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doris/be/src/vec/aggregate_functions/aggregate_function_collect.cpp
Adonis Ling e412dd12e8 [chore](build) Use include-what-you-use to optimize includes (PART II) (#18761)
Currently, there are some useless includes in the codebase. We can use a tool named include-what-you-use to optimize these includes. By using a strict include-what-you-use policy, we can get lots of benefits from it.
2023-04-19 23:11:48 +08:00

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// 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/aggregate_functions/aggregate_function_collect.h"
#include <fmt/format.h>
#include <boost/iterator/iterator_facade.hpp>
#include <type_traits>
#include "vec/aggregate_functions/aggregate_function_simple_factory.h"
#include "vec/aggregate_functions/helpers.h"
namespace doris::vectorized {
template <typename T, typename HasLimit>
AggregateFunctionPtr do_create_agg_function_collect(bool distinct, const DataTypes& argument_types,
const bool result_is_nullable) {
if (distinct) {
return creator_without_type::create<
AggregateFunctionCollect<AggregateFunctionCollectSetData<T, HasLimit>, HasLimit>>(
argument_types, result_is_nullable);
} else {
return creator_without_type::create<
AggregateFunctionCollect<AggregateFunctionCollectListData<T, HasLimit>, HasLimit>>(
argument_types, result_is_nullable);
}
}
template <typename HasLimit>
AggregateFunctionPtr create_aggregate_function_collect_impl(const std::string& name,
const DataTypes& argument_types,
const bool result_is_nullable) {
bool distinct = false;
if (name == "collect_set") {
distinct = true;
}
WhichDataType which(remove_nullable(argument_types[0]));
#define DISPATCH(TYPE) \
if (which.idx == TypeIndex::TYPE) \
return do_create_agg_function_collect<TYPE, HasLimit>(distinct, argument_types, \
result_is_nullable);
FOR_NUMERIC_TYPES(DISPATCH)
FOR_DECIMAL_TYPES(DISPATCH)
#undef DISPATCH
if (which.is_date_or_datetime()) {
return do_create_agg_function_collect<Int64, HasLimit>(distinct, argument_types,
result_is_nullable);
} else if (which.is_date_v2()) {
return do_create_agg_function_collect<UInt32, HasLimit>(distinct, argument_types,
result_is_nullable);
} else if (which.is_date_time_v2()) {
return do_create_agg_function_collect<UInt64, HasLimit>(distinct, argument_types,
result_is_nullable);
} else if (which.is_string()) {
return do_create_agg_function_collect<StringRef, HasLimit>(distinct, argument_types,
result_is_nullable);
}
LOG(WARNING) << fmt::format("unsupported input type {} for aggregate function {}",
argument_types[0]->get_name(), name);
return nullptr;
}
AggregateFunctionPtr create_aggregate_function_collect(const std::string& name,
const DataTypes& argument_types,
const bool result_is_nullable) {
if (argument_types.size() == 1) {
return create_aggregate_function_collect_impl<std::false_type>(name, argument_types,
result_is_nullable);
}
if (argument_types.size() == 2) {
return create_aggregate_function_collect_impl<std::true_type>(name, argument_types,
result_is_nullable);
}
LOG(WARNING) << fmt::format("number of parameters for aggregate function {}, should be 1 or 2",
name);
return nullptr;
}
void register_aggregate_function_collect_list(AggregateFunctionSimpleFactory& factory) {
factory.register_function_both("collect_list", create_aggregate_function_collect);
factory.register_function_both("collect_set", create_aggregate_function_collect);
factory.register_alias("collect_list", "group_array");
factory.register_alias("collect_set", "group_uniq_array");
}
} // namespace doris::vectorized