Test Result : OrcV1SchemaPruningSuite

0 failures
94 tests
Took 2 min 51 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names1.2 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names4.2 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names2.5 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names2.4 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names2.1 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 variations1.8 secPassed
Non-vectorized reader - with partition data column - empty schema intersection2.1 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning1.5 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield1.6 secPassed
Non-vectorized reader - with partition data column - select a single complex field1.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause2.2 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 struct1.5 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 clause1.4 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array1.8 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.4 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.9 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning1.5 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_values1.1 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.75 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field1.2 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.2 secPassed
Non-vectorized reader - with partition data column - select only expressions without references1.9 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.99 secPassed
Non-vectorized reader - with partition data column - select only top-level fields1.5 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 intersection1.9 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning1.4 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield1.1 secPassed
Non-vectorized reader - without partition data column - select a single complex field2 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 project1.6 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct1.8 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 clause1.9 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array1.4 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause1.9 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry1.3 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 nested field from a complex map key using map_keys1 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.92 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate1.6 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.95 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()0.97 secPassed
Non-vectorized reader - without partition data column - select only top-level fields2.6 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1 secPassed
Spark vectorized reader - with partition data column - empty schema intersection1.3 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning1.3 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 field1.9 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause3.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project1.6 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct2.4 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column1.9 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause1.5 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array1.8 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause2 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry2.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning1.8 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.95 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values1.5 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate1 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field1.2 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.4 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.9 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.8 secPassed
Spark vectorized reader - with partition data column - select only top-level fields3.6 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1.4 secPassed
Spark vectorized reader - without partition data column - empty schema intersection3.1 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning2.2 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 field3 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause4.5 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project1.9 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct2.2 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column4.6 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause1.1 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array2.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause1.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry2.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning6 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.95 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.82 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.86 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field4 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.6 secPassed
Spark vectorized reader - without partition data column - select only expressions without references1.6 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.87 secPassed
Spark vectorized reader - without partition data column - select only top-level fields2.5 secPassed