Test Result : ParquetV1SchemaPruningSuite

0 failures (±0)
102 tests (±0)
Took 40 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.59 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.62 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.54 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.51 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names0.75 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.52 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.27 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.42 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.36 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.34 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.38 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.31 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause0.8 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.43 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.37 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.37 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.4 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.35 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.43 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.42 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.41 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.25 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.24 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.27 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.3 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.28 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.33 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.19 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.36 secPassed
Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.25 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.38 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.35 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.31 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.57 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.32 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.45 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause0.71 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.36 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.38 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.39 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.44 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.34 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.48 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.43 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.43 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.24 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.23 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.33 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.3 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.33 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.38 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.25 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.36 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.29 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.37 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.37 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.47 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.53 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.39 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.54 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.7 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.32 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.41 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.39 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.38 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.35 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.39 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.38 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.49 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.26 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.24 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.32 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.37 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.34 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.36 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.19 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.35 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.32 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.45 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.38 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.34 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.45 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.41 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.46 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause0.66 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.35 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.47 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.39 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.49 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.42 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.45 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.37 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.45 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.29 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.26 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.39 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.39 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.68 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.26 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.22 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.46 secPassed