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#include <DataTypes/DataTypeDate.h>
#include <DataTypes/DataTypeDateTime.h>
#include <DataTypes/DataTypeDateTime64.h>
#include <DataTypes/DataTypeLowCardinality.h>
#include <DataTypes/DataTypeString.h>
#include <DataTypes/DataTypesNumber.h>
#include <Interpreters/AsynchronousMetricLog.h>
#include <Common/AsynchronousMetrics.h>
namespace DB
{
NamesAndTypesList AsynchronousMetricLogElement::getNamesAndTypes()
{
return
{
{"event_date", std::make_shared<DataTypeDate>()},
{"event_time", std::make_shared<DataTypeDateTime>()},
{"metric", std::make_shared<DataTypeLowCardinality>(std::make_shared<DataTypeString>())},
{"value", std::make_shared<DataTypeFloat64>(),}
};
}
void AsynchronousMetricLogElement::appendToBlock(MutableColumns & columns) const
{
size_t column_idx = 0;
columns[column_idx++]->insert(event_date);
columns[column_idx++]->insert(event_time);
columns[column_idx++]->insert(metric_name);
columns[column_idx++]->insert(value);
}
void AsynchronousMetricLog::addValues(const AsynchronousMetricValues & values)
{
AsynchronousMetricLogElement element;
element.event_time = time(nullptr);
element.event_date = DateLUT::instance().toDayNum(element.event_time);
/// We will round the values to make them compress better in the table.
/// Note: as an alternative we can also use fixed point Decimal data type,
/// but we need to store up to UINT64_MAX sometimes.
static constexpr double precision = 1000.0;
for (const auto & [key, value] : values)
{
element.metric_name = key;
element.value = round(value.value * precision) / precision;
add(element);
}
}
}
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