Test Result : OrcV2SchemaPruningSuite

0 failures
94 tests
Took 1 min 19 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 names0.97 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.86 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1.1 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.8 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.48 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.66 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 subfield1 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.77 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.82 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.76 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.89 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array1 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.3 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 pruning1 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.39 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.4 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.49 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.5 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.57 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.83 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.84 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.74 secPassed
Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1.1 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.83 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning1 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 field0.92 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 project0.66 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.74 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 array1.2 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.94 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.9 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.9 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.37 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.45 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.54 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 field0.48 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.84 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 fields0.71 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.84 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.86 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning1.4 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause1.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.64 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.78 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array1.9 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.82 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.81 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.77 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.72 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.37 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 field0.72 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.49 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.8 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.39 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.79 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.59 secPassed
Spark vectorized reader - without partition data column - empty schema intersection1.1 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.97 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field1 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 project0.92 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct1 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.67 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array1.2 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause1.1 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry1 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.69 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.53 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.38 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.64 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.88 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.54 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.68 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.58 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.91 secPassed