Yuming Wang created SPARK-33673:
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Summary: 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
{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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