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https://issues.apache.org/jira/browse/DRILL-5796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16545143#comment-16545143
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ASF GitHub Bot commented on DRILL-5796:
---------------------------------------
jbimbert commented on a change in pull request #1298: DRILL-5796: Filter
pruning for multi rowgroup parquet file
URL: https://github.com/apache/drill/pull/1298#discussion_r202664099
##########
File path:
exec/java-exec/src/main/java/org/apache/drill/exec/expr/stat/ParquetIsPredicate.java
##########
@@ -124,8 +124,7 @@ private static LogicalExpression
createIsTruePredicate(LogicalExpression expr) {
*/
private static LogicalExpression createIsFalsePredicate(LogicalExpression
expr) {
return new ParquetIsPredicate<Boolean>(expr, (exprStat, evaluator) ->
- //if min value is not false or if there are all nulls -> canDrop
- isAllNulls(exprStat, evaluator.getRowCount()) ||
exprStat.hasNonNullValue() && ((BooleanStatistics) exprStat).getMin()
+ exprStat.hasNonNullValue() && ((BooleanStatistics) exprStat).getMin() ||
isAllNulls(exprStat, evaluator.getRowCount()) ? RowsMatch.NONE :
checkNull(exprStat)
Review comment:
@vrozov java-exec/src/test/resources/parquetFilterPush/blnTbl/0_0_3.parquet
gives ST:[num_nulls: 3, min/max not defined] whihc means hasNonNullValue=false
but isAllNulls=true, which is what we are looking for. This happens each time
we run
testBooleanPredicate()
@arina-ielchiieva isallNulls would produce incorrect values if getNumNulls
is undefined, which may happen whatever the return value of hasNonNullValue
(see stats of parquet file 0_0_3.parquet). Would it be possible that all the
stats (num_nulls, min and max) are not defined for ParquetIsPredicate entering
file?
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> Filter pruning for multi rowgroup parquet file
> ----------------------------------------------
>
> Key: DRILL-5796
> URL: https://issues.apache.org/jira/browse/DRILL-5796
> Project: Apache Drill
> Issue Type: Improvement
> Components: Storage - Parquet
> Reporter: Damien Profeta
> Priority: Major
> Fix For: 1.14.0
>
>
> Today, filter pruning use the file name as the partitioning key. This means
> you can remove a partition only if the whole file is for the same partition.
> With parquet, you can prune the filter if the rowgroup make a partition of
> your dataset as the unit of work if the rowgroup not the file.
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