ClickHouse/src/Functions/FunctionUnixTimestamp64.h

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