Test Result : ParquetV1SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 1 min 9 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.85 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.81 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.87 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.85 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 names0.97 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.57 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.66 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 field0.73 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause0.88 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.67 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.68 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.63 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.67 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 entry0.56 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.64 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct2.1 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.41 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.4 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.41 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.49 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.47 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.41 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.33 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.69 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.64 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.63 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.57 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.68 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause0.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project1.8 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 column0.71 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.58 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.59 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.6 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 pruning0.68 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.2 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.39 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 predicate0.4 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1.4 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.54 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.45 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.34 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.73 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.57 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.62 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.66 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.85 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.83 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.66 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.68 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.59 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.64 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 pruning0.65 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct2.2 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.41 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.47 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 field1 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.5 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.53 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.32 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.79 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.64 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.69 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.67 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.69 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause0.91 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.72 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.68 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause1.6 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.77 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.61 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.67 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.72 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct2.5 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.62 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.45 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.49 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.48 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.47 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.39 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.97 secPassed