Test Result : ParquetV2SchemaPruningSuite

0 failures
94 tests
Took 1 min 26 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names1.6 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names4.7 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names1.2 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names2.4 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 names1.3 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.98 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.74 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.75 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.67 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.75 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.91 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.93 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.76 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.85 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.83 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.71 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 pruning1.3 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.51 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 predicate0.57 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 field0.61 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.67 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()1 secPassed
Non-vectorized reader - with partition data column - select only top-level fields2.1 secPassed
Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.59 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.79 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.75 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.69 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.89 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 project0.85 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.85 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.84 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.76 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.94 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.69 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.75 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning1.2 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.56 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.52 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.53 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.57 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.63 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.55 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()2.3 secPassed
Non-vectorized reader - without partition data column - select only top-level fields1 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.61 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.68 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.77 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.79 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.82 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause1.3 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.75 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.84 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.8 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.79 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.77 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.77 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning1.1 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_values0.59 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.68 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.56 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.58 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.66 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.48 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.83 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.72 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.75 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.81 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 field0.83 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 struct0.96 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.81 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause1.1 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.93 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.79 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.78 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning3.3 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.54 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.54 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.58 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.71 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.63 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.55 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.68 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.87 secPassed