[feature](map) basic functions for map datatype (#16916)
basic functions for map datatype: - MAP<K, V> map(K k1, V v1, ...) - BIGINT map_size(MAP<K, V> m) - BOOL map_contains_key(MAP<K, V> m, K k1) - BOOL map_contains_value(MAP<K, V> m, V v1) - ARRAY< K> map_keys(MAP<K, V> m) - ARRAY< V> map_values(MAP<K, V> m)
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Kang
330
be/src/vec/functions/function_map.cpp
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330
be/src/vec/functions/function_map.cpp
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// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include "vec/columns/column_array.h"
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#include "vec/columns/column_const.h"
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#include "vec/columns/column_map.h"
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#include "vec/data_types/data_type.h"
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#include "vec/data_types/data_type_array.h"
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#include "vec/data_types/data_type_map.h"
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#include "vec/data_types/data_type_nullable.h"
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#include "vec/data_types/data_type_number.h"
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#include "vec/data_types/get_least_supertype.h"
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#include "vec/functions/array/function_array_index.h"
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#include "vec/functions/function.h"
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#include "vec/functions/function_helpers.h"
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#include "vec/functions/simple_function_factory.h"
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namespace doris::vectorized {
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// construct a map
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// map(key1, value2, key2, value2) -> {key1: value2, key2: value2}
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class FunctionMap : public IFunction {
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public:
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static constexpr auto name = "map";
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static FunctionPtr create() { return std::make_shared<FunctionMap>(); }
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/// Get function name.
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String get_name() const override { return name; }
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bool is_variadic() const override { return true; }
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bool use_default_implementation_for_nulls() const override { return false; }
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size_t get_number_of_arguments() const override { return 0; }
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DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
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DCHECK(arguments.size() % 2 == 0)
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<< "function: " << get_name() << ", arguments should not be even number";
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DataTypes key_types;
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DataTypes val_types;
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for (size_t i = 0; i < arguments.size(); i += 2) {
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key_types.push_back(arguments[i]);
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val_types.push_back(arguments[i + 1]);
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}
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DataTypePtr key_type;
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DataTypePtr val_type;
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get_least_supertype(key_types, &key_type);
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get_least_supertype(val_types, &val_type);
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return std::make_shared<DataTypeMap>(make_nullable(key_type), make_nullable(val_type));
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}
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Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
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size_t result, size_t input_rows_count) override {
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DCHECK(arguments.size() % 2 == 0)
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<< "function: " << get_name() << ", arguments should not be even number";
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size_t num_element = arguments.size();
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auto result_col = block.get_by_position(result).type->create_column();
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auto map_column = typeid_cast<ColumnMap*>(result_col.get());
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if (!map_column) {
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return Status::RuntimeError("unsupported types for function {} return {}", get_name(),
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block.get_by_position(result).type->get_name());
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}
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// map keys column
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auto& result_col_map_keys_data = map_column->get_keys();
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result_col_map_keys_data.reserve(input_rows_count * num_element / 2);
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// map values column
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auto& result_col_map_vals_data = map_column->get_values();
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result_col_map_vals_data.reserve(input_rows_count * num_element / 2);
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// map offsets column
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auto& result_col_map_offsets = map_column->get_offsets();
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result_col_map_offsets.resize(input_rows_count);
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// convert to nullable column
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for (size_t i = 0; i < num_element; ++i) {
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auto& col = block.get_by_position(arguments[i]).column;
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col = col->convert_to_full_column_if_const();
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bool is_nullable = i % 2 == 0 ? result_col_map_keys_data.is_nullable()
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: result_col_map_vals_data.is_nullable();
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if (is_nullable && !col->is_nullable()) {
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col = ColumnNullable::create(col, ColumnUInt8::create(col->size(), 0));
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}
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}
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// insert value into array
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ColumnArray::Offset64 offset = 0;
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for (size_t row = 0; row < input_rows_count; ++row) {
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for (size_t i = 0; i < num_element; i += 2) {
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result_col_map_keys_data.insert_from(*block.get_by_position(arguments[i]).column,
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row);
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result_col_map_vals_data.insert_from(
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*block.get_by_position(arguments[i + 1]).column, row);
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}
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offset += num_element / 2;
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result_col_map_offsets[row] = offset;
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}
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block.replace_by_position(result, std::move(result_col));
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return Status::OK();
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}
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};
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class FunctionMapSize : public IFunction {
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public:
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static constexpr auto name = "map_size";
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static FunctionPtr create() { return std::make_shared<FunctionMapSize>(); }
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/// Get function name.
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String get_name() const override { return name; }
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bool is_variadic() const override { return false; }
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size_t get_number_of_arguments() const override { return 1; }
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DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
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DataTypePtr datatype = arguments[0];
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if (datatype->is_nullable()) {
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datatype = assert_cast<const DataTypeNullable*>(datatype.get())->get_nested_type();
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}
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DCHECK(is_map(datatype)) << "first argument for function: " << name
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<< " should be DataTypeMap";
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return std::make_shared<DataTypeInt64>();
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}
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Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
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size_t result, size_t input_rows_count) override {
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auto left_column =
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block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
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const ColumnMap* map_column = nullptr;
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// const UInt8* map_null_map = nullptr;
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if (left_column->is_nullable()) {
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auto nullable_column = reinterpret_cast<const ColumnNullable*>(left_column.get());
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map_column = check_and_get_column<ColumnMap>(nullable_column->get_nested_column());
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// map_null_map = nullable_column->get_null_map_column().get_data().data();
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} else {
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map_column = check_and_get_column<ColumnMap>(*left_column.get());
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}
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if (!map_column) {
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return Status::RuntimeError("unsupported types for function {}({})", get_name(),
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block.get_by_position(arguments[0]).type->get_name());
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}
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auto dst_column = ColumnInt64::create(input_rows_count);
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auto& dst_data = dst_column->get_data();
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for (size_t i = 0; i < map_column->size(); i++) {
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dst_data[i] = map_column->size_at(i);
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}
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block.replace_by_position(result, std::move(dst_column));
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return Status::OK();
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}
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};
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template <bool is_key>
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class FunctionMapContains : public IFunction {
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public:
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static constexpr auto name = is_key ? "map_contains_key" : "map_contains_value";
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static FunctionPtr create() { return std::make_shared<FunctionMapContains>(); }
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/// Get function name.
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String get_name() const override { return name; }
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bool is_variadic() const override { return false; }
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size_t get_number_of_arguments() const override { return 2; }
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bool use_default_implementation_for_nulls() const override {
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return array_contains.use_default_implementation_for_nulls();
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}
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DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
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DataTypePtr datatype = arguments[0];
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if (datatype->is_nullable()) {
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datatype = assert_cast<const DataTypeNullable*>(datatype.get())->get_nested_type();
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}
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DCHECK(is_map(datatype)) << "first argument for function: " << name
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<< " should be DataTypeMap";
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return make_nullable(std::make_shared<DataTypeNumber<UInt8>>());
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}
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Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
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size_t result, size_t input_rows_count) override {
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// backup original argument 0
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auto orig_arg0 = block.get_by_position(arguments[0]);
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auto left_column =
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block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
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const ColumnMap* map_column = nullptr;
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ColumnPtr nullmap_column = nullptr;
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if (left_column->is_nullable()) {
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auto nullable_column = reinterpret_cast<const ColumnNullable*>(left_column.get());
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map_column = check_and_get_column<ColumnMap>(nullable_column->get_nested_column());
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nullmap_column = nullable_column->get_null_map_column_ptr();
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} else {
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map_column = check_and_get_column<ColumnMap>(*left_column.get());
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}
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if (!map_column) {
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return Status::RuntimeError("unsupported types for function {}({})", get_name(),
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block.get_by_position(arguments[0]).type->get_name());
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}
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DataTypePtr datatype = block.get_by_position(arguments[0]).type;
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if (datatype->is_nullable()) {
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datatype = assert_cast<const DataTypeNullable*>(datatype.get())->get_nested_type();
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}
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const auto datatype_map = static_cast<const DataTypeMap*>(datatype.get());
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if constexpr (is_key) {
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const auto& array_column = map_column->get_keys_array_ptr();
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const auto datatype_array =
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std::make_shared<DataTypeArray>(datatype_map->get_key_type());
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if (nullmap_column) {
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block.get_by_position(arguments[0]) = {
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ColumnNullable::create(array_column, nullmap_column),
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make_nullable(datatype_array),
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block.get_by_position(arguments[0]).name + ".keys"};
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} else {
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block.get_by_position(arguments[0]) = {
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array_column, datatype_array,
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block.get_by_position(arguments[0]).name + ".keys"};
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}
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} else {
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const auto& array_column = map_column->get_values_array_ptr();
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const auto datatype_array =
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std::make_shared<DataTypeArray>(datatype_map->get_value_type());
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if (nullmap_column) {
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block.get_by_position(arguments[0]) = {
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ColumnNullable::create(array_column, nullmap_column),
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make_nullable(datatype_array),
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block.get_by_position(arguments[0]).name + ".values"};
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} else {
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block.get_by_position(arguments[0]) = {
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array_column, datatype_array,
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block.get_by_position(arguments[0]).name + ".values"};
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}
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}
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RETURN_IF_ERROR(
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array_contains.execute_impl(context, block, arguments, result, input_rows_count));
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// restore original argument 0
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block.get_by_position(arguments[0]) = orig_arg0;
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return Status::OK();
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}
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private:
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FunctionArrayIndex<ArrayContainsAction, FunctionMapContains<is_key>> array_contains;
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};
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template <bool is_key>
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class FunctionMapEntries : public IFunction {
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public:
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static constexpr auto name = is_key ? "map_keys" : "map_values";
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static FunctionPtr create() { return std::make_shared<FunctionMapEntries>(); }
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/// Get function name.
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String get_name() const override { return name; }
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bool is_variadic() const override { return false; }
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size_t get_number_of_arguments() const override { return 1; }
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DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
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DataTypePtr datatype = arguments[0];
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if (datatype->is_nullable()) {
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datatype = assert_cast<const DataTypeNullable*>(datatype.get())->get_nested_type();
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}
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DCHECK(is_map(datatype)) << "first argument for function: " << name
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<< " should be DataTypeMap";
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const auto datatype_map = static_cast<const DataTypeMap*>(datatype.get());
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if (is_key) {
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return std::make_shared<DataTypeArray>(datatype_map->get_key_type());
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} else {
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return std::make_shared<DataTypeArray>(datatype_map->get_value_type());
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}
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}
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Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
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size_t result, size_t input_rows_count) override {
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auto left_column =
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block.get_by_position(arguments[0]).column->convert_to_full_column_if_const();
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const ColumnMap* map_column = nullptr;
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if (left_column->is_nullable()) {
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auto nullable_column = reinterpret_cast<const ColumnNullable*>(left_column.get());
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map_column = check_and_get_column<ColumnMap>(nullable_column->get_nested_column());
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} else {
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map_column = check_and_get_column<ColumnMap>(*left_column.get());
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}
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if (!map_column) {
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return Status::RuntimeError("unsupported types for function {}({})", get_name(),
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block.get_by_position(arguments[0]).type->get_name());
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}
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if constexpr (is_key) {
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block.replace_by_position(result, map_column->get_keys_array_ptr());
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} else {
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block.replace_by_position(result, map_column->get_values_array_ptr());
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}
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return Status::OK();
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}
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};
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void register_function_map(SimpleFunctionFactory& factory) {
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factory.register_function<FunctionMap>();
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factory.register_function<FunctionMapSize>();
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factory.register_function<FunctionMapContains<true>>();
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factory.register_function<FunctionMapContains<false>>();
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factory.register_function<FunctionMapEntries<true>>();
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factory.register_function<FunctionMapEntries<false>>();
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}
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} // namespace doris::vectorized
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