Test Result : ParquetV2SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 1 min 30 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.95 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.97 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names1 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names1 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1.2 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.9 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.67 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 subfield1 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.74 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 project0.66 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.94 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.85 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 array1.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.72 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.83 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.91 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct3.3 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_values0.49 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.55 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.72 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.55 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.72 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.34 secPassed
Non-vectorized reader - with partition data column - select only top-level fields4 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.59 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.69 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.72 secPassed
Non-vectorized reader - without partition data column - select a single complex field1.6 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause0.91 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.77 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.78 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.81 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.71 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array1 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.73 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.73 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.95 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct3.1 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.51 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.42 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 field0.51 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.65 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()0.37 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.68 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.58 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 subfield0.77 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.94 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.78 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.75 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.67 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.87 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.63 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.96 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning1.2 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct3.2 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_values0.42 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 field0.87 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.62 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()0.48 secPassed
Spark vectorized reader - with partition data column - select only top-level fields1.8 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.7 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.96 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.83 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.93 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 project0.89 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.87 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.83 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array1.9 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.66 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry2.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.84 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct3.8 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.52 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 predicate0.53 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.54 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 references0.55 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.44 secPassed
Spark vectorized reader - without partition data column - select only top-level fields1 secPassed