database/mariadb-columnstore-engine
1
0
Fork 0
mirror of https://github.com/mariadb-corporation/mariadb-columnstore-engine.git synced 2025-11-02 06:13:16 +03:00
Code Activity

feat(rbo,rules,QA): refactored statistics storage

Browse Source
This commit is contained in:
drrtuy
2025-07-31 12:50:24 +00:00
parent 112ba9f162
commit e167082497
3 changed files with 71 additions and 41 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
dbcon/mysql/rbo_apply_parallel_ces.cpp
View File

@@ -105,6 +105,7 @@ execplan::ParseTree* filtersWithNewRange(execplan::SCSEP& csep, execplan::Simple
ltOp->resultType(ltOp->operationType());
auto* sfr = new execplan::SimpleFilter(ltOp, tableKeyColumnLeftOp, filterColLeftOp);
// TODO new
auto tableKeyColumnRightOp = new execplan::SimpleColumn(column);
tableKeyColumnRightOp->resultType(column.resultType());
// TODO hardcoded column type and value
@@ -114,8 +115,10 @@ execplan::ParseTree* filtersWithNewRange(execplan::SCSEP& csep, execplan::Simple
gtOp->setOpType(filterColRightOp->resultType(), tableKeyColumnRightOp->resultType());
gtOp->resultType(gtOp->operationType());
// TODO new
auto* sfl = new execplan::SimpleFilter(gtOp, tableKeyColumnRightOp, filterColRightOp);
// TODO new
execplan::ParseTree* ptp = new execplan::ParseTree(new execplan::LogicOperator("and"));
ptp->right(sfr);
ptp->left(sfl);
@@ -169,6 +172,12 @@ execplan::SimpleColumn* findSuitableKeyColumn(execplan::CalpontSelectExecutionPl
return nullptr;
}
// TBD
Histogram_json_hb& chooseStatisticsToUse(std::vector<Histogram_json_hb>& columnStatisticsVec)
{
return columnStatisticsVec.front();
}
// Populates range bounds based on column statistics
// Returns optional with bounds if successful, nullopt otherwise
template <typename T>
@@ -188,7 +197,8 @@ std::optional<FilterRangeBounds<T>> populateRangeBounds(execplan::SimpleColumn*
return std::nullopt;
}
auto columnStatistics = columnStatisticsIt->second;
auto& [simpleColumn, columnStatisticsVec] = columnStatisticsIt->second;
auto& columnStatistics = chooseStatisticsToUse(columnStatisticsVec);
// TODO configurable parallel factor via session variable
// NB now histogram size is the way to control parallel factor with 16 being the maximum