zhangstar333 commented on a change in pull request #8138: URL: https://github.com/apache/incubator-doris/pull/8138#discussion_r810741885
########## File path: be/src/vec/functions/function_bitmap_variadic.cpp ########## @@ -0,0 +1,229 @@ +// Licensed to the Apache Software Foundation (ASF) under one +// or more contributor license agreements. See the NOTICE file +// distributed with this work for additional information +// regarding copyright ownership. The ASF licenses this file +// to you under the Apache License, Version 2.0 (the +// "License"); you may not use this file except in compliance +// with the License. You may obtain a copy of the License at +// +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, +// software distributed under the License is distributed on an +// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +// KIND, either express or implied. See the License for the +// specific language governing permissions and limitations +// under the License. + +#include "vec/columns/column_complex.h" +#include "vec/data_types/data_type.h" +#include "vec/data_types/data_type_bitmap.h" +#include "vec/functions/function_const.h" +#include "vec/functions/function_string.h" +#include "vec/functions/function_totype.h" +#include "vec/functions/simple_function_factory.h" + +namespace doris::vectorized { + +struct BitmapAnd { + static constexpr auto name = "bitmap_and"; + using ResultDataType = DataTypeBitMap; + + static Status vector_vector(ColumnPtr argument_columns[], size_t col_size, + size_t input_rows_count, std::vector<BitmapValue>& res) { + + res = assert_cast<const ColumnBitmap*>(argument_columns[0].get())->get_data(); + + for (size_t col = 1; col < col_size; ++col) { + auto& col_data = + assert_cast<const ColumnBitmap*>(argument_columns[col].get())->get_data(); + for (size_t row = 0; row < input_rows_count; ++row) { + res[row] &= col_data[row]; + } + } + return Status::OK(); + } +}; + +struct BitmapOr { + static constexpr auto name = "bitmap_or"; + using ResultDataType = DataTypeBitMap; + + static Status vector_vector(ColumnPtr argument_columns[], size_t col_size, + size_t input_rows_count, std::vector<BitmapValue>& res) { + + res = assert_cast<const ColumnBitmap*>(argument_columns[0].get())->get_data(); + for (size_t col = 1; col < col_size; ++col) { + auto& col_data = + assert_cast<const ColumnBitmap*>(argument_columns[col].get())->get_data(); + for (size_t row = 0; row < input_rows_count; ++row) { + res[row] |= col_data[row]; + } + } + return Status::OK(); + } +}; + +struct BitmapXor { + using ResultDataType = DataTypeBitMap; + static constexpr auto name = "bitmap_xor"; + + static Status vector_vector(ColumnPtr argument_columns[], size_t col_size, + size_t input_rows_count, std::vector<BitmapValue>& res) { + + res = assert_cast<const ColumnBitmap*>(argument_columns[0].get())->get_data(); + for (size_t col = 1; col < col_size; ++col) { + auto& col_data = + assert_cast<const ColumnBitmap*>(argument_columns[col].get())->get_data(); + for (size_t row = 0; row < input_rows_count; ++row) { + res[row] ^= col_data[row]; + } + } + return Status::OK(); + } +}; + +struct BitmapOrCount { + static constexpr auto name = "bitmap_or_count"; + using ResultDataType = DataTypeInt64; + using TData = std::vector<BitmapValue>; + using ResTData = typename ColumnVector<Int64>::Container; + + static Status vector_vector(ColumnPtr argument_columns[], size_t col_size, + size_t input_rows_count, ResTData& res) { + + TData vals(input_rows_count); + for (size_t col = 0; col < col_size; ++col) { + auto& col_data = + assert_cast<const ColumnBitmap*>(argument_columns[col].get())->get_data(); + for (size_t row = 0; row < input_rows_count; ++row) { + vals[row] |= col_data[row]; + } + } + + for (size_t row = 0; row < input_rows_count; ++row) { + res[row] = vals[row].cardinality(); + } + return Status::OK(); + } +}; + +struct BitmapAndCount { + static constexpr auto name = "bitmap_and_count"; + using ResultDataType = DataTypeInt64; + using TData = std::vector<BitmapValue>; + using ResTData = typename ColumnVector<Int64>::Container; + + static Status vector_vector(ColumnPtr argument_columns[], size_t col_size, + size_t input_rows_count, ResTData& res) { + + TData vals(input_rows_count); + vals = assert_cast<const ColumnBitmap*>(argument_columns[0].get())->get_data(); + + for (size_t col = 1; col < col_size; ++col) { + auto& col_data = + assert_cast<const ColumnBitmap*>(argument_columns[col].get())->get_data(); + for (size_t row = 0; row < input_rows_count; ++row) { + vals[row] &= col_data[row]; + } + } + + for (size_t row = 0; row < input_rows_count; ++row) { + res[row] = vals[row].cardinality(); + } + return Status::OK(); + } +}; + +struct BitmapXorCount { + static constexpr auto name = "bitmap_xor_count"; + using ResultDataType = DataTypeInt64; + using TData = std::vector<BitmapValue>; + using ResTData = typename ColumnVector<Int64>::Container; + + static Status vector_vector(ColumnPtr argument_columns[], size_t col_size, + size_t input_rows_count, ResTData& res) { + + TData vals(input_rows_count); + vals = assert_cast<const ColumnBitmap*>(argument_columns[0].get())->get_data(); + + for (size_t col = 1; col < col_size; ++col) { + auto& col_data = + assert_cast<const ColumnBitmap*>(argument_columns[col].get())->get_data(); + for (size_t row = 0; row < input_rows_count; ++row) { + vals[row] ^= col_data[row]; + } + } + + for (size_t row = 0; row < input_rows_count; ++row) { + res[row] = vals[row].cardinality(); + } + return Status::OK(); + } +}; + + + +template <typename Impl> +class FunctionBitMapVariadic : public IFunction { +public: + static constexpr auto name = Impl::name; + + static FunctionPtr create() { return std::make_shared<FunctionBitMapVariadic>(); } + + String get_name() const override { return name; } + + size_t get_number_of_arguments() const override { return 0; } + + bool is_variadic() const override { return true; } + + DataTypePtr get_return_type_impl(const DataTypes& arguments) const override { + using ResultDataType = typename Impl::ResultDataType; + return std::make_shared<ResultDataType>(); + } + + bool use_default_implementation_for_constants() const override { return true; } + + Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments, + size_t result, size_t input_rows_count) override { + size_t argument_size = arguments.size(); + ColumnPtr argument_columns[argument_size]; + + for (size_t i = 0; i < argument_size; ++i) { + argument_columns[i] = + block.get_by_position(arguments[i]).column->convert_to_full_column_if_const(); + } + + using ResultDataType = typename Impl::ResultDataType; //DataTypeBitMap or DataTypeInt64 + using ResultType = typename ResultDataType::FieldType; //BitmapValue or Int64 + using ColVecResult = + std::conditional_t<is_complex_v<ResultType>, ColumnComplexType<ResultType>, + ColumnVector<ResultType>>; + typename ColVecResult::MutablePtr col_res = nullptr; + col_res = ColVecResult::create(); + + auto& vec_res = col_res->get_data(); + vec_res.resize(input_rows_count); + + Impl::vector_vector(argument_columns, argument_size, input_rows_count, vec_res); + block.replace_by_position(result, std::move(col_res)); + return Status::OK(); + } +}; + +using FunctionBitmapOr = FunctionBitMapVariadic<BitmapOr>; Review comment: now need support bitmap_or(bitmap, bitmap, ...); -- This is an automated message from the Apache Git Service. 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