Test Result : ParquetV2SchemaPruningSuite

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

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.97 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.92 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.97 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 names1.5 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.94 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.52 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.59 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.62 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.79 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.77 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 clause0.6 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.6 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.9 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.85 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.35 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.36 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.36 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.47 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.46 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.54 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.42 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.62 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.64 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.66 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.65 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.62 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause1.3 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.68 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.76 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.73 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.51 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.77 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.58 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.57 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.77 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.56 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.4 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.39 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.47 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.58 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.57 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.54 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.64 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.65 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 subfield1.3 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.79 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.96 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.6 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.68 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.67 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.59 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.69 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.62 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.6 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.67 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_values0.47 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.48 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.47 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.56 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.55 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.75 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.58 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.58 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.65 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.71 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause0.93 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.67 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.71 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.65 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.69 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.64 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 entry0.58 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.74 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.47 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.4 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.4 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.64 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 references0.52 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.38 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.65 secPassed