mirror of
https://github.com/ClickHouse/ClickHouse.git
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304 lines
8.2 KiB
C++
304 lines
8.2 KiB
C++
#pragma once
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#include <city.h>
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#include <type_traits>
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#include <ext/bit_cast.h>
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#include <IO/WriteHelpers.h>
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#include <IO/ReadHelpers.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <Interpreters/AggregationCommon.h>
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#include <Common/HashTable/HashSet.h>
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#include <Common/HyperLogLogWithSmallSetOptimization.h>
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#include <Common/CombinedCardinalityEstimator.h>
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#include <Common/typeid_cast.h>
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#include <Common/assert_cast.h>
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#include <AggregateFunctions/UniquesHashSet.h>
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#include <AggregateFunctions/IAggregateFunction.h>
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#include <AggregateFunctions/UniqVariadicHash.h>
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namespace DB
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{
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/// uniq
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struct AggregateFunctionUniqUniquesHashSetData
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{
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using Set = UniquesHashSet<DefaultHash<UInt64>>;
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Set set;
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static String getName() { return "uniq"; }
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};
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/// For a function that takes multiple arguments. Such a function pre-hashes them in advance, so TrivialHash is used here.
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struct AggregateFunctionUniqUniquesHashSetDataForVariadic
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{
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using Set = UniquesHashSet<TrivialHash>;
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Set set;
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static String getName() { return "uniq"; }
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};
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/// uniqHLL12
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template <typename T>
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struct AggregateFunctionUniqHLL12Data
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{
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using Set = HyperLogLogWithSmallSetOptimization<T, 16, 12>;
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Set set;
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static String getName() { return "uniqHLL12"; }
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};
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template <>
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struct AggregateFunctionUniqHLL12Data<String>
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{
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using Set = HyperLogLogWithSmallSetOptimization<UInt64, 16, 12>;
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Set set;
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static String getName() { return "uniqHLL12"; }
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};
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template <>
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struct AggregateFunctionUniqHLL12Data<UInt128>
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{
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using Set = HyperLogLogWithSmallSetOptimization<UInt64, 16, 12>;
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Set set;
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static String getName() { return "uniqHLL12"; }
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};
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struct AggregateFunctionUniqHLL12DataForVariadic
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{
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using Set = HyperLogLogWithSmallSetOptimization<UInt64, 16, 12, TrivialHash>;
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Set set;
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static String getName() { return "uniqHLL12"; }
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};
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/// uniqExact
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template <typename T>
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struct AggregateFunctionUniqExactData
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{
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using Key = T;
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/// When creating, the hash table must be small.
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using Set = HashSet<
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Key,
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HashCRC32<Key>,
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HashTableGrower<4>,
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HashTableAllocatorWithStackMemory<sizeof(Key) * (1 << 4)>>;
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Set set;
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static String getName() { return "uniqExact"; }
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};
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/// For rows, we put the SipHash values (128 bits) into the hash table.
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template <>
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struct AggregateFunctionUniqExactData<String>
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{
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using Key = UInt128;
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/// When creating, the hash table must be small.
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using Set = HashSet<
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Key,
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UInt128TrivialHash,
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HashTableGrower<3>,
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HashTableAllocatorWithStackMemory<sizeof(Key) * (1 << 3)>>;
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Set set;
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static String getName() { return "uniqExact"; }
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};
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namespace detail
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{
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/** Hash function for uniq.
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*/
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template <typename T> struct AggregateFunctionUniqTraits
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{
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static UInt64 hash(T x) { return x; }
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};
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template <> struct AggregateFunctionUniqTraits<UInt128>
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{
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static UInt64 hash(UInt128 x)
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{
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return sipHash64(x);
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}
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};
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template <> struct AggregateFunctionUniqTraits<Float32>
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{
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static UInt64 hash(Float32 x)
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{
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return ext::bit_cast<UInt64>(x);
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}
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};
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template <> struct AggregateFunctionUniqTraits<Float64>
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{
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static UInt64 hash(Float64 x)
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{
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return ext::bit_cast<UInt64>(x);
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}
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};
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/** The structure for the delegation work to add one element to the `uniq` aggregate functions.
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* Used for partial specialization to add strings.
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*/
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template <typename T, typename Data>
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struct OneAdder
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{
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static void ALWAYS_INLINE add(Data & data, const IColumn & column, size_t row_num)
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{
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if constexpr (std::is_same_v<Data, AggregateFunctionUniqUniquesHashSetData>
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|| std::is_same_v<Data, AggregateFunctionUniqHLL12Data<T>>)
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{
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if constexpr (!std::is_same_v<T, String>)
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{
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const auto & value = assert_cast<const ColumnVector<T> &>(column).getElement(row_num);
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data.set.insert(AggregateFunctionUniqTraits<T>::hash(value));
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}
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else
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{
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StringRef value = column.getDataAt(row_num);
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data.set.insert(CityHash_v1_0_2::CityHash64(value.data, value.size));
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}
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}
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else if constexpr (std::is_same_v<Data, AggregateFunctionUniqExactData<T>>)
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{
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if constexpr (!std::is_same_v<T, String>)
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{
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data.set.insert(assert_cast<const ColumnVector<T> &>(column).getData()[row_num]);
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}
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else
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{
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StringRef value = column.getDataAt(row_num);
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UInt128 key;
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SipHash hash;
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hash.update(value.data, value.size);
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hash.get128(key.low, key.high);
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data.set.insert(key);
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}
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}
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}
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};
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}
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/// Calculates the number of different values approximately or exactly.
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template <typename T, typename Data>
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class AggregateFunctionUniq final : public IAggregateFunctionDataHelper<Data, AggregateFunctionUniq<T, Data>>
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{
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public:
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AggregateFunctionUniq(const DataTypes & argument_types_)
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: IAggregateFunctionDataHelper<Data, AggregateFunctionUniq<T, Data>>(argument_types_, {}) {}
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String getName() const override { return Data::getName(); }
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DataTypePtr getReturnType() const override
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{
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return std::make_shared<DataTypeUInt64>();
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}
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/// ALWAYS_INLINE is required to have better code layout for uniqHLL12 function
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void ALWAYS_INLINE add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena *) const override
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{
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detail::OneAdder<T, Data>::add(this->data(place), *columns[0], 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).set.merge(this->data(rhs).set);
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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).set.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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this->data(place).set.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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assert_cast<ColumnUInt64 &>(to).getData().push_back(this->data(place).set.size());
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}
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};
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/** For multiple arguments. To compute, hashes them.
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* You can pass multiple arguments as is; You can also pass one argument - a tuple.
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* But (for the possibility of efficient implementation), you can not pass several arguments, among which there are tuples.
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*/
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template <typename Data, bool is_exact, bool argument_is_tuple>
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class AggregateFunctionUniqVariadic final : public IAggregateFunctionDataHelper<Data, AggregateFunctionUniqVariadic<Data, is_exact, argument_is_tuple>>
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{
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private:
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size_t num_args = 0;
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public:
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AggregateFunctionUniqVariadic(const DataTypes & arguments)
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: IAggregateFunctionDataHelper<Data, AggregateFunctionUniqVariadic<Data, is_exact, argument_is_tuple>>(arguments, {})
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{
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if (argument_is_tuple)
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num_args = typeid_cast<const DataTypeTuple &>(*arguments[0]).getElements().size();
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else
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num_args = arguments.size();
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}
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String getName() const override { return Data::getName(); }
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DataTypePtr getReturnType() const override
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{
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return std::make_shared<DataTypeUInt64>();
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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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this->data(place).set.insert(typename Data::Set::value_type(UniqVariadicHash<is_exact, argument_is_tuple>::apply(num_args, columns, 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).set.merge(this->data(rhs).set);
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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).set.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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this->data(place).set.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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assert_cast<ColumnUInt64 &>(to).getData().push_back(this->data(place).set.size());
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}
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};
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}
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