Test Result : OrcV2SchemaPruningSuite

0 failures (±0)
153 tests (±0)
Took 2 min 20 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.7 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.65 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.64 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.65 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names0.93 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.74 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1.1 secPassed
Non-vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output0.97 secPassed
Non-vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.92 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.77 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.78 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.72 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.77 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.73 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.92 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause1.1 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.75 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.76 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.72 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.75 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.88 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.79 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.71 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.74 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct2.1 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.64 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.73 secPassed
Non-vectorized reader - with partition data column - select nested field in Expand0.73 secPassed
Non-vectorized reader - with partition data column - select nested field in Sort0.91 secPassed
Non-vectorized reader - with partition data column - select nested field in aggregation function of Aggregate1.3 secPassed
Non-vectorized reader - with partition data column - select nested field in window function0.69 secPassed
Non-vectorized reader - with partition data column - select nested field in window function and then order by0.78 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 field0.66 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after join1.4 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after outer join0.96 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition1 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition by expression2.3 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.85 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.66 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.57 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.71 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 - SPARK-34638: nested column prune on generator output1.1 secPassed
Non-vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.76 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.75 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.76 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.73 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.77 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.73 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.78 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 project0.69 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.76 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.94 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.8 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.79 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.78 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.74 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.74 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.3 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.62 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.64 secPassed
Non-vectorized reader - without partition data column - select nested field in Expand0.7 secPassed
Non-vectorized reader - without partition data column - select nested field in Sort0.88 secPassed
Non-vectorized reader - without partition data column - select nested field in aggregation function of Aggregate1.2 secPassed
Non-vectorized reader - without partition data column - select nested field in window function0.72 secPassed
Non-vectorized reader - without partition data column - select nested field in window function and then order by0.93 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.74 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.69 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after join1.4 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after outer join0.99 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition1 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.8 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.66 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.68 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.55 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.72 secPassed
SPARK-34638: queries should not fail on unsupported cases0.52 secPassed
SPARK-36352: Spark should check result plan's output schema name0.58 secPassed
SPARK-37450: Prunes unnecessary fields from Explode for count aggregation0.37 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 - SPARK-34638: nested column prune on generator output0.93 secPassed
Spark vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.78 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.75 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.81 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.75 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.9 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.77 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause1 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.74 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.74 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.91 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.74 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.73 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct2.5 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.5 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.59 secPassed
Spark vectorized reader - with partition data column - select nested field in Expand0.76 secPassed
Spark vectorized reader - with partition data column - select nested field in Sort0.92 secPassed
Spark vectorized reader - with partition data column - select nested field in aggregation function of Aggregate1.3 secPassed
Spark vectorized reader - with partition data column - select nested field in window function0.76 secPassed
Spark vectorized reader - with partition data column - select nested field in window function and then order by0.88 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.63 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.66 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after join1.3 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after outer join0.87 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition0.98 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition by expression2.6 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.68 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.65 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.53 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.77 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1 secPassed
Spark vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output0.91 secPassed
Spark vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.79 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.88 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.78 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.75 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.81 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause1.2 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.77 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.84 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.77 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.81 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.8 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.75 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning1 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct2.5 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.61 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.65 secPassed
Spark vectorized reader - without partition data column - select nested field in Expand0.87 secPassed
Spark vectorized reader - without partition data column - select nested field in Sort0.96 secPassed
Spark vectorized reader - without partition data column - select nested field in aggregation function of Aggregate1.6 secPassed
Spark vectorized reader - without partition data column - select nested field in window function0.89 secPassed
Spark vectorized reader - without partition data column - select nested field in window function and then order by0.87 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.63 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.8 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after join1.4 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after outer join1 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition1 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.9 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.69 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.8 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.55 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.82 secPassed