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594 lines
20 KiB
C++
594 lines
20 KiB
C++
#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionsLogical.h>
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#include <Columns/IColumn.h>
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#include <Columns/ColumnVector.h>
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#include <Columns/ColumnsNumber.h>
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#include <Columns/ColumnConst.h>
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#include <Columns/ColumnNullable.h>
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#include <Common/FieldVisitors.h>
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#include <Common/typeid_cast.h>
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#include <DataTypes/DataTypeNullable.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <Functions/FunctionHelpers.h>
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#include <algorithm>
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namespace DB
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{
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void registerFunctionsLogical(FunctionFactory & factory)
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{
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factory.registerFunction<FunctionAnd>();
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factory.registerFunction<FunctionOr>();
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factory.registerFunction<FunctionXor>();
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factory.registerFunction<FunctionNot>();
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}
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namespace ErrorCodes
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{
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extern const int LOGICAL_ERROR;
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int TOO_FEW_ARGUMENTS_FOR_FUNCTION;
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extern const int ILLEGAL_COLUMN;
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}
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namespace
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{
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using namespace FunctionsLogicalDetail;
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using UInt8Container = ColumnUInt8::Container;
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using UInt8ColumnPtrs = std::vector<const ColumnUInt8 *>;
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MutableColumnPtr convertFromTernaryData(const UInt8Container & ternary_data, const bool make_nullable)
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{
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const size_t rows_count = ternary_data.size();
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auto new_column = ColumnUInt8::create(rows_count);
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std::transform(
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ternary_data.cbegin(), ternary_data.cend(), new_column->getData().begin(),
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[](const auto x) { return x == Ternary::True; });
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if (!make_nullable)
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return new_column;
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auto null_column = ColumnUInt8::create(rows_count);
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std::transform(
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ternary_data.cbegin(), ternary_data.cend(), null_column->getData().begin(),
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[](const auto x) { return x == Ternary::Null; });
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return ColumnNullable::create(std::move(new_column), std::move(null_column));
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}
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template <typename T>
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bool tryConvertColumnToUInt8(const IColumn * column, UInt8Container & res)
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{
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const auto col = checkAndGetColumn<ColumnVector<T>>(column);
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if (!col)
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return false;
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std::transform(
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col->getData().cbegin(), col->getData().cend(), res.begin(),
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[](const auto x) { return x != 0; });
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return true;
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}
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void convertColumnToUInt8(const IColumn * column, UInt8Container & res)
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{
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if (!tryConvertColumnToUInt8<Int8>(column, res) &&
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!tryConvertColumnToUInt8<Int16>(column, res) &&
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!tryConvertColumnToUInt8<Int32>(column, res) &&
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!tryConvertColumnToUInt8<Int64>(column, res) &&
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!tryConvertColumnToUInt8<UInt16>(column, res) &&
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!tryConvertColumnToUInt8<UInt32>(column, res) &&
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!tryConvertColumnToUInt8<UInt64>(column, res) &&
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!tryConvertColumnToUInt8<Float32>(column, res) &&
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!tryConvertColumnToUInt8<Float64>(column, res))
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throw Exception("Unexpected type of column: " + column->getName(), ErrorCodes::ILLEGAL_COLUMN);
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}
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template <class Op, typename Func>
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static bool extractConstColumns(ColumnRawPtrs & in, UInt8 & res, Func && func)
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{
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bool has_res = false;
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for (int i = static_cast<int>(in.size()) - 1; i >= 0; --i)
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{
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if (!isColumnConst(*in[i]))
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continue;
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UInt8 x = func((*in[i])[0]);
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if (has_res)
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{
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res = Op::apply(res, x);
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}
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else
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{
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res = x;
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has_res = true;
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}
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in.erase(in.begin() + i);
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}
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return has_res;
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}
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template <class Op>
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inline bool extractConstColumns(ColumnRawPtrs & in, UInt8 & res)
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{
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return extractConstColumns<Op>(
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in, res,
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[](const Field & value)
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{
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return !value.isNull() && applyVisitor(FieldVisitorConvertToNumber<bool>(), value);
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}
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);
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}
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template <class Op>
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inline bool extractConstColumnsTernary(ColumnRawPtrs & in, UInt8 & res_3v)
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{
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return extractConstColumns<Op>(
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in, res_3v,
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[](const Field & value)
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{
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return value.isNull()
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? Ternary::makeValue(false, true)
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: Ternary::makeValue(applyVisitor(FieldVisitorConvertToNumber<bool>(), value));
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}
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);
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}
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template <typename Op, size_t N>
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class AssociativeApplierImpl
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{
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using ResultValueType = typename Op::ResultType;
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public:
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/// Remembers the last N columns from `in`.
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AssociativeApplierImpl(const UInt8ColumnPtrs & in)
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: vec(in[in.size() - N]->getData()), next(in) {}
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/// Returns a combination of values in the i-th row of all columns stored in the constructor.
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inline ResultValueType apply(const size_t i) const
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{
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const auto & a = vec[i];
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if constexpr (Op::isSaturable())
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return Op::isSaturatedValue(a) ? a : Op::apply(a, next.apply(i));
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else
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return Op::apply(a, next.apply(i));
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}
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private:
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const UInt8Container & vec;
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const AssociativeApplierImpl<Op, N - 1> next;
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};
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template <typename Op>
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class AssociativeApplierImpl<Op, 1>
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{
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using ResultValueType = typename Op::ResultType;
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public:
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AssociativeApplierImpl(const UInt8ColumnPtrs & in)
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: vec(in[in.size() - 1]->getData()) {}
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inline ResultValueType apply(const size_t i) const { return vec[i]; }
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private:
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const UInt8Container & vec;
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};
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/// A helper class used by AssociativeGenericApplierImpl
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/// Allows for on-the-fly conversion of any data type into intermediate ternary representation
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using ValueGetter = std::function<Ternary::ResultType (size_t)>;
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template <typename ... Types>
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struct ValueGetterBuilderImpl;
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template <typename Type, typename ...Types>
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struct ValueGetterBuilderImpl<Type, Types...>
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{
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static ValueGetter build(const IColumn * x)
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{
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if (const auto nullable_column = typeid_cast<const ColumnNullable *>(x))
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{
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if (const auto nested_column = typeid_cast<const ColumnVector<Type> *>(nullable_column->getNestedColumnPtr().get()))
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{
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return [&null_data = nullable_column->getNullMapData(), &column_data = nested_column->getData()](size_t i)
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{ return Ternary::makeValue(column_data[i], null_data[i]); };
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}
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else
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return ValueGetterBuilderImpl<Types...>::build(x);
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}
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else if (const auto column = typeid_cast<const ColumnVector<Type> *>(x))
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return [&column_data = column->getData()](size_t i) { return Ternary::makeValue(column_data[i]); };
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else
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return ValueGetterBuilderImpl<Types...>::build(x);
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}
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};
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template <>
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struct ValueGetterBuilderImpl<>
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{
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static ValueGetter build(const IColumn * x)
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{
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throw Exception(
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std::string("Unknown numeric column of type: ") + demangle(typeid(x).name()),
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ErrorCodes::LOGICAL_ERROR);
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}
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};
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using ValueGetterBuilder =
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ValueGetterBuilderImpl<UInt8, UInt16, UInt32, UInt64, Int8, Int16, Int32, Int64, Float32, Float64>;
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/// This class together with helper class ValueGetterBuilder can be used with columns of arbitrary data type
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/// Allows for on-the-fly conversion of any type of data into intermediate ternary representation
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/// and eliminates the need to materialize data columns in intermediate representation
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template <typename Op, size_t N>
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class AssociativeGenericApplierImpl
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{
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using ResultValueType = typename Op::ResultType;
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public:
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/// Remembers the last N columns from `in`.
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AssociativeGenericApplierImpl(const ColumnRawPtrs & in)
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: val_getter{ValueGetterBuilder::build(in[in.size() - N])}, next{in} {}
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/// Returns a combination of values in the i-th row of all columns stored in the constructor.
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inline ResultValueType apply(const size_t i) const
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{
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const auto a = val_getter(i);
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if constexpr (Op::isSaturable())
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return Op::isSaturatedValue(a) ? a : Op::apply(a, next.apply(i));
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else
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return Op::apply(a, next.apply(i));
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}
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private:
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const ValueGetter val_getter;
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const AssociativeGenericApplierImpl<Op, N - 1> next;
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};
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template <typename Op>
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class AssociativeGenericApplierImpl<Op, 1>
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{
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using ResultValueType = typename Op::ResultType;
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public:
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/// Remembers the last N columns from `in`.
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AssociativeGenericApplierImpl(const ColumnRawPtrs & in)
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: val_getter{ValueGetterBuilder::build(in[in.size() - 1])} {}
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inline ResultValueType apply(const size_t i) const { return val_getter(i); }
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private:
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const ValueGetter val_getter;
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};
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/// Apply target function by feeding it "batches" of N columns
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/// Combining 10 columns per pass is the fastest for large block sizes.
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/// For small block sizes - more columns is faster.
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template <
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typename Op, template <typename, size_t> typename OperationApplierImpl, size_t N = 10>
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struct OperationApplier
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{
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template <typename Columns, typename ResultColumn>
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static void apply(Columns & in, ResultColumn & result)
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{
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while (in.size() > 1)
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{
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doBatchedApply(in, result->getData());
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in.push_back(result.get());
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}
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}
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template <typename Columns, typename ResultData>
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static void NO_INLINE doBatchedApply(Columns & in, ResultData & result_data)
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{
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if (N > in.size())
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{
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OperationApplier<Op, OperationApplierImpl, N - 1>::doBatchedApply(in, result_data);
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return;
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}
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const OperationApplierImpl<Op, N> operationApplierImpl(in);
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size_t i = 0;
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for (auto & res : result_data)
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res = operationApplierImpl.apply(i++);
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in.erase(in.end() - N, in.end());
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}
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};
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template <
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typename Op, template <typename, size_t> typename OperationApplierImpl>
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struct OperationApplier<Op, OperationApplierImpl, 1>
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{
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template <typename Columns, typename Result>
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static void NO_INLINE doBatchedApply(Columns &, Result &)
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{
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throw Exception(
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"OperationApplier<...>::apply(...): not enough arguments to run this method",
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ErrorCodes::LOGICAL_ERROR);
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}
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};
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template <class Op>
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static void executeForTernaryLogicImpl(ColumnRawPtrs arguments, ColumnWithTypeAndName & result_info, size_t input_rows_count)
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{
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/// Combine all constant columns into a single constant value.
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UInt8 const_3v_value = 0;
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const bool has_consts = extractConstColumnsTernary<Op>(arguments, const_3v_value);
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/// If the constant value uniquely determines the result, return it.
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if (has_consts && (arguments.empty() || (Op::isSaturable() && Op::isSaturatedValue(const_3v_value))))
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{
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result_info.column = ColumnConst::create(
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convertFromTernaryData(UInt8Container({const_3v_value}), result_info.type->isNullable()),
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input_rows_count
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);
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return;
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}
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const auto result_column = ColumnUInt8::create(input_rows_count);
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MutableColumnPtr const_column_holder;
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if (has_consts)
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{
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const_column_holder =
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convertFromTernaryData(UInt8Container(input_rows_count, const_3v_value), const_3v_value == Ternary::Null);
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arguments.push_back(const_column_holder.get());
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}
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OperationApplier<Op, AssociativeGenericApplierImpl>::apply(arguments, result_column);
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result_info.column = convertFromTernaryData(result_column->getData(), result_info.type->isNullable());
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}
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template <typename Op, typename ... Types>
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struct TypedExecutorInvoker;
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template <typename Op>
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using FastApplierImpl =
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TypedExecutorInvoker<Op, UInt8, UInt16, UInt32, UInt64, Int8, Int16, Int32, Int64, Float32, Float64>;
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template <typename Op, typename Type, typename ... Types>
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struct TypedExecutorInvoker<Op, Type, Types ...>
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{
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template <typename T, typename Result>
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static void apply(const ColumnVector<T> & x, const IColumn & y, Result & result)
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{
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if (const auto column = typeid_cast<const ColumnVector<Type> *>(&y))
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std::transform(
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x.getData().cbegin(), x.getData().cend(),
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column->getData().cbegin(), result.begin(),
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[](const auto a, const auto b) { return Op::apply(!!a, !!b); });
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else
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TypedExecutorInvoker<Op, Types ...>::template apply<T>(x, y, result);
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}
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template <typename Result>
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static void apply(const IColumn & x, const IColumn & y, Result & result)
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{
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if (const auto column = typeid_cast<const ColumnVector<Type> *>(&x))
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FastApplierImpl<Op>::template apply<Type>(*column, y, result);
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else
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TypedExecutorInvoker<Op, Types ...>::apply(x, y, result);
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}
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};
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template <typename Op>
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struct TypedExecutorInvoker<Op>
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{
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template <typename T, typename Result>
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static void apply(const ColumnVector<T> &, const IColumn & y, Result &)
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{
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throw Exception(std::string("Unknown numeric column y of type: ") + demangle(typeid(y).name()), ErrorCodes::LOGICAL_ERROR);
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}
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template <typename Result>
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static void apply(const IColumn & x, const IColumn &, Result &)
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{
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throw Exception(std::string("Unknown numeric column x of type: ") + demangle(typeid(x).name()), ErrorCodes::LOGICAL_ERROR);
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}
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};
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template <class Op>
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static void basicExecuteImpl(ColumnRawPtrs arguments, ColumnWithTypeAndName & result_info, size_t input_rows_count)
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{
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/// Combine all constant columns into a single constant value.
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UInt8 const_val = 0;
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bool has_consts = extractConstColumns<Op>(arguments, const_val);
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/// If the constant value uniquely determines the result, return it.
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if (has_consts && (arguments.empty() || Op::apply(const_val, 0) == Op::apply(const_val, 1)))
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{
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if (!arguments.empty())
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const_val = Op::apply(const_val, 0);
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result_info.column = DataTypeUInt8().createColumnConst(input_rows_count, toField(const_val));
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return;
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}
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/// If the constant value is a neutral element, let's forget about it.
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if (has_consts && Op::apply(const_val, 0) == 0 && Op::apply(const_val, 1) == 1)
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has_consts = false;
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UInt8ColumnPtrs uint8_args;
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auto col_res = ColumnUInt8::create();
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UInt8Container & vec_res = col_res->getData();
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if (has_consts)
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{
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vec_res.assign(input_rows_count, const_val);
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uint8_args.push_back(col_res.get());
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}
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else
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{
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vec_res.resize(input_rows_count);
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}
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/// FastPath detection goes in here
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if (arguments.size() == (has_consts ? 1 : 2))
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{
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if (has_consts)
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FastApplierImpl<Op>::apply(*arguments[0], *col_res, col_res->getData());
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else
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FastApplierImpl<Op>::apply(*arguments[0], *arguments[1], col_res->getData());
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result_info.column = std::move(col_res);
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return;
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}
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/// Convert all columns to UInt8
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Columns converted_columns;
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for (const IColumn * column : arguments)
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{
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if (auto uint8_column = checkAndGetColumn<ColumnUInt8>(column))
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uint8_args.push_back(uint8_column);
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else
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{
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auto converted_column = ColumnUInt8::create(input_rows_count);
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convertColumnToUInt8(column, converted_column->getData());
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uint8_args.push_back(converted_column.get());
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converted_columns.emplace_back(std::move(converted_column));
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}
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}
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OperationApplier<Op, AssociativeApplierImpl>::apply(uint8_args, col_res);
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/// This is possible if there is exactly one non-constant among the arguments, and it is of type UInt8.
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if (uint8_args[0] != col_res.get())
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vec_res.assign(uint8_args[0]->getData());
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result_info.column = std::move(col_res);
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}
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}
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template <typename Impl, typename Name>
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DataTypePtr FunctionAnyArityLogical<Impl, Name>::getReturnTypeImpl(const DataTypes & arguments) const
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{
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if (arguments.size() < 2)
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throw Exception("Number of arguments for function \"" + getName() + "\" should be at least 2: passed "
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+ toString(arguments.size()),
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ErrorCodes::TOO_FEW_ARGUMENTS_FOR_FUNCTION);
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bool has_nullable_arguments = false;
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for (size_t i = 0; i < arguments.size(); ++i)
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{
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const auto & arg_type = arguments[i];
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if (!has_nullable_arguments)
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{
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has_nullable_arguments = arg_type->isNullable();
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if (has_nullable_arguments && !Impl::specialImplementationForNulls())
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throw Exception("Logical error: Unexpected type of argument for function \"" + getName() + "\": "
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" argument " + toString(i + 1) + " is of type " + arg_type->getName(), ErrorCodes::LOGICAL_ERROR);
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}
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if (!(isNativeNumber(arg_type)
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|| (Impl::specialImplementationForNulls() && (arg_type->onlyNull() || isNativeNumber(removeNullable(arg_type))))))
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throw Exception("Illegal type ("
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+ arg_type->getName()
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+ ") of " + toString(i + 1) + " argument of function " + getName(),
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ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
}
|
|
|
|
auto result_type = std::make_shared<DataTypeUInt8>();
|
|
return has_nullable_arguments
|
|
? makeNullable(result_type)
|
|
: result_type;
|
|
}
|
|
|
|
template <typename Impl, typename Name>
|
|
void FunctionAnyArityLogical<Impl, Name>::executeImpl(Block & block, const ColumnNumbers & arguments, size_t result_index, size_t input_rows_count)
|
|
{
|
|
ColumnRawPtrs args_in;
|
|
for (const auto arg_index : arguments)
|
|
args_in.push_back(block.getByPosition(arg_index).column.get());
|
|
|
|
auto & result_info = block.getByPosition(result_index);
|
|
if (result_info.type->isNullable())
|
|
executeForTernaryLogicImpl<Impl>(std::move(args_in), result_info, input_rows_count);
|
|
else
|
|
basicExecuteImpl<Impl>(std::move(args_in), result_info, input_rows_count);
|
|
}
|
|
|
|
|
|
template <typename A, typename Op>
|
|
struct UnaryOperationImpl
|
|
{
|
|
using ResultType = typename Op::ResultType;
|
|
using ArrayA = typename ColumnVector<A>::Container;
|
|
using ArrayC = typename ColumnVector<ResultType>::Container;
|
|
|
|
static void NO_INLINE vector(const ArrayA & a, ArrayC & c)
|
|
{
|
|
std::transform(
|
|
a.cbegin(), a.cend(), c.begin(),
|
|
[](const auto x) { return Op::apply(x); });
|
|
}
|
|
};
|
|
|
|
template <template <typename> class Impl, typename Name>
|
|
DataTypePtr FunctionUnaryLogical<Impl, Name>::getReturnTypeImpl(const DataTypes & arguments) const
|
|
{
|
|
if (!isNativeNumber(arguments[0]))
|
|
throw Exception("Illegal type ("
|
|
+ arguments[0]->getName()
|
|
+ ") of argument of function " + getName(),
|
|
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
|
|
|
|
return std::make_shared<DataTypeUInt8>();
|
|
}
|
|
|
|
template <template <typename> class Impl, typename T>
|
|
bool functionUnaryExecuteType(Block & block, const ColumnNumbers & arguments, size_t result)
|
|
{
|
|
if (auto col = checkAndGetColumn<ColumnVector<T>>(block.getByPosition(arguments[0]).column.get()))
|
|
{
|
|
auto col_res = ColumnUInt8::create();
|
|
|
|
typename ColumnUInt8::Container & vec_res = col_res->getData();
|
|
vec_res.resize(col->getData().size());
|
|
UnaryOperationImpl<T, Impl<T>>::vector(col->getData(), vec_res);
|
|
|
|
block.getByPosition(result).column = std::move(col_res);
|
|
return true;
|
|
}
|
|
|
|
return false;
|
|
}
|
|
|
|
template <template <typename> class Impl, typename Name>
|
|
void FunctionUnaryLogical<Impl, Name>::executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/)
|
|
{
|
|
if (!(functionUnaryExecuteType<Impl, UInt8>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, UInt16>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, UInt32>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, UInt64>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, Int8>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, Int16>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, Int32>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, Int64>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, Float32>(block, arguments, result)
|
|
|| functionUnaryExecuteType<Impl, Float64>(block, arguments, result)))
|
|
throw Exception("Illegal column " + block.getByPosition(arguments[0]).column->getName()
|
|
+ " of argument of function " + getName(),
|
|
ErrorCodes::ILLEGAL_COLUMN);
|
|
}
|
|
|
|
}
|