Test Result : ParquetV1SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 1 min 12 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 names0.92 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names1 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.97 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 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.66 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.68 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.55 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 clause0.98 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.9 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 column0.62 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.67 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 clause0.71 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.58 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.62 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct2.4 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.47 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.54 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.6 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.56 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.58 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()0.34 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.63 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.68 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.61 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.61 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 clause1.1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.87 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 column0.65 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.69 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.58 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.68 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.58 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.67 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.7 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.53 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.55 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.58 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.62 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.55 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.47 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.37 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.71 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.71 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.61 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.59 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.64 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.98 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.75 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 column0.61 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.79 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.65 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.63 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.66 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct2.8 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_values0.52 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.58 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.55 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.57 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.43 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.4 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.72 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.67 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.79 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 field0.82 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 project0.98 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.89 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.72 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.95 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.83 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.79 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.68 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.78 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct2.9 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.58 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.58 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.61 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.61 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.61 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.48 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 fields0.94 secPassed