Major Description
- 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 ***
These test will fail, this is because Parquet will return empty results for non-existent column since PARQUET-1765.
