Test Result : ParquetV1SchemaPruningSuite

0 failures (±0)
118 tests (±0)
Took 1 min 45 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.77 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.8 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.77 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.91 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 names0.82 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.64 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 subfield0.63 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.75 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause0.95 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 struct0.85 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.73 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.72 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.67 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.68 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.8 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct2.2 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.57 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.48 secPassed
Non-vectorized reader - with partition data column - select nested field in Expand0.7 secPassed
Non-vectorized reader - with partition data column - select nested field in aggregation function of Aggregate1.8 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.46 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.51 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after join1.3 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after outer join0.91 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition0.83 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition by expression2.4 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.54 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.51 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.39 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.82 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.64 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.67 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 clause0.91 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.71 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 clause0.64 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.66 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.65 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 pruning0.75 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.3 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.47 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.47 secPassed
Non-vectorized reader - without partition data column - select nested field in Expand0.67 secPassed
Non-vectorized reader - without partition data column - select nested field in aggregation function of Aggregate1.9 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.48 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.54 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after join1.5 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after outer join1 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition0.83 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.2 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.63 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.58 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 fields0.84 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.64 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 subfield0.62 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.81 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.87 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.72 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 clause0.67 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 clause0.67 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.68 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 struct2.5 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.48 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.48 secPassed
Spark vectorized reader - with partition data column - select nested field in Expand0.65 secPassed
Spark vectorized reader - with partition data column - select nested field in aggregation function of Aggregate1.8 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 field0.64 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after join1.4 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after outer join0.87 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition0.89 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition by expression2.3 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.6 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.44 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.36 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.79 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.72 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 subfield0.74 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.7 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 project0.85 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.75 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.69 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.73 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.76 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 entry0.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.77 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct2.8 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_values0.5 secPassed
Spark vectorized reader - without partition data column - select nested field in Expand0.74 secPassed
Spark vectorized reader - without partition data column - select nested field in aggregation function of Aggregate2.3 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.54 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.7 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after join1.3 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after outer join2 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition0.86 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.4 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.6 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.49 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.46 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.79 secPassed