Test Result : OrcV1SchemaPruningSuite

0 failures (±0)
94 tests (±0)
Took 2 min 18 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names1.1 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 names1.1 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names1.6 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names1.5 secPassed
Non-vectorized reader - with partition data column - empty schema intersection1.4 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning1.1 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield1.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field1.3 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 project1.3 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 column1.6 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.98 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning1.3 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct5.2 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys1 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.83 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate1 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.9 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.1 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.79 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.76 secPassed
Non-vectorized reader - with partition data column - select only top-level fields1.3 secPassed
Non-vectorized reader - without partition data column - empty schema intersection1 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 subfield1.2 secPassed
Non-vectorized reader - without partition data column - select a single complex field1.1 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause1.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project1.2 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct1.2 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column1.4 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause1 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.89 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause1.2 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry1 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning1.5 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct6.1 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.65 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values1 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate1 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1.1 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.69 secPassed
Non-vectorized reader - without partition data column - select only expressions without references1.2 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.87 secPassed
Non-vectorized reader - without partition data column - select only top-level fields2.4 secPassed
Spark vectorized reader - with partition data column - empty schema intersection1 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning1.2 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield1.2 secPassed
Spark vectorized reader - with partition data column - select a single complex field1.4 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause2.9 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 struct1.7 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column2.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause1 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array1.2 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.3 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.3 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning2.3 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct5.5 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.84 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values1.2 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate1.2 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field1.5 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.83 secPassed
Spark vectorized reader - with partition data column - select only expressions without references1.2 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.96 secPassed
Spark vectorized reader - with partition data column - select only top-level fields1.3 secPassed
Spark vectorized reader - without partition data column - empty schema intersection1.2 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning1.7 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield1.9 secPassed
Spark vectorized reader - without partition data column - select a single complex field1.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause1.6 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project1.5 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct1.3 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column1 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause1.3 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 clause1.2 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry1.3 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 struct5.9 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_values0.77 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate1.1 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1.2 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.72 secPassed
Spark vectorized reader - without partition data column - select only expressions without references1.1 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()1 secPassed
Spark vectorized reader - without partition data column - select only top-level fields1.5 secPassed