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mirror of https://github.com/mariadb-corporation/mariadb-columnstore-engine.git synced 2025-07-29 08:21:15 +03:00

get rid of pointers for 128 fields

This commit is contained in:
Leonid Fedorov
2022-08-26 15:12:22 +00:00
parent 0863ecd279
commit d2432f9bf6
11 changed files with 40 additions and 82 deletions

View File

@ -32,6 +32,7 @@
#include <cassert>
#include "joblisttypes.h"
#include "mcs_basic_types.h"
#include "resourcemanager.h"
#include "groupconcat.h"
@ -74,9 +75,9 @@ inline bool minMax(T d1, T d2, int type)
return d1 > d2;
}
inline bool minMax(int128_t* d1, int128_t* d2, int type)
inline bool minMax(int128_t d1, int128_t d2, int type)
{
return (type == rowgroup::ROWAGG_MIN) ? *d1 < *d2 : *d1 > *d2;
return (type == rowgroup::ROWAGG_MIN) ? d1 < d2 : d1 > d2;
}
inline int64_t getIntNullValue(int colType)
@ -247,13 +248,12 @@ const static_any::any& RowAggregation::strTypeId(typeStr);
static const string overflowMsg("Aggregation overflow.");
inline void RowAggregation::updateIntMinMax(int128_t* val1, int128_t* val2, int64_t col, int func)
inline void RowAggregation::updateIntMinMax(int128_t val1, int128_t val2, int64_t col, int func)
{
int32_t colOutOffset = fRow.getOffset(col);
if (isNull(fRowGroupOut, fRow, col))
fRow.setBinaryField_offset(val1, sizeof(int128_t), colOutOffset);
fRow.setInt128Field(val1, col);
else if (minMax(val1, val2, func))
fRow.setBinaryField_offset(val1, sizeof(int128_t), colOutOffset);
fRow.setInt128Field(val1, col);
}
inline void RowAggregation::updateIntMinMax(int64_t val1, int64_t val2, int64_t col, int func)
@ -867,8 +867,8 @@ void RowAggregation::initMapData(const Row& rowIn)
{
if (LIKELY(rowIn.getColumnWidth(colIn) == datatypes::MAXDECIMALWIDTH))
{
uint32_t colOutOffset = fRow.getOffset(colOut);
fRow.setBinaryField_offset(rowIn.getTSInt128Field(colIn).getValPtr(), sizeof(int128_t), colOutOffset);
int128_t value = rowIn.getTSInt128Field(colIn).getValue();
fRow.setInt128Field(value, colOut);
}
else if (rowIn.getColumnWidth(colIn) <= datatypes::MAXLEGACYWIDTH)
{
@ -1128,7 +1128,7 @@ void RowAggregation::doMinMax(const Row& rowIn, int64_t colIn, int64_t colOut, i
{
if (LIKELY(rowIn.getColumnWidth(colIn) == datatypes::MAXDECIMALWIDTH))
{
updateIntMinMax(rowIn.getTSInt128Field(colIn).getValPtr(), fRow.getTSInt128Field(colOut).getValPtr(), colOut,
updateIntMinMax(rowIn.getTSInt128Field(colIn).getValue(), fRow.getTSInt128Field(colOut).getValue(), colOut,
funcType);
}
else if (rowIn.getColumnWidth(colIn) <= datatypes::MAXLEGACYWIDTH)
@ -1226,7 +1226,7 @@ void RowAggregation::doSum(const Row& rowIn, int64_t colIn, int64_t colOut, int
datatypes::SystemCatalog::ColDataType colDataType = rowIn.getColType(colIn);
long double valIn = 0;
bool isWideDataType = false;
void* wideValInPtr = nullptr;
int128_t wideValue = 0;
if (rowIn.isNullValue(colIn))
return;
@ -1260,8 +1260,7 @@ void RowAggregation::doSum(const Row& rowIn, int64_t colIn, int64_t colOut, int
isWideDataType = width == datatypes::MAXDECIMALWIDTH;
if (LIKELY(isWideDataType))
{
int128_t* dec = rowIn.getTSInt128Field(colIn).getValPtr();
wideValInPtr = reinterpret_cast<void*>(dec);
wideValue = rowIn.getTSInt128Field(colIn).getValue();
}
else if (width <= datatypes::MAXLEGACYWIDTH)
{
@ -1341,16 +1340,15 @@ void RowAggregation::doSum(const Row& rowIn, int64_t colIn, int64_t colOut, int
}
else if (isWideDataType)
{
int128_t* dec = reinterpret_cast<int128_t*>(wideValInPtr);
if (LIKELY(!isNull(fRowGroupOut, fRow, colOut)))
{
int128_t valOut = fRow.getTSInt128Field(colOut).getValue();
int128_t sum = valOut + *dec;
fRow.setBinaryField(&sum, colOut);
int128_t sum = valOut + wideValue;
fRow.setInt128Field(sum, colOut);
}
else
{
fRow.setBinaryField(dec, colOut);
fRow.setInt128Field(wideValue, colOut);
}
}
else
@ -1762,7 +1760,7 @@ void RowAggregation::doAvg(const Row& rowIn, int64_t colIn, int64_t colOut, int6
datatypes::SystemCatalog::ColDataType colDataType = rowIn.getColType(colIn);
long double valIn = 0;
bool isWideDataType = false;
void* wideValInPtr = nullptr;
int128_t wideValue = 0;
switch (colDataType)
{
@ -1793,8 +1791,7 @@ void RowAggregation::doAvg(const Row& rowIn, int64_t colIn, int64_t colOut, int6
isWideDataType = width == datatypes::MAXDECIMALWIDTH;
if (LIKELY(isWideDataType))
{
int128_t* dec = rowIn.getTSInt128Field(colIn).getValPtr();
wideValInPtr = reinterpret_cast<void*>(dec);
wideValue = rowIn.getTSInt128Field(colIn).getValue();
}
else if (width <= datatypes::MAXLEGACYWIDTH)
{
@ -1871,16 +1868,15 @@ void RowAggregation::doAvg(const Row& rowIn, int64_t colIn, int64_t colOut, int6
}
else if (isWideDataType)
{
int128_t* dec = reinterpret_cast<int128_t*>(wideValInPtr);
if (LIKELY(notFirstValue))
{
int128_t valOut = fRow.getTSInt128Field(colOut).getValue();
int128_t sum = valOut + *dec;
fRow.setBinaryField(&sum, colOut);
int128_t sum = valOut + wideValue;
fRow.setInt128Field(sum, colOut);
}
else
{
fRow.setBinaryField(dec, colOut);
fRow.setInt128Field(wideValue, colOut);
}
}
else
@ -2618,21 +2614,20 @@ void RowAggregationUM::calculateAvgColumns()
}
else
{
uint32_t offset = fRow.getOffset(colOut);
uint32_t scale = fRow.getScale(colOut);
// Get multiplied to deliver AVG with the scale closest
// to the expected original scale + 4.
// There is a counterpart in buildAggregateColumn.
datatypes::Decimal::setScalePrecision4Avg(precision, scale);
int128_t* sumPnt = fRow.getBinaryField_offset<int128_t>(offset);
int128_t sumPnt = fRow.getTSInt128Field(colOut).getValue();
uint32_t scaleDiff = scale - fRow.getScale(colOut);
// multiplication overflow check
datatypes::MultiplicationOverflowCheck multOp;
int128_t sum = 0;
if (scaleDiff > 0)
multOp(*sumPnt, datatypes::mcs_pow_10[scaleDiff], sum);
multOp(sumPnt, datatypes::mcs_pow_10[scaleDiff], sum);
else
sum = *sumPnt;
sum = sumPnt;
datatypes::lldiv_t_128 avgAndRem = datatypes::lldiv128(sum, cnt);
// Round the last digit
if (datatypes::abs(avgAndRem.rem) * 2 >= (int128_t)cnt)
@ -2646,7 +2641,7 @@ void RowAggregationUM::calculateAvgColumns()
avgAndRem.quot++;
}
}
fRow.setBinaryField_offset(&avgAndRem.quot, sizeof(avgAndRem.quot), offset);
fRow.setInt128Field(avgAndRem.quot, colOut);
}
}
}
@ -4151,7 +4146,7 @@ void RowAggregationUMP2::doAvg(const Row& rowIn, int64_t colIn, int64_t colOut,
datatypes::SystemCatalog::ColDataType colDataType = rowIn.getColType(colIn);
long double valIn = 0;
bool isWideDataType = false;
void* wideValInPtr = nullptr;
int128_t wideValue = 0;
switch (colDataType)
{
@ -4182,8 +4177,7 @@ void RowAggregationUMP2::doAvg(const Row& rowIn, int64_t colIn, int64_t colOut,
isWideDataType = width == datatypes::MAXDECIMALWIDTH;
if (LIKELY(isWideDataType))
{
int128_t* dec = rowIn.getTSInt128Field(colIn).getValPtr();
wideValInPtr = reinterpret_cast<void*>(dec);
wideValue = rowIn.getTSInt128Field(colIn).getValue();
}
else if (width <= datatypes::MAXLEGACYWIDTH)
{
@ -4250,17 +4244,16 @@ void RowAggregationUMP2::doAvg(const Row& rowIn, int64_t colIn, int64_t colOut,
}
else if (isWideDataType)
{
int128_t* dec = reinterpret_cast<int128_t*>(wideValInPtr);
if (LIKELY(cnt > 0))
{
int128_t valOut = fRow.getTSInt128Field(colOut).getValue();;
int128_t sum = valOut + *dec;
fRow.setBinaryField(&sum, colOut);
int128_t sum = valOut + wideValue;
fRow.setInt128Field(sum, colOut);
fRow.setUintField(rowIn.getUintField(colAuxIn) + cnt, colAux);
}
else
{
fRow.setBinaryField(dec, colOut);
fRow.setInt128Field(wideValue, colOut);
fRow.setUintField(rowIn.getUintField(colAuxIn), colAux);
}
}