amorynan commented on code in PR #34501: URL: https://github.com/apache/doris/pull/34501#discussion_r1593477018
########## be/src/vec/functions/array/function_array_match_any.cpp: ########## @@ -0,0 +1,292 @@ +// 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 <fmt/format.h> +#include <glog/logging.h> +#include <stddef.h> + +#include <memory> +#include <ostream> +#include <string> +#include <utility> + +#include "common/status.h" +#include "runtime/thread_context.h" +#include "vec/columns/column.h" +#include "vec/functions/array/function_array_index.h" +//#include "vec/columns/column_array.h" +//#include "vec/columns/column_const.h" +//#include "vec/columns/column_nullable.h" +//#include "vec/columns/column_vector.h" +//#include "vec/columns/columns_number.h" +//#include "vec/common/assert_cast.h" +#include "vec/common/string_ref.h" +#include "vec/core/block.h" +#include "vec/core/column_numbers.h" +//#include "vec/core/column_with_type_and_name.h" +#include "vec/columns/column_map.h" +#include "vec/core/types.h" +#include "vec/data_types/data_type.h" +#include "vec/data_types/data_type_array.h" +#include "vec/data_types/data_type_nullable.h" +#include "vec/data_types/data_type_number.h" +#include "vec/functions/function.h" +#include "vec/functions/function_helpers.h" +#include "vec/functions/simple_function_factory.h" + +namespace doris { +class FunctionContext; +} // namespace doris + +namespace doris::vectorized { + +// array_match_any(columnArray, "a,b") -> true +class FunctionArrayMatchAny : public IFunction { +public: + static constexpr auto name = "array_match_any"; + + static FunctionPtr create() { return std::make_shared<FunctionArrayMatchAny>(); } + + String get_name() const override { return name; } + + bool is_variadic() const override { return true; } + + size_t get_number_of_arguments() const override { return 3; } + + // match functions only need to set 1/true + DataTypePtr get_return_type_impl(const DataTypes& arguments) const override { + DCHECK(arguments.size() >= 2); + DCHECK(is_array(remove_nullable(arguments[0]))) + << "First argument for function: " << name + << " should be DataTypeArray but it has type " << arguments[0]->get_name() << "."; + DCHECK(is_string(remove_nullable(arguments[1]))) + << "Second argument for function: " << name << " should be String but it has type " + << arguments[1]->get_name() << "."; + const auto* array_type = + check_and_get_data_type<DataTypeArray>(remove_nullable(arguments[0]).get()); + DCHECK(is_string(remove_nullable(array_type->get_nested_type()))) + << "Element type of array in function: " << name + << " should be String but it has type " << array_type->get_nested_type()->get_name() + << "."; + return std::make_shared<DataTypeUInt8>(); + } + + Status open(FunctionContext* context, FunctionContext::FunctionStateScope scope) override { + if (scope == FunctionContext::THREAD_LOCAL) { + return Status::OK(); + } + + DCHECK(context->get_num_args() >= 2); + DCHECK(context->get_arg_type(0)->is_array_type()); + DCHECK(context->get_arg_type(1)->is_string_type()); + std::shared_ptr<ParamValue> state = std::make_shared<ParamValue>(); + Field field; + if (context->get_constant_col(1)) { + context->get_constant_col(1)->column_ptr->get(0, field); + state->value = field; + state->type = context->get_arg_type(1)->type; + context->set_function_state(scope, state); + } + return Status::OK(); + } + + Status eval_inverted_index(FunctionContext* context, + const vectorized::NameAndTypePair& data_type_with_name, + segment_v2::InvertedIndexIterator* iter, uint32_t num_rows, + roaring::Roaring* bitmap) const override { + DBUG_EXECUTE_IF("match.invert_index_not_support_eval_match", { + return Status::Error<ErrorCode::INVERTED_INDEX_NOT_SUPPORTED>( + "FunctionMatchAny not support eval_match"); + }) + std::shared_ptr<roaring::Roaring> roaring = std::make_shared<roaring::Roaring>(); + auto* param_value = reinterpret_cast<ParamValue*>( + context->get_function_state(FunctionContext::FRAGMENT_LOCAL)); + if (param_value == nullptr) { + return Status::Error<ErrorCode::INVERTED_INDEX_EVALUATE_SKIPPED>( + "Inverted index evaluate skipped, param_value is nullptr"); + } + std::unique_ptr<InvertedIndexQueryParamFactory> query_param = nullptr; + RETURN_IF_ERROR(InvertedIndexQueryParamFactory::create_query_value( + param_value->type, ¶m_value->value, query_param)); + // here should use MATCH_ANY_QUERY + RETURN_IF_ERROR(iter->read_from_inverted_index( + data_type_with_name.first, query_param->get_value(), + segment_v2::InvertedIndexQueryType::MATCH_ANY_QUERY, num_rows, roaring)); + + segment_v2::InvertedIndexQueryCacheHandle null_bitmap_cache_handle; + RETURN_IF_ERROR(iter->read_null_bitmap(&null_bitmap_cache_handle)); + std::shared_ptr<roaring::Roaring> null_bitmap = null_bitmap_cache_handle.get_bitmap(); + if (null_bitmap) { + *bitmap -= *null_bitmap; + } + *bitmap = *roaring; + param_value->is_evaled_inverted_idx = true; + return Status::OK(); + } + + Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments, + size_t result, size_t input_rows_count) const override { + DBUG_EXECUTE_IF("match.invert_index_not_support_execute_match", { + return Status::Error<ErrorCode::INVERTED_INDEX_NOT_SUPPORTED>( + "FunctionMatchAny not support execute_match"); + }) + bool is_eval_inverted_index = false; + auto* param_value = reinterpret_cast<ParamValue*>( + context->get_function_state(FunctionContext::FRAGMENT_LOCAL)); + if (param_value != nullptr) { + is_eval_inverted_index = param_value->is_evaled_inverted_idx; + } + + // the array column in block should prepared + auto left_column = + block.get_by_position(arguments[0]).column->convert_to_full_column_if_const(); + const ColumnArray* array_column = nullptr; + const UInt8* array_null_map = nullptr; + if (left_column->is_nullable()) { + auto nullable_array = reinterpret_cast<const ColumnNullable*>(left_column.get()); + array_column = + reinterpret_cast<const ColumnArray*>(&nullable_array->get_nested_column()); + array_null_map = nullable_array->get_null_map_column().get_data().data(); + } else { + array_column = reinterpret_cast<const ColumnArray*>(left_column.get()); + } + const auto& offsets = array_column->get_offsets(); + // prepare dst column + auto dst = ColumnVector<UInt8>::create(offsets.size()); + auto& dst_data = dst->get_data(); + auto dst_null_column = ColumnUInt8::create(offsets.size()); + auto& dst_null_data = dst_null_column->get_data(); + + if (is_eval_inverted_index) { + // here is no need to eval array column again,just put array column to res + for (size_t row = 0; row < offsets.size(); ++row) { + if (array_null_map && array_null_map[row]) { + dst_null_data[row] = true; + continue; + } + dst_null_data[row] = false; Review Comment: done! -- This is an automated message from the Apache Git Service. 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