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https://issues.apache.org/jira/browse/DRILL-5796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16515803#comment-16515803
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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_r196105589
 
 

 ##########
 File path: 
exec/java-exec/src/main/java/org/apache/drill/exec/expr/stat/ParquetBooleanPredicate.java
 ##########
 @@ -46,15 +46,32 @@ private ParquetBooleanPredicate(String name, 
List<LogicalExpression> args, Expre
       ExpressionPosition pos
   ) {
     return new ParquetBooleanPredicate<C>(name, args, pos) {
+      /**
+       * Evaluates a compound "AND" filter on the statistics of a RowGroup 
(the filter reads "filterA and filterB").
+       * Return value :<ul>
+       *   <li>ALL : only if all filters return ALL
+       *   <li>NONE : if one filter at least returns NONE
+       *   <li>SOME : all other cases
+       * </ul>
+       */
       @Override
-      public boolean canDrop(RangeExprEvaluator<C> evaluator) {
-        // "and" : as long as one branch is OK to drop, we can drop it.
+      public RowsMatch matches(RangeExprEvaluator<C> evaluator) {
+        RowsMatch childMatch;
+        RowsMatch resultMatch = RowsMatch.NONE;
 
 Review comment:
   Probably we don't enter the for loop... resultMatch take into account that 
one at least o fthe rowgroups is in SOME state, which is enough to NOT drop the 
filter at all.

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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
>            Assignee: Jean-Blas IMBERT
>            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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