adonis0147 commented on code in PR #9056: URL: https://github.com/apache/incubator-doris/pull/9056#discussion_r895707236
########## be/src/vec/functions/array/function_array_aggregation.cpp: ########## @@ -0,0 +1,300 @@ +// 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. +// This file is copied from +// https://github.com/ClickHouse/ClickHouse/blob/master/src/Functions/array/arrayAggregation.cpp +// and modified by Doris + +#include <type_traits> + +#include "vec/aggregate_functions/aggregate_function_avg.h" +#include "vec/aggregate_functions/aggregate_function_min_max.h" +#include "vec/aggregate_functions/aggregate_function_null.h" +#include "vec/aggregate_functions/aggregate_function_product.h" +#include "vec/aggregate_functions/aggregate_function_sum.h" +#include "vec/aggregate_functions/helpers.h" +#include "vec/columns/column_nullable.h" +#include "vec/common/arena.h" +#include "vec/core/types.h" +#include "vec/data_types/data_type.h" +#include "vec/data_types/data_type_nullable.h" +#include "vec/functions/array/function_array_mapped.h" +#include "vec/functions/simple_function_factory.h" + +namespace doris { +namespace vectorized { + +enum class AggregateOperation { MIN, MAX, SUM, AVERAGE, PRODUCT }; + +template <typename Element, AggregateOperation operation> +struct ArrayAggregateResultImpl; + +template <typename Element> +struct ArrayAggregateResultImpl<Element, AggregateOperation::MIN> { + using Result = Element; +}; + +template <typename Element> +struct ArrayAggregateResultImpl<Element, AggregateOperation::MAX> { + using Result = Element; +}; + +template <typename Element> +struct ArrayAggregateResultImpl<Element, AggregateOperation::AVERAGE> { + using Result = std::conditional_t<IsDecimalNumber<Element>, Decimal128, Float64>; +}; + +template <typename Element> +struct ArrayAggregateResultImpl<Element, AggregateOperation::PRODUCT> { + using Result = std::conditional_t<IsDecimalNumber<Element>, Decimal128, Float64>; +}; + +template <typename Element> +struct ArrayAggregateResultImpl<Element, AggregateOperation::SUM> { + using Result = std::conditional_t< + IsDecimalNumber<Element>, Decimal128, + std::conditional_t<IsFloatNumber<Element>, Float64, + std::conditional_t<std::is_same_v<Element, Int128>, Int128, Int64>>>; +}; + +template <typename Element, AggregateOperation operation> +using ArrayAggregateResult = typename ArrayAggregateResultImpl<Element, operation>::Result; + +template <AggregateOperation operation> +struct AggregateFunctionImpl; + +template <> +struct AggregateFunctionImpl<AggregateOperation::SUM> { + template <typename Element> + struct TypeTraits { + using ResultType = ArrayAggregateResult<Element, AggregateOperation::SUM>; + using AggregateDataType = AggregateFunctionSumData<ResultType>; + using Function = AggregateFunctionSum<Element, ResultType, AggregateDataType>; + }; +}; + +template <> +struct AggregateFunctionImpl<AggregateOperation::AVERAGE> { + template <typename Element> + struct TypeTraits { + struct AggregateDataType : public AggregateFunctionAvgData<Element> { + using AggregateFunctionAvgData<Element>::count; + using AggregateFunctionAvgData<Element>::sum; + + template <typename ResultT> + ResultT result() const { + return count ? AggregateFunctionAvgData<Element>::template result<ResultT>() + : static_cast<ResultT>(sum); + } + }; + + using ResultType = ArrayAggregateResult<Element, AggregateOperation::AVERAGE>; + using Function = AggregateFunctionAvg<Element, AggregateDataType>; + static_assert(std::is_same_v<ResultType, typename Function::ResultType>, + "ResultType doesn't match."); + }; +}; + +template <> +struct AggregateFunctionImpl<AggregateOperation::PRODUCT> { + template <typename Element> + struct TypeTraits { + using ResultType = ArrayAggregateResult<Element, AggregateOperation::PRODUCT>; + using AggregateDataType = AggregateFunctionProductData<Element>; + using Function = AggregateFunctionProduct<Element, ResultType, AggregateDataType>; + }; +}; + +template <typename Derived> +struct AggregateFunction { + template <typename T> + using Function = typename Derived::template TypeTraits<T>::Function; + + static auto create(const DataTypePtr& data_type) -> AggregateFunctionPtr { + DataTypes data_types = {data_type}; + AggregateFunctionPtr function; + + if (data_type->is_nullable()) { + const auto& nested_data_type = + static_cast<const DataTypeNullable&>(*data_type).get_nested_type(); + auto nested_function = create(nested_data_type); + function.reset(new AggregateFunctionNullUnary<true>(nested_function, data_types, {})); + } else { + if (is_decimal(data_type)) { + function.reset( + create_with_decimal_type<Function>(*data_type, *data_type, data_types)); + } else { + function.reset(create_with_numeric_type<Function>(*data_type, data_types)); + } + } + return function; + } +}; + +template <AggregateOperation operation> +struct ArrayAggregateImpl { + using column_type = ColumnArray; + using data_type = DataTypeArray; + + static DataTypePtr get_return_type(const DataTypeArray* data_type_array) { + using Function = AggregateFunction<AggregateFunctionImpl<operation>>; + auto function = Function::create(data_type_array->get_nested_type()); + return function->get_return_type(); + } + + static Status execute(Block& block, size_t result, const DataTypeArray* data_type_array, + const ColumnArray& array) { + ColumnPtr res; + DataTypePtr type = data_type_array->get_nested_type(); + const IColumn* data = array.get_data_ptr().get(); + + const auto& offsets = array.get_offsets(); + if (execute_type<Int8>(res, type, data, offsets) || + execute_type<Int16>(res, type, data, offsets) || + execute_type<Int32>(res, type, data, offsets) || + execute_type<Int64>(res, type, data, offsets) || + execute_type<Int128>(res, type, data, offsets) || + execute_type<Float32>(res, type, data, offsets) || + execute_type<Float64>(res, type, data, offsets) || + execute_type<Decimal128>(res, type, data, offsets)) { + block.replace_by_position(result, std::move(res)); + return Status::OK(); + } else { + return Status::RuntimeError("Unexpected column for aggregation: " + data->get_name()); + } + } + + template <typename Element> + static bool execute_type(ColumnPtr& res_ptr, const DataTypePtr& type, const IColumn* data, + const ColumnArray::Offsets& offsets) { + using ColVecType = ColumnVectorOrDecimal<Element>; + using ResultType = ArrayAggregateResult<Element, operation>; + using ColVecResultType = ColumnVectorOrDecimal<ResultType>; + using Function = AggregateFunction<AggregateFunctionImpl<operation>>; + + const ColVecType* column = + data->is_nullable() + ? check_and_get_column<ColVecType>( + static_cast<const ColumnNullable*>(data)->get_nested_column()) + : check_and_get_column<ColVecType>(&*data); + if (!column) { + return false; + } + + ColumnPtr res_column; + if constexpr (IsDecimalNumber<Element>) { + res_column = + make_nullable(ColVecResultType::create(offsets.size(), column->get_scale())); + } else { + res_column = make_nullable(ColVecResultType::create(offsets.size())); + } + static_cast<ColumnNullable&>(res_column->assume_mutable_ref()).clear(); Review Comment: Refined. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@doris.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: commits-unsubscr...@doris.apache.org For additional commands, e-mail: commits-h...@doris.apache.org
