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https://issues.apache.org/jira/browse/DRILL-7491?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17015093#comment-17015093
 ] 

ASF GitHub Bot commented on DRILL-7491:
---------------------------------------

KazydubB commented on pull request #1955: DRILL-7491: Incorrect count() 
returned for complex types in parquet
URL: https://github.com/apache/drill/pull/1955#discussion_r366339423
 
 

 ##########
 File path: 
exec/java-exec/src/main/java/org/apache/drill/exec/physical/base/AbstractGroupScanWithMetadata.java
 ##########
 @@ -167,29 +167,43 @@ public boolean isMatchAllMetadata() {
    */
   @Override
   public long getColumnValueCount(SchemaPath column) {
-    long tableRowCount, colNulls;
-    Long nulls;
     ColumnStatistics<?> columnStats = 
getTableMetadata().getColumnStatistics(column);
-    ColumnStatistics<?> nonInterestingColStats = null;
-    if (columnStats == null) {
-      nonInterestingColStats = 
getNonInterestingColumnsMetadata().getColumnStatistics(column);
-    }
+    ColumnStatistics<?> nonInterestingColStats = (columnStats == null)
+        ? getNonInterestingColumnsMetadata().getColumnStatistics(column) : 
null;
 
+    long tableRowCount;
     if (columnStats != null) {
       tableRowCount = 
TableStatisticsKind.ROW_COUNT.getValue(getTableMetadata());
     } else if (nonInterestingColStats != null) {
       tableRowCount = 
TableStatisticsKind.ROW_COUNT.getValue(getNonInterestingColumnsMetadata());
+      columnStats = nonInterestingColStats;
+    } else if (existsNestedStatsForColumn(column, getTableMetadata())
+        || existsNestedStatsForColumn(column, 
getNonInterestingColumnsMetadata())) {
+      return Statistic.NO_COLUMN_STATS;
     } else {
       return 0; // returns 0 if the column doesn't exist in the table.
     }
 
-    columnStats = columnStats != null ? columnStats : nonInterestingColStats;
-    nulls = ColumnStatisticsKind.NULLS_COUNT.getFrom(columnStats);
-    colNulls = nulls != null ? nulls : Statistic.NO_COLUMN_STATS;
+    Long nulls = ColumnStatisticsKind.NULLS_COUNT.getFrom(columnStats);
+    if (nulls == null || Statistic.NO_COLUMN_STATS == nulls || 
Statistic.NO_COLUMN_STATS == tableRowCount) {
+      return Statistic.NO_COLUMN_STATS;
+    } else {
+      return tableRowCount - nulls;
+    }
+  }
 
-    return Statistic.NO_COLUMN_STATS == tableRowCount
-            || Statistic.NO_COLUMN_STATS == colNulls
-            ? Statistic.NO_COLUMN_STATS : tableRowCount - colNulls;
+  /**
+   * For complex columns, stats may be present only for nested fields. For 
example, a column path is `a`,
+   * but stats present for `a`.`b`. So before making a decision that column is 
absent, the case needs
+   * to be tested.
+   *
+   * @param column   column path
+   * @param metadata metadata with column statistics
+   * @return whether stats exists for nested fields
+   */
+  private boolean existsNestedStatsForColumn(SchemaPath column, Metadata 
metadata) {
 
 Review comment:
   It depends from which perspective to think, but I agree the one proposed by 
me is confusing. Name still looks clumsy, but with the comments it should be 
fine. Thanks!
 
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> Incorrect count() returned for complex types in parquet
> -------------------------------------------------------
>
>                 Key: DRILL-7491
>                 URL: https://issues.apache.org/jira/browse/DRILL-7491
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Functions - Drill, Functions - Hive, Storage - Parquet
>    Affects Versions: 1.16.0, 1.17.0
>            Reporter: Igor Guzenko
>            Assignee: Igor Guzenko
>            Priority: Major
>             Fix For: 1.18.0
>
>         Attachments: hive_alltypes.parquet
>
>
> To reproduce use the attached file for {{hive_alltypes.parquet}} (this is 
> parquet file generated by Hive) and try count on columns *c13 - c15.*  For 
> example, 
> {code:sql}
> SELECT count(c13) FROM dfs.tmp.`hive_alltypes.parquet`
> {code}
> *Expected result:* {color:green}3 {color}
> *Actual result:* {color:red}0{color}



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