cambyzju commented on code in PR #10388: URL: https://github.com/apache/doris/pull/10388#discussion_r913574823
########## be/src/vec/functions/array/function_array_distinct.h: ########## @@ -0,0 +1,268 @@ +// 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/arrayDistinct.cpp +// and modified by Doris +#pragma once + +#include "vec/columns/column_array.h" +#include "vec/columns/column_const.h" +#include "vec/common/hash_table/hash_set.h" +#include "vec/common/hash_table/hash_table.h" +#include "vec/common/sip_hash.h" +#include "vec/data_types/data_type_array.h" +#include "vec/data_types/data_type_number.h" +#include "vec/functions/function.h" +#include "vec/functions/function_helpers.h" +#include "vec/io/io_helper.h" + +namespace doris::vectorized { + +class FunctionArrayDistinct : public IFunction { +public: + static constexpr auto name = "array_distinct"; + static FunctionPtr create() { return std::make_shared<FunctionArrayDistinct>(); } + using NullMapType = PaddedPODArray<UInt8>; + + /// Get function name. + String get_name() const override { return name; } + + bool is_variadic() const override { return false; } + + size_t get_number_of_arguments() const override { return 1; } + + DataTypePtr get_return_type_impl(const DataTypes& arguments) const override { + DCHECK(is_array(arguments[0])) + << "first argument for function: " << name << " should be DataTypeArray" + << " and arguments[0] is " << arguments[0]->get_name(); + return arguments[0]; + } + + Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments, + size_t result, size_t input_rows_count) override { + ColumnPtr src_column = + block.get_by_position(arguments[0]).column->convert_to_full_column_if_const(); + const auto& src_column_array = check_and_get_column<ColumnArray>(*src_column); + if (!src_column_array) { + return Status::RuntimeError( + fmt::format("unsupported types for function {}({})", get_name(), + block.get_by_position(arguments[0]).type->get_name())); + } + const auto& src_offsets = src_column_array->get_offsets(); + const auto& src_nested_column = src_column_array->get_data(); + + DataTypePtr src_column_type = block.get_by_position(arguments[0]).type; + auto nested_type = assert_cast<const DataTypeArray&>(*src_column_type).get_nested_type(); + auto dest_column_ptr = ColumnArray::create(nested_type->create_column(), + ColumnArray::ColumnOffsets::create()); + IColumn& dest_nested_column = dest_column_ptr->get_data(); + ColumnArray::Offsets& dest_offsets = dest_column_ptr->get_offsets(); + dest_nested_column.reserve(src_nested_column.size()); + dest_offsets.reserve(input_rows_count); + + const IColumn* src_inner_column = nullptr; + const NullMapType* src_null_map = nullptr; + const ColumnNullable* src_nested_nullable_col = nullptr; + if (src_nested_column.is_nullable()) { + src_nested_nullable_col = check_and_get_column<ColumnNullable>(src_nested_column); + src_inner_column = src_nested_nullable_col->get_nested_column_ptr(); + src_null_map = &src_nested_nullable_col->get_null_map_column().get_data(); + } else { + src_inner_column = src_column_array->get_data_ptr(); + } + + IColumn* dest_inner_column = nullptr; + NullMapType* dest_null_map = nullptr; + ColumnNullable* dest_nested_nullable_col = nullptr; + if (dest_nested_column.is_nullable()) { + dest_nested_nullable_col = reinterpret_cast<ColumnNullable*>(&dest_nested_column); + dest_inner_column = &dest_nested_nullable_col->get_nested_column(); + dest_null_map = &dest_nested_nullable_col->get_null_map_column().get_data(); + } else { + dest_inner_column = &dest_nested_column; + } + + auto res_val = _execute_by_type(*src_inner_column, src_offsets, *dest_inner_column, + dest_offsets, src_null_map, dest_null_map, nested_type); + if (!res_val) { + return Status::RuntimeError( + fmt::format("execute failed or unsupported types for function {}({})", + get_name(), block.get_by_position(arguments[0]).type->get_name())); + } + + block.replace_by_position(result, std::move(dest_column_ptr)); + return Status::OK(); + } + +private: + // Note: Here initially allocate a piece of memory for 2^5 = 32 elements. + static constexpr size_t INITIAL_SIZE_DEGREE = 5; + + template <typename ColumnType> + bool _execute_number(const IColumn& src_column, const ColumnArray::Offsets& src_offsets, + IColumn& dest_column, ColumnArray::Offsets& dest_offsets, + const NullMapType* src_null_map, NullMapType* dest_null_map) { + using NestType = typename ColumnType::value_type; + using ElementNativeType = typename NativeType<NestType>::Type; + + const ColumnType* src_data_concrete = check_and_get_column<ColumnType>(&src_column); Review Comment: use reinterpret_cast -- This is an automated message from the Apache Git Service. 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