Test Result : ParquetV1SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 1 min 24 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names2.2 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names3 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names1.2 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names1.2 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1.7 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.1 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.67 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 subfield0.71 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.77 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.74 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.74 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.82 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.65 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.63 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.75 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 explode of nested field of array of struct3.5 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.56 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.66 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.44 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.56 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.65 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.52 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.52 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.81 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.78 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 subfield0.63 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.75 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause0.88 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.64 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.84 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.7 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 array0.7 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.66 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.69 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.82 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct4.2 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.64 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.56 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.43 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 field0.55 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.52 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.39 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.78 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.68 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.74 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.6 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.87 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.93 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.82 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.89 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.66 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.75 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 explode of nested field of array of struct3.6 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.49 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 predicate0.51 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.59 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.54 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.48 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.57 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.79 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.69 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.77 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.79 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.87 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause1 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.78 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.84 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.86 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.99 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.77 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.78 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct3.7 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_values0.6 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.5 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 field0.55 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.53 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.5 secPassed
Spark vectorized reader - without partition data column - select only top-level fields1.1 secPassed