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MCOL-521 Move regr functions to their own directrory

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This commit is contained in:
David Hall
2018-08-16 11:56:48 -05:00
parent 611cdb204d
commit 94455246a1
10 changed files with 1203 additions and 2 deletions
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285
utils/regr/regr_avgx.cpp Normal file
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/* Copyright (C) 2017 MariaDB Corporaton
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; version 2 of
the License.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston,
MA 02110-1301, USA. */
#include <sstream>
#include <cstring>
#include <typeinfo>
#include "regr_avgx.h"
#include "bytestream.h"
#include "objectreader.h"
using namespace mcsv1sdk;
class Add_regr_avgx_ToUDAFMap
{
public:
Add_regr_avgx_ToUDAFMap()
{
UDAFMap::getMap()["regr_avgx"] = new regr_avgx();
}
};
static Add_regr_avgx_ToUDAFMap addToMap;
#define DATATYPE double
// Use the simple data model
struct regr_avgx_data
{
double sum;
uint64_t cnt;
};
mcsv1_UDAF::ReturnCode regr_avgx::init(mcsv1Context* context,
ColumnDatum* colTypes)
{
if (context->getParameterCount() != 2)
{
// The error message will be prepended with
// "The storage engine for the table doesn't support "
context->setErrorMessage("regr_avgx() with other than 2 arguments");
return mcsv1_UDAF::ERROR;
}
if (!(isNumeric(colTypes[1].dataType)))
{
// The error message will be prepended with
// "The storage engine for the table doesn't support "
context->setErrorMessage("regr_avgx() with a non-numeric x argument");
return mcsv1_UDAF::ERROR;
}
context->setUserDataSize(sizeof(regr_avgx_data));
context->setResultType(CalpontSystemCatalog::DOUBLE);
context->setColWidth(8);
context->setScale(colTypes[1].scale + 4);
context->setPrecision(19);
context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS);
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_avgx::reset(mcsv1Context* context)
{
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
data->sum = 0;
data->cnt = 0;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_avgx::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
{
static_any::any& valIn_y = valsIn[0].columnData;
static_any::any& valIn_x = valsIn[1].columnData;
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
DATATYPE val = 0.0;
if (context->isParamNull(0) || context->isParamNull(1))
{
return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
}
if (valIn_x.empty() || valIn_y.empty()) // Usually empty if NULL. Probably redundant
{
return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
}
if (valIn_x.compatible(longTypeId))
{
val = valIn_x.cast<long>();
}
else if (valIn_x.compatible(charTypeId))
{
val = valIn_x.cast<char>();
}
else if (valIn_x.compatible(scharTypeId))
{
val = valIn_x.cast<signed char>();
}
else if (valIn_x.compatible(shortTypeId))
{
val = valIn_x.cast<short>();
}
else if (valIn_x.compatible(intTypeId))
{
val = valIn_x.cast<int>();
}
else if (valIn_x.compatible(llTypeId))
{
val = valIn_x.cast<long long>();
}
else if (valIn_x.compatible(ucharTypeId))
{
val = valIn_x.cast<unsigned char>();
}
else if (valIn_x.compatible(ushortTypeId))
{
val = valIn_x.cast<unsigned short>();
}
else if (valIn_x.compatible(uintTypeId))
{
val = valIn_x.cast<unsigned int>();
}
else if (valIn_x.compatible(ulongTypeId))
{
val = valIn_x.cast<unsigned long>();
}
else if (valIn_x.compatible(ullTypeId))
{
val = valIn_x.cast<unsigned long long>();
}
else if (valIn_x.compatible(floatTypeId))
{
val = valIn_x.cast<float>();
}
else if (valIn_x.compatible(doubleTypeId))
{
val = valIn_x.cast<double>();
}
// For decimal types, we need to move the decimal point.
uint32_t scale = valsIn[1].scale;
if (val != 0 && scale > 0)
{
val /= pow(10.0, (double)scale);
}
data->sum += val;
++data->cnt;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_avgx::subEvaluate(mcsv1Context* context, const UserData* userDataIn)
{
if (!userDataIn)
{
return mcsv1_UDAF::SUCCESS;
}
struct regr_avgx_data* outData = (struct regr_avgx_data*)context->getUserData()->data;
struct regr_avgx_data* inData = (struct regr_avgx_data*)userDataIn->data;
outData->sum += inData->sum;
outData->cnt += inData->cnt;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_avgx::evaluate(mcsv1Context* context, static_any::any& valOut)
{
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
if (data->cnt == 0)
{
valOut = 0;
}
else
{
valOut = data->sum / (double)data->cnt;
}
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_avgx::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
{
static_any::any& valIn_y = valsDropped[0].columnData;
static_any::any& valIn_x = valsDropped[1].columnData;
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
DATATYPE val = 0.0;
if (context->isParamNull(0) || context->isParamNull(1))
{
return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
}
if (valIn_x.empty() || valIn_y.empty())
{
return mcsv1_UDAF::SUCCESS; // Ought not happen when UDAF_IGNORE_NULLS is on.
}
if (valIn_x.compatible(charTypeId))
{
val = valIn_x.cast<char>();
}
else if (valIn_x.compatible(scharTypeId))
{
val = valIn_x.cast<signed char>();
}
else if (valIn_x.compatible(shortTypeId))
{
val = valIn_x.cast<short>();
}
else if (valIn_x.compatible(intTypeId))
{
val = valIn_x.cast<int>();
}
else if (valIn_x.compatible(longTypeId))
{
val = valIn_x.cast<long>();
}
else if (valIn_x.compatible(llTypeId))
{
val = valIn_x.cast<long long>();
}
else if (valIn_x.compatible(ucharTypeId))
{
val = valIn_x.cast<unsigned char>();
}
else if (valIn_x.compatible(ushortTypeId))
{
val = valIn_x.cast<unsigned short>();
}
else if (valIn_x.compatible(uintTypeId))
{
val = valIn_x.cast<unsigned int>();
}
else if (valIn_x.compatible(ulongTypeId))
{
val = valIn_x.cast<unsigned long>();
}
else if (valIn_x.compatible(ullTypeId))
{
val = valIn_x.cast<unsigned long long>();
}
else if (valIn_x.compatible(floatTypeId))
{
val = valIn_x.cast<float>();
}
else if (valIn_x.compatible(doubleTypeId))
{
val = valIn_x.cast<double>();
}
// For decimal types, we need to move the decimal point.
uint32_t scale = valsDropped[1].scale;
if (val != 0 && scale > 0)
{
val /= pow(10.0, (double)scale);
}
data->sum -= val;
--data->cnt;
return mcsv1_UDAF::SUCCESS;
}