Test Result : ParquetV2SchemaPruningSuite

0 failures (±0)
94 tests (+4)
Took 2 min 1 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names1.6 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names1.2 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names1.6 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names1.8 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names2 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.5 secPassed
Non-vectorized reader - with partition data column - empty schema intersection1 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning1 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.84 secPassed
Non-vectorized reader - with partition data column - select a single complex field1.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1.9 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct1.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column1 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause1 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.94 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning1.2 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct4 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys3.2 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.63 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.58 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.97 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field2.1 secPassed
Non-vectorized reader - with partition data column - select only expressions without references3.5 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.6 secPassed
Non-vectorized reader - with partition data column - select only top-level fields1.2 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.75 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.76 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.84 secPassed
Non-vectorized reader - without partition data column - select a single complex field1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause1.6 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.98 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column1.1 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.93 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.83 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause1.4 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry1.1 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning1.4 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct3.5 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys1.1 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.79 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.96 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.76 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.4 secPassed
Non-vectorized reader - without partition data column - select only expressions without references1.4 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.68 secPassed
Non-vectorized reader - without partition data column - select only top-level fields1.2 secPassed
Spark vectorized reader - with partition data column - empty schema intersection2.9 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.85 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.81 secPassed
Spark vectorized reader - with partition data column - select a single complex field1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause1.5 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project1.2 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.87 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column1.2 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.83 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array1.3 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause1 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.87 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 struct5 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.67 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.65 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.83 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.75 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.47 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.59 secPassed
Spark vectorized reader - with partition data column - select only top-level fields1.1 secPassed
Spark vectorized reader - without partition data column - empty schema intersection1 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.75 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield1 secPassed
Spark vectorized reader - without partition data column - select a single complex field1.2 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause1.4 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.86 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.95 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column1.4 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause1 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array1.4 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.95 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.94 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning1.1 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct3.9 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys1 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values1.3 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.89 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 field0.81 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.65 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 fields1.1 secPassed