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70d1adfe4b
* save format string for NetException * format exceptions * format exceptions 2 * format exceptions 3 * format exceptions 4 * format exceptions 5 * format exceptions 6 * fix * format exceptions 7 * format exceptions 8 * Update MergeTreeIndexGin.cpp * Update AggregateFunctionMap.cpp * Update AggregateFunctionMap.cpp * fix
1658 lines
66 KiB
C++
1658 lines
66 KiB
C++
#include <Columns/ColumnTuple.h>
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#include <DataTypes/DataTypeArray.h>
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#include <DataTypes/DataTypeInterval.h>
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#include <DataTypes/DataTypeTuple.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypeNothing.h>
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#include <Functions/FunctionFactory.h>
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#include <Functions/FunctionHelpers.h>
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#include <Functions/ITupleFunction.h>
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#include <Functions/castTypeToEither.h>
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#include "Functions/IFunction.h"
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int ILLEGAL_COLUMN;
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extern const int ARGUMENT_OUT_OF_BOUND;
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}
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struct PlusName { static constexpr auto name = "plus"; };
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struct MinusName { static constexpr auto name = "minus"; };
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struct MultiplyName { static constexpr auto name = "multiply"; };
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struct DivideName { static constexpr auto name = "divide"; };
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struct L1Label { static constexpr auto name = "1"; };
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struct L2Label { static constexpr auto name = "2"; };
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struct L2SquaredLabel { static constexpr auto name = "2Squared"; };
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struct LinfLabel { static constexpr auto name = "inf"; };
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struct LpLabel { static constexpr auto name = "p"; };
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/// str starts from the lowercase letter; not constexpr due to the compiler version
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/*constexpr*/ std::string makeFirstLetterUppercase(const std::string& str)
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{
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std::string res(str);
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res[0] += 'A' - 'a';
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return res;
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}
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template <class FuncName>
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class FunctionTupleOperator : public ITupleFunction
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{
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public:
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/// constexpr cannot be used due to std::string has not constexpr constructor in this compiler version
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static inline auto name = "tuple" + makeFirstLetterUppercase(FuncName::name);
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explicit FunctionTupleOperator(ContextPtr context_) : ITupleFunction(context_) {}
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static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionTupleOperator>(context_); }
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 2; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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const auto * left_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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const auto * right_tuple = checkAndGetDataType<DataTypeTuple>(arguments[1].type.get());
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if (!left_tuple)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
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getName(), arguments[0].type->getName());
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if (!right_tuple)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 1 of function {} should be tuple, got {}",
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getName(), arguments[1].type->getName());
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const auto & left_types = left_tuple->getElements();
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const auto & right_types = right_tuple->getElements();
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Columns left_elements;
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Columns right_elements;
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if (arguments[0].column)
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left_elements = getTupleElements(*arguments[0].column);
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if (arguments[1].column)
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right_elements = getTupleElements(*arguments[1].column);
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if (left_types.size() != right_types.size())
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Expected tuples of the same size as arguments of function {}. Got {} and {}",
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getName(), arguments[0].type->getName(), arguments[1].type->getName());
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size_t tuple_size = left_types.size();
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if (tuple_size == 0)
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return std::make_shared<DataTypeUInt8>();
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auto func = FunctionFactory::instance().get(FuncName::name, context);
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DataTypes types(tuple_size);
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for (size_t i = 0; i < tuple_size; ++i)
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{
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try
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{
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ColumnWithTypeAndName left{left_elements.empty() ? nullptr : left_elements[i], left_types[i], {}};
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ColumnWithTypeAndName right{right_elements.empty() ? nullptr : right_elements[i], right_types[i], {}};
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auto elem_func = func->build(ColumnsWithTypeAndName{left, right});
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types[i] = elem_func->getResultType();
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}
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catch (DB::Exception & e)
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{
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e.addMessage("While executing function {} for tuple element {}", getName(), i);
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throw;
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}
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}
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return std::make_shared<DataTypeTuple>(types);
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
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{
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const auto * left_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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const auto * right_tuple = checkAndGetDataType<DataTypeTuple>(arguments[1].type.get());
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const auto & left_types = left_tuple->getElements();
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const auto & right_types = right_tuple->getElements();
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auto left_elements = getTupleElements(*arguments[0].column);
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auto right_elements = getTupleElements(*arguments[1].column);
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size_t tuple_size = left_elements.size();
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if (tuple_size == 0)
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return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
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auto func = FunctionFactory::instance().get(FuncName::name, context);
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Columns columns(tuple_size);
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for (size_t i = 0; i < tuple_size; ++i)
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{
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ColumnWithTypeAndName left{left_elements[i], left_types[i], {}};
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ColumnWithTypeAndName right{right_elements[i], right_types[i], {}};
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auto elem_func = func->build(ColumnsWithTypeAndName{left, right});
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columns[i] = elem_func->execute({left, right}, elem_func->getResultType(), input_rows_count)
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->convertToFullColumnIfConst();
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}
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return ColumnTuple::create(columns);
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}
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};
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using FunctionTuplePlus = FunctionTupleOperator<PlusName>;
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using FunctionTupleMinus = FunctionTupleOperator<MinusName>;
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using FunctionTupleMultiply = FunctionTupleOperator<MultiplyName>;
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using FunctionTupleDivide = FunctionTupleOperator<DivideName>;
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class FunctionTupleNegate : public ITupleFunction
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{
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public:
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static constexpr auto name = "tupleNegate";
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explicit FunctionTupleNegate(ContextPtr context_) : ITupleFunction(context_) {}
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static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionTupleNegate>(context_); }
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 1; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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if (!cur_tuple)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
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getName(), arguments[0].type->getName());
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const auto & cur_types = cur_tuple->getElements();
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Columns cur_elements;
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if (arguments[0].column)
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cur_elements = getTupleElements(*arguments[0].column);
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size_t tuple_size = cur_types.size();
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if (tuple_size == 0)
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return std::make_shared<DataTypeUInt8>();
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auto negate = FunctionFactory::instance().get("negate", context);
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DataTypes types(tuple_size);
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for (size_t i = 0; i < tuple_size; ++i)
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{
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try
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{
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ColumnWithTypeAndName cur{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
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auto elem_negate = negate->build(ColumnsWithTypeAndName{cur});
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types[i] = elem_negate->getResultType();
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}
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catch (DB::Exception & e)
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{
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e.addMessage("While executing function {} for tuple element {}", getName(), i);
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throw;
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}
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}
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return std::make_shared<DataTypeTuple>(types);
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
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{
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const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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const auto & cur_types = cur_tuple->getElements();
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auto cur_elements = getTupleElements(*arguments[0].column);
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size_t tuple_size = cur_elements.size();
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if (tuple_size == 0)
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return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
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auto negate = FunctionFactory::instance().get("negate", context);
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Columns columns(tuple_size);
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for (size_t i = 0; i < tuple_size; ++i)
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{
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ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
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auto elem_negate = negate->build(ColumnsWithTypeAndName{cur});
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columns[i] = elem_negate->execute({cur}, elem_negate->getResultType(), input_rows_count)
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->convertToFullColumnIfConst();
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}
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return ColumnTuple::create(columns);
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}
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};
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template <class FuncName>
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class FunctionTupleOperatorByNumber : public ITupleFunction
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{
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public:
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/// constexpr cannot be used due to std::string has not constexpr constructor in this compiler version
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static inline auto name = "tuple" + makeFirstLetterUppercase(FuncName::name) + "ByNumber";
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explicit FunctionTupleOperatorByNumber(ContextPtr context_) : ITupleFunction(context_) {}
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static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionTupleOperatorByNumber>(context_); }
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 2; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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if (!cur_tuple)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
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getName(), arguments[0].type->getName());
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const auto & cur_types = cur_tuple->getElements();
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Columns cur_elements;
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if (arguments[0].column)
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cur_elements = getTupleElements(*arguments[0].column);
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size_t tuple_size = cur_types.size();
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if (tuple_size == 0)
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return std::make_shared<DataTypeUInt8>();
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const auto & p_column = arguments[1];
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auto func = FunctionFactory::instance().get(FuncName::name, context);
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DataTypes types(tuple_size);
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for (size_t i = 0; i < tuple_size; ++i)
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{
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try
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{
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ColumnWithTypeAndName cur{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
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auto elem_func = func->build(ColumnsWithTypeAndName{cur, p_column});
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types[i] = elem_func->getResultType();
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}
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catch (DB::Exception & e)
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{
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e.addMessage("While executing function {} for tuple element {}", getName(), i);
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throw;
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}
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}
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return std::make_shared<DataTypeTuple>(types);
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
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{
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const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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const auto & cur_types = cur_tuple->getElements();
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auto cur_elements = getTupleElements(*arguments[0].column);
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size_t tuple_size = cur_elements.size();
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if (tuple_size == 0)
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return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
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const auto & p_column = arguments[1];
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auto func = FunctionFactory::instance().get(FuncName::name, context);
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Columns columns(tuple_size);
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for (size_t i = 0; i < tuple_size; ++i)
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{
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ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
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auto elem_func = func->build(ColumnsWithTypeAndName{cur, p_column});
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columns[i] = elem_func->execute({cur, p_column}, elem_func->getResultType(), input_rows_count)
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->convertToFullColumnIfConst();
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}
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return ColumnTuple::create(columns);
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}
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};
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using FunctionTupleMultiplyByNumber = FunctionTupleOperatorByNumber<MultiplyName>;
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using FunctionTupleDivideByNumber = FunctionTupleOperatorByNumber<DivideName>;
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class FunctionDotProduct : public ITupleFunction
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{
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public:
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static constexpr auto name = "dotProduct";
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explicit FunctionDotProduct(ContextPtr context_) : ITupleFunction(context_) {}
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static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionDotProduct>(context_); }
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 2; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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const auto * left_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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const auto * right_tuple = checkAndGetDataType<DataTypeTuple>(arguments[1].type.get());
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if (!left_tuple)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
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getName(), arguments[0].type->getName());
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if (!right_tuple)
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 1 of function {} should be tuple, got {}",
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getName(), arguments[1].type->getName());
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const auto & left_types = left_tuple->getElements();
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const auto & right_types = right_tuple->getElements();
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Columns left_elements;
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Columns right_elements;
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if (arguments[0].column)
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left_elements = getTupleElements(*arguments[0].column);
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if (arguments[1].column)
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right_elements = getTupleElements(*arguments[1].column);
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if (left_types.size() != right_types.size())
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Expected tuples of the same size as arguments of function {}. Got {} and {}",
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getName(), arguments[0].type->getName(), arguments[1].type->getName());
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size_t tuple_size = left_types.size();
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if (tuple_size == 0)
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return std::make_shared<DataTypeUInt8>();
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auto multiply = FunctionFactory::instance().get("multiply", context);
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auto plus = FunctionFactory::instance().get("plus", context);
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DataTypePtr res_type;
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for (size_t i = 0; i < tuple_size; ++i)
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{
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try
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{
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ColumnWithTypeAndName left{left_elements.empty() ? nullptr : left_elements[i], left_types[i], {}};
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ColumnWithTypeAndName right{right_elements.empty() ? nullptr : right_elements[i], right_types[i], {}};
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auto elem_multiply = multiply->build(ColumnsWithTypeAndName{left, right});
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if (i == 0)
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{
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res_type = elem_multiply->getResultType();
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continue;
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}
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ColumnWithTypeAndName left_type{res_type, {}};
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ColumnWithTypeAndName right_type{elem_multiply->getResultType(), {}};
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auto plus_elem = plus->build({left_type, right_type});
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res_type = plus_elem->getResultType();
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}
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catch (DB::Exception & e)
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{
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e.addMessage("While executing function {} for tuple element {}", getName(), i);
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throw;
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}
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}
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return res_type;
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}
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
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{
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const auto * left_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
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const auto * right_tuple = checkAndGetDataType<DataTypeTuple>(arguments[1].type.get());
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const auto & left_types = left_tuple->getElements();
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const auto & right_types = right_tuple->getElements();
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auto left_elements = getTupleElements(*arguments[0].column);
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auto right_elements = getTupleElements(*arguments[1].column);
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size_t tuple_size = left_elements.size();
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if (tuple_size == 0)
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return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
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auto multiply = FunctionFactory::instance().get("multiply", context);
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auto plus = FunctionFactory::instance().get("plus", context);
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ColumnWithTypeAndName res;
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for (size_t i = 0; i < tuple_size; ++i)
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{
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ColumnWithTypeAndName left{left_elements[i], left_types[i], {}};
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ColumnWithTypeAndName right{right_elements[i], right_types[i], {}};
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auto elem_multiply = multiply->build(ColumnsWithTypeAndName{left, right});
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ColumnWithTypeAndName column;
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column.type = elem_multiply->getResultType();
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column.column = elem_multiply->execute({left, right}, column.type, input_rows_count);
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if (i == 0)
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{
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res = std::move(column);
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}
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else
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{
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auto plus_elem = plus->build({res, column});
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auto res_type = plus_elem->getResultType();
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res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
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res.type = res_type;
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}
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}
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return res.column;
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}
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};
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template <typename Impl>
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class FunctionDateOrDateTimeOperationTupleOfIntervals : public ITupleFunction
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{
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public:
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static constexpr auto name = Impl::name;
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explicit FunctionDateOrDateTimeOperationTupleOfIntervals(ContextPtr context_) : ITupleFunction(context_) {}
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static FunctionPtr create(ContextPtr context_)
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{
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return std::make_shared<FunctionDateOrDateTimeOperationTupleOfIntervals>(context_);
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}
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 2; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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if (!isDateOrDate32(arguments[0].type) && !isDateTime(arguments[0].type) && !isDateTime64(arguments[0].type))
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throw Exception{ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Illegal type {} of first argument of function {}. Should be a date or a date with time",
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arguments[0].type->getName(), getName()};
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const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[1].type.get());
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if (!cur_tuple)
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throw Exception{ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Illegal type {} of second argument of function {}. Should be a tuple",
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arguments[0].type->getName(), getName()};
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const auto & cur_types = cur_tuple->getElements();
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Columns cur_elements;
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if (arguments[1].column)
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cur_elements = getTupleElements(*arguments[1].column);
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size_t tuple_size = cur_types.size();
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if (tuple_size == 0)
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return arguments[0].type;
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auto plus = FunctionFactory::instance().get(Impl::func_name, context);
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DataTypePtr res_type = arguments[0].type;
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for (size_t i = 0; i < tuple_size; ++i)
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{
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try
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{
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ColumnWithTypeAndName left{res_type, {}};
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ColumnWithTypeAndName right{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
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auto plus_elem = plus->build({left, right});
|
|
res_type = plus_elem->getResultType();
|
|
}
|
|
catch (DB::Exception & e)
|
|
{
|
|
e.addMessage("While executing function {} for tuple element {}", getName(), i);
|
|
throw;
|
|
}
|
|
}
|
|
|
|
return res_type;
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[1].type.get());
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
auto cur_elements = getTupleElements(*arguments[1].column);
|
|
|
|
size_t tuple_size = cur_elements.size();
|
|
if (tuple_size == 0)
|
|
return arguments[0].column;
|
|
|
|
auto plus = FunctionFactory::instance().get(Impl::func_name, context);
|
|
ColumnWithTypeAndName res;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
ColumnWithTypeAndName column{cur_elements[i], cur_types[i], {}};
|
|
auto elem_plus = plus->build(ColumnsWithTypeAndName{i == 0 ? arguments[0] : res, column});
|
|
auto res_type = elem_plus->getResultType();
|
|
res.column = elem_plus->execute({i == 0 ? arguments[0] : res, column}, res_type, input_rows_count);
|
|
res.type = res_type;
|
|
}
|
|
|
|
return res.column;
|
|
}
|
|
};
|
|
|
|
struct AddTupleOfIntervalsImpl
|
|
{
|
|
static constexpr auto name = "addTupleOfIntervals";
|
|
static constexpr auto func_name = "plus";
|
|
};
|
|
|
|
struct SubtractTupleOfIntervalsImpl
|
|
{
|
|
static constexpr auto name = "subtractTupleOfIntervals";
|
|
static constexpr auto func_name = "minus";
|
|
};
|
|
|
|
using FunctionAddTupleOfIntervals = FunctionDateOrDateTimeOperationTupleOfIntervals<AddTupleOfIntervalsImpl>;
|
|
|
|
using FunctionSubtractTupleOfIntervals = FunctionDateOrDateTimeOperationTupleOfIntervals<SubtractTupleOfIntervalsImpl>;
|
|
|
|
template <bool is_minus>
|
|
struct FunctionTupleOperationInterval : public ITupleFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = is_minus ? "subtractInterval" : "addInterval";
|
|
|
|
explicit FunctionTupleOperationInterval(ContextPtr context_) : ITupleFunction(context_) {}
|
|
|
|
static FunctionPtr create(ContextPtr context_)
|
|
{
|
|
return std::make_shared<FunctionTupleOperationInterval>(context_);
|
|
}
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return 2; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
|
|
{
|
|
if (!isTuple(arguments[0]) && !isInterval(arguments[0]))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
|
"Illegal type {} of first argument of function {}, must be Tuple or Interval",
|
|
arguments[0]->getName(), getName());
|
|
|
|
if (!isInterval(arguments[1]))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
|
"Illegal type {} of second argument of function {}, must be Interval",
|
|
arguments[1]->getName(), getName());
|
|
|
|
DataTypes types;
|
|
|
|
const auto * tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].get());
|
|
|
|
if (tuple)
|
|
{
|
|
const auto & cur_types = tuple->getElements();
|
|
|
|
for (const auto & type : cur_types)
|
|
if (!isInterval(type))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
|
"Illegal type {} of Tuple element of first argument of function {}, must be Interval",
|
|
type->getName(), getName());
|
|
|
|
types = cur_types;
|
|
}
|
|
else
|
|
{
|
|
types = {arguments[0]};
|
|
}
|
|
|
|
const auto * interval_last = checkAndGetDataType<DataTypeInterval>(types.back().get());
|
|
const auto * interval_new = checkAndGetDataType<DataTypeInterval>(arguments[1].get());
|
|
|
|
if (!interval_last->equals(*interval_new))
|
|
types.push_back(arguments[1]);
|
|
|
|
return std::make_shared<DataTypeTuple>(types);
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
if (!isInterval(arguments[1].type))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
|
"Illegal type {} of second argument of function {}, must be Interval",
|
|
arguments[1].type->getName(), getName());
|
|
|
|
Columns tuple_columns;
|
|
|
|
const auto * first_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
const auto * first_interval = checkAndGetDataType<DataTypeInterval>(arguments[0].type.get());
|
|
const auto * second_interval = checkAndGetDataType<DataTypeInterval>(arguments[1].type.get());
|
|
|
|
bool can_be_merged;
|
|
|
|
if (first_interval)
|
|
{
|
|
can_be_merged = first_interval->equals(*second_interval);
|
|
|
|
if (can_be_merged)
|
|
tuple_columns.resize(1);
|
|
else
|
|
tuple_columns.resize(2);
|
|
|
|
tuple_columns[0] = arguments[0].column->convertToFullColumnIfConst();
|
|
}
|
|
else if (first_tuple)
|
|
{
|
|
const auto & cur_types = first_tuple->getElements();
|
|
|
|
for (const auto & type : cur_types)
|
|
if (!isInterval(type))
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
|
"Illegal type {} of Tuple element of first argument of function {}, must be Interval",
|
|
type->getName(), getName());
|
|
|
|
auto cur_elements = getTupleElements(*arguments[0].column);
|
|
size_t tuple_size = cur_elements.size();
|
|
|
|
if (tuple_size == 0)
|
|
{
|
|
can_be_merged = false;
|
|
}
|
|
else
|
|
{
|
|
const auto * tuple_last_interval = checkAndGetDataType<DataTypeInterval>(cur_types.back().get());
|
|
can_be_merged = tuple_last_interval->equals(*second_interval);
|
|
}
|
|
|
|
if (can_be_merged)
|
|
tuple_columns.resize(tuple_size);
|
|
else
|
|
tuple_columns.resize(tuple_size + 1);
|
|
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
tuple_columns[i] = cur_elements[i];
|
|
}
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
|
|
"Illegal type {} of first argument of function {}, must be Tuple or Interval",
|
|
arguments[0].type->getName(), getName());
|
|
|
|
|
|
ColumnPtr & last_column = tuple_columns.back();
|
|
|
|
if (can_be_merged)
|
|
{
|
|
ColumnWithTypeAndName left{last_column, arguments[1].type, {}};
|
|
|
|
if constexpr (is_minus)
|
|
{
|
|
auto minus = FunctionFactory::instance().get("minus", context);
|
|
auto elem_minus = minus->build({left, arguments[1]});
|
|
last_column = elem_minus->execute({left, arguments[1]}, arguments[1].type, input_rows_count)
|
|
->convertToFullColumnIfConst();
|
|
}
|
|
else
|
|
{
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
auto elem_plus = plus->build({left, arguments[1]});
|
|
last_column = elem_plus->execute({left, arguments[1]}, arguments[1].type, input_rows_count)
|
|
->convertToFullColumnIfConst();
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if constexpr (is_minus)
|
|
{
|
|
auto negate = FunctionFactory::instance().get("negate", context);
|
|
auto elem_negate = negate->build({arguments[1]});
|
|
last_column = elem_negate->execute({arguments[1]}, arguments[1].type, input_rows_count);
|
|
}
|
|
else
|
|
{
|
|
last_column = arguments[1].column;
|
|
}
|
|
}
|
|
|
|
return ColumnTuple::create(tuple_columns);
|
|
}
|
|
};
|
|
|
|
using FunctionTupleAddInterval = FunctionTupleOperationInterval<false>;
|
|
|
|
using FunctionTupleSubtractInterval = FunctionTupleOperationInterval<true>;
|
|
|
|
|
|
/// this is for convenient usage in LNormalize
|
|
template <class FuncLabel>
|
|
class FunctionLNorm : public ITupleFunction {};
|
|
|
|
template <>
|
|
class FunctionLNorm<L1Label> : public ITupleFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = "L1Norm";
|
|
|
|
explicit FunctionLNorm(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLNorm>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return 1; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
|
|
if (!cur_tuple)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
|
|
getName(), arguments[0].type->getName());
|
|
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
|
|
Columns cur_elements;
|
|
if (arguments[0].column)
|
|
cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_types.size();
|
|
if (tuple_size == 0)
|
|
return std::make_shared<DataTypeUInt8>();
|
|
|
|
auto abs = FunctionFactory::instance().get("abs", context);
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
DataTypePtr res_type;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
try
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
|
|
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
|
|
|
|
if (i == 0)
|
|
{
|
|
res_type = elem_abs->getResultType();
|
|
continue;
|
|
}
|
|
|
|
ColumnWithTypeAndName left_type{res_type, {}};
|
|
ColumnWithTypeAndName right_type{elem_abs->getResultType(), {}};
|
|
auto plus_elem = plus->build({left_type, right_type});
|
|
res_type = plus_elem->getResultType();
|
|
}
|
|
catch (DB::Exception & e)
|
|
{
|
|
e.addMessage("While executing function {} for tuple element {}", getName(), i);
|
|
throw;
|
|
}
|
|
}
|
|
|
|
return res_type;
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
auto cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_elements.size();
|
|
if (tuple_size == 0)
|
|
return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
|
|
|
|
auto abs = FunctionFactory::instance().get("abs", context);
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
ColumnWithTypeAndName res;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
|
|
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
|
|
|
|
ColumnWithTypeAndName column;
|
|
column.type = elem_abs->getResultType();
|
|
column.column = elem_abs->execute({cur}, column.type, input_rows_count);
|
|
|
|
if (i == 0)
|
|
{
|
|
res = std::move(column);
|
|
}
|
|
else
|
|
{
|
|
auto plus_elem = plus->build({res, column});
|
|
auto res_type = plus_elem->getResultType();
|
|
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
|
|
res.type = res_type;
|
|
}
|
|
}
|
|
|
|
return res.column;
|
|
}
|
|
};
|
|
using FunctionL1Norm = FunctionLNorm<L1Label>;
|
|
|
|
template <>
|
|
class FunctionLNorm<L2SquaredLabel> : public ITupleFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = "L2SquaredNorm";
|
|
|
|
explicit FunctionLNorm(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLNorm>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return 1; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
|
|
if (!cur_tuple)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
|
|
getName(), arguments[0].type->getName());
|
|
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
|
|
Columns cur_elements;
|
|
if (arguments[0].column)
|
|
cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_types.size();
|
|
if (tuple_size == 0)
|
|
return std::make_shared<DataTypeUInt8>();
|
|
|
|
auto multiply = FunctionFactory::instance().get("multiply", context);
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
DataTypePtr res_type;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
try
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
|
|
auto elem_multiply = multiply->build(ColumnsWithTypeAndName{cur, cur});
|
|
|
|
if (i == 0)
|
|
{
|
|
res_type = elem_multiply->getResultType();
|
|
continue;
|
|
}
|
|
|
|
ColumnWithTypeAndName left_type{res_type, {}};
|
|
ColumnWithTypeAndName right_type{elem_multiply->getResultType(), {}};
|
|
auto plus_elem = plus->build({left_type, right_type});
|
|
res_type = plus_elem->getResultType();
|
|
}
|
|
catch (DB::Exception & e)
|
|
{
|
|
e.addMessage("While executing function {} for tuple element {}", getName(), i);
|
|
throw;
|
|
}
|
|
}
|
|
|
|
return res_type;
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
auto cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_elements.size();
|
|
if (tuple_size == 0)
|
|
return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
|
|
|
|
auto multiply = FunctionFactory::instance().get("multiply", context);
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
ColumnWithTypeAndName res;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
|
|
auto elem_multiply = multiply->build(ColumnsWithTypeAndName{cur, cur});
|
|
|
|
ColumnWithTypeAndName column;
|
|
column.type = elem_multiply->getResultType();
|
|
column.column = elem_multiply->execute({cur, cur}, column.type, input_rows_count);
|
|
|
|
if (i == 0)
|
|
{
|
|
res = std::move(column);
|
|
}
|
|
else
|
|
{
|
|
auto plus_elem = plus->build({res, column});
|
|
auto res_type = plus_elem->getResultType();
|
|
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
|
|
res.type = res_type;
|
|
}
|
|
}
|
|
|
|
return res.column;
|
|
}
|
|
};
|
|
using FunctionL2SquaredNorm = FunctionLNorm<L2SquaredLabel>;
|
|
|
|
template <>
|
|
class FunctionLNorm<L2Label> : public FunctionL2SquaredNorm
|
|
{
|
|
private:
|
|
using Base = FunctionL2SquaredNorm;
|
|
public:
|
|
static constexpr auto name = "L2Norm";
|
|
|
|
explicit FunctionLNorm(ContextPtr context_) : Base(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLNorm>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
|
|
if (!cur_tuple)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
|
|
getName(), arguments[0].type->getName());
|
|
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
size_t tuple_size = cur_types.size();
|
|
if (tuple_size == 0)
|
|
return std::make_shared<DataTypeUInt8>();
|
|
|
|
auto sqrt = FunctionFactory::instance().get("sqrt", context);
|
|
return sqrt->build({ColumnWithTypeAndName{Base::getReturnTypeImpl(arguments), {}}})->getResultType();
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
auto cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_elements.size();
|
|
if (tuple_size == 0)
|
|
return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
|
|
|
|
ColumnWithTypeAndName squared_res;
|
|
squared_res.type = Base::getReturnTypeImpl(arguments);
|
|
squared_res.column = Base::executeImpl(arguments, squared_res.type, input_rows_count);
|
|
|
|
auto sqrt = FunctionFactory::instance().get("sqrt", context);
|
|
auto sqrt_elem = sqrt->build({squared_res});
|
|
return sqrt_elem->execute({squared_res}, sqrt_elem->getResultType(), input_rows_count);
|
|
}
|
|
};
|
|
using FunctionL2Norm = FunctionLNorm<L2Label>;
|
|
|
|
template <>
|
|
class FunctionLNorm<LinfLabel> : public ITupleFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = "LinfNorm";
|
|
|
|
explicit FunctionLNorm(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLNorm>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return 1; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
|
|
if (!cur_tuple)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
|
|
getName(), arguments[0].type->getName());
|
|
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
|
|
Columns cur_elements;
|
|
if (arguments[0].column)
|
|
cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_types.size();
|
|
if (tuple_size == 0)
|
|
return std::make_shared<DataTypeUInt8>();
|
|
|
|
auto abs = FunctionFactory::instance().get("abs", context);
|
|
auto max = FunctionFactory::instance().get("max2", context);
|
|
DataTypePtr res_type;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
try
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
|
|
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
|
|
|
|
if (i == 0)
|
|
{
|
|
res_type = elem_abs->getResultType();
|
|
continue;
|
|
}
|
|
|
|
ColumnWithTypeAndName left_type{res_type, {}};
|
|
ColumnWithTypeAndName right_type{elem_abs->getResultType(), {}};
|
|
auto max_elem = max->build({left_type, right_type});
|
|
res_type = max_elem->getResultType();
|
|
}
|
|
catch (DB::Exception & e)
|
|
{
|
|
e.addMessage("While executing function {} for tuple element {}", getName(), i);
|
|
throw;
|
|
}
|
|
}
|
|
|
|
return res_type;
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
auto cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_elements.size();
|
|
if (tuple_size == 0)
|
|
return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
|
|
|
|
auto abs = FunctionFactory::instance().get("abs", context);
|
|
auto max = FunctionFactory::instance().get("max2", context);
|
|
ColumnWithTypeAndName res;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
|
|
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
|
|
|
|
ColumnWithTypeAndName column;
|
|
column.type = elem_abs->getResultType();
|
|
column.column = elem_abs->execute({cur}, column.type, input_rows_count);
|
|
|
|
if (i == 0)
|
|
{
|
|
res = std::move(column);
|
|
}
|
|
else
|
|
{
|
|
auto max_elem = max->build({res, column});
|
|
auto res_type = max_elem->getResultType();
|
|
res.column = max_elem->execute({res, column}, res_type, input_rows_count);
|
|
res.type = res_type;
|
|
}
|
|
}
|
|
|
|
return res.column;
|
|
}
|
|
};
|
|
using FunctionLinfNorm = FunctionLNorm<LinfLabel>;
|
|
|
|
template <>
|
|
class FunctionLNorm<LpLabel> : public ITupleFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = "LpNorm";
|
|
|
|
explicit FunctionLNorm(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLNorm>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return 2; }
|
|
|
|
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
|
|
if (!cur_tuple)
|
|
throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Argument 0 of function {} should be tuple, got {}",
|
|
getName(), arguments[0].type->getName());
|
|
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
|
|
Columns cur_elements;
|
|
if (arguments[0].column)
|
|
cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_types.size();
|
|
if (tuple_size == 0)
|
|
return std::make_shared<DataTypeUInt8>();
|
|
|
|
const auto & p_column = arguments[1];
|
|
auto abs = FunctionFactory::instance().get("abs", context);
|
|
auto pow = FunctionFactory::instance().get("pow", context);
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
DataTypePtr res_type;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
try
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements.empty() ? nullptr : cur_elements[i], cur_types[i], {}};
|
|
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
|
|
cur.type = elem_abs->getResultType();
|
|
cur.column = cur.type->createColumn();
|
|
|
|
auto elem_pow = pow->build(ColumnsWithTypeAndName{cur, p_column});
|
|
|
|
if (i == 0)
|
|
{
|
|
res_type = elem_pow->getResultType();
|
|
continue;
|
|
}
|
|
|
|
ColumnWithTypeAndName left_type{res_type, {}};
|
|
ColumnWithTypeAndName right_type{elem_pow->getResultType(), {}};
|
|
auto plus_elem = plus->build({left_type, right_type});
|
|
res_type = plus_elem->getResultType();
|
|
}
|
|
catch (DB::Exception & e)
|
|
{
|
|
e.addMessage("While executing function {} for tuple element {}", getName(), i);
|
|
throw;
|
|
}
|
|
}
|
|
|
|
ColumnWithTypeAndName inv_p_column{std::make_shared<DataTypeFloat64>(), {}};
|
|
return pow->build({ColumnWithTypeAndName{res_type, {}}, inv_p_column})->getResultType();
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
const auto * cur_tuple = checkAndGetDataType<DataTypeTuple>(arguments[0].type.get());
|
|
const auto & cur_types = cur_tuple->getElements();
|
|
auto cur_elements = getTupleElements(*arguments[0].column);
|
|
|
|
size_t tuple_size = cur_elements.size();
|
|
if (tuple_size == 0)
|
|
return DataTypeUInt8().createColumnConstWithDefaultValue(input_rows_count);
|
|
|
|
const auto & p_column = arguments[1];
|
|
|
|
if (!isColumnConst(*p_column.column) && p_column.column->size() != 1)
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Second argument for function {} must be either constant Float64 or constant UInt", getName());
|
|
|
|
double p;
|
|
if (isFloat(p_column.column->getDataType()))
|
|
p = p_column.column->getFloat64(0);
|
|
else if (isUnsignedInteger(p_column.column->getDataType()))
|
|
p = p_column.column->getUInt(0);
|
|
else
|
|
throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Second argument for function {} must be either constant Float64 or constant UInt", getName());
|
|
|
|
if (p < 1 || p >= HUGE_VAL)
|
|
throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND,
|
|
"Second argument for function {} must be not less than one and not be an infinity",
|
|
getName());
|
|
|
|
auto abs = FunctionFactory::instance().get("abs", context);
|
|
auto pow = FunctionFactory::instance().get("pow", context);
|
|
auto plus = FunctionFactory::instance().get("plus", context);
|
|
ColumnWithTypeAndName res;
|
|
for (size_t i = 0; i < tuple_size; ++i)
|
|
{
|
|
ColumnWithTypeAndName cur{cur_elements[i], cur_types[i], {}};
|
|
auto elem_abs = abs->build(ColumnsWithTypeAndName{cur});
|
|
cur.column = elem_abs->execute({cur}, elem_abs->getResultType(), input_rows_count);
|
|
cur.type = elem_abs->getResultType();
|
|
|
|
auto elem_pow = pow->build(ColumnsWithTypeAndName{cur, p_column});
|
|
|
|
ColumnWithTypeAndName column;
|
|
column.type = elem_pow->getResultType();
|
|
column.column = elem_pow->execute({cur, p_column}, column.type, input_rows_count);
|
|
|
|
if (i == 0)
|
|
{
|
|
res = std::move(column);
|
|
}
|
|
else
|
|
{
|
|
auto plus_elem = plus->build({res, column});
|
|
auto res_type = plus_elem->getResultType();
|
|
res.column = plus_elem->execute({res, column}, res_type, input_rows_count);
|
|
res.type = res_type;
|
|
}
|
|
}
|
|
|
|
ColumnWithTypeAndName inv_p_column{DataTypeFloat64().createColumnConst(input_rows_count, 1 / p),
|
|
std::make_shared<DataTypeFloat64>(), {}};
|
|
auto pow_elem = pow->build({res, inv_p_column});
|
|
return pow_elem->execute({res, inv_p_column}, pow_elem->getResultType(), input_rows_count);
|
|
}
|
|
};
|
|
using FunctionLpNorm = FunctionLNorm<LpLabel>;
|
|
|
|
template <class FuncLabel>
|
|
class FunctionLDistance : public ITupleFunction
|
|
{
|
|
public:
|
|
/// constexpr cannot be used due to std::string has not constexpr constructor in this compiler version
|
|
static inline auto name = std::string("L") + FuncLabel::name + "Distance";
|
|
|
|
explicit FunctionLDistance(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLDistance>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override
|
|
{
|
|
if constexpr (FuncLabel::name[0] == 'p')
|
|
return 3;
|
|
else
|
|
return 2;
|
|
}
|
|
|
|
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override
|
|
{
|
|
if constexpr (FuncLabel::name[0] == 'p')
|
|
return {2};
|
|
else
|
|
return {};
|
|
}
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
FunctionTupleMinus tuple_minus(context);
|
|
auto type = tuple_minus.getReturnTypeImpl(arguments);
|
|
|
|
ColumnWithTypeAndName minus_res{type, {}};
|
|
|
|
auto func = FunctionFactory::instance().get(std::string("L") + FuncLabel::name + "Norm", context);
|
|
if constexpr (FuncLabel::name[0] == 'p')
|
|
return func->build({minus_res, arguments[2]})->getResultType();
|
|
else
|
|
return func->build({minus_res})->getResultType();
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
FunctionTupleMinus tuple_minus(context);
|
|
auto type = tuple_minus.getReturnTypeImpl(arguments);
|
|
auto column = tuple_minus.executeImpl(arguments, DataTypePtr(), input_rows_count);
|
|
|
|
ColumnWithTypeAndName minus_res{column, type, {}};
|
|
|
|
auto func = FunctionFactory::instance().get(std::string("L") + FuncLabel::name + "Norm", context);
|
|
if constexpr (FuncLabel::name[0] == 'p')
|
|
{
|
|
auto func_elem = func->build({minus_res, arguments[2]});
|
|
return func_elem->execute({minus_res, arguments[2]}, func_elem->getResultType(), input_rows_count);
|
|
}
|
|
else
|
|
{
|
|
auto func_elem = func->build({minus_res});
|
|
return func_elem->execute({minus_res}, func_elem->getResultType(), input_rows_count);
|
|
}
|
|
}
|
|
};
|
|
|
|
using FunctionL1Distance = FunctionLDistance<L1Label>;
|
|
|
|
using FunctionL2Distance = FunctionLDistance<L2Label>;
|
|
|
|
using FunctionL2SquaredDistance = FunctionLDistance<L2SquaredLabel>;
|
|
|
|
using FunctionLinfDistance = FunctionLDistance<LinfLabel>;
|
|
|
|
using FunctionLpDistance = FunctionLDistance<LpLabel>;
|
|
|
|
template <class FuncLabel>
|
|
class FunctionLNormalize : public ITupleFunction
|
|
{
|
|
public:
|
|
/// constexpr cannot be used due to std::string has not constexpr constructor in this compiler version
|
|
static inline auto name = std::string("L") + FuncLabel::name + "Normalize";
|
|
|
|
explicit FunctionLNormalize(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionLNormalize>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override
|
|
{
|
|
if constexpr (FuncLabel::name[0] == 'p')
|
|
return 2;
|
|
else
|
|
return 1;
|
|
}
|
|
|
|
ColumnNumbers getArgumentsThatAreAlwaysConstant() const override
|
|
{
|
|
if constexpr (FuncLabel::name[0] == 'p')
|
|
return {1};
|
|
else
|
|
return {};
|
|
}
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
FunctionLNorm<FuncLabel> norm(context);
|
|
auto type = norm.getReturnTypeImpl(arguments);
|
|
|
|
ColumnWithTypeAndName norm_res{type, {}};
|
|
|
|
FunctionTupleDivideByNumber divide(context);
|
|
return divide.getReturnTypeImpl({arguments[0], norm_res});
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
FunctionLNorm<FuncLabel> norm(context);
|
|
auto type = norm.getReturnTypeImpl(arguments);
|
|
auto column = norm.executeImpl(arguments, DataTypePtr(), input_rows_count);
|
|
|
|
ColumnWithTypeAndName norm_res{column, type, {}};
|
|
|
|
FunctionTupleDivideByNumber divide(context);
|
|
return divide.executeImpl({arguments[0], norm_res}, DataTypePtr(), input_rows_count);
|
|
}
|
|
};
|
|
|
|
using FunctionL1Normalize = FunctionLNormalize<L1Label>;
|
|
|
|
using FunctionL2Normalize = FunctionLNormalize<L2Label>;
|
|
|
|
using FunctionLinfNormalize = FunctionLNormalize<LinfLabel>;
|
|
|
|
using FunctionLpNormalize = FunctionLNormalize<LpLabel>;
|
|
|
|
class FunctionCosineDistance : public ITupleFunction
|
|
{
|
|
public:
|
|
/// constexpr cannot be used due to std::string has not constexpr constructor in this compiler version
|
|
static inline auto name = "cosineDistance";
|
|
|
|
explicit FunctionCosineDistance(ContextPtr context_) : ITupleFunction(context_) {}
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<FunctionCosineDistance>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return 2; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
FunctionDotProduct dot(context);
|
|
ColumnWithTypeAndName dot_result{dot.getReturnTypeImpl(arguments), {}};
|
|
|
|
FunctionL2Norm norm(context);
|
|
ColumnWithTypeAndName first_norm{norm.getReturnTypeImpl({arguments[0]}), {}};
|
|
ColumnWithTypeAndName second_norm{norm.getReturnTypeImpl({arguments[1]}), {}};
|
|
|
|
auto minus = FunctionFactory::instance().get("minus", context);
|
|
auto multiply = FunctionFactory::instance().get("multiply", context);
|
|
auto divide = FunctionFactory::instance().get("divide", context);
|
|
|
|
ColumnWithTypeAndName one{std::make_shared<DataTypeUInt8>(), {}};
|
|
|
|
ColumnWithTypeAndName multiply_result{multiply->build({first_norm, second_norm})->getResultType(), {}};
|
|
ColumnWithTypeAndName divide_result{divide->build({dot_result, multiply_result})->getResultType(), {}};
|
|
return minus->build({one, divide_result})->getResultType();
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t input_rows_count) const override
|
|
{
|
|
if (getReturnTypeImpl(arguments)->isNullable())
|
|
{
|
|
return DataTypeNullable(std::make_shared<DataTypeNothing>())
|
|
.createColumnConstWithDefaultValue(input_rows_count);
|
|
}
|
|
|
|
FunctionDotProduct dot(context);
|
|
ColumnWithTypeAndName dot_result{dot.executeImpl(arguments, DataTypePtr(), input_rows_count),
|
|
dot.getReturnTypeImpl(arguments), {}};
|
|
|
|
FunctionL2Norm norm(context);
|
|
ColumnWithTypeAndName first_norm{norm.executeImpl({arguments[0]}, DataTypePtr(), input_rows_count),
|
|
norm.getReturnTypeImpl({arguments[0]}), {}};
|
|
ColumnWithTypeAndName second_norm{norm.executeImpl({arguments[1]}, DataTypePtr(), input_rows_count),
|
|
norm.getReturnTypeImpl({arguments[1]}), {}};
|
|
|
|
auto minus = FunctionFactory::instance().get("minus", context);
|
|
auto multiply = FunctionFactory::instance().get("multiply", context);
|
|
auto divide = FunctionFactory::instance().get("divide", context);
|
|
|
|
ColumnWithTypeAndName one{DataTypeUInt8().createColumnConst(input_rows_count, 1),
|
|
std::make_shared<DataTypeUInt8>(), {}};
|
|
|
|
auto multiply_elem = multiply->build({first_norm, second_norm});
|
|
ColumnWithTypeAndName multiply_result;
|
|
multiply_result.type = multiply_elem->getResultType();
|
|
multiply_result.column = multiply_elem->execute({first_norm, second_norm},
|
|
multiply_result.type, input_rows_count);
|
|
|
|
auto divide_elem = divide->build({dot_result, multiply_result});
|
|
ColumnWithTypeAndName divide_result;
|
|
divide_result.type = divide_elem->getResultType();
|
|
divide_result.column = divide_elem->execute({dot_result, multiply_result},
|
|
divide_result.type, input_rows_count);
|
|
|
|
auto minus_elem = minus->build({one, divide_result});
|
|
return minus_elem->execute({one, divide_result}, minus_elem->getResultType(), {});
|
|
}
|
|
};
|
|
|
|
|
|
/// An adaptor to call Norm/Distance function for tuple or array depending on the 1st argument type
|
|
template <class Traits>
|
|
class TupleOrArrayFunction : public IFunction
|
|
{
|
|
public:
|
|
static constexpr auto name = Traits::name;
|
|
|
|
explicit TupleOrArrayFunction(ContextPtr context_)
|
|
: IFunction()
|
|
, tuple_function(Traits::CreateTupleFunction(context_))
|
|
, array_function(Traits::CreateArrayFunction(context_)) {}
|
|
|
|
static FunctionPtr create(ContextPtr context_) { return std::make_shared<TupleOrArrayFunction>(context_); }
|
|
|
|
String getName() const override { return name; }
|
|
|
|
size_t getNumberOfArguments() const override { return tuple_function->getNumberOfArguments(); }
|
|
|
|
bool useDefaultImplementationForConstants() const override { return true; }
|
|
|
|
bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; }
|
|
|
|
DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
|
|
{
|
|
bool is_array = checkDataTypes<DataTypeArray>(arguments[0].type.get());
|
|
return (is_array ? array_function : tuple_function)->getReturnTypeImpl(arguments);
|
|
}
|
|
|
|
ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, size_t input_rows_count) const override
|
|
{
|
|
bool is_array = checkDataTypes<DataTypeArray>(arguments[0].type.get());
|
|
return (is_array ? array_function : tuple_function)->executeImpl(arguments, result_type, input_rows_count);
|
|
}
|
|
|
|
private:
|
|
FunctionPtr tuple_function;
|
|
FunctionPtr array_function;
|
|
};
|
|
|
|
extern FunctionPtr createFunctionArrayL1Norm(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayL2Norm(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayL2SquaredNorm(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayLpNorm(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayLinfNorm(ContextPtr context_);
|
|
|
|
extern FunctionPtr createFunctionArrayL1Distance(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayL2Distance(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayL2SquaredDistance(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayLpDistance(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayLinfDistance(ContextPtr context_);
|
|
extern FunctionPtr createFunctionArrayCosineDistance(ContextPtr context_);
|
|
|
|
struct L1NormTraits
|
|
{
|
|
static constexpr auto name = "L1Norm";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionL1Norm::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayL1Norm;
|
|
};
|
|
|
|
struct L2NormTraits
|
|
{
|
|
static constexpr auto name = "L2Norm";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionL2Norm::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayL2Norm;
|
|
};
|
|
|
|
struct L2SquaredNormTraits
|
|
{
|
|
static constexpr auto name = "L2SquaredNorm";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionL2SquaredNorm::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayL2SquaredNorm;
|
|
};
|
|
|
|
struct LpNormTraits
|
|
{
|
|
static constexpr auto name = "LpNorm";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionLpNorm::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayLpNorm;
|
|
};
|
|
|
|
struct LinfNormTraits
|
|
{
|
|
static constexpr auto name = "LinfNorm";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionLinfNorm::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayLinfNorm;
|
|
};
|
|
|
|
struct L1DistanceTraits
|
|
{
|
|
static constexpr auto name = "L1Distance";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionL1Distance::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayL1Distance;
|
|
};
|
|
|
|
struct L2DistanceTraits
|
|
{
|
|
static constexpr auto name = "L2Distance";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionL2Distance::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayL2Distance;
|
|
};
|
|
|
|
struct L2SquaredDistanceTraits
|
|
{
|
|
static constexpr auto name = "L2SquaredDistance";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionL2SquaredDistance::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayL2SquaredDistance;
|
|
};
|
|
|
|
struct LpDistanceTraits
|
|
{
|
|
static constexpr auto name = "LpDistance";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionLpDistance::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayLpDistance;
|
|
};
|
|
|
|
struct LinfDistanceTraits
|
|
{
|
|
static constexpr auto name = "LinfDistance";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionLinfDistance::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayLinfDistance;
|
|
};
|
|
|
|
struct CosineDistanceTraits
|
|
{
|
|
static constexpr auto name = "cosineDistance";
|
|
|
|
static constexpr auto CreateTupleFunction = FunctionCosineDistance::create;
|
|
static constexpr auto CreateArrayFunction = createFunctionArrayCosineDistance;
|
|
};
|
|
|
|
using TupleOrArrayFunctionL1Norm = TupleOrArrayFunction<L1NormTraits>;
|
|
using TupleOrArrayFunctionL2Norm = TupleOrArrayFunction<L2NormTraits>;
|
|
using TupleOrArrayFunctionL2SquaredNorm = TupleOrArrayFunction<L2SquaredNormTraits>;
|
|
using TupleOrArrayFunctionLpNorm = TupleOrArrayFunction<LpNormTraits>;
|
|
using TupleOrArrayFunctionLinfNorm = TupleOrArrayFunction<LinfNormTraits>;
|
|
|
|
using TupleOrArrayFunctionL1Distance = TupleOrArrayFunction<L1DistanceTraits>;
|
|
using TupleOrArrayFunctionL2Distance = TupleOrArrayFunction<L2DistanceTraits>;
|
|
using TupleOrArrayFunctionL2SquaredDistance = TupleOrArrayFunction<L2SquaredDistanceTraits>;
|
|
using TupleOrArrayFunctionLpDistance = TupleOrArrayFunction<LpDistanceTraits>;
|
|
using TupleOrArrayFunctionLinfDistance = TupleOrArrayFunction<LinfDistanceTraits>;
|
|
using TupleOrArrayFunctionCosineDistance = TupleOrArrayFunction<CosineDistanceTraits>;
|
|
|
|
REGISTER_FUNCTION(VectorFunctions)
|
|
{
|
|
factory.registerFunction<FunctionTuplePlus>();
|
|
factory.registerAlias("vectorSum", FunctionTuplePlus::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerFunction<FunctionTupleMinus>();
|
|
factory.registerAlias("vectorDifference", FunctionTupleMinus::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerFunction<FunctionTupleMultiply>();
|
|
factory.registerFunction<FunctionTupleDivide>();
|
|
factory.registerFunction<FunctionTupleNegate>();
|
|
|
|
factory.registerFunction<FunctionAddTupleOfIntervals>(
|
|
{
|
|
R"(
|
|
Consecutively adds a tuple of intervals to a Date or a DateTime.
|
|
[example:tuple]
|
|
)",
|
|
Documentation::Examples{
|
|
{"tuple", "WITH toDate('2018-01-01') AS date SELECT addTupleOfIntervals(date, (INTERVAL 1 DAY, INTERVAL 1 YEAR))"},
|
|
},
|
|
Documentation::Categories{"Tuple", "Interval", "Date", "DateTime"}
|
|
});
|
|
|
|
factory.registerFunction<FunctionSubtractTupleOfIntervals>(
|
|
{
|
|
R"(
|
|
Consecutively subtracts a tuple of intervals from a Date or a DateTime.
|
|
[example:tuple]
|
|
)",
|
|
Documentation::Examples{
|
|
{"tuple", "WITH toDate('2018-01-01') AS date SELECT subtractTupleOfIntervals(date, (INTERVAL 1 DAY, INTERVAL 1 YEAR))"},
|
|
},
|
|
Documentation::Categories{"Tuple", "Interval", "Date", "DateTime"}
|
|
});
|
|
|
|
factory.registerFunction<FunctionTupleAddInterval>(
|
|
{
|
|
R"(
|
|
Adds an interval to another interval or tuple of intervals. The returned value is tuple of intervals.
|
|
[example:tuple]
|
|
[example:interval1]
|
|
|
|
If the types of the first interval (or the interval in the tuple) and the second interval are the same they will be merged into one interval.
|
|
[example:interval2]
|
|
)",
|
|
Documentation::Examples{
|
|
{"tuple", "SELECT addInterval((INTERVAL 1 DAY, INTERVAL 1 YEAR), INTERVAL 1 MONTH)"},
|
|
{"interval1", "SELECT addInterval(INTERVAL 1 DAY, INTERVAL 1 MONTH)"},
|
|
{"interval2", "SELECT addInterval(INTERVAL 1 DAY, INTERVAL 1 DAY)"},
|
|
},
|
|
Documentation::Categories{"Tuple", "Interval"}
|
|
});
|
|
factory.registerFunction<FunctionTupleSubtractInterval>(
|
|
{
|
|
R"(
|
|
Adds an negated interval to another interval or tuple of intervals. The returned value is tuple of intervals.
|
|
[example:tuple]
|
|
[example:interval1]
|
|
|
|
If the types of the first interval (or the interval in the tuple) and the second interval are the same they will be merged into one interval.
|
|
[example:interval2]
|
|
)",
|
|
Documentation::Examples{
|
|
{"tuple", "SELECT subtractInterval((INTERVAL 1 DAY, INTERVAL 1 YEAR), INTERVAL 1 MONTH)"},
|
|
{"interval1", "SELECT subtractInterval(INTERVAL 1 DAY, INTERVAL 1 MONTH)"},
|
|
{"interval2", "SELECT subtractInterval(INTERVAL 2 DAY, INTERVAL 1 DAY)"},
|
|
},
|
|
Documentation::Categories{"Tuple", "Interval"}
|
|
});
|
|
|
|
factory.registerFunction<FunctionTupleMultiplyByNumber>();
|
|
factory.registerFunction<FunctionTupleDivideByNumber>();
|
|
|
|
factory.registerFunction<FunctionDotProduct>();
|
|
factory.registerAlias("scalarProduct", FunctionDotProduct::name, FunctionFactory::CaseInsensitive);
|
|
|
|
factory.registerFunction<TupleOrArrayFunctionL1Norm>();
|
|
factory.registerFunction<TupleOrArrayFunctionL2Norm>();
|
|
factory.registerFunction<TupleOrArrayFunctionL2SquaredNorm>();
|
|
factory.registerFunction<TupleOrArrayFunctionLinfNorm>();
|
|
factory.registerFunction<TupleOrArrayFunctionLpNorm>();
|
|
|
|
factory.registerAlias("normL1", TupleOrArrayFunctionL1Norm::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normL2", TupleOrArrayFunctionL2Norm::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normL2Squared", TupleOrArrayFunctionL2SquaredNorm::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normLinf", TupleOrArrayFunctionLinfNorm::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normLp", FunctionLpNorm::name, FunctionFactory::CaseInsensitive);
|
|
|
|
factory.registerFunction<TupleOrArrayFunctionL1Distance>();
|
|
factory.registerFunction<TupleOrArrayFunctionL2Distance>();
|
|
factory.registerFunction<TupleOrArrayFunctionL2SquaredDistance>();
|
|
factory.registerFunction<TupleOrArrayFunctionLinfDistance>();
|
|
factory.registerFunction<TupleOrArrayFunctionLpDistance>();
|
|
|
|
factory.registerAlias("distanceL1", FunctionL1Distance::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("distanceL2", FunctionL2Distance::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("distanceL2Squared", FunctionL2SquaredDistance::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("distanceLinf", FunctionLinfDistance::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("distanceLp", FunctionLpDistance::name, FunctionFactory::CaseInsensitive);
|
|
|
|
factory.registerFunction<FunctionL1Normalize>();
|
|
factory.registerFunction<FunctionL2Normalize>();
|
|
factory.registerFunction<FunctionLinfNormalize>();
|
|
factory.registerFunction<FunctionLpNormalize>();
|
|
|
|
factory.registerAlias("normalizeL1", FunctionL1Normalize::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normalizeL2", FunctionL2Normalize::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normalizeLinf", FunctionLinfNormalize::name, FunctionFactory::CaseInsensitive);
|
|
factory.registerAlias("normalizeLp", FunctionLpNormalize::name, FunctionFactory::CaseInsensitive);
|
|
|
|
factory.registerFunction<TupleOrArrayFunctionCosineDistance>();
|
|
}
|
|
}
|