database/mariadb-columnstore-engine
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This commit is contained in:
Leonid Fedorov
2022-01-21 16:43:49 +00:00
parent 6b6411229f
commit 04752ec546
1376 changed files with 393460 additions and 412662 deletions
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128
utils/regr/regr_avgx.cpp
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@ -26,11 +26,11 @@ using namespace mcsv1sdk;
class Add_regr_avgx_ToUDAFMap
{
public:
Add_regr_avgx_ToUDAFMap()
{
UDAFMap::getMap()["regr_avgx"] = new regr_avgx();
}
public:
Add_regr_avgx_ToUDAFMap()
{
UDAFMap::getMap()["regr_avgx"] = new regr_avgx();
}
};
static Add_regr_avgx_ToUDAFMap addToMap;
@ -40,97 +40,93 @@ static Add_regr_avgx_ToUDAFMap addToMap;
// Use the simple data model
struct regr_avgx_data
{
long double sum;
uint64_t cnt;
long double sum;
uint64_t cnt;
};
mcsv1_UDAF::ReturnCode regr_avgx::init(mcsv1Context* context,
ColumnDatum* colTypes)
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 (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(execplan::CalpontSystemCatalog::DOUBLE);
context->setColWidth(8);
context->setScale(colTypes[1].scale + 4);
context->setPrecision(19);
context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS);
return mcsv1_UDAF::SUCCESS;
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(execplan::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;
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)
{
DATATYPE val = toDouble(valsIn[1]);
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
DATATYPE val = toDouble(valsIn[1]);
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
data->sum += val;
++data->cnt;
data->sum += val;
++data->cnt;
return mcsv1_UDAF::SUCCESS;
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;
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;
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
if (data->cnt > 0)
{
valOut = static_cast<double>(data->sum / (long double)data->cnt);
}
if (data->cnt > 0)
{
valOut = static_cast<double>(data->sum / (long double)data->cnt);
}
return mcsv1_UDAF::SUCCESS;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_avgx::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
{
double val = toDouble(valsDropped[1]);
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
double val = toDouble(valsDropped[1]);
struct regr_avgx_data* data = (struct regr_avgx_data*)context->getUserData()->data;
data->sum -= val;
--data->cnt;
data->sum -= val;
--data->cnt;
return mcsv1_UDAF::SUCCESS;
return mcsv1_UDAF::SUCCESS;
}