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https://issues.apache.org/jira/browse/DRILL-5796?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16545501#comment-16545501
 ] 

ASF GitHub Bot commented on DRILL-5796:
---------------------------------------

vrozov 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_r202758482
 
 

 ##########
 File path: 
exec/java-exec/src/main/java/org/apache/drill/exec/expr/stat/ParquetIsPredicate.java
 ##########
 @@ -62,50 +62,51 @@ private ParquetIsPredicate(LogicalExpression expr, 
BiPredicate<Statistics<C>, Ra
     return visitor.visitUnknown(this, value);
   }
 
-  @Override
-  public boolean canDrop(RangeExprEvaluator<C> evaluator) {
+  /**
+   * Apply the filter condition against the meta of the rowgroup.
+   */
+  public RowsMatch matches(RangeExprEvaluator<C> evaluator) {
     Statistics<C> exprStat = expr.accept(evaluator, null);
-    if (isNullOrEmpty(exprStat)) {
-      return false;
-    }
+    return isNullOrEmpty(exprStat) ? RowsMatch.SOME : 
predicate.apply(exprStat, evaluator);
+  }
 
-    return predicate.test(exprStat, evaluator);
+  /**
+   * After the applying of the filter against the statistics of the rowgroup, 
if the result is RowsMatch.ALL,
+   * then we still must know if the rowgroup contains some null values, 
because it can change the filter result.
+   * If it contains some null values, then we change the RowsMatch.ALL into 
RowsMatch.SOME, which sya that maybe
+   * some values (the null ones) should be disgarded.
+   */
+  private static RowsMatch checkNull(Statistics exprStat) {
+    return hasNoNulls(exprStat) ? RowsMatch.ALL : RowsMatch.SOME;
   }
 
   /**
    * IS NULL predicate.
    */
   private static <C extends Comparable<C>> LogicalExpression 
createIsNullPredicate(LogicalExpression expr) {
     return new ParquetIsPredicate<C>(expr,
-        //if there are no nulls  -> canDrop
-        (exprStat, evaluator) -> hasNoNulls(exprStat)) {
-      private final boolean isArray = isArray(expr);
-
-      private boolean isArray(LogicalExpression expression) {
-        if (expression instanceof TypedFieldExpr) {
-          TypedFieldExpr typedFieldExpr = (TypedFieldExpr) expression;
-          SchemaPath schemaPath = typedFieldExpr.getPath();
-          return schemaPath.isArray();
-        }
-        return false;
-      }
-
-      @Override
-      public boolean canDrop(RangeExprEvaluator<C> evaluator) {
+      (exprStat, evaluator) -> {
         // for arrays we are not able to define exact number of nulls
         // [1,2,3] vs [1,2] -> in second case 3 is absent and thus it's null 
but statistics shows no nulls
-        return !isArray && super.canDrop(evaluator);
-      }
-    };
+        if (expr instanceof TypedFieldExpr) {
+          TypedFieldExpr typedFieldExpr = (TypedFieldExpr) expr;
+          if (typedFieldExpr.getPath().isArray()) {
+            return RowsMatch.SOME;
+          }
+        }
+        if (hasNoNulls(exprStat)) {
 
 Review comment:
   @arina-ielchiieva I do not suggest that Drill does not support filter push 
down for parquet files created by any prior version. My suggestion is to see 
(debug) where `num_nulls` is not set correctly. In any case, it is not valid to 
rely on `hasNonNullValue()` as `hasNonNullValue()` may be `false` or `true` and 
`num_nulls` be 0 for both cases.
   
   Note that `hasNoNulls()` is the inversion of `hasNulls()` condition, but the 
exact meaning is that either number of nulls is 0 or number of nulls is not set.

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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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