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mirror of https://github.com/mariadb-corporation/mariadb-columnstore-engine.git synced 2025-08-01 06:46:55 +03:00

MCOL-1348 Add multiply UDAF calls support.

This commit is contained in:
Roman Nozdrin
2018-04-24 15:14:08 +03:00
parent 3e8fed9170
commit 51715c76ee

View File

@ -958,6 +958,7 @@ void TupleAggregateStep::prep1PhaseAggregate(
vector<SP_ROWAGG_FUNC_t> functionVec;
uint32_t bigIntWidth = sizeof(int64_t);
uint32_t bigUintWidth = sizeof(uint64_t);
uint32_t projColsUDAFIndex = 0;
mcsv1sdk::mcsv1_UDAF* pUDAFFunc = NULL;
// for count column of average function
@ -1135,18 +1136,27 @@ void TupleAggregateStep::prep1PhaseAggregate(
SP_ROWAGG_FUNC_t funct;
if (aggOp == ROWAGG_UDAF)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>(jobInfo.projectionCols[i].get());
if (udafc)
{
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, i));
}
else
{
throw logic_error("prep1PhasesAggregate: A UDAF function is called but there's no UDAFColumn");
}
}
{
std::vector<SRCP>::iterator it = jobInfo.projectionCols.begin() + projColsUDAFIndex;
for (; it != jobInfo.projectionCols.end(); it++)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>((*it).get());
projColsUDAFIndex++;
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, i));
break;
}
}
if (it == jobInfo.projectionCols.end())
{
throw logic_error("prep1PhaseAggregate: A UDAF function is called but there's no/not enough UDAFColumn/-s");
}
}
else
{
funct.reset(new RowAggFunctionCol(aggOp, stats, colProj, i));
@ -1484,6 +1494,7 @@ void TupleAggregateStep::prep1PhaseDistinctAggregate(
AGG_MAP aggFuncMap;
mcsv1sdk::mcsv1_UDAF* pUDAFFunc = NULL;
set<uint32_t> avgSet;
uint32_t projColsUDAFIndex = 0;
// for count column of average function
map<uint32_t, SP_ROWAGG_FUNC_t> avgFuncMap, avgDistFuncMap;
@ -1636,19 +1647,27 @@ void TupleAggregateStep::prep1PhaseDistinctAggregate(
SP_ROWAGG_FUNC_t funct;
if (aggOp == ROWAGG_UDAF)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>(jobInfo.projectionCols[i].get());
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, colAgg));
}
else
{
throw logic_error("prep1PhaseDistinctAggregate: A UDAF function is called but there's no UDAFColumn");
}
}
{
std::vector<SRCP>::iterator it = jobInfo.projectionCols.begin() + projColsUDAFIndex;
for (; it != jobInfo.projectionCols.end(); it++)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>((*it).get());
projColsUDAFIndex++;
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, colAgg));
break;
}
}
if (it == jobInfo.projectionCols.end())
{
throw logic_error("prep1PhaseDistinctAggregate: A UDAF function is called but there's no/not enough UDAFColumn/-s");
}
}
else
{
funct.reset(new RowAggFunctionCol(aggOp, stats, colProj, colAgg));
@ -2579,6 +2598,7 @@ void TupleAggregateStep::prep2PhasesAggregate(
vector<pair<uint32_t, int> > aggColVec;
set<uint32_t> avgSet;
vector<std::pair<uint32_t, int> >& returnedColVec = jobInfo.returnedColVec;
uint32_t projColsUDAFIndex = 0;
for (uint64_t i = 0; i < returnedColVec.size(); i++)
{
// skip if not an aggregation column
@ -2746,18 +2766,26 @@ void TupleAggregateStep::prep2PhasesAggregate(
SP_ROWAGG_FUNC_t funct;
if (aggOp == ROWAGG_UDAF)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>(jobInfo.projectionCols[i].get());
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, colAggPm));
}
else
{
throw logic_error("prep2PhasesAggregate: A UDAF function is called but there's no UDAFColumn");
}
}
std::vector<SRCP>::iterator it = jobInfo.projectionCols.begin() + projColsUDAFIndex;
for (; it != jobInfo.projectionCols.end(); it++)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>((*it).get());
projColsUDAFIndex++;
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, colAggPm));
break;
}
}
if (it == jobInfo.projectionCols.end())
{
throw logic_error("prep2PhasesAggregate: A UDAF function is called but there's no/not enough UDAFColumn/-s");
}
}
else
{
funct.reset(new RowAggFunctionCol(aggOp, stats, colProj, colAggPm));
@ -3301,6 +3329,7 @@ void TupleAggregateStep::prep2PhasesDistinctAggregate(
vector<pair<uint32_t, int> > aggColVec, aggNoDistColVec;
set<uint32_t> avgSet, avgDistSet;
vector<std::pair<uint32_t, int> >& returnedColVec = jobInfo.returnedColVec;
uint32_t projColsUDAFIndex = 0;
for (uint64_t i = 0; i < returnedColVec.size(); i++)
{
// col should be an aggregate or groupBy or window function
@ -3498,18 +3527,25 @@ void TupleAggregateStep::prep2PhasesDistinctAggregate(
SP_ROWAGG_FUNC_t funct;
if (aggOp == ROWAGG_UDAF)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>(jobInfo.projectionCols[i].get());
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, colAggPm));
}
else
{
throw logic_error("prep2PhasesDistinctAggregate: A UDAF function is called but there's no UDAFColumn");
}
}
std::vector<SRCP>::iterator it = jobInfo.projectionCols.begin() + projColsUDAFIndex;
for (; it != jobInfo.projectionCols.end(); it++)
{
UDAFColumn* udafc = dynamic_cast<UDAFColumn*>((*it).get());
projColsUDAFIndex++;
if (udafc)
{
pUDAFFunc = udafc->getContext().getFunction();
// Create a RowAggFunctionCol (UDAF subtype) with the context.
funct.reset(new RowUDAFFunctionCol(udafc->getContext(), colProj, colAggPm));
break;
}
}
if (it == jobInfo.projectionCols.end())
{
throw logic_error("prep2PhasesDistinctAggregate: A UDAF function is called but there's no/not enough UDAFColumn/-s");
}
}
else
{
funct.reset(new RowAggFunctionCol(aggOp, stats, colProj, colAggPm));