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clang format apply

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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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181
utils/regr/regr_intercept.cpp
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@ -26,11 +26,11 @@ using namespace mcsv1sdk;
class Add_regr_intercept_ToUDAFMap
{
public:
Add_regr_intercept_ToUDAFMap()
{
UDAFMap::getMap()["regr_intercept"] = new regr_intercept();
}
public:
Add_regr_intercept_ToUDAFMap()
{
UDAFMap::getMap()["regr_intercept"] = new regr_intercept();
}
};
static Add_regr_intercept_ToUDAFMap addToMap;
@ -38,123 +38,120 @@ static Add_regr_intercept_ToUDAFMap addToMap;
// Use the simple data model
struct regr_intercept_data
{
uint64_t cnt;
long double sumx;
long double sumx2; // sum of (x squared)
long double sumy;
long double sumxy; // sum of x * y
uint64_t cnt;
long double sumx;
long double sumx2; // sum of (x squared)
long double sumy;
long double sumxy; // sum of x * y
};
mcsv1_UDAF::ReturnCode regr_intercept::init(mcsv1Context* context,
ColumnDatum* colTypes)
mcsv1_UDAF::ReturnCode regr_intercept::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_intercept() with other than 2 arguments");
return mcsv1_UDAF::ERROR;
}
if (!(isNumeric(colTypes[0].dataType) && isNumeric(colTypes[1].dataType)))
{
// The error message will be prepended with
// "The storage engine for the table doesn't support "
context->setErrorMessage("regr_intercept() with non-numeric arguments");
return mcsv1_UDAF::ERROR;
}
context->setUserDataSize(sizeof(regr_intercept_data));
context->setResultType(execplan::CalpontSystemCatalog::DOUBLE);
context->setColWidth(8);
context->setScale(DECIMAL_NOT_SPECIFIED);
context->setPrecision(0);
context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS);
return mcsv1_UDAF::SUCCESS;
if (context->getParameterCount() != 2)
{
// The error message will be prepended with
// "The storage engine for the table doesn't support "
context->setErrorMessage("regr_intercept() with other than 2 arguments");
return mcsv1_UDAF::ERROR;
}
if (!(isNumeric(colTypes[0].dataType) && isNumeric(colTypes[1].dataType)))
{
// The error message will be prepended with
// "The storage engine for the table doesn't support "
context->setErrorMessage("regr_intercept() with non-numeric arguments");
return mcsv1_UDAF::ERROR;
}
context->setUserDataSize(sizeof(regr_intercept_data));
context->setResultType(execplan::CalpontSystemCatalog::DOUBLE);
context->setColWidth(8);
context->setScale(DECIMAL_NOT_SPECIFIED);
context->setPrecision(0);
context->setRunFlag(mcsv1sdk::UDAF_IGNORE_NULLS);
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_intercept::reset(mcsv1Context* context)
{
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
data->cnt = 0;
data->sumx = 0.0;
data->sumx2 = 0.0;
data->sumy = 0.0;
data->sumxy = 0.0;
return mcsv1_UDAF::SUCCESS;
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
data->cnt = 0;
data->sumx = 0.0;
data->sumx2 = 0.0;
data->sumy = 0.0;
data->sumxy = 0.0;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_intercept::nextValue(mcsv1Context* context, ColumnDatum* valsIn)
{
double valy = toDouble(valsIn[0]);
double valx = toDouble(valsIn[1]);
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
double valy = toDouble(valsIn[0]);
double valx = toDouble(valsIn[1]);
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
data->sumy += valy;
data->sumx += valx;
data->sumx2 += valx*valx;
data->sumy += valy;
data->sumx += valx;
data->sumx2 += valx * valx;
data->sumxy += valx*valy;
++data->cnt;
return mcsv1_UDAF::SUCCESS;
data->sumxy += valx * valy;
++data->cnt;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_intercept::subEvaluate(mcsv1Context* context, const UserData* userDataIn)
{
if (!userDataIn)
{
return mcsv1_UDAF::SUCCESS;
}
struct regr_intercept_data* outData = (struct regr_intercept_data*)context->getUserData()->data;
struct regr_intercept_data* inData = (struct regr_intercept_data*)userDataIn->data;
outData->sumx += inData->sumx;
outData->sumx2 += inData->sumx2;
outData->sumy += inData->sumy;
outData->sumxy += inData->sumxy;
outData->cnt += inData->cnt;
if (!userDataIn)
{
return mcsv1_UDAF::SUCCESS;
}
struct regr_intercept_data* outData = (struct regr_intercept_data*)context->getUserData()->data;
struct regr_intercept_data* inData = (struct regr_intercept_data*)userDataIn->data;
outData->sumx += inData->sumx;
outData->sumx2 += inData->sumx2;
outData->sumy += inData->sumy;
outData->sumxy += inData->sumxy;
outData->cnt += inData->cnt;
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_intercept::evaluate(mcsv1Context* context, static_any::any& valOut)
{
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
long double N = data->cnt;
if (N > 1)
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
long double N = data->cnt;
if (N > 1)
{
long double sumx = data->sumx;
long double sumy = data->sumy;
long double sumx2 = data->sumx2;
long double sumxy = data->sumxy;
// regr_intercept is AVG(y) - slope(y,x)*avg(x)
// We do some algebra and we can get a slightly smaller calculation
long double numerator = sumy * sumx2 - sumx * sumxy;
long double var_pop =
(N * sumx2) - (sumx * sumx); // Not realy var_pop, but sort of after some reductions
if (var_pop > 0)
{
long double sumx = data->sumx;
long double sumy = data->sumy;
long double sumx2 = data->sumx2;
long double sumxy = data->sumxy;
// regr_intercept is AVG(y) - slope(y,x)*avg(x)
// We do some algebra and we can get a slightly smaller calculation
long double numerator = sumy * sumx2 - sumx * sumxy;
long double var_pop = (N * sumx2) - (sumx * sumx); // Not realy var_pop, but sort of after some reductions
if (var_pop > 0)
{
valOut = static_cast<double>(numerator / var_pop);
}
valOut = static_cast<double>(numerator / var_pop);
}
return mcsv1_UDAF::SUCCESS;
}
return mcsv1_UDAF::SUCCESS;
}
mcsv1_UDAF::ReturnCode regr_intercept::dropValue(mcsv1Context* context, ColumnDatum* valsDropped)
{
double valy = toDouble(valsDropped[0]);
double valx = toDouble(valsDropped[1]);
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
double valy = toDouble(valsDropped[0]);
double valx = toDouble(valsDropped[1]);
struct regr_intercept_data* data = (struct regr_intercept_data*)context->getUserData()->data;
data->sumy -= valy;
data->sumx -= valx;
data->sumx2 -= valx*valx;
data->sumy -= valy;
data->sumx -= valx;
data->sumx2 -= valx * valx;
data->sumxy -= valx*valy;
--data->cnt;
data->sumxy -= valx * valy;
--data->cnt;
return mcsv1_UDAF::SUCCESS;
return mcsv1_UDAF::SUCCESS;
}