00:00.123456 Beijing 32767 127 1 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157e+308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -4 0000-01-01 0000-01-01 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 4 4 1 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 +1 2023-04-20 2023-04-20 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 1 1 1 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 0.0.0.1 ::1 +2 9999-12-31 9999-12-31 9999-12-31 23:59:59 9999-12-31 23:59:59 2023-04-20 00:00:00.120000 2023-04-20 00:00:00.334400 Haidian -32768 -128 1 -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4013e-45 5e-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 0.0.0.0 :: +3 2023-04-21 2023-04-21 2023-04-20 12:34:56 2023-04-20 00:00:00 2023-04-20 00:00:00.123000 2023-04-20 00:00:00.123456 Beijing 32767 127 1 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157e+308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 255.255.255.255 ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff +4 0000-01-01 0000-01-01 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 4 4 1 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 0.0.0.4 ::4 -- !select_load2 -- -1 2023-04-20 2023-04-20 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 1 1 true 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 -2 9999-12-31 9999-12-31 9999-12-31T23:59:59 9999-12-31T23:59:59 2023-04-20T00:00:00.120 2023-04-20T00:00:00.334400 Haidian -32768 -128 true -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4E-45 4.9E-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 -3 2023-04-21 2023-04-21 2023-04-20T12:34:56 2023-04-20T00:00 2023-04-20T00:00:00.123 2023-04-20T00:00:00.123456 Beijing 32767 127 true 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157E308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -4 0000-01-01 0000-01-01 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 4 4 true 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 +1 2023-04-20 2023-04-20 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 1 1 true 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 1 ::1 +2 9999-12-31 9999-12-31 9999-12-31T23:59:59 9999-12-31T23:59:59 2023-04-20T00:00:00.120 2023-04-20T00:00:00.334400 Haidian -32768 -128 true -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4E-45 4.9E-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 0 :: +3 2023-04-21 2023-04-21 2023-04-20T12:34:56 2023-04-20T00:00 2023-04-20T00:00:00.123 2023-04-20T00:00:00.123456 Beijing 32767 127 true 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157E308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -1 ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff +4 0000-01-01 0000-01-01 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 4 4 true 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 4 ::4 -- !select_load3 -- -1 2023-04-20 2023-04-20 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 1 1 true 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 -2 9999-12-31 9999-12-31 9999-12-31T23:59:59 9999-12-31T23:59:59 2023-04-20T00:00:00.120 2023-04-20T00:00:00.334400 Haidian -32768 -128 true -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4E-45 4.9E-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 -3 2023-04-21 2023-04-21 2023-04-20T12:34:56 2023-04-20T00:00 2023-04-20T00:00:00.123 2023-04-20T00:00:00.123456 Beijing 32767 127 true 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157E308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -4 0000-01-01 0000-01-01 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 4 4 true 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 +1 2023-04-20 2023-04-20 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 1 1 true 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 1 ::1 +2 9999-12-31 9999-12-31 9999-12-31T23:59:59 9999-12-31T23:59:59 2023-04-20T00:00:00.120 2023-04-20T00:00:00.334400 Haidian -32768 -128 true -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4E-45 4.9E-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 0 :: +3 2023-04-21 2023-04-21 2023-04-20T12:34:56 2023-04-20T00:00 2023-04-20T00:00:00.123 2023-04-20T00:00:00.123456 Beijing 32767 127 true 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157E308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -1 ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff +4 0000-01-01 0000-01-01 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 2023-04-20T00:00 Beijing Haidian 4 4 true 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 4 ::4 -- !select_load4 -- -1 2023-04-20 2023-04-20 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 1 1 1 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 -2 9999-12-31 9999-12-31 9999-12-31 23:59:59 9999-12-31 23:59:59 2023-04-20 00:00:00.120000 2023-04-20 00:00:00.334400 Haidian -32768 -128 1 -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4013e-45 5e-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 -3 2023-04-21 2023-04-21 2023-04-20 12:34:56 2023-04-20 00:00:00 2023-04-20 00:00:00.123000 2023-04-20 00:00:00.123456 Beijing 32767 127 1 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157e+308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -4 0000-01-01 0000-01-01 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 4 4 1 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 +1 2023-04-20 2023-04-20 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 1 1 1 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 0.0.0.1 ::1 +2 9999-12-31 9999-12-31 9999-12-31 23:59:59 9999-12-31 23:59:59 2023-04-20 00:00:00.120000 2023-04-20 00:00:00.334400 Haidian -32768 -128 1 -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4013e-45 5e-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 0.0.0.0 :: +3 2023-04-21 2023-04-21 2023-04-20 12:34:56 2023-04-20 00:00:00 2023-04-20 00:00:00.123000 2023-04-20 00:00:00.123456 Beijing 32767 127 1 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157e+308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 255.255.255.255 ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff +4 0000-01-01 0000-01-01 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 4 4 1 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 0.0.0.4 ::4 -- !select_load5 -- -1 2023-04-20 2023-04-20 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 1 1 1 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 -2 9999-12-31 9999-12-31 9999-12-31 23:59:59 9999-12-31 23:59:59 2023-04-20 00:00:00.120000 2023-04-20 00:00:00.334400 Haidian -32768 -128 1 -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4013e-45 5e-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 -3 2023-04-21 2023-04-21 2023-04-20 12:34:56 2023-04-20 00:00:00 2023-04-20 00:00:00.123000 2023-04-20 00:00:00.123456 Beijing 32767 127 1 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157e+308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 -4 0000-01-01 0000-01-01 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 4 4 1 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 +1 2023-04-20 2023-04-20 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 1 1 1 1 1 1 1.1 1.1 char1 1 1 1 0.1 1.00000000 1.0000000000 1 1.0000000000000000000000000000000000000 0.10000000000000000000000000000000000000 0.0.0.1 ::1 +2 9999-12-31 9999-12-31 9999-12-31 23:59:59 9999-12-31 23:59:59 2023-04-20 00:00:00.120000 2023-04-20 00:00:00.334400 Haidian -32768 -128 1 -2147483648 -9223372036854775808 -170141183460469231731687303715884105728 1.4013e-45 5e-324 char2 100000000 100000000 4 0.1 0.99999999 9999999999.9999999999 99999999999999999999999999999999999999 9.9999999999999999999999999999999999999 0.99999999999999999999999999999999999999 0.0.0.0 :: +3 2023-04-21 2023-04-21 2023-04-20 12:34:56 2023-04-20 00:00:00 2023-04-20 00:00:00.123000 2023-04-20 00:00:00.123456 Beijing 32767 127 1 2147483647 9223372036854775807 170141183460469231731687303715884105727 3.4028235e+38 1.7976931348623157e+308 char3 999999999 999999999 9 0.9 9.99999999 1234567890.0123456789 12345678901234567890123456789012345678 1.2345678901234567890123456789012345678 0.12345678901234567890123456789012345678 255.255.255.255 ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff +4 0000-01-01 0000-01-01 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 2023-04-20 00:00:00 Beijing Haidian 4 4 1 4 4 4 4.4 4.4 char4 4 4 4 0.4 4.00000000 4.0000000000 4 4.0000000000000000000000000000000000000 0.40000000000000000000000000000000000000 0.0.0.4 ::4 diff --git a/regression-test/data/export_p0/test_export_orc.out b/regression-test/data/export_p0/test_export_orc.out index 0729d8bcfd..443d3cd871 100644 --- a/regression-test/data/export_p0/test_export_orc.out +++ b/regression-test/data/export_p0/test_export_orc.out @@ -1,205 +1,205 @@ -- This file is automatically generated. 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73 73.73 73.73 char73 73 0.0.0.73 ::73 +74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74 74.74 74.74 char74 74 0.0.0.74 ::74 +75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 0.0.0.75 ::75 +76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 0.0.0.76 ::76 +77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 0.0.0.77 ::77 +78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 0.0.0.78 ::78 +79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 0.0.0.79 ::79 +80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 0.0.0.80 ::80 +81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 0.0.0.81 ::81 +82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 0.0.0.82 ::82 +83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 0.0.0.83 ::83 +84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 0.0.0.84 ::84 +85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 0.0.0.85 ::85 +86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 0.0.0.86 ::86 +87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 0.0.0.87 ::87 +88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 0.0.0.88 ::88 +89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 0.0.0.89 ::89 +90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 0.0.0.90 ::90 +91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 0.0.0.91 ::91 +92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 0.0.0.92 ::92 +93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 0.0.0.93 ::93 +94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 0.0.0.94 ::94 +95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 0.0.0.95 ::95 +96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 0.0.0.96 ::96 +97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 0.0.0.97 ::97 +98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 0.0.0.98 ::98 +99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 0.0.0.99 ::99 +100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N \N \N -- !select_load1 -- -1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 -10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 -11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11 -12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12 -13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13 -14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14 -15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15 -16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16 -17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17 -18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18 -19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19 -20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 -21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 -22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 -23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 -24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 -25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 -26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26 -27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27 -28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28 -29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29 -30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30 30.3 30.3 char30 30 -31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31 31.31 31.31 char31 31 -32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32 32.32 32.32 char32 32 -33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33 33.33 33.33 char33 33 -34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34 34.34 34.34 char34 34 -35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35 35.35 35.35 char35 35 -36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36 36.36 36.36 char36 36 -37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37 37.37 37.37 char37 37 -38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38 38.38 38.38 char38 38 -39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39 39.39 39.39 char39 39 -40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40 40.4 40.4 char40 40 -41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41 41.41 41.41 char41 41 -42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42 42.42 42.42 char42 42 -43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43 43.43 43.43 char43 43 -44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44 44.44 44.44 char44 44 -45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45 45.45 45.45 char45 45 -46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46 46.46 46.46 char46 46 -47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47 47.47 47.47 char47 47 -48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48 48.48 48.48 char48 48 -49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49 49.49 49.49 char49 49 -50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50 50.5 50.5 char50 50 -51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51 51.51 51.51 char51 51 -52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52 52.52 52.52 char52 52 -53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53 53.53 53.53 char53 53 -54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54 54.54 54.54 char54 54 -55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55 55.55 55.55 char55 55 -56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56 -57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57 -58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58 -59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59 -60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60 -61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61 -62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62 -63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63 -64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64 -65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65 65.65 65.65 char65 65 -66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66 66.66 66.66 char66 66 -67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67 67.67 67.67 char67 67 -68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68 68.68 68.68 char68 68 -69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69 69.69 69.69 char69 69 -70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70 70.7 70.7 char70 70 -71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71 71.71 71.71 char71 71 -72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72 72.72 72.72 char72 72 -73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73 73.73 73.73 char73 73 -74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74 74.74 74.74 char74 74 -75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 -76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 -77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 -78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 -79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 -80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 -81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 -82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 -83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 -84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 -85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 -86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 -87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 -88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 -89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 -90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 -91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 -92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 -93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 -94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 -95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 -96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 -97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 -98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 -99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 -100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 1 ::1 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 2 ::2 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 3 ::3 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 4 ::4 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 5 ::5 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 6 ::6 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 7 ::7 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 8 ::8 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 9 ::9 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 10 ::10 +11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11 11 ::11 +12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12 12 ::12 +13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13 13 ::13 +14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14 14 ::14 +15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15 15 ::15 +16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16 16 ::16 +17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17 17 ::17 +18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18 18 ::18 +19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19 19 ::19 +20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 20 ::20 +21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 21 ::21 +22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 22 ::22 +23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 23 ::23 +24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 24 ::24 +25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 25 ::25 +26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26 26 ::26 +27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27 27 ::27 +28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28 28 ::28 +29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29 29 ::29 +30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30 30.3 30.3 char30 30 30 ::30 +31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31 31.31 31.31 char31 31 31 ::31 +32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32 32.32 32.32 char32 32 32 ::32 +33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33 33.33 33.33 char33 33 33 ::33 +34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34 34.34 34.34 char34 34 34 ::34 +35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35 35.35 35.35 char35 35 35 ::35 +36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36 36.36 36.36 char36 36 36 ::36 +37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37 37.37 37.37 char37 37 37 ::37 +38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38 38.38 38.38 char38 38 38 ::38 +39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39 39.39 39.39 char39 39 39 ::39 +40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40 40.4 40.4 char40 40 40 ::40 +41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41 41.41 41.41 char41 41 41 ::41 +42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42 42.42 42.42 char42 42 42 ::42 +43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43 43.43 43.43 char43 43 43 ::43 +44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44 44.44 44.44 char44 44 44 ::44 +45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45 45.45 45.45 char45 45 45 ::45 +46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46 46.46 46.46 char46 46 46 ::46 +47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47 47.47 47.47 char47 47 47 ::47 +48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48 48.48 48.48 char48 48 48 ::48 +49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49 49.49 49.49 char49 49 49 ::49 +50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50 50.5 50.5 char50 50 50 ::50 +51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51 51.51 51.51 char51 51 51 ::51 +52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52 52.52 52.52 char52 52 52 ::52 +53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53 53.53 53.53 char53 53 53 ::53 +54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54 54.54 54.54 char54 54 54 ::54 +55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55 55.55 55.55 char55 55 55 ::55 +56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56 56 ::56 +57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57 57 ::57 +58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58 58 ::58 +59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59 59 ::59 +60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60 60 ::60 +61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61 61 ::61 +62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62 62 ::62 +63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63 63 ::63 +64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64 64 ::64 +65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65 65.65 65.65 char65 65 65 ::65 +66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66 66.66 66.66 char66 66 66 ::66 +67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67 67.67 67.67 char67 67 67 ::67 +68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68 68.68 68.68 char68 68 68 ::68 +69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69 69.69 69.69 char69 69 69 ::69 +70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70 70.7 70.7 char70 70 70 ::70 +71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71 71.71 71.71 char71 71 71 ::71 +72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72 72.72 72.72 char72 72 72 ::72 +73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73 73.73 73.73 char73 73 73 ::73 +74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74 74.74 74.74 char74 74 74 ::74 +75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 75 ::75 +76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 76 ::76 +77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 77 ::77 +78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 78 ::78 +79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 79 ::79 +80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 80 ::80 +81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 81 ::81 +82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 82 ::82 +83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 83 ::83 +84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 84 ::84 +85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 85 ::85 +86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 86 ::86 +87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 87 ::87 +88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 88 ::88 +89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 89 ::89 +90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 90 ::90 +91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 91 ::91 +92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 92 ::92 +93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 93 ::93 +94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 94 ::94 +95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 95 ::95 +96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 96 ::96 +97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 97 ::97 +98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 98 ::98 +99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 99 ::99 +100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N \N \N diff --git a/regression-test/data/export_p0/test_export_parquet.out b/regression-test/data/export_p0/test_export_parquet.out index 764e4cd8b0..c3358efa4a 100644 --- a/regression-test/data/export_p0/test_export_parquet.out +++ b/regression-test/data/export_p0/test_export_parquet.out @@ -1,205 +1,205 @@ -- This file is automatically generated. 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19 19 19 19.19 19.19 char19 19 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 -21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 -22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 -23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 -24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 -25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 -26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 char26 26 -27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27 27.27 27.27 char27 27 -28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28 28.28 28.28 char28 28 -29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29 29.29 29.29 char29 29 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -30 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2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 -99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10 10.1 10.1 char10 10 0.0.0.10 ::10 +100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N \N \N +11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11 11.11 11.11 char11 11 0.0.0.11 ::11 +12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12 12.12 12.12 char12 12 0.0.0.12 ::12 +13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13 13.13 13.13 char13 13 0.0.0.13 ::13 +14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14 14.14 14.14 char14 14 0.0.0.14 ::14 +15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15 15.15 15.15 char15 15 0.0.0.15 ::15 +16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16 16.16 16.16 char16 16 0.0.0.16 ::16 +17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17 17.17 17.17 char17 17 0.0.0.17 ::17 +18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18 18.18 18.18 char18 18 0.0.0.18 ::18 +19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19 19.19 19.19 char19 19 0.0.0.19 ::19 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20 20.2 20.2 char20 20 0.0.0.20 ::20 +21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21 21.21 21.21 char21 21 0.0.0.21 ::21 +22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22 22.22 22.22 char22 22 0.0.0.22 ::22 +23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23 23.23 23.23 char23 23 0.0.0.23 ::23 +24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24 24.24 24.24 char24 24 0.0.0.24 ::24 +25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25 25.25 25.25 char25 25 0.0.0.25 ::25 +26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26 26.26 26.26 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55 true 55 55 55 55.55 55.55 char55 55 0.0.0.55 ::55 +56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56 56.56 56.56 char56 56 0.0.0.56 ::56 +57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57 57.57 57.57 char57 57 0.0.0.57 ::57 +58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58 58.58 58.58 char58 58 0.0.0.58 ::58 +59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59 59.59 59.59 char59 59 0.0.0.59 ::59 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60 60.6 60.6 char60 60 0.0.0.60 ::60 +61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61 61.61 61.61 char61 61 0.0.0.61 ::61 +62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62 62.62 62.62 char62 62 0.0.0.62 ::62 +63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63 63.63 63.63 char63 63 0.0.0.63 ::63 +64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64 64.64 64.64 char64 64 0.0.0.64 ::64 +65 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74.74 74.74 char74 74 0.0.0.74 ::74 +75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75 75.75 75.75 char75 75 0.0.0.75 ::75 +76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76 76.76 76.76 char76 76 0.0.0.76 ::76 +77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77 77.77 77.77 char77 77 0.0.0.77 ::77 +78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78 78.78 78.78 char78 78 0.0.0.78 ::78 +79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79 79.79 79.79 char79 79 0.0.0.79 ::79 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80 80.8 80.8 char80 80 0.0.0.80 ::80 +81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81 81.81 81.81 char81 81 0.0.0.81 ::81 +82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82 82.82 82.82 char82 82 0.0.0.82 ::82 +83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83 83.83 83.83 char83 83 0.0.0.83 ::83 +84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84 84.84 84.84 char84 84 0.0.0.84 ::84 +85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85 85.85 85.85 char85 85 0.0.0.85 ::85 +86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86 86.86 86.86 char86 86 0.0.0.86 ::86 +87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87 87.87 87.87 char87 87 0.0.0.87 ::87 +88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88 88.88 88.88 char88 88 0.0.0.88 ::88 +89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89 89.89 89.89 char89 89 0.0.0.89 ::89 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 +90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90 90.9 90.9 char90 90 0.0.0.90 ::90 +91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91 91.91 91.91 char91 91 0.0.0.91 ::91 +92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92 92.92 92.92 char92 92 0.0.0.92 ::92 +93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93 93.93 93.93 char93 93 0.0.0.93 ::93 +94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94 94.94 94.94 char94 94 0.0.0.94 ::94 +95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95 95.95 95.95 char95 95 0.0.0.95 ::95 +96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96 96.96 96.96 char96 96 0.0.0.96 ::96 +97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97 97.97 97.97 char97 97 0.0.0.97 ::97 +98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98 98.98 98.98 char98 98 0.0.0.98 ::98 +99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99 99.99 99.99 char99 99 0.0.0.99 ::99 -- !select_load1 -- -1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1.1 1.1 char1 1 1 -10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10.1 10.1 char10 10 10 -100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N -11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11.11 11.11 char11 11 11 -12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12.12 12.12 char12 12 12 -13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13.13 13.13 char13 13 13 -14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14.14 14.14 char14 14 14 -15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15.15 15.15 char15 15 15 -16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16.16 16.16 char16 16 16 -17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17.17 17.17 char17 17 17 -18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18.18 18.18 char18 18 18 -19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19.19 19.19 char19 19 19 -2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2.2 2.2 char2 2 2 -20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20.2 20.2 char20 20 20 -21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21.21 21.21 char21 21 21 -22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22.22 22.22 char22 22 22 -23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23.23 23.23 char23 23 23 -24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24.24 24.24 char24 24 24 -25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25.25 25.25 char25 25 25 -26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26.26 26.26 char26 26 26 -27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27.27 27.27 char27 27 27 -28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28.28 28.28 char28 28 28 -29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29.29 29.29 char29 29 29 -3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3.3 3.3 char3 3 3 -30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30.3 30.3 char30 30 30 -31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31.31 31.31 char31 31 31 -32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32.32 32.32 char32 32 32 -33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33.33 33.33 char33 33 33 -34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34.34 34.34 char34 34 34 -35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35.35 35.35 char35 35 35 -36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36.36 36.36 char36 36 36 -37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37.37 37.37 char37 37 37 -38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38.38 38.38 char38 38 38 -39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39.39 39.39 char39 39 39 -4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4.4 4.4 char4 4 4 -40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40.4 40.4 char40 40 40 -41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41.41 41.41 char41 41 41 -42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42.42 42.42 char42 42 42 -43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43.43 43.43 char43 43 43 -44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44.44 44.44 char44 44 44 -45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45.45 45.45 char45 45 45 -46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46.46 46.46 char46 46 46 -47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47.47 47.47 char47 47 47 -48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48.48 48.48 char48 48 48 -49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49.49 49.49 char49 49 49 -5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5.5 5.5 char5 5 5 -50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50.5 50.5 char50 50 50 -51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51.51 51.51 char51 51 51 -52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52.52 52.52 char52 52 52 -53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53.53 53.53 char53 53 53 -54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54.54 54.54 char54 54 54 -55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55.55 55.55 char55 55 55 -56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56.56 56.56 char56 56 56 -57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57.57 57.57 char57 57 57 -58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58.58 58.58 char58 58 58 -59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59.59 59.59 char59 59 59 -6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6.6 6.6 char6 6 6 -60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60.6 60.6 char60 60 60 -61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61.61 61.61 char61 61 61 -62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62.62 62.62 char62 62 62 -63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63.63 63.63 char63 63 63 -64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64.64 64.64 char64 64 64 -65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65.65 65.65 char65 65 65 -66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66.66 66.66 char66 66 66 -67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67.67 67.67 char67 67 67 -68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68.68 68.68 char68 68 68 -69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69.69 69.69 char69 69 69 -7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7.7 7.7 char7 7 7 -70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70.7 70.7 char70 70 70 -71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71.71 71.71 char71 71 71 -72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72.72 72.72 char72 72 72 -73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73.73 73.73 char73 73 73 -74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74.74 74.74 char74 74 74 -75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75.75 75.75 char75 75 75 -76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76.76 76.76 char76 76 76 -77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77.77 77.77 char77 77 77 -78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78.78 78.78 char78 78 78 -79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79.79 79.79 char79 79 79 -8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8.8 8.8 char8 8 8 -80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80.8 80.8 char80 80 80 -81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81.81 81.81 char81 81 81 -82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82.82 82.82 char82 82 82 -83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83.83 83.83 char83 83 83 -84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84.84 84.84 char84 84 84 -85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85.85 85.85 char85 85 85 -86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86.86 86.86 char86 86 86 -87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87.87 87.87 char87 87 87 -88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88.88 88.88 char88 88 88 -89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89.89 89.89 char89 89 89 -9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9.9 9.9 char9 9 9 -90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90.9 90.9 char90 90 90 -91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91.91 91.91 char91 91 91 -92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92.92 92.92 char92 92 92 -93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93.93 93.93 char93 93 93 -94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94.94 94.94 char94 94 94 -95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95.95 95.95 char95 95 95 -96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96.96 96.96 char96 96 96 -97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97.97 97.97 char97 97 97 -98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98.98 98.98 char98 98 98 -99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99.99 99.99 char99 99 99 +1 2017-10-01 2017-10-01T00:00 Beijing 1 1 true 1 1 1.1 1.1 char1 1 1 1 ::1 +10 2017-10-01 2017-10-01T00:00 Beijing 10 10 true 10 10 10.1 10.1 char10 10 10 10 ::10 +100 2017-10-01 2017-10-01T00:00 \N \N \N \N \N \N \N \N \N \N \N \N \N +11 2017-10-01 2017-10-01T00:00 Beijing 11 11 true 11 11 11.11 11.11 char11 11 11 11 ::11 +12 2017-10-01 2017-10-01T00:00 Beijing 12 12 true 12 12 12.12 12.12 char12 12 12 12 ::12 +13 2017-10-01 2017-10-01T00:00 Beijing 13 13 true 13 13 13.13 13.13 char13 13 13 13 ::13 +14 2017-10-01 2017-10-01T00:00 Beijing 14 14 true 14 14 14.14 14.14 char14 14 14 14 ::14 +15 2017-10-01 2017-10-01T00:00 Beijing 15 15 true 15 15 15.15 15.15 char15 15 15 15 ::15 +16 2017-10-01 2017-10-01T00:00 Beijing 16 16 true 16 16 16.16 16.16 char16 16 16 16 ::16 +17 2017-10-01 2017-10-01T00:00 Beijing 17 17 true 17 17 17.17 17.17 char17 17 17 17 ::17 +18 2017-10-01 2017-10-01T00:00 Beijing 18 18 true 18 18 18.18 18.18 char18 18 18 18 ::18 +19 2017-10-01 2017-10-01T00:00 Beijing 19 19 true 19 19 19.19 19.19 char19 19 19 19 ::19 +2 2017-10-01 2017-10-01T00:00 Beijing 2 2 true 2 2 2.2 2.2 char2 2 2 2 ::2 +20 2017-10-01 2017-10-01T00:00 Beijing 20 20 true 20 20 20.2 20.2 char20 20 20 20 ::20 +21 2017-10-01 2017-10-01T00:00 Beijing 21 21 true 21 21 21.21 21.21 char21 21 21 21 ::21 +22 2017-10-01 2017-10-01T00:00 Beijing 22 22 true 22 22 22.22 22.22 char22 22 22 22 ::22 +23 2017-10-01 2017-10-01T00:00 Beijing 23 23 true 23 23 23.23 23.23 char23 23 23 23 ::23 +24 2017-10-01 2017-10-01T00:00 Beijing 24 24 true 24 24 24.24 24.24 char24 24 24 24 ::24 +25 2017-10-01 2017-10-01T00:00 Beijing 25 25 true 25 25 25.25 25.25 char25 25 25 25 ::25 +26 2017-10-01 2017-10-01T00:00 Beijing 26 26 true 26 26 26.26 26.26 char26 26 26 26 ::26 +27 2017-10-01 2017-10-01T00:00 Beijing 27 27 true 27 27 27.27 27.27 char27 27 27 27 ::27 +28 2017-10-01 2017-10-01T00:00 Beijing 28 28 true 28 28 28.28 28.28 char28 28 28 28 ::28 +29 2017-10-01 2017-10-01T00:00 Beijing 29 29 true 29 29 29.29 29.29 char29 29 29 29 ::29 +3 2017-10-01 2017-10-01T00:00 Beijing 3 3 true 3 3 3.3 3.3 char3 3 3 3 ::3 +30 2017-10-01 2017-10-01T00:00 Beijing 30 30 true 30 30 30.3 30.3 char30 30 30 30 ::30 +31 2017-10-01 2017-10-01T00:00 Beijing 31 31 true 31 31 31.31 31.31 char31 31 31 31 ::31 +32 2017-10-01 2017-10-01T00:00 Beijing 32 32 true 32 32 32.32 32.32 char32 32 32 32 ::32 +33 2017-10-01 2017-10-01T00:00 Beijing 33 33 true 33 33 33.33 33.33 char33 33 33 33 ::33 +34 2017-10-01 2017-10-01T00:00 Beijing 34 34 true 34 34 34.34 34.34 char34 34 34 34 ::34 +35 2017-10-01 2017-10-01T00:00 Beijing 35 35 true 35 35 35.35 35.35 char35 35 35 35 ::35 +36 2017-10-01 2017-10-01T00:00 Beijing 36 36 true 36 36 36.36 36.36 char36 36 36 36 ::36 +37 2017-10-01 2017-10-01T00:00 Beijing 37 37 true 37 37 37.37 37.37 char37 37 37 37 ::37 +38 2017-10-01 2017-10-01T00:00 Beijing 38 38 true 38 38 38.38 38.38 char38 38 38 38 ::38 +39 2017-10-01 2017-10-01T00:00 Beijing 39 39 true 39 39 39.39 39.39 char39 39 39 39 ::39 +4 2017-10-01 2017-10-01T00:00 Beijing 4 4 true 4 4 4.4 4.4 char4 4 4 4 ::4 +40 2017-10-01 2017-10-01T00:00 Beijing 40 40 true 40 40 40.4 40.4 char40 40 40 40 ::40 +41 2017-10-01 2017-10-01T00:00 Beijing 41 41 true 41 41 41.41 41.41 char41 41 41 41 ::41 +42 2017-10-01 2017-10-01T00:00 Beijing 42 42 true 42 42 42.42 42.42 char42 42 42 42 ::42 +43 2017-10-01 2017-10-01T00:00 Beijing 43 43 true 43 43 43.43 43.43 char43 43 43 43 ::43 +44 2017-10-01 2017-10-01T00:00 Beijing 44 44 true 44 44 44.44 44.44 char44 44 44 44 ::44 +45 2017-10-01 2017-10-01T00:00 Beijing 45 45 true 45 45 45.45 45.45 char45 45 45 45 ::45 +46 2017-10-01 2017-10-01T00:00 Beijing 46 46 true 46 46 46.46 46.46 char46 46 46 46 ::46 +47 2017-10-01 2017-10-01T00:00 Beijing 47 47 true 47 47 47.47 47.47 char47 47 47 47 ::47 +48 2017-10-01 2017-10-01T00:00 Beijing 48 48 true 48 48 48.48 48.48 char48 48 48 48 ::48 +49 2017-10-01 2017-10-01T00:00 Beijing 49 49 true 49 49 49.49 49.49 char49 49 49 49 ::49 +5 2017-10-01 2017-10-01T00:00 Beijing 5 5 true 5 5 5.5 5.5 char5 5 5 5 ::5 +50 2017-10-01 2017-10-01T00:00 Beijing 50 50 true 50 50 50.5 50.5 char50 50 50 50 ::50 +51 2017-10-01 2017-10-01T00:00 Beijing 51 51 true 51 51 51.51 51.51 char51 51 51 51 ::51 +52 2017-10-01 2017-10-01T00:00 Beijing 52 52 true 52 52 52.52 52.52 char52 52 52 52 ::52 +53 2017-10-01 2017-10-01T00:00 Beijing 53 53 true 53 53 53.53 53.53 char53 53 53 53 ::53 +54 2017-10-01 2017-10-01T00:00 Beijing 54 54 true 54 54 54.54 54.54 char54 54 54 54 ::54 +55 2017-10-01 2017-10-01T00:00 Beijing 55 55 true 55 55 55.55 55.55 char55 55 55 55 ::55 +56 2017-10-01 2017-10-01T00:00 Beijing 56 56 true 56 56 56.56 56.56 char56 56 56 56 ::56 +57 2017-10-01 2017-10-01T00:00 Beijing 57 57 true 57 57 57.57 57.57 char57 57 57 57 ::57 +58 2017-10-01 2017-10-01T00:00 Beijing 58 58 true 58 58 58.58 58.58 char58 58 58 58 ::58 +59 2017-10-01 2017-10-01T00:00 Beijing 59 59 true 59 59 59.59 59.59 char59 59 59 59 ::59 +6 2017-10-01 2017-10-01T00:00 Beijing 6 6 true 6 6 6.6 6.6 char6 6 6 6 ::6 +60 2017-10-01 2017-10-01T00:00 Beijing 60 60 true 60 60 60.6 60.6 char60 60 60 60 ::60 +61 2017-10-01 2017-10-01T00:00 Beijing 61 61 true 61 61 61.61 61.61 char61 61 61 61 ::61 +62 2017-10-01 2017-10-01T00:00 Beijing 62 62 true 62 62 62.62 62.62 char62 62 62 62 ::62 +63 2017-10-01 2017-10-01T00:00 Beijing 63 63 true 63 63 63.63 63.63 char63 63 63 63 ::63 +64 2017-10-01 2017-10-01T00:00 Beijing 64 64 true 64 64 64.64 64.64 char64 64 64 64 ::64 +65 2017-10-01 2017-10-01T00:00 Beijing 65 65 true 65 65 65.65 65.65 char65 65 65 65 ::65 +66 2017-10-01 2017-10-01T00:00 Beijing 66 66 true 66 66 66.66 66.66 char66 66 66 66 ::66 +67 2017-10-01 2017-10-01T00:00 Beijing 67 67 true 67 67 67.67 67.67 char67 67 67 67 ::67 +68 2017-10-01 2017-10-01T00:00 Beijing 68 68 true 68 68 68.68 68.68 char68 68 68 68 ::68 +69 2017-10-01 2017-10-01T00:00 Beijing 69 69 true 69 69 69.69 69.69 char69 69 69 69 ::69 +7 2017-10-01 2017-10-01T00:00 Beijing 7 7 true 7 7 7.7 7.7 char7 7 7 7 ::7 +70 2017-10-01 2017-10-01T00:00 Beijing 70 70 true 70 70 70.7 70.7 char70 70 70 70 ::70 +71 2017-10-01 2017-10-01T00:00 Beijing 71 71 true 71 71 71.71 71.71 char71 71 71 71 ::71 +72 2017-10-01 2017-10-01T00:00 Beijing 72 72 true 72 72 72.72 72.72 char72 72 72 72 ::72 +73 2017-10-01 2017-10-01T00:00 Beijing 73 73 true 73 73 73.73 73.73 char73 73 73 73 ::73 +74 2017-10-01 2017-10-01T00:00 Beijing 74 74 true 74 74 74.74 74.74 char74 74 74 74 ::74 +75 2017-10-01 2017-10-01T00:00 Beijing 75 75 true 75 75 75.75 75.75 char75 75 75 75 ::75 +76 2017-10-01 2017-10-01T00:00 Beijing 76 76 true 76 76 76.76 76.76 char76 76 76 76 ::76 +77 2017-10-01 2017-10-01T00:00 Beijing 77 77 true 77 77 77.77 77.77 char77 77 77 77 ::77 +78 2017-10-01 2017-10-01T00:00 Beijing 78 78 true 78 78 78.78 78.78 char78 78 78 78 ::78 +79 2017-10-01 2017-10-01T00:00 Beijing 79 79 true 79 79 79.79 79.79 char79 79 79 79 ::79 +8 2017-10-01 2017-10-01T00:00 Beijing 8 8 true 8 8 8.8 8.8 char8 8 8 8 ::8 +80 2017-10-01 2017-10-01T00:00 Beijing 80 80 true 80 80 80.8 80.8 char80 80 80 80 ::80 +81 2017-10-01 2017-10-01T00:00 Beijing 81 81 true 81 81 81.81 81.81 char81 81 81 81 ::81 +82 2017-10-01 2017-10-01T00:00 Beijing 82 82 true 82 82 82.82 82.82 char82 82 82 82 ::82 +83 2017-10-01 2017-10-01T00:00 Beijing 83 83 true 83 83 83.83 83.83 char83 83 83 83 ::83 +84 2017-10-01 2017-10-01T00:00 Beijing 84 84 true 84 84 84.84 84.84 char84 84 84 84 ::84 +85 2017-10-01 2017-10-01T00:00 Beijing 85 85 true 85 85 85.85 85.85 char85 85 85 85 ::85 +86 2017-10-01 2017-10-01T00:00 Beijing 86 86 true 86 86 86.86 86.86 char86 86 86 86 ::86 +87 2017-10-01 2017-10-01T00:00 Beijing 87 87 true 87 87 87.87 87.87 char87 87 87 87 ::87 +88 2017-10-01 2017-10-01T00:00 Beijing 88 88 true 88 88 88.88 88.88 char88 88 88 88 ::88 +89 2017-10-01 2017-10-01T00:00 Beijing 89 89 true 89 89 89.89 89.89 char89 89 89 89 ::89 +9 2017-10-01 2017-10-01T00:00 Beijing 9 9 true 9 9 9.9 9.9 char9 9 9 9 ::9 +90 2017-10-01 2017-10-01T00:00 Beijing 90 90 true 90 90 90.9 90.9 char90 90 90 90 ::90 +91 2017-10-01 2017-10-01T00:00 Beijing 91 91 true 91 91 91.91 91.91 char91 91 91 91 ::91 +92 2017-10-01 2017-10-01T00:00 Beijing 92 92 true 92 92 92.92 92.92 char92 92 92 92 ::92 +93 2017-10-01 2017-10-01T00:00 Beijing 93 93 true 93 93 93.93 93.93 char93 93 93 93 ::93 +94 2017-10-01 2017-10-01T00:00 Beijing 94 94 true 94 94 94.94 94.94 char94 94 94 94 ::94 +95 2017-10-01 2017-10-01T00:00 Beijing 95 95 true 95 95 95.95 95.95 char95 95 95 95 ::95 +96 2017-10-01 2017-10-01T00:00 Beijing 96 96 true 96 96 96.96 96.96 char96 96 96 96 ::96 +97 2017-10-01 2017-10-01T00:00 Beijing 97 97 true 97 97 97.97 97.97 char97 97 97 97 ::97 +98 2017-10-01 2017-10-01T00:00 Beijing 98 98 true 98 98 98.98 98.98 char98 98 98 98 ::98 +99 2017-10-01 2017-10-01T00:00 Beijing 99 99 true 99 99 99.99 99.99 char99 99 99 99 ::99 diff --git a/regression-test/data/export_p0/test_outfile_csv_with_names.out b/regression-test/data/export_p0/test_outfile_csv_with_names.out index 5a6badd50e..8165f60f5b 100644 --- a/regression-test/data/export_p0/test_outfile_csv_with_names.out +++ b/regression-test/data/export_p0/test_outfile_csv_with_names.out @@ -1,25 +1,25 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !select_default1 -- -1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 {"a":1,"b":"str1"} -10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N \N -2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 {"a":2,"b":"str2"} -3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 {"a":3,"b":"str3"} -4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 {"a":4,"b":"str4"} -5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 {"a":5,"b":"str5"} -6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 {"a":6,"b":"str6"} -7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 {"a":7,"b":"str7"} -8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 {"a":8,"b":"str8"} -9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 {"a":9,"b":"str9"} +1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 {"a":1,"b":"str1"} 0.0.0.1 ::1 +10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N \N \N \N +2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 {"a":2,"b":"str2"} 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 {"a":3,"b":"str3"} 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 {"a":4,"b":"str4"} 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 {"a":5,"b":"str5"} 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 {"a":6,"b":"str6"} 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 {"a":7,"b":"str7"} 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 {"a":8,"b":"str8"} 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 {"a":9,"b":"str9"} 0.0.0.9 ::9 -- !select_default2 -- -1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 {"a":1,"b":"str1"} -10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N \N -2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 {"a":2,"b":"str2"} -3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 {"a":3,"b":"str3"} -4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 {"a":4,"b":"str4"} -5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 {"a":5,"b":"str5"} -6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 {"a":6,"b":"str6"} -7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 {"a":7,"b":"str7"} -8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 {"a":8,"b":"str8"} -9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 {"a":9,"b":"str9"} +1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 {"a":1,"b":"str1"} 0.0.0.1 ::1 +10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N \N \N \N +2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 {"a":2,"b":"str2"} 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 {"a":3,"b":"str3"} 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 {"a":4,"b":"str4"} 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 {"a":5,"b":"str5"} 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 {"a":6,"b":"str6"} 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 {"a":7,"b":"str7"} 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 {"a":8,"b":"str8"} 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 {"a":9,"b":"str9"} 0.0.0.9 ::9 diff --git a/regression-test/data/export_p0/test_outfile_csv_with_names_and_types.out b/regression-test/data/export_p0/test_outfile_csv_with_names_and_types.out index 63fa1d523c..1e82b9f1e8 100644 --- a/regression-test/data/export_p0/test_outfile_csv_with_names_and_types.out +++ b/regression-test/data/export_p0/test_outfile_csv_with_names_and_types.out @@ -1,25 +1,25 @@ -- This file is automatically generated. You should know what you did if you want to edit this -- !select_default1 -- -1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N -2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 +1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N \N \N +2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 -- !select_default2 -- -1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 -10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N -2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 -3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 -4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 -5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 -6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 -7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 -8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 -9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 +1 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 1 1 true 1 1 1 1.1 1.1 char1 1 0.0.0.1 ::1 +10 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 \N \N \N \N \N \N \N \N \N \N \N \N \N +2 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 2 2 true 2 2 2 2.2 2.2 char2 2 0.0.0.2 ::2 +3 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 3 3 true 3 3 3 3.3 3.3 char3 3 0.0.0.3 ::3 +4 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 4 4 true 4 4 4 4.4 4.4 char4 4 0.0.0.4 ::4 +5 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 5 5 true 5 5 5 5.5 5.5 char5 5 0.0.0.5 ::5 +6 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 6 6 true 6 6 6 6.6 6.6 char6 6 0.0.0.6 ::6 +7 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 7 7 true 7 7 7 7.7 7.7 char7 7 0.0.0.7 ::7 +8 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 8 8 true 8 8 8 8.8 8.8 char8 8 0.0.0.8 ::8 +9 2017-10-01 2017-10-01T00:00 2017-10-01 2017-10-01T00:00 2017-10-01T00:00:00.111 2017-10-01T00:00:00.111111 Beijing 9 9 true 9 9 9 9.9 9.9 char9 9 0.0.0.9 ::9 diff --git a/regression-test/suites/export_p0/test_export_csv.groovy b/regression-test/suites/export_p0/test_export_csv.groovy index 6b49dd59ce..93e894a4f6 100644 --- a/regression-test/suites/export_p0/test_export_csv.groovy +++ b/regression-test/suites/export_p0/test_export_csv.groovy @@ -75,7 +75,9 @@ suite("test_export_csv", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -83,11 +85,11 @@ suite("test_export_csv", "p0") { int i = 1 for (; i < 100; i ++) { sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}), + (${i}, '2017-10-01', '2017-10-01 00:00:00', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}, '0.0.0.${i}', '::${i}'), """) } sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) + (${i}, '2017-10-01', '2017-10-01 00:00:00', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) """) sql """ INSERT INTO ${table_export_name} VALUES ${sb.toString()} @@ -175,7 +177,9 @@ suite("test_export_csv", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -186,7 +190,7 @@ suite("test_export_csv", "p0") { table "${table_load_name}" set 'column_separator', ',' - set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col' + set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col, ipv4_col, ipv6_col' set 'strict_mode', 'true' file "${file_path}" @@ -222,7 +226,7 @@ suite("test_export_csv", "p0") { // exec export sql """ - EXPORT TABLE ${table_export_name} where user_id <11 TO "file://${outFilePath}/" + EXPORT TABLE ${table_export_name} where user_id < 11 TO "file://${outFilePath}/" PROPERTIES( "label" = "${label}", "format" = "csv", @@ -252,7 +256,9 @@ suite("test_export_csv", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -264,7 +270,7 @@ suite("test_export_csv", "p0") { set 'column_separator', 'ab' set 'line_delimiter', 'cc' - set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col' + set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col, ipv4_col, ipv6_col' set 'strict_mode', 'true' file "${file_path}" @@ -299,7 +305,7 @@ suite("test_export_csv", "p0") { // exec export sql """ - EXPORT TABLE ${table_export_name} where user_id <11 TO "file://${outFilePath}/" + EXPORT TABLE ${table_export_name} where user_id < 11 TO "file://${outFilePath}/" PROPERTIES( "label" = "${label}", "format" = "csv_with_names", @@ -329,7 +335,9 @@ suite("test_export_csv", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -341,7 +349,7 @@ suite("test_export_csv", "p0") { set 'column_separator', 'ab' set 'line_delimiter', 'cc' - set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col' + set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col, ipv4_col, ipv6_col' set 'strict_mode', 'true' set 'format', 'csv_with_names' @@ -377,7 +385,7 @@ suite("test_export_csv", "p0") { // exec export sql """ - EXPORT TABLE ${table_export_name} where user_id <11 TO "file://${outFilePath}/" + EXPORT TABLE ${table_export_name} where user_id < 11 TO "file://${outFilePath}/" PROPERTIES( "label" = "${label}", "format" = "csv_with_names_and_types", @@ -407,7 +415,9 @@ suite("test_export_csv", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -419,7 +429,7 @@ suite("test_export_csv", "p0") { set 'column_separator', 'ab' set 'line_delimiter', 'cc' - set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col' + set 'columns', 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, largeint_col, float_col, double_col, char_col, decimal_col, ipv4_col, ipv6_col' set 'strict_mode', 'true' set 'format', 'csv_with_names_and_types' diff --git a/regression-test/suites/export_p0/test_export_data_types.groovy b/regression-test/suites/export_p0/test_export_data_types.groovy index 82519c161d..c45a4391b6 100644 --- a/regression-test/suites/export_p0/test_export_data_types.groovy +++ b/regression-test/suites/export_p0/test_export_data_types.groovy @@ -67,7 +67,9 @@ suite("test_export_data_types", "p0") { `decimalv3_col5` decimalv3(20,10) COMMENT "", `decimalv3_col6` decimalv3(38,0) COMMENT "", `decimalv3_col7` decimalv3(38,37) COMMENT "", - `decimalv3_col8` decimalv3(38,38) COMMENT "" + `decimalv3_col8` decimalv3(38,38) COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -81,28 +83,28 @@ suite("test_export_data_types", "p0") { (${i}, '2023-04-20', '2023-04-20', '2023-04-20 00:00:00', '2023-04-20 00:00:00', '2023-04-20 00:00:00', '2023-04-20 00:00:00', 'Beijing', 'Haidian', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', - ${i}, ${i}, ${i}, 0.${i}, ${i}, ${i}, ${i}, ${i}, 0.${i}), + ${i}, ${i}, ${i}, 0.${i}, ${i}, ${i}, ${i}, ${i}, 0.${i}, '0.0.0.${i}', '::${i}'), """) sb.append(""" - (${++i}, '9999-12-31', '9999-12-31', '9999-12-31 23:59:59', '9999-12-31 23:59:59', '2023-04-20 00:00:00.12', '2023-04-20 00:00:00.3344', - '', 'Haidian', - ${Short.MIN_VALUE}, ${Byte.MIN_VALUE}, true, ${Integer.MIN_VALUE}, ${Long.MIN_VALUE}, -170141183460469231731687303715884105728, ${Float.MIN_VALUE}, ${Double.MIN_VALUE}, 'char${i}', - 100000000, 100000000, 4, 0.1, 0.99999999, 9999999999.9999999999, 99999999999999999999999999999999999999, 9.9999999999999999999999999999999999999, 0.99999999999999999999999999999999999999), - """) + (${++i}, '9999-12-31', '9999-12-31', '9999-12-31 23:59:59', '9999-12-31 23:59:59', '2023-04-20 00:00:00.12', '2023-04-20 00:00:00.3344', + '', 'Haidian', + ${Short.MIN_VALUE}, ${Byte.MIN_VALUE}, true, ${Integer.MIN_VALUE}, ${Long.MIN_VALUE}, -170141183460469231731687303715884105728, ${Float.MIN_VALUE}, ${Double.MIN_VALUE}, 'char${i}', + 100000000, 100000000, 4, 0.1, 0.99999999, 9999999999.9999999999, 99999999999999999999999999999999999999, 9.9999999999999999999999999999999999999, 0.99999999999999999999999999999999999999, '0.0.0.0', '::'), + """) sb.append(""" (${++i}, '2023-04-21', '2023-04-21', '2023-04-20 12:34:56', '2023-04-20 00:00:00', '2023-04-20 00:00:00.123', '2023-04-20 00:00:00.123456', 'Beijing', '', ${Short.MAX_VALUE}, ${Byte.MAX_VALUE}, true, ${Integer.MAX_VALUE}, ${Long.MAX_VALUE}, 170141183460469231731687303715884105727, ${Float.MAX_VALUE}, ${Double.MAX_VALUE}, 'char${i}', - 999999999, 999999999, 9, 0.9, 9.99999999, 1234567890.0123456789, 12345678901234567890123456789012345678, 1.2345678901234567890123456789012345678, 0.12345678901234567890123456789012345678), + 999999999, 999999999, 9, 0.9, 9.99999999, 1234567890.0123456789, 12345678901234567890123456789012345678, 1.2345678901234567890123456789012345678, 0.12345678901234567890123456789012345678, '255.255.255.255', 'ffff:ffff:ffff:ffff:ffff:ffff:ffff:ffff'), """) sb.append(""" (${++i}, '0000-01-01', '0000-01-01', '2023-04-20 00:00:00', '2023-04-20 00:00:00', '2023-04-20 00:00:00', '2023-04-20 00:00:00', 'Beijing', 'Haidian', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', - ${i}, ${i}, ${i}, 0.${i}, ${i}, ${i}, ${i}, ${i}, 0.${i}) + ${i}, ${i}, ${i}, 0.${i}, ${i}, ${i}, ${i}, ${i}, 0.${i}, '0.0.0.${i}', '::${i}') """) diff --git a/regression-test/suites/export_p0/test_export_empty_table.groovy b/regression-test/suites/export_p0/test_export_empty_table.groovy index e891647fe5..f70ff97b38 100644 --- a/regression-test/suites/export_p0/test_export_empty_table.groovy +++ b/regression-test/suites/export_p0/test_export_empty_table.groovy @@ -75,7 +75,9 @@ suite("test_export_empty_table", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -159,7 +161,9 @@ suite("test_export_empty_table", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -236,7 +240,9 @@ suite("test_export_empty_table", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -309,7 +315,9 @@ suite("test_export_empty_table", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -383,7 +391,9 @@ suite("test_export_empty_table", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -459,7 +469,9 @@ suite("test_export_empty_table", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ diff --git a/regression-test/suites/export_p0/test_export_orc.groovy b/regression-test/suites/export_p0/test_export_orc.groovy index c6bb2a4e5d..6353b54902 100644 --- a/regression-test/suites/export_p0/test_export_orc.groovy +++ b/regression-test/suites/export_p0/test_export_orc.groovy @@ -54,7 +54,9 @@ suite("test_export_orc", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -62,11 +64,11 @@ suite("test_export_orc", "p0") { int i = 1 for (; i < 100; i ++) { sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}), + (${i}, '2017-10-01', '2017-10-01 00:00:00', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}, '0.0.0.${i}', '::${i}'), """) } sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) + (${i}, '2017-10-01', '2017-10-01 00:00:00', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) """) sql """ INSERT INTO ${table_export_name} VALUES ${sb.toString()} diff --git a/regression-test/suites/export_p0/test_export_parquet.groovy b/regression-test/suites/export_p0/test_export_parquet.groovy index a357d15002..71506e7efe 100644 --- a/regression-test/suites/export_p0/test_export_parquet.groovy +++ b/regression-test/suites/export_p0/test_export_parquet.groovy @@ -55,7 +55,9 @@ suite("test_export_parquet", "p0") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -63,11 +65,11 @@ suite("test_export_parquet", "p0") { int i = 1 for (; i < 100; i ++) { sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}), + (${i}, '2017-10-01', '2017-10-01 00:00:00', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}, '0.0.0.${i}', '::${i}'), """) } sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) + (${i}, '2017-10-01', '2017-10-01 00:00:00', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) """) sql """ INSERT INTO ${table_export_name} VALUES ${sb.toString()} @@ -106,7 +108,7 @@ suite("test_export_parquet", "p0") { PROPERTIES( "label" = "${label}", "format" = "parquet", - 'columns' = 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, float_col, double_col, char_col, decimal_col, largeint_col' + 'columns' = 'user_id, date, datetime, city, age, sex, bool_col, int_col, bigint_col, float_col, double_col, char_col, decimal_col, largeint_col, ipv4_col, ipv6_col' ) WITH S3( "s3.endpoint" = "${s3_endpoint}", diff --git a/regression-test/suites/export_p0/test_outfile_csv_with_names.groovy b/regression-test/suites/export_p0/test_outfile_csv_with_names.groovy index 9772210019..56e9e576b5 100644 --- a/regression-test/suites/export_p0/test_outfile_csv_with_names.groovy +++ b/regression-test/suites/export_p0/test_outfile_csv_with_names.groovy @@ -78,7 +78,9 @@ suite("test_outfile_csv_with_names") { `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", `decimal_col` decimal COMMENT "", - `json_col` json COMMENT "" + `json_col` json COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -86,11 +88,11 @@ suite("test_outfile_csv_with_names") { int i = 1 for (; i < 10; i ++) { sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}, '{"a": ${i}, "b": "str${i}"}'), + (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}, '{"a": ${i}, "b": "str${i}"}', '0.0.0.${i}', '::${i}'), """) } sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) + (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) """) sql """ INSERT INTO ${tableName} VALUES ${sb.toString()} @@ -112,7 +114,7 @@ suite("test_outfile_csv_with_names") { File[] files = path.listFiles() assert files.length == 1 // check column names - String columnNames = """user_id|date|datetime|date_1|datetime_1|datetime_2|datetime_3|city|age|sex|bool_col|int_col|bigint_col|largeint_col|float_col|double_col|char_col|decimal_col|json_col""" + String columnNames = """user_id|date|datetime|date_1|datetime_1|datetime_2|datetime_3|city|age|sex|bool_col|int_col|bigint_col|largeint_col|float_col|double_col|char_col|decimal_col|json_col|ipv4_col|ipv6_col""" List outLines = Files.readAllLines(Paths.get(files[0].getAbsolutePath()), StandardCharsets.UTF_8); assertEquals(columnNames, outLines.get(0)) @@ -139,7 +141,9 @@ suite("test_outfile_csv_with_names") { `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", `decimal_col` decimal COMMENT "", - `json_col` json COMMENT "" + `json_col` json COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ diff --git a/regression-test/suites/export_p0/test_outfile_csv_with_names_and_types.groovy b/regression-test/suites/export_p0/test_outfile_csv_with_names_and_types.groovy index 4f47eb9c66..8de5590160 100644 --- a/regression-test/suites/export_p0/test_outfile_csv_with_names_and_types.groovy +++ b/regression-test/suites/export_p0/test_outfile_csv_with_names_and_types.groovy @@ -77,7 +77,9 @@ suite("test_outfile_csv_with_names_and_types") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """ @@ -85,11 +87,11 @@ suite("test_outfile_csv_with_names_and_types") { int i = 1 for (; i < 10; i ++) { sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}), + (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', 'Beijing', ${i}, ${i % 128}, true, ${i}, ${i}, ${i}, ${i}.${i}, ${i}.${i}, 'char${i}', ${i}, '0.0.0.${i}', '::${i}'), """) } sb.append(""" - (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) + (${i}, '2017-10-01', '2017-10-01 00:00:00', '2017-10-01', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', '2017-10-01 00:00:00.111111', NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL) """) sql """ INSERT INTO ${tableName} VALUES ${sb.toString()} @@ -112,8 +114,8 @@ suite("test_outfile_csv_with_names_and_types") { assert files.length == 1 // check column names - String columnNames = """user_id,date,datetime,date_1,datetime_1,datetime_2,datetime_3,city,age,sex,bool_col,int_col,bigint_col,largeint_col,float_col,double_col,char_col,decimal_col""" - String columnTypes = """INT,DATEV2,DATETIMEV2,DATEV2,DATETIMEV2,DATETIMEV2,DATETIMEV2,VARCHAR,SMALLINT,TINYINT,BOOL,INT,BIGINT,INT,FLOAT,DOUBLE,CHAR,DECIMAL32""" + String columnNames = """user_id,date,datetime,date_1,datetime_1,datetime_2,datetime_3,city,age,sex,bool_col,int_col,bigint_col,largeint_col,float_col,double_col,char_col,decimal_col,ipv4_col,ipv6_col""" + String columnTypes = """INT,DATEV2,DATETIMEV2,DATEV2,DATETIMEV2,DATETIMEV2,DATETIMEV2,VARCHAR,SMALLINT,TINYINT,BOOL,INT,BIGINT,INT,FLOAT,DOUBLE,CHAR,DECIMAL32,IPV4,IPV6""" List outLines = Files.readAllLines(Paths.get(files[0].getAbsolutePath()), StandardCharsets.UTF_8); assertEquals(columnNames, outLines.get(0)) assertEquals(columnTypes, outLines.get(1)) @@ -139,7 +141,9 @@ suite("test_outfile_csv_with_names_and_types") { `float_col` float COMMENT "", `double_col` double COMMENT "", `char_col` CHAR(10) COMMENT "", - `decimal_col` decimal COMMENT "" + `decimal_col` decimal COMMENT "", + `ipv4_col` ipv4 COMMENT "", + `ipv6_col` ipv6 COMMENT "" ) DISTRIBUTED BY HASH(user_id) PROPERTIES("replication_num" = "1"); """