Test Result : ParquetV1SchemaPruningSuite

0 failures
94 tests
Took 1 min 10 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names1.1 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names1 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names1 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names1.1 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1.3 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.1 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.54 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.69 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.7 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.68 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.73 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.83 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.83 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.74 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.71 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.77 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.74 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.95 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.48 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.57 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.49 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.57 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.53 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.57 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.51 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.78 secPassed
Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.54 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.73 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.79 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.64 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.77 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.82 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.81 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.79 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.74 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.72 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.76 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.7 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.7 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.44 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.5 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.63 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.72 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.6 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.53 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.4 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.92 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.56 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.75 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.81 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.85 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause1.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.83 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.77 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.71 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.69 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.83 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.68 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.99 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.5 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.46 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.5 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.62 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.57 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.57 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.41 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.88 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.65 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.73 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.85 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.85 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause1.1 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project1 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.9 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.93 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.91 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.86 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause1 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.83 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.93 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.59 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.52 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.53 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.57 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.65 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.6 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.49 secPassed
Spark vectorized reader - without partition data column - select only top-level fields1.2 secPassed