Test Result : OrcV1SchemaPruningSuite

0 failures (±0)
152 tests (±0)
Took 2 min 13 sec.

All Tests

Test nameDurationStatus
Case-insensitive parser - mixed-case schema - filter with different-case column names0.65 secPassed
Case-insensitive parser - mixed-case schema - select with different-case column names0.61 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.61 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.6 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names0.81 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.65 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 output0.8 secPassed
Non-vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.74 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.73 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.79 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.66 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.73 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.55 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 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.66 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 column0.68 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.79 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.72 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.66 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.76 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.78 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct2.3 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.78 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.58 secPassed
Non-vectorized reader - with partition data column - select nested field in Expand0.64 secPassed
Non-vectorized reader - with partition data column - select nested field in Sort0.84 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 function0.57 secPassed
Non-vectorized reader - with partition data column - select nested field in window function and then order by0.95 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.57 secPassed
Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.7 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after join1.2 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after outer join0.91 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition1.1 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition by expression2.4 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.63 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.73 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.72 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.89 secPassed
Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1.2 secPassed
Non-vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output0.78 secPassed
Non-vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.74 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.69 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.63 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.67 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.72 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.77 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.8 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 column0.82 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.7 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.7 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.71 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.79 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.81 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.2 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.64 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.54 secPassed
Non-vectorized reader - without partition data column - select nested field in Expand0.65 secPassed
Non-vectorized reader - without partition data column - select nested field in Sort0.84 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 function0.58 secPassed
Non-vectorized reader - without partition data column - select nested field in window function and then order by0.7 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.56 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.7 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after join1.3 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after outer join0.89 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition0.9 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.4 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.67 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.71 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.56 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.86 secPassed
SPARK-34638: queries should not fail on unsupported cases0.53 secPassed
SPARK-36352: Spark should check result plan's output schema name0.63 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 output0.86 secPassed
Spark vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.84 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.83 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.71 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.64 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.64 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.75 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.84 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 project0.74 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.86 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.72 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.7 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.73 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.71 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.82 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.84 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct2.3 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.57 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.55 secPassed
Spark vectorized reader - with partition data column - select nested field in Expand0.78 secPassed
Spark vectorized reader - with partition data column - select nested field in Sort0.85 secPassed
Spark vectorized reader - with partition data column - select nested field in aggregation function of Aggregate1.2 secPassed
Spark vectorized reader - with partition data column - select nested field in window function0.61 secPassed
Spark vectorized reader - with partition data column - select nested field in window function and then order by0.68 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.58 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.64 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 join0.94 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition0.89 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition by expression2.3 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.64 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.76 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.67 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.84 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations1.1 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-sensitivity0.59 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.79 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.71 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.79 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.71 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.88 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.84 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause0.99 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.82 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.88 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.72 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.73 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.86 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.71 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 pruning0.95 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct2.3 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.6 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.58 secPassed
Spark vectorized reader - without partition data column - select nested field in Expand0.77 secPassed
Spark vectorized reader - without partition data column - select nested field in Sort0.9 secPassed
Spark vectorized reader - without partition data column - select nested field in aggregation function of Aggregate1.5 secPassed
Spark vectorized reader - without partition data column - select nested field in window function0.8 secPassed
Spark vectorized reader - without partition data column - select nested field in window function and then order by0.69 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.59 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.65 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after join1.5 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after outer join1.1 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition0.92 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.4 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.65 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.64 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.6 secPassed
Spark vectorized reader - without partition data column - select only top-level fields1 secPassed