Test Result : ParquetV1SchemaPruningSuite

0 failures (±0)
151 tests (±0)
Took 1 min 53 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 names0.64 secPassed
Case-insensitive parser - mixed-case schema - select with exact column names0.74 secPassed
Case-insensitive parser - mixed-case schema - select with lowercase column names0.63 secPassed
Case-insensitive parser - mixed-case schema - subquery filter with different-case column names0.85 secPassed
Case-sensitive parser - mixed-case schema - select with exact column names0.66 secPassed
Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.86 secPassed
Non-vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output0.74 secPassed
Non-vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.75 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.76 secPassed
Non-vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.75 secPassed
Non-vectorized reader - with partition data column - empty schema intersection0.48 secPassed
Non-vectorized reader - with partition data column - no unnecessary schema pruning0.58 secPassed
Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield0.5 secPassed
Non-vectorized reader - with partition data column - select a single complex field0.61 secPassed
Non-vectorized reader - with partition data column - select a single complex field and in where clause0.79 secPassed
Non-vectorized reader - with partition data column - select a single complex field and is null expression in project0.54 secPassed
Non-vectorized reader - with partition data column - select a single complex field and its parent struct0.57 secPassed
Non-vectorized reader - with partition data column - select a single complex field and the partition column0.5 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and in clause0.71 secPassed
Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array0.5 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.7 secPassed
Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.51 secPassed
Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.77 secPassed
Non-vectorized reader - with partition data column - select explode of nested field of array of struct1.6 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.47 secPassed
Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values0.47 secPassed
Non-vectorized reader - with partition data column - select nested field in Expand0.58 secPassed
Non-vectorized reader - with partition data column - select nested field in Sort0.92 secPassed
Non-vectorized reader - with partition data column - select nested field in aggregation function of Aggregate0.82 secPassed
Non-vectorized reader - with partition data column - select nested field in window function0.54 secPassed
Non-vectorized reader - with partition data column - select nested field in window function and then order by0.75 secPassed
Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.5 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 join0.78 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition0.91 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field after repartition by expression1.9 secPassed
Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.51 secPassed
Non-vectorized reader - with partition data column - select only expressions without references0.48 secPassed
Non-vectorized reader - with partition data column - select only input_file_name()0.48 secPassed
Non-vectorized reader - with partition data column - select only top-level fields0.58 secPassed
Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.83 secPassed
Non-vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output0.77 secPassed
Non-vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.58 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from array0.76 secPassed
Non-vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.72 secPassed
Non-vectorized reader - without partition data column - empty schema intersection0.5 secPassed
Non-vectorized reader - without partition data column - no unnecessary schema pruning0.6 secPassed
Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield0.5 secPassed
Non-vectorized reader - without partition data column - select a single complex field0.54 secPassed
Non-vectorized reader - without partition data column - select a single complex field and in where clause0.85 secPassed
Non-vectorized reader - without partition data column - select a single complex field and is null expression in project0.52 secPassed
Non-vectorized reader - without partition data column - select a single complex field and its parent struct0.6 secPassed
Non-vectorized reader - without partition data column - select a single complex field and the partition column0.5 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and in clause0.63 secPassed
Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array0.51 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.7 secPassed
Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.49 secPassed
Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.65 secPassed
Non-vectorized reader - without partition data column - select explode of nested field of array of struct2.1 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.44 secPassed
Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values0.47 secPassed
Non-vectorized reader - without partition data column - select nested field in Expand0.6 secPassed
Non-vectorized reader - without partition data column - select nested field in Sort0.61 secPassed
Non-vectorized reader - without partition data column - select nested field in aggregation function of Aggregate0.88 secPassed
Non-vectorized reader - without partition data column - select nested field in window function0.59 secPassed
Non-vectorized reader - without partition data column - select nested field in window function and then order by0.75 secPassed
Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.42 secPassed
Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.67 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 join0.78 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition0.88 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2 secPassed
Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.51 secPassed
Non-vectorized reader - without partition data column - select only expressions without references0.53 secPassed
Non-vectorized reader - without partition data column - select only input_file_name()0.48 secPassed
Non-vectorized reader - without partition data column - select only top-level fields0.66 secPassed
SPARK-34638: queries should not fail on unsupported cases0.58 secPassed
Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.84 secPassed
Spark vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output0.77 secPassed
Spark vectorized reader - with partition data column - SPARK-34638: nested column prune on generator output - case-sensitivity0.56 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from array0.77 secPassed
Spark vectorized reader - with partition data column - SPARK-34963: extract case-insensitive struct field from struct0.76 secPassed
Spark vectorized reader - with partition data column - empty schema intersection0.49 secPassed
Spark vectorized reader - with partition data column - no unnecessary schema pruning0.54 secPassed
Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield0.55 secPassed
Spark vectorized reader - with partition data column - select a single complex field0.52 secPassed
Spark vectorized reader - with partition data column - select a single complex field and in where clause0.87 secPassed
Spark vectorized reader - with partition data column - select a single complex field and is null expression in project0.54 secPassed
Spark vectorized reader - with partition data column - select a single complex field and its parent struct0.6 secPassed
Spark vectorized reader - with partition data column - select a single complex field and the partition column0.49 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and in clause0.68 secPassed
Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array0.52 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause0.7 secPassed
Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry0.76 secPassed
Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning0.69 secPassed
Spark vectorized reader - with partition data column - select explode of nested field of array of struct2.1 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys0.45 secPassed
Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values0.5 secPassed
Spark vectorized reader - with partition data column - select nested field in Expand0.75 secPassed
Spark vectorized reader - with partition data column - select nested field in Sort0.71 secPassed
Spark vectorized reader - with partition data column - select nested field in aggregation function of Aggregate0.95 secPassed
Spark vectorized reader - with partition data column - select nested field in window function0.54 secPassed
Spark vectorized reader - with partition data column - select nested field in window function and then order by0.82 secPassed
Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate0.42 secPassed
Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field0.67 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after join0.94 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after outer join0.89 secPassed
Spark vectorized reader - with partition data column - select one deep nested complex field after repartition0.84 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 field0.86 secPassed
Spark vectorized reader - with partition data column - select only expressions without references0.56 secPassed
Spark vectorized reader - with partition data column - select only input_file_name()0.54 secPassed
Spark vectorized reader - with partition data column - select only top-level fields0.68 secPassed
Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations0.88 secPassed
Spark vectorized reader - without partition data column - SPARK-34638: nested column prune on generator output0.77 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 array0.84 secPassed
Spark vectorized reader - without partition data column - SPARK-34963: extract case-insensitive struct field from struct0.76 secPassed
Spark vectorized reader - without partition data column - empty schema intersection0.48 secPassed
Spark vectorized reader - without partition data column - no unnecessary schema pruning0.56 secPassed
Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield0.56 secPassed
Spark vectorized reader - without partition data column - select a single complex field0.56 secPassed
Spark vectorized reader - without partition data column - select a single complex field and in where clause0.7 secPassed
Spark vectorized reader - without partition data column - select a single complex field and is null expression in project0.59 secPassed
Spark vectorized reader - without partition data column - select a single complex field and its parent struct0.58 secPassed
Spark vectorized reader - without partition data column - select a single complex field and the partition column0.52 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and in clause0.67 secPassed
Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array0.62 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause0.76 secPassed
Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry0.63 secPassed
Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning0.69 secPassed
Spark vectorized reader - without partition data column - select explode of nested field of array of struct2.2 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys0.54 secPassed
Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values0.53 secPassed
Spark vectorized reader - without partition data column - select nested field in Expand0.73 secPassed
Spark vectorized reader - without partition data column - select nested field in Sort0.8 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 function0.51 secPassed
Spark vectorized reader - without partition data column - select nested field in window function and then order by0.9 secPassed
Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate0.44 secPassed
Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field0.64 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after join0.95 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after outer join0.8 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition0.89 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field after repartition by expression2.5 secPassed
Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field0.67 secPassed
Spark vectorized reader - without partition data column - select only expressions without references0.53 secPassed
Spark vectorized reader - without partition data column - select only input_file_name()0.72 secPassed
Spark vectorized reader - without partition data column - select only top-level fields0.74 secPassed