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https://issues.apache.org/jira/browse/SPARK-33673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17244624#comment-17244624
 ] 

Yuming Wang commented on SPARK-33673:
-------------------------------------

Yes, you can verify it by:
{code:sh}
mvn -Dtest=none 
-DwildcardSuites=org.apache.spark.sql.execution.datasources.parquet.ParquetV2SchemaPruningSuite
 -Dparquet.version=1.11.1 test
{code}


> Do not push down partition filters to ParquetScan for DataSourceV2
> ------------------------------------------------------------------
>
>                 Key: SPARK-33673
>                 URL: https://issues.apache.org/jira/browse/SPARK-33673
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.2.0
>            Reporter: Yuming Wang
>            Priority: Major
>
> {noformat}
> - Spark vectorized reader - with partition data column - select a single 
> complex field array and its parent struct array *** FAILED ***
> - Non-vectorized reader - with partition data column - select a single 
> complex field array and its parent struct array *** FAILED ***
> - Spark vectorized reader - with partition data column - select a single 
> complex field from a map entry and its parent map entry *** FAILED ***
> - Non-vectorized reader - with partition data column - select a single 
> complex field from a map entry and its parent map entry *** FAILED ***
> - Spark vectorized reader - with partition data column - partial schema 
> intersection - select missing subfield *** FAILED ***
> - Non-vectorized reader - with partition data column - partial schema 
> intersection - select missing subfield *** FAILED ***
> - Spark vectorized reader - with partition data column - no unnecessary 
> schema pruning *** FAILED ***
> - Non-vectorized reader - with partition data column - no unnecessary schema 
> pruning *** FAILED ***
> - Spark vectorized reader - with partition data column - empty schema 
> intersection *** FAILED ***
> - Non-vectorized reader - with partition data column - empty schema 
> intersection *** FAILED ***
> - Spark vectorized reader - with partition data column - select a single 
> complex field and in where clause *** FAILED ***
> - Non-vectorized reader - with partition data column - select a single 
> complex field and in where clause *** FAILED ***
> - Spark vectorized reader - with partition data column - select nullable 
> complex field and having is not null predicate *** FAILED ***
> - Non-vectorized reader - with partition data column - select nullable 
> complex field and having is not null predicate *** FAILED ***
> {noformat}
> These test will fail, this is because Parquet will return empty results for 
> non-existent column since PARQUET-1765.



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