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302 lines
9.5 KiB
C++
302 lines
9.5 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/HashTable/HashSet.h>
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#include <AggregateFunctions/IAggregateFunction.h>
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#define AGGREGATE_FUNCTION_GROUP_ARRAY_UNIQ_MAX_SIZE 0xFFFFFF
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namespace DB
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{
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template <typename T>
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struct AggregateFunctionGroupUniqArrayData
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{
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/// When creating, the hash table must be small.
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using Set = HashSet<
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T,
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DefaultHash<T>,
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HashTableGrower<4>,
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HashTableAllocatorWithStackMemory<sizeof(T) * (1 << 4)>
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>;
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Set value;
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};
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/// Puts all values to the hash set. Returns an array of unique values. Implemented for numeric types.
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template <typename T, typename Tlimit_num_elem>
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class AggregateFunctionGroupUniqArray
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: public IAggregateFunctionDataHelper<AggregateFunctionGroupUniqArrayData<T>, AggregateFunctionGroupUniqArray<T, Tlimit_num_elem>>
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{
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static constexpr bool limit_num_elems = Tlimit_num_elem::value;
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UInt64 max_elems;
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private:
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using State = AggregateFunctionGroupUniqArrayData<T>;
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public:
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AggregateFunctionGroupUniqArray(const DataTypePtr & argument_type, UInt64 max_elems_ = std::numeric_limits<UInt64>::max())
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: IAggregateFunctionDataHelper<AggregateFunctionGroupUniqArrayData<T>,
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AggregateFunctionGroupUniqArray<T, Tlimit_num_elem>>({argument_type}, {}),
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max_elems(max_elems_) {}
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String getName() const override { return "groupUniqArray"; }
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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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if (limit_num_elems && this->data(place).value.size() >= max_elems)
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return;
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this->data(place).value.insert(static_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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if (!limit_num_elems)
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this->data(place).value.merge(this->data(rhs).value);
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else
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{
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auto & cur_set = this->data(place).value;
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auto & rhs_set = this->data(rhs).value;
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for (auto & rhs_elem : rhs_set)
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{
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if (cur_set.size() >= max_elems)
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return;
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cur_set.insert(rhs_elem.getValue());
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}
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}
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}
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void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
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{
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auto & set = this->data(place).value;
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size_t size = set.size();
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writeVarUInt(size, buf);
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for (auto & elem : set)
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writeIntBinary(elem, 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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this->data(place).value.read(buf);
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}
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void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override
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{
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ColumnArray & arr_to = static_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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size_t size = set.size();
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offsets_to.push_back(offsets_to.back() + size);
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typename ColumnVector<T>::Container & data_to = static_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 = set.begin(); it != set.end(); ++it, ++i)
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data_to[old_size + i] = it->getValue();
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}
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const char * getHeaderFilePath() const override { return __FILE__; }
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};
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/// Generic implementation, it uses serialized representation as object descriptor.
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struct AggregateFunctionGroupUniqArrayGenericData
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{
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static constexpr size_t INIT_ELEMS = 2; /// adjustable
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static constexpr size_t ELEM_SIZE = sizeof(HashSetCellWithSavedHash<StringRef, StringRefHash>);
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using Set = HashSetWithSavedHash<StringRef, StringRefHash, HashTableGrower<INIT_ELEMS>, HashTableAllocatorWithStackMemory<INIT_ELEMS * ELEM_SIZE>>;
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Set value;
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};
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/// Helper function for deserialize and insert for the class AggregateFunctionGroupUniqArrayGeneric
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template <bool is_plain_column>
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static StringRef getSerializationImpl(const IColumn & column, size_t row_num, Arena & arena);
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template <bool is_plain_column>
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static void deserializeAndInsertImpl(StringRef str, IColumn & data_to);
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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 groupUniqArray() can be implemented more efficiently (especially for small numeric arrays).
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*/
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template <bool is_plain_column = false, typename Tlimit_num_elem = std::false_type>
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class AggregateFunctionGroupUniqArrayGeneric
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: public IAggregateFunctionDataHelper<AggregateFunctionGroupUniqArrayGenericData, AggregateFunctionGroupUniqArrayGeneric<is_plain_column, Tlimit_num_elem>>
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{
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DataTypePtr & input_data_type;
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static constexpr bool limit_num_elems = Tlimit_num_elem::value;
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UInt64 max_elems;
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using State = AggregateFunctionGroupUniqArrayGenericData;
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static StringRef getSerialization(const IColumn & column, size_t row_num, Arena & arena)
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{
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return getSerializationImpl<is_plain_column>(column, row_num, arena);
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}
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static void deserializeAndInsert(StringRef str, IColumn & data_to)
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{
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return deserializeAndInsertImpl<is_plain_column>(str, data_to);
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}
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public:
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AggregateFunctionGroupUniqArrayGeneric(const DataTypePtr & input_data_type, UInt64 max_elems_ = std::numeric_limits<UInt64>::max())
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: IAggregateFunctionDataHelper<AggregateFunctionGroupUniqArrayGenericData, AggregateFunctionGroupUniqArrayGeneric<is_plain_column, Tlimit_num_elem>>({input_data_type}, {})
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, input_data_type(this->argument_types[0])
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, max_elems(max_elems_) {}
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String getName() const override { return "groupUniqArray"; }
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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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auto & set = this->data(place).value;
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writeVarUInt(set.size(), buf);
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for (const auto & elem : set)
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{
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writeStringBinary(elem.getValue(), buf);
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}
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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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size_t size;
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readVarUInt(size, buf);
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//TODO: set.reserve(size);
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for (size_t i = 0; i < size; ++i)
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{
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set.insert(readStringBinaryInto(*arena, buf));
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}
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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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bool inserted;
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State::Set::iterator it;
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if (limit_num_elems && set.size() >= max_elems)
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return;
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StringRef str_serialized = getSerialization(*columns[0], row_num, *arena);
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set.emplace(str_serialized, it, inserted);
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if constexpr (!is_plain_column)
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{
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if (!inserted)
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arena->rollback(str_serialized.size);
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}
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else
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{
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if (inserted)
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it->getValueMutable().data = arena->insert(str_serialized.data, str_serialized.size);
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}
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}
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void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena * arena) const override
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{
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auto & cur_set = this->data(place).value;
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auto & rhs_set = this->data(rhs).value;
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bool inserted;
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State::Set::iterator it;
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for (auto & rhs_elem : rhs_set)
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{
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if (limit_num_elems && cur_set.size() >= max_elems)
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return ;
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cur_set.emplace(rhs_elem.getValue(), it, inserted);
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if (inserted)
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{
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if (it->getValue().size)
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it->getValueMutable().data = arena->insert(it->getValue().data, it->getValue().size);
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else
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it->getValueMutable().data = nullptr;
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}
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}
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}
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void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override
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{
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ColumnArray & arr_to = static_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 & set = this->data(place).value;
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offsets_to.push_back(offsets_to.back() + set.size());
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for (auto & elem : set)
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{
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deserializeAndInsert(elem.getValue(), data_to);
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}
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}
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const char * getHeaderFilePath() const override { return __FILE__; }
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};
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template <>
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inline StringRef getSerializationImpl<false>(const IColumn & column, size_t row_num, Arena & arena)
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{
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const char * begin = nullptr;
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return column.serializeValueIntoArena(row_num, arena, begin);
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}
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template <>
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inline StringRef getSerializationImpl<true>(const IColumn & column, size_t row_num, Arena &)
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{
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return column.getDataAt(row_num);
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}
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template <>
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inline void deserializeAndInsertImpl<false>(StringRef str, IColumn & data_to)
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{
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data_to.deserializeAndInsertFromArena(str.data);
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}
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template <>
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inline void deserializeAndInsertImpl<true>(StringRef str, IColumn & data_to)
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{
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data_to.insertData(str.data, str.size);
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}
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#undef AGGREGATE_FUNCTION_GROUP_ARRAY_UNIQ_MAX_SIZE
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}
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