mirror of
https://github.com/ClickHouse/ClickHouse.git
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160 lines
3.5 KiB
C++
160 lines
3.5 KiB
C++
#pragma once
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#include <DB/IO/WriteHelpers.h>
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#include <DB/IO/ReadHelpers.h>
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#include <DB/AggregateFunctions/IAggregateFunction.h>
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namespace DB
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{
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struct AggregateFunctionArgMinTraits
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{
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static bool better(const Field & lhs, const Field & rhs) { return lhs < rhs; }
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static String name() { return "argMin"; }
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};
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struct AggregateFunctionArgMaxTraits
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{
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static bool better(const Field & lhs, const Field & rhs) { return lhs > rhs; }
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static String name() { return "argMax"; }
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};
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struct AggregateFunctionsArgMinMaxData
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{
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Field result; // аргумент, при котором достигается минимальное/максимальное значение value.
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Field value; // значение, для которого считается минимум/максимум.
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};
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/// Возвращает первое попавшееся значение arg для минимального/максимального value. Пример: argMax(arg, value).
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template <typename Traits>
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class AggregateFunctionsArgMinMax final : public IAggregateFunctionHelper<AggregateFunctionsArgMinMaxData>
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{
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private:
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DataTypePtr type_res;
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DataTypePtr type_val;
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public:
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String getName() const { return Traits::name(); }
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DataTypePtr getReturnType() const
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{
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return type_res;
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}
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void setArguments(const DataTypes & arguments)
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{
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if (arguments.size() != 2)
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throw Exception("Aggregate function " + getName() + " requires exactly two arguments.", ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
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type_res = arguments[0];
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type_val = arguments[1];
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}
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void add(AggregateDataPtr place, const IColumn ** columns, size_t row_num) const
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{
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Field result;
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Field value;
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columns[0]->get(row_num, result);
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columns[1]->get(row_num, value);
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Data & d = data(place);
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if (!d.value.isNull())
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{
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if (Traits::better(value, d.value))
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{
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d.result = result;
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d.value = value;
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}
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}
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else
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{
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d.result = result;
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d.value = value;
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}
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}
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void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs) const
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{
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Data & d = data(place);
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const Data & d_rhs = data(rhs);
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if (!d.value.isNull())
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{
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if (Traits::better(d_rhs.value, d.value))
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{
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d.result = d_rhs.result;
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d.value = d_rhs.value;
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}
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}
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else
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{
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d.result = d_rhs.result;
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d.value = d_rhs.value;
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}
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}
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void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const
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{
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const Data & d = data(place);
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if (unlikely(d.result.isNull()))
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{
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writeBinary(false, buf);
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}
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else
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{
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writeBinary(true, buf);
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type_res->serializeBinary(d.result, buf);
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type_val->serializeBinary(d.value, buf);
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}
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}
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void deserializeMerge(AggregateDataPtr place, ReadBuffer & buf) const
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{
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Data & d = data(place);
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bool is_not_null = false;
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readBinary(is_not_null, buf);
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if (is_not_null)
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{
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if (!d.value.isNull())
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{
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Field result_;
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Field value_;
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type_res->deserializeBinary(result_, buf);
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type_val->deserializeBinary(value_, buf);
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if (Traits::better(value_, d.value))
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{
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d.result = result_;
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d.value = value_;
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}
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}
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else
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{
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type_res->deserializeBinary(d.result, buf);
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type_val->deserializeBinary(d.value, buf);
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}
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}
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}
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void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const
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{
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if (unlikely(data(place).value.isNull()))
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to.insertDefault();
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else
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to.insert(data(place).result);
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}
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};
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typedef AggregateFunctionsArgMinMax<AggregateFunctionArgMinTraits> AggregateFunctionArgMin;
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typedef AggregateFunctionsArgMinMax<AggregateFunctionArgMaxTraits> AggregateFunctionArgMax;
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}
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