Test Result : ParquetV2SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 1 min 11 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names1 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names1 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.98 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 names1.3 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.1 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.59 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.65 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.65 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.64 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 struct0.78 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.67 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.73 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.73 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.62 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.71 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.68 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct2.6 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.4 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.41 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.42 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 field0.52 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.45 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 fields0.66 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.67 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 subfield0.62 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 clause0.98 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.81 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.66 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 clause0.63 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.65 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.62 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.62 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.74 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.6 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 predicate0.44 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.48 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.59 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.46 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 fields0.74 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.65 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.64 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 field0.65 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.99 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.7 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 column0.71 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.63 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.67 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 entry0.64 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.68 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct2.7 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.4 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.41 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.55 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.52 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.53 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.5 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.33 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.75 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.62 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 subfield0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.79 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 project0.9 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.74 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.82 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.79 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.88 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.76 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 pruning0.79 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct3.3 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.45 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.53 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 field0.6 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.53 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.52 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.35 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.79 secPassed