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139 lines
4.9 KiB
C++
139 lines
4.9 KiB
C++
#pragma once
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#include <Functions/extractTimeZoneFromFunctionArguments.h>
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#include <Functions/IFunction.h>
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#include <Functions/FunctionHelpers.h>
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#include <DataTypes/DataTypeDateTime64.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <Columns/ColumnsNumber.h>
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#include <base/arithmeticOverflow.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 NUMBER_OF_ARGUMENTS_DOESNT_MATCH;
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int DECIMAL_OVERFLOW;
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}
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/// Cast DateTime64 to Int64 representation narrowed down (or scaled up) to any scale value defined in Impl.
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class FunctionToUnixTimestamp64 : public IFunction
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{
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private:
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size_t target_scale;
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const char * name;
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public:
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FunctionToUnixTimestamp64(size_t target_scale_, const char * name_)
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: target_scale(target_scale_), name(name_)
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{
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}
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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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bool isVariadic() const override { return false; }
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bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; }
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bool useDefaultImplementationForConstants() const override { return true; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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if (!isDateTime64(arguments[0].type))
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "The only argument for function {} must be DateTime64", name);
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return std::make_shared<DataTypeInt64>();
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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 & src = arguments[0];
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const auto & col = *src.column;
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auto res_column = ColumnInt64::create(input_rows_count);
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auto & result_data = res_column->getData();
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const auto & source_data = typeid_cast<const ColumnDecimal<DateTime64> &>(col).getData();
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Int32 scale_diff = typeid_cast<const DataTypeDateTime64 &>(*src.type).getScale() - target_scale;
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if (scale_diff == 0)
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{
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for (size_t i = 0; i < input_rows_count; ++i)
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result_data[i] = source_data[i];
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}
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else if (scale_diff < 0)
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{
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const Int64 scale_multiplier = DecimalUtils::scaleMultiplier<Int64>(-scale_diff);
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for (size_t i = 0; i < input_rows_count; ++i)
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{
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Int64 result_value = source_data[i];
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if (common::mulOverflow(result_value, scale_multiplier, result_value))
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throw Exception("Decimal overflow in " + getName(), ErrorCodes::DECIMAL_OVERFLOW);
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result_data[i] = result_value;
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}
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}
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else
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{
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const Int64 scale_multiplier = DecimalUtils::scaleMultiplier<Int64>(scale_diff);
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for (size_t i = 0; i < input_rows_count; ++i)
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result_data[i] = Int64(source_data[i]) / scale_multiplier;
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}
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return res_column;
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}
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};
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class FunctionFromUnixTimestamp64 : public IFunction
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{
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private:
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size_t target_scale;
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const char * name;
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public:
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FunctionFromUnixTimestamp64(size_t target_scale_, const char * name_)
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: target_scale(target_scale_), name(name_)
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{
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}
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 0; }
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bool isVariadic() const override { return true; }
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bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; }
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bool useDefaultImplementationForConstants() const override { return true; }
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DataTypePtr getReturnTypeImpl(const ColumnsWithTypeAndName & arguments) const override
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{
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if (arguments.size() < 1 || arguments.size() > 2)
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throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "Function {} takes one or two arguments", name);
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if (!typeid_cast<const DataTypeInt64 *>(arguments[0].type.get()))
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "The first argument for function {} must be Int64", name);
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std::string timezone;
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if (arguments.size() == 2)
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timezone = extractTimeZoneNameFromFunctionArguments(arguments, 1, 0);
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return std::make_shared<DataTypeDateTime64>(target_scale, timezone);
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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 & src = arguments[0];
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const auto & col = *src.column;
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auto res_column = ColumnDecimal<DateTime64>::create(input_rows_count, target_scale);
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auto & result_data = res_column->getData();
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const auto & source_data = typeid_cast<const ColumnInt64 &>(col).getData();
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for (size_t i = 0; i < input_rows_count; ++i)
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result_data[i] = source_data[i];
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return res_column;
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}
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};
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}
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