Test Result : OrcV1SchemaPruningSuite

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

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.86 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.84 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.96 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.9 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1.1 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.82 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.73 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.66 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.57 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.61 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.61 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 project0.62 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.66 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 clause0.75 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.68 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.59 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.65 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.45 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.48 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.45 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.63 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.56 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.42 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.32 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.64 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 intersection0.53 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.6 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.58 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.72 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause0.95 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 struct0.69 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.75 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.61 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.54 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 entry0.59 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.71 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.41 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.38 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.42 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 field0.64 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.51 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.3 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.79 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.51 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.56 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.65 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.69 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.84 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.77 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.69 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.71 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.66 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.62 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 entry0.56 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.77 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.39 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 predicate0.43 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.57 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.61 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.41 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.35 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.6 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.56 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.64 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.71 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.68 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.71 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause0.86 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 struct0.77 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.71 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.81 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.78 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.7 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.5 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.49 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.6 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.58 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.5 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.5 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.28 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.78 secPassed