mirror of
https://github.com/ClickHouse/ClickHouse.git
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361 lines
13 KiB
C++
361 lines
13 KiB
C++
#include <AggregateFunctions/AggregateFunctionFactory.h>
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#include <AggregateFunctions/Helpers.h>
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#include <Common/FieldVisitorConvertToNumber.h>
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#include <DataTypes/DataTypeDate.h>
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#include <DataTypes/DataTypeDate32.h>
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#include <DataTypes/DataTypeDateTime.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/IAggregateFunction.h>
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#include <AggregateFunctions/UniqVariadicHash.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypeUUID.h>
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#include <Columns/ColumnsNumber.h>
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#include <IO/ReadHelpers.h>
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#include <IO/WriteHelpers.h>
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namespace DB
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{
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struct Settings;
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namespace ErrorCodes
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{
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extern const int NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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extern const int ARGUMENT_OUT_OF_BOUND;
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}
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namespace
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{
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/** Counts the number of unique values up to no more than specified in the parameter.
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*
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* Example: uniqUpTo(3)(UserID)
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* - will count the number of unique visitors, return 1, 2, 3 or 4 if visitors > = 4.
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*
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* For strings, a non-cryptographic hash function is used, due to which the calculation may be a bit inaccurate.
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*/
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template <typename T>
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struct AggregateFunctionUniqUpToData
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{
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/** If count == threshold + 1 - this means that it is "overflowed" (values greater than threshold).
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* In this case (for example, after calling the merge function), the `data` array does not necessarily contain the initialized values
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* - example: combine a state in which there are few values, with another state that has overflowed;
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* then set count to `threshold + 1`, and values from another state are not copied.
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*/
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UInt8 count = 0;
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char data_ptr[0];
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T load(size_t i) const
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{
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return unalignedLoad<T>(data_ptr + i * sizeof(T));
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}
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void store(size_t i, const T & x)
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{
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unalignedStore<T>(data_ptr + i * sizeof(T), x);
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}
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size_t size() const
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{
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return count;
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}
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/// threshold - for how many elements there is room in a `data`.
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE insert(T x, UInt8 threshold)
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{
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/// The state is already full - nothing needs to be done.
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if (count > threshold)
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return;
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/// Linear search for the matching element.
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for (size_t i = 0; i < count; ++i)
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if (load(i) == x)
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return;
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/// Did not find the matching element. If there is room for one more element, insert it.
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if (count < threshold)
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store(count, x);
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/// After increasing count, the state may be overflowed.
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++count;
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}
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void merge(const AggregateFunctionUniqUpToData<T> & rhs, UInt8 threshold)
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{
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if (count > threshold)
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return;
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if (rhs.count > threshold)
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{
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/// If `rhs` is overflowed, then set `count` too also overflowed for the current state.
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count = rhs.count;
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return;
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}
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for (size_t i = 0; i < rhs.count; ++i)
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insert(rhs.load(i), threshold);
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}
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void write(WriteBuffer & wb, UInt8 threshold) const
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{
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writeBinary(count, wb);
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/// Write values only if the state is not overflowed. Otherwise, they are not needed, and only the fact that the state is overflowed is important.
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if (count <= threshold)
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wb.write(data_ptr, count * sizeof(T));
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}
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void read(ReadBuffer & rb, UInt8 threshold)
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{
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readBinary(count, rb);
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if (count <= threshold)
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rb.readStrict(data_ptr, count * sizeof(T));
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}
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold)
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{
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insert(assert_cast<const ColumnVector<T> &>(column).getData()[row_num], threshold);
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}
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};
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/// For strings, their hashes are remembered.
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template <>
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struct AggregateFunctionUniqUpToData<String> : AggregateFunctionUniqUpToData<UInt64>
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{
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold)
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{
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/// Keep in mind that calculations are approximate.
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StringRef value = column.getDataAt(row_num);
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insert(CityHash_v1_0_2::CityHash64(value.data, value.size), threshold);
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}
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};
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template <>
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struct AggregateFunctionUniqUpToData<UInt128> : AggregateFunctionUniqUpToData<UInt64>
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{
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold)
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{
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UInt128 value = assert_cast<const ColumnVector<UInt128> &>(column).getData()[row_num];
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insert(sipHash64(value), threshold);
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}
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};
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template <>
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struct AggregateFunctionUniqUpToData<UInt256> : AggregateFunctionUniqUpToData<UInt64>
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{
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold)
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{
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UInt256 value = assert_cast<const ColumnVector<UInt256> &>(column).getData()[row_num];
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insert(sipHash64(value), threshold);
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}
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};
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template <>
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struct AggregateFunctionUniqUpToData<Int256> : AggregateFunctionUniqUpToData<UInt64>
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{
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE add(const IColumn & column, size_t row_num, UInt8 threshold)
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{
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Int256 value = assert_cast<const ColumnVector<Int256> &>(column).getData()[row_num];
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insert(sipHash64(value), threshold);
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}
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};
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template <typename T>
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class AggregateFunctionUniqUpTo final : public IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<T>, AggregateFunctionUniqUpTo<T>>
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{
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private:
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UInt8 threshold;
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public:
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AggregateFunctionUniqUpTo(UInt8 threshold_, const DataTypes & argument_types_, const Array & params_)
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: IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<T>, AggregateFunctionUniqUpTo<T>>(argument_types_, params_, std::make_shared<DataTypeUInt64>())
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, threshold(threshold_)
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{
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}
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size_t sizeOfData() const override
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{
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return sizeof(AggregateFunctionUniqUpToData<T>) + sizeof(T) * threshold;
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}
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String getName() const override { return "uniqUpTo"; }
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bool allocatesMemoryInArena() const override { return false; }
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/// ALWAYS_INLINE is required to have better code layout for uniqUpTo function
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void ALWAYS_INLINE add(AggregateDataPtr __restrict place, const IColumn ** columns, size_t row_num, Arena *) const override
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{
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this->data(place).add(*columns[0], row_num, threshold);
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}
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void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs, Arena *) const override
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{
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this->data(place).merge(this->data(rhs), threshold);
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}
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void serialize(ConstAggregateDataPtr __restrict place, WriteBuffer & buf, std::optional<size_t> /* version */) const override
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{
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this->data(place).write(buf, threshold);
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}
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void deserialize(AggregateDataPtr __restrict place, ReadBuffer & buf, std::optional<size_t> /* version */, Arena *) const override
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{
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this->data(place).read(buf, threshold);
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}
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void insertResultInto(AggregateDataPtr __restrict place, IColumn & to, Arena *) const override
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{
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assert_cast<ColumnUInt64 &>(to).getData().push_back(this->data(place).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 effective implementation), you can not pass several arguments, among which there are tuples.
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*/
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template <bool is_exact, bool argument_is_tuple>
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class AggregateFunctionUniqUpToVariadic final
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: public IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<UInt64>, AggregateFunctionUniqUpToVariadic<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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UInt8 threshold;
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public:
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AggregateFunctionUniqUpToVariadic(const DataTypes & arguments, const Array & params, UInt8 threshold_)
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: IAggregateFunctionDataHelper<AggregateFunctionUniqUpToData<UInt64>, AggregateFunctionUniqUpToVariadic<is_exact, argument_is_tuple>>(arguments, params, std::make_shared<DataTypeUInt64>())
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, threshold(threshold_)
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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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size_t sizeOfData() const override
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{
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return sizeof(AggregateFunctionUniqUpToData<UInt64>) + sizeof(UInt64) * threshold;
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}
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String getName() const override { return "uniqUpTo"; }
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bool allocatesMemoryInArena() const override { return false; }
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void add(AggregateDataPtr __restrict place, const IColumn ** columns, size_t row_num, Arena *) const override
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{
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this->data(place).insert(UInt64(UniqVariadicHash<is_exact, argument_is_tuple>::apply(num_args, columns, row_num)), threshold);
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}
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void merge(AggregateDataPtr __restrict place, ConstAggregateDataPtr rhs, Arena *) const override
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{
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this->data(place).merge(this->data(rhs), threshold);
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}
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void serialize(ConstAggregateDataPtr __restrict place, WriteBuffer & buf, std::optional<size_t> /* version */) const override
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{
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this->data(place).write(buf, threshold);
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}
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void deserialize(AggregateDataPtr __restrict place, ReadBuffer & buf, std::optional<size_t> /* version */, Arena *) const override
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{
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this->data(place).read(buf, threshold);
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}
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void insertResultInto(AggregateDataPtr __restrict place, IColumn & to, Arena *) const override
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{
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assert_cast<ColumnUInt64 &>(to).getData().push_back(this->data(place).size());
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}
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};
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constexpr UInt8 uniq_upto_max_threshold = 100;
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AggregateFunctionPtr createAggregateFunctionUniqUpTo(const std::string & name, const DataTypes & argument_types, const Array & params, const Settings *)
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{
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UInt8 threshold = 5; /// default value
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if (!params.empty())
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{
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if (params.size() != 1)
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throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "Aggregate function {} requires one parameter or less.", name);
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UInt64 threshold_param = applyVisitor(FieldVisitorConvertToNumber<UInt64>(), params[0]);
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if (threshold_param > uniq_upto_max_threshold)
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throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND, "Too large parameter for aggregate function {}. Maximum: {}",
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name, toString(uniq_upto_max_threshold));
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threshold = threshold_param;
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}
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if (argument_types.empty())
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throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH,
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"Incorrect number of arguments for aggregate function {}", name);
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bool use_exact_hash_function = !isAllArgumentsContiguousInMemory(argument_types);
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if (argument_types.size() == 1)
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{
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const IDataType & argument_type = *argument_types[0];
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AggregateFunctionPtr res(createWithNumericType<AggregateFunctionUniqUpTo>(*argument_types[0], threshold, argument_types, params));
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WhichDataType which(argument_type);
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if (res)
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return res;
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else if (which.isDate())
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return std::make_shared<AggregateFunctionUniqUpTo<DataTypeDate::FieldType>>(threshold, argument_types, params);
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else if (which.isDate32())
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return std::make_shared<AggregateFunctionUniqUpTo<DataTypeDate32::FieldType>>(threshold, argument_types, params);
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else if (which.isDateTime())
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return std::make_shared<AggregateFunctionUniqUpTo<DataTypeDateTime::FieldType>>(threshold, argument_types, params);
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else if (which.isStringOrFixedString())
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return std::make_shared<AggregateFunctionUniqUpTo<String>>(threshold, argument_types, params);
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else if (which.isUUID())
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return std::make_shared<AggregateFunctionUniqUpTo<DataTypeUUID::FieldType>>(threshold, argument_types, params);
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else if (which.isTuple())
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{
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if (use_exact_hash_function)
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return std::make_shared<AggregateFunctionUniqUpToVariadic<true, true>>(argument_types, params, threshold);
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else
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return std::make_shared<AggregateFunctionUniqUpToVariadic<false, true>>(argument_types, params, threshold);
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}
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}
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/// "Variadic" method also works as a fallback generic case for single argument.
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if (use_exact_hash_function)
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return std::make_shared<AggregateFunctionUniqUpToVariadic<true, false>>(argument_types, params, threshold);
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else
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return std::make_shared<AggregateFunctionUniqUpToVariadic<false, false>>(argument_types, params, threshold);
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}
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}
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void registerAggregateFunctionUniqUpTo(AggregateFunctionFactory & factory)
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{
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factory.registerFunction("uniqUpTo", {createAggregateFunctionUniqUpTo, {true}});
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}
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}
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