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[Enhancement](doris-future) Support "REGR_" aggregation functions (PA…
…RT II) (#41240) ## Proposed changes Issue Number: close #38975 <!--Describe your changes.--> ```sql mysql> select * from test; +------+------+------+ | id | x | y | +------+------+------+ | 1 | 18 | 13 | | 3 | 12 | 2 | | 5 | 10 | 20 | | 2 | 14 | 27 | | 4 | 5 | 6 | +------+------+------+ 5 rows in set (0.07 sec) mysql> select regr_slope(y,x) , regr_intercept(y,x) from test; +--------------------+----------------------+ | regr_slope(y, x) | regr_intercept(y, x) | +--------------------+----------------------+ | 0.6853448275862069 | 5.512931034482759 | +--------------------+----------------------+ 1 row in set (0.15 sec) ``` --------- Co-authored-by: zhiqiang-hhhh <seuhezhiqiang@163.com>
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be/src/vec/aggregate_functions/aggregate_function_regr_union.cpp
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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. | ||
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#include "vec/aggregate_functions/aggregate_function_regr_union.h" | ||
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#include "common/status.h" | ||
#include "vec/aggregate_functions/aggregate_function.h" | ||
#include "vec/aggregate_functions/aggregate_function_simple_factory.h" | ||
#include "vec/aggregate_functions/helpers.h" | ||
#include "vec/core/types.h" | ||
#include "vec/data_types/data_type.h" | ||
#include "vec/data_types/data_type_nullable.h" | ||
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namespace doris::vectorized { | ||
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template <typename T, template <typename> class StatFunctionTemplate> | ||
AggregateFunctionPtr type_dispatch_for_aggregate_function_regr(const DataTypes& argument_types, | ||
const bool& result_is_nullable, | ||
bool y_nullable_input, | ||
bool x_nullable_input) { | ||
if (y_nullable_input) { | ||
if (x_nullable_input) { | ||
return creator_without_type::create_ignore_nullable< | ||
AggregateFunctionRegrSimple<StatFunctionTemplate<T>, true, true>>( | ||
argument_types, result_is_nullable); | ||
} else { | ||
return creator_without_type::create_ignore_nullable< | ||
AggregateFunctionRegrSimple<StatFunctionTemplate<T>, true, false>>( | ||
argument_types, result_is_nullable); | ||
} | ||
} else { | ||
if (x_nullable_input) { | ||
return creator_without_type::create_ignore_nullable< | ||
AggregateFunctionRegrSimple<StatFunctionTemplate<T>, false, true>>( | ||
argument_types, result_is_nullable); | ||
} else { | ||
return creator_without_type::create_ignore_nullable< | ||
AggregateFunctionRegrSimple<StatFunctionTemplate<T>, false, false>>( | ||
argument_types, result_is_nullable); | ||
} | ||
} | ||
} | ||
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template <template <typename> class StatFunctionTemplate> | ||
AggregateFunctionPtr create_aggregate_function_regr(const std::string& name, | ||
const DataTypes& argument_types, | ||
const bool result_is_nullable) { | ||
if (argument_types.size() != 2) { | ||
LOG(WARNING) << "aggregate function " << name << " requires exactly 2 arguments"; | ||
return nullptr; | ||
} | ||
if (!result_is_nullable) { | ||
LOG(WARNING) << "aggregate function " << name << " requires nullable result type"; | ||
return nullptr; | ||
} | ||
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bool y_nullable_input = argument_types[0]->is_nullable(); | ||
bool x_nullable_input = argument_types[1]->is_nullable(); | ||
WhichDataType y_type(remove_nullable(argument_types[0])); | ||
WhichDataType x_type(remove_nullable(argument_types[1])); | ||
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#define DISPATCH(TYPE) \ | ||
if (x_type.idx == TypeIndex::TYPE && y_type.idx == TypeIndex::TYPE) \ | ||
return type_dispatch_for_aggregate_function_regr<TYPE, StatFunctionTemplate>( \ | ||
argument_types, result_is_nullable, y_nullable_input, x_nullable_input); | ||
FOR_NUMERIC_TYPES(DISPATCH) | ||
#undef DISPATCH | ||
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LOG(WARNING) << "unsupported input types " << argument_types[0]->get_name() << " and " | ||
<< argument_types[1]->get_name() << " for aggregate function " << name; | ||
return nullptr; | ||
} | ||
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void register_aggregate_function_regr_union(AggregateFunctionSimpleFactory& factory) { | ||
factory.register_function_both("regr_slope", create_aggregate_function_regr<RegrSlopeFunc>); | ||
factory.register_function_both("regr_intercept", | ||
create_aggregate_function_regr<RegrInterceptFunc>); | ||
} | ||
} // namespace doris::vectorized |
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be/src/vec/aggregate_functions/aggregate_function_regr_union.h
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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. | ||
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#pragma once | ||
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#include <cmath> | ||
#include <cstdint> | ||
#include <string> | ||
#include <type_traits> | ||
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#include "common/exception.h" | ||
#include "common/status.h" | ||
#include "vec/aggregate_functions/aggregate_function.h" | ||
#include "vec/columns/column_nullable.h" | ||
#include "vec/columns/column_vector.h" | ||
#include "vec/common/assert_cast.h" | ||
#include "vec/core/field.h" | ||
#include "vec/core/types.h" | ||
#include "vec/data_types/data_type.h" | ||
#include "vec/data_types/data_type_nullable.h" | ||
#include "vec/data_types/data_type_number.h" | ||
#include "vec/io/io_helper.h" | ||
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namespace doris::vectorized { | ||
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template <typename T> | ||
struct AggregateFunctionRegrData { | ||
using Type = T; | ||
UInt64 count = 0; | ||
Float64 sum_x {}; | ||
Float64 sum_y {}; | ||
Float64 sum_of_x_mul_y {}; | ||
Float64 sum_of_x_squared {}; | ||
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void write(BufferWritable& buf) const { | ||
write_binary(sum_x, buf); | ||
write_binary(sum_y, buf); | ||
write_binary(sum_of_x_mul_y, buf); | ||
write_binary(sum_of_x_squared, buf); | ||
write_binary(count, buf); | ||
} | ||
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void read(BufferReadable& buf) { | ||
read_binary(sum_x, buf); | ||
read_binary(sum_y, buf); | ||
read_binary(sum_of_x_mul_y, buf); | ||
read_binary(sum_of_x_squared, buf); | ||
read_binary(count, buf); | ||
} | ||
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void reset() { | ||
sum_x = {}; | ||
sum_y = {}; | ||
sum_of_x_mul_y = {}; | ||
sum_of_x_squared = {}; | ||
count = 0; | ||
} | ||
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void merge(const AggregateFunctionRegrData& rhs) { | ||
if (rhs.count == 0) { | ||
return; | ||
} | ||
sum_x += rhs.sum_x; | ||
sum_y += rhs.sum_y; | ||
sum_of_x_mul_y += rhs.sum_of_x_mul_y; | ||
sum_of_x_squared += rhs.sum_of_x_squared; | ||
count += rhs.count; | ||
} | ||
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void add(T value_y, T value_x) { | ||
sum_x += value_x; | ||
sum_y += value_y; | ||
sum_of_x_mul_y += value_x * value_y; | ||
sum_of_x_squared += value_x * value_x; | ||
count += 1; | ||
} | ||
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Float64 get_slope() const { | ||
Float64 denominator = count * sum_of_x_squared - sum_x * sum_x; | ||
if (count < 2 || denominator == 0.0) { | ||
return std::numeric_limits<Float64>::quiet_NaN(); | ||
} | ||
Float64 slope = (count * sum_of_x_mul_y - sum_x * sum_y) / denominator; | ||
return slope; | ||
} | ||
}; | ||
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template <typename T> | ||
struct RegrSlopeFunc : AggregateFunctionRegrData<T> { | ||
static constexpr const char* name = "regr_slope"; | ||
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Float64 get_result() const { return this->get_slope(); } | ||
}; | ||
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template <typename T> | ||
struct RegrInterceptFunc : AggregateFunctionRegrData<T> { | ||
static constexpr const char* name = "regr_intercept"; | ||
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Float64 get_result() const { | ||
auto slope = this->get_slope(); | ||
if (std::isnan(slope)) { | ||
return slope; | ||
} else { | ||
Float64 intercept = (this->sum_y - slope * this->sum_x) / this->count; | ||
return intercept; | ||
} | ||
} | ||
}; | ||
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template <typename RegrFunc, bool y_nullable, bool x_nullable> | ||
class AggregateFunctionRegrSimple | ||
: public IAggregateFunctionDataHelper< | ||
RegrFunc, AggregateFunctionRegrSimple<RegrFunc, y_nullable, x_nullable>> { | ||
public: | ||
using Type = typename RegrFunc::Type; | ||
using XInputCol = ColumnVector<Type>; | ||
using YInputCol = ColumnVector<Type>; | ||
using ResultCol = ColumnVector<Float64>; | ||
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explicit AggregateFunctionRegrSimple(const DataTypes& argument_types_) | ||
: IAggregateFunctionDataHelper< | ||
RegrFunc, AggregateFunctionRegrSimple<RegrFunc, y_nullable, x_nullable>>( | ||
argument_types_) { | ||
DCHECK(!argument_types_.empty()); | ||
} | ||
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String get_name() const override { return RegrFunc::name; } | ||
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DataTypePtr get_return_type() const override { | ||
return make_nullable(std::make_shared<DataTypeFloat64>()); | ||
} | ||
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void add(AggregateDataPtr __restrict place, const IColumn** columns, ssize_t row_num, | ||
Arena*) const override { | ||
bool y_null = false; | ||
bool x_null = false; | ||
const YInputCol* y_nested_column = nullptr; | ||
const XInputCol* x_nested_column = nullptr; | ||
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if constexpr (y_nullable) { | ||
const ColumnNullable& y_column_nullable = | ||
assert_cast<const ColumnNullable&, TypeCheckOnRelease::DISABLE>(*columns[0]); | ||
y_null = y_column_nullable.is_null_at(row_num); | ||
y_nested_column = assert_cast<const YInputCol*, TypeCheckOnRelease::DISABLE>( | ||
y_column_nullable.get_nested_column_ptr().get()); | ||
} else { | ||
y_nested_column = assert_cast<const YInputCol*, TypeCheckOnRelease::DISABLE>( | ||
(*columns[0]).get_ptr().get()); | ||
} | ||
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if constexpr (x_nullable) { | ||
const ColumnNullable& x_column_nullable = | ||
assert_cast<const ColumnNullable&, TypeCheckOnRelease::DISABLE>(*columns[1]); | ||
x_null = x_column_nullable.is_null_at(row_num); | ||
x_nested_column = assert_cast<const XInputCol*, TypeCheckOnRelease::DISABLE>( | ||
x_column_nullable.get_nested_column_ptr().get()); | ||
} else { | ||
x_nested_column = assert_cast<const XInputCol*, TypeCheckOnRelease::DISABLE>( | ||
(*columns[1]).get_ptr().get()); | ||
} | ||
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if (x_null || y_null) { | ||
return; | ||
} | ||
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Type y_value = y_nested_column->get_data()[row_num]; | ||
Type x_value = x_nested_column->get_data()[row_num]; | ||
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this->data(place).add(y_value, x_value); | ||
} | ||
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void reset(AggregateDataPtr __restrict place) const override { this->data(place).reset(); } | ||
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void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs, | ||
Arena*) const override { | ||
this->data(place).merge(this->data(rhs)); | ||
} | ||
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void serialize(ConstAggregateDataPtr __restrict place, BufferWritable& buf) const override { | ||
this->data(place).write(buf); | ||
} | ||
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void deserialize(AggregateDataPtr __restrict place, BufferReadable& buf, | ||
Arena*) const override { | ||
this->data(place).read(buf); | ||
} | ||
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void insert_result_into(ConstAggregateDataPtr __restrict place, IColumn& to) const override { | ||
const auto& data = this->data(place); | ||
auto& dst_column_with_nullable = assert_cast<ColumnNullable&>(to); | ||
auto& dst_column = assert_cast<ResultCol&>(dst_column_with_nullable.get_nested_column()); | ||
Float64 result = data.get_result(); | ||
if (std::isnan(result)) { | ||
dst_column_with_nullable.get_null_map_data().push_back(1); | ||
dst_column.insert_default(); | ||
} else { | ||
dst_column_with_nullable.get_null_map_data().push_back(0); | ||
dst_column.get_data().push_back(result); | ||
} | ||
} | ||
}; | ||
} // namespace doris::vectorized |
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