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https://github.com/ClickHouse/ClickHouse.git
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223 lines
7.1 KiB
C++
223 lines
7.1 KiB
C++
#pragma once
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#include <IO/WriteHelpers.h>
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#include <IO/ReadHelpers.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeString.h>
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#include <Columns/ColumnArray.h>
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#include <Common/SpaceSaving.h>
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#include <Common/FieldVisitors.h>
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#include <Common/assert_cast.h>
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#include <AggregateFunctions/IAggregateFunction.h>
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namespace DB
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{
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template <typename T>
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struct AggregateFunctionTopKData
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{
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using Set = SpaceSaving<T, HashCRC32<T>>;
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Set value;
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};
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template <typename T, bool is_weighted>
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class AggregateFunctionTopK
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: public IAggregateFunctionDataHelper<AggregateFunctionTopKData<T>, AggregateFunctionTopK<T, is_weighted>>
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{
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protected:
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using State = AggregateFunctionTopKData<T>;
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UInt64 threshold;
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UInt64 reserved;
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public:
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AggregateFunctionTopK(UInt64 threshold_, UInt64 load_factor, const DataTypes & argument_types_, const Array & params)
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: IAggregateFunctionDataHelper<AggregateFunctionTopKData<T>, AggregateFunctionTopK<T, is_weighted>>(argument_types_, params)
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, threshold(threshold_), reserved(load_factor * threshold) {}
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String getName() const override { return is_weighted ? "topKWeighted" : "topK"; }
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DataTypePtr getReturnType() const override
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{
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return std::make_shared<DataTypeArray>(std::make_shared<DataTypeNumber<T>>());
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}
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void add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena *) const override
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{
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auto & set = this->data(place).value;
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if (set.capacity() != reserved)
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set.resize(reserved);
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if constexpr (is_weighted)
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set.insert(assert_cast<const ColumnVector<T> &>(*columns[0]).getData()[row_num], columns[1]->getUInt(row_num));
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else
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set.insert(assert_cast<const ColumnVector<T> &>(*columns[0]).getData()[row_num]);
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}
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void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena *) const override
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{
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this->data(place).value.merge(this->data(rhs).value);
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}
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void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
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{
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this->data(place).value.write(buf);
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}
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void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena *) const override
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{
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auto & set = this->data(place).value;
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set.resize(reserved);
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set.read(buf);
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}
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void insertResultInto(AggregateDataPtr place, IColumn & to, Arena *) const override
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{
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ColumnArray & arr_to = assert_cast<ColumnArray &>(to);
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ColumnArray::Offsets & offsets_to = arr_to.getOffsets();
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const typename State::Set & set = this->data(place).value;
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auto result_vec = set.topK(threshold);
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size_t size = result_vec.size();
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offsets_to.push_back(offsets_to.back() + size);
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typename ColumnVector<T>::Container & data_to = assert_cast<ColumnVector<T> &>(arr_to.getData()).getData();
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size_t old_size = data_to.size();
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data_to.resize(old_size + size);
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size_t i = 0;
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for (auto it = result_vec.begin(); it != result_vec.end(); ++it, ++i)
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data_to[old_size + i] = it->key;
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}
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};
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/// Generic implementation, it uses serialized representation as object descriptor.
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struct AggregateFunctionTopKGenericData
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{
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using Set = SpaceSaving<StringRef, StringRefHash>;
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Set value;
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};
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/** Template parameter with true value should be used for columns that store their elements in memory continuously.
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* For such columns topK() can be implemented more efficiently (especially for small numeric arrays).
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*/
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template <bool is_plain_column, bool is_weighted>
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class AggregateFunctionTopKGeneric : public IAggregateFunctionDataHelper<AggregateFunctionTopKGenericData, AggregateFunctionTopKGeneric<is_plain_column, is_weighted>>
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{
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private:
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using State = AggregateFunctionTopKGenericData;
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UInt64 threshold;
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UInt64 reserved;
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DataTypePtr & input_data_type;
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static void deserializeAndInsert(StringRef str, IColumn & data_to);
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public:
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AggregateFunctionTopKGeneric(
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UInt64 threshold_, UInt64 load_factor, const DataTypePtr & input_data_type_, const Array & params)
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: IAggregateFunctionDataHelper<AggregateFunctionTopKGenericData, AggregateFunctionTopKGeneric<is_plain_column, is_weighted>>({input_data_type_}, params)
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, threshold(threshold_), reserved(load_factor * threshold), input_data_type(this->argument_types[0]) {}
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String getName() const override { return is_weighted ? "topKWeighted" : "topK"; }
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DataTypePtr getReturnType() const override
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{
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return std::make_shared<DataTypeArray>(input_data_type);
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}
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bool allocatesMemoryInArena() const override
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{
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return true;
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}
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void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
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{
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this->data(place).value.write(buf);
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}
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void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena * arena) const override
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{
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auto & set = this->data(place).value;
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set.clear();
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set.resize(reserved);
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// Specialized here because there's no deserialiser for StringRef
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size_t size = 0;
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readVarUInt(size, buf);
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for (size_t i = 0; i < size; ++i)
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{
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auto ref = readStringBinaryInto(*arena, buf);
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UInt64 count;
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UInt64 error;
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readVarUInt(count, buf);
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readVarUInt(error, buf);
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set.insert(ref, count, error);
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arena->rollback(ref.size);
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}
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set.readAlphaMap(buf);
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}
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void add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena * arena) const override
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{
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auto & set = this->data(place).value;
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if (set.capacity() != reserved)
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set.resize(reserved);
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if constexpr (is_plain_column)
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{
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if constexpr (is_weighted)
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set.insert(columns[0]->getDataAt(row_num), columns[1]->getUInt(row_num));
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else
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set.insert(columns[0]->getDataAt(row_num));
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}
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else
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{
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const char * begin = nullptr;
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StringRef str_serialized = columns[0]->serializeValueIntoArena(row_num, *arena, begin);
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if constexpr (is_weighted)
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set.insert(str_serialized, columns[1]->getUInt(row_num));
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else
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set.insert(str_serialized);
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arena->rollback(str_serialized.size);
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}
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}
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void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena *) const override
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{
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this->data(place).value.merge(this->data(rhs).value);
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}
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void insertResultInto(AggregateDataPtr place, IColumn & to, Arena *) const override
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{
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ColumnArray & arr_to = assert_cast<ColumnArray &>(to);
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ColumnArray::Offsets & offsets_to = arr_to.getOffsets();
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IColumn & data_to = arr_to.getData();
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auto result_vec = this->data(place).value.topK(threshold);
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offsets_to.push_back(offsets_to.back() + result_vec.size());
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for (auto & elem : result_vec)
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{
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if constexpr (is_plain_column)
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data_to.insertData(elem.key.data, elem.key.size);
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else
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data_to.deserializeAndInsertFromArena(elem.key.data);
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}
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}
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};
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}
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