Test Result : OrcV2SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 1 min 6 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.74 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.79 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.83 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.76 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.89 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.5 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.65 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.69 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.74 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 clause0.95 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.75 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.67 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.69 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.64 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.74 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.64 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry2.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.73 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.52 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values1.1 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.46 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.5 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.58 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.59 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.43 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.69 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 pruning0.72 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.73 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause1.1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.71 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.68 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.72 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.69 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 clause0.71 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.71 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_keys0.47 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.48 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.48 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.59 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.52 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.5 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.36 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.83 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.59 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.72 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.73 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.62 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.78 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.67 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.75 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.65 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 clause0.69 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.66 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.72 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.54 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.54 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.58 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.58 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.6 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.49 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.37 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.8 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.64 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.73 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.73 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.81 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.77 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 project0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.88 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.87 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.68 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.82 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.48 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.51 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.51 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 field0.52 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.56 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.58 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.86 secPassed