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Posted to issues@spark.apache.org by "Yuming Wang (Jira)" <ji...@apache.org> on 2020/12/06 01:36:00 UTC
[jira] [Commented] (SPARK-33673) Do not push down partition filters
to ParquetScan for DataSourceV2
[ https://issues.apache.org/jira/browse/SPARK-33673?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17244612#comment-17244612 ]
Yuming Wang commented on SPARK-33673:
-------------------------------------
[~cloud_fan] [~rdblue] [~viirya]
> 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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