Test Result : OrcV1SchemaPruningSuite

0 failures (±0)
90 tests (±0)
Took 3 min 8 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names2.5 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names2.6 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names2.4 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names1.9 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names4.1 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names4.7 secPassed
Non-vectorized reader - with partition data column - empty schema intersection1.6 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning1.8 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield2.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field2.2 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause3.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project1.9 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct1.9 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column2.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause2.4 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array1.3 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning4.4 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys1.5 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values1.2 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate1.4 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field3.6 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.3 secPassed
Non-vectorized reader - with partition data column - select only expressions without references1 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()1.5 secPassed
Non-vectorized reader - with partition data column - select only top-level fields3.2 secPassed
Non-vectorized reader - without partition data column - empty schema intersection1.7 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning2.6 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield3 secPassed
Non-vectorized reader - without partition data column - select a single complex field1.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause3.2 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project1.7 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct2.5 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column1.9 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause1.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array1.3 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause1.6 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry1.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning2.2 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys1.2 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values1.7 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate3.4 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1.5 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.2 secPassed
Non-vectorized reader - without partition data column - select only expressions without references2.3 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.99 secPassed
Non-vectorized reader - without partition data column - select only top-level fields2.2 secPassed
Spark vectorized reader - with partition data column - empty schema intersection2.1 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning1.9 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield2.4 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 clause2.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project1.9 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct3.2 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column1.4 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause1.3 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array1.1 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause1.8 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry1.6 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning2.6 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys1.2 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values1.4 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate1.7 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field1.9 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.3 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()1.3 secPassed
Spark vectorized reader - with partition data column - select only top-level fields3 secPassed
Spark vectorized reader - without partition data column - empty schema intersection1.8 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning3.9 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield2.5 secPassed
Spark vectorized reader - without partition data column - select a single complex field1.5 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause2.5 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 struct3.6 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column2.2 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause1.6 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array3.3 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 entry1.6 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning2.1 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys1.2 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values1.2 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate2.3 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field1.7 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field1.1 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()0.94 secPassed
Spark vectorized reader - without partition data column - select only top-level fields3.4 secPassed