| Case-insensitive parser - mixed-case schema - filter with different-case column names | 1.1 sec | Passed |
| Case-insensitive parser - mixed-case schema - select with different-case column names | 1 sec | Passed |
| Case-insensitive parser - mixed-case schema - select with exact column names | 1 sec | Passed |
| Case-insensitive parser - mixed-case schema - select with lowercase column names | 1.1 sec | Passed |
| Case-insensitive parser - mixed-case schema - subquery filter with different-case column names | 1.3 sec | Passed |
| Case-sensitive parser - mixed-case schema - select with exact column names | 1.1 sec | Passed |
| Non-vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations | 0.54 sec | Passed |
| Non-vectorized reader - with partition data column - empty schema intersection | 0.69 sec | Passed |
| Non-vectorized reader - with partition data column - no unnecessary schema pruning | 0.7 sec | Passed |
| Non-vectorized reader - with partition data column - partial schema intersection - select missing subfield | 0.68 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field | 0.73 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field and in where clause | 1.2 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field and is null expression in project | 0.83 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field and its parent struct | 0.83 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field and the partition column | 0.74 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field array and in clause | 0.71 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field array and its parent struct array | 0.77 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field from a map entry and in clause | 0.7 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry | 0.74 sec | Passed |
| Non-vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning | 0.95 sec | Passed |
| Non-vectorized reader - with partition data column - select nested field from a complex map key using map_keys | 0.48 sec | Passed |
| Non-vectorized reader - with partition data column - select nested field from a complex map value using map_values | 0.57 sec | Passed |
| Non-vectorized reader - with partition data column - select nullable complex field and having is not null predicate | 0.49 sec | Passed |
| Non-vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field | 0.57 sec | Passed |
| Non-vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field | 0.53 sec | Passed |
| Non-vectorized reader - with partition data column - select only expressions without references | 0.57 sec | Passed |
| Non-vectorized reader - with partition data column - select only input_file_name() | 0.51 sec | Passed |
| Non-vectorized reader - with partition data column - select only top-level fields | 0.78 sec | Passed |
| Non-vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations | 0.54 sec | Passed |
| Non-vectorized reader - without partition data column - empty schema intersection | 0.73 sec | Passed |
| Non-vectorized reader - without partition data column - no unnecessary schema pruning | 0.79 sec | Passed |
| Non-vectorized reader - without partition data column - partial schema intersection - select missing subfield | 0.64 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field | 0.77 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field and in where clause | 1 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field and is null expression in project | 0.82 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field and its parent struct | 0.81 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field and the partition column | 0.79 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field array and in clause | 0.74 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field array and its parent struct array | 0.72 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field from a map entry and in clause | 0.76 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry | 0.7 sec | Passed |
| Non-vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning | 0.7 sec | Passed |
| Non-vectorized reader - without partition data column - select nested field from a complex map key using map_keys | 0.44 sec | Passed |
| Non-vectorized reader - without partition data column - select nested field from a complex map value using map_values | 0.5 sec | Passed |
| Non-vectorized reader - without partition data column - select nullable complex field and having is not null predicate | 0.63 sec | Passed |
| Non-vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field | 0.72 sec | Passed |
| Non-vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field | 0.6 sec | Passed |
| Non-vectorized reader - without partition data column - select only expressions without references | 0.53 sec | Passed |
| Non-vectorized reader - without partition data column - select only input_file_name() | 0.4 sec | Passed |
| Non-vectorized reader - without partition data column - select only top-level fields | 0.92 sec | Passed |
| Spark vectorized reader - with partition data column - SPARK-32163: nested pruning should work even with cosmetic variations | 0.56 sec | Passed |
| Spark vectorized reader - with partition data column - empty schema intersection | 0.75 sec | Passed |
| Spark vectorized reader - with partition data column - no unnecessary schema pruning | 0.81 sec | Passed |
| Spark vectorized reader - with partition data column - partial schema intersection - select missing subfield | 0.73 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field | 0.85 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field and in where clause | 1.1 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field and is null expression in project | 0.83 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field and its parent struct | 0.73 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field and the partition column | 0.77 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field array and in clause | 0.71 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field array and its parent struct array | 0.69 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field from a map entry and in clause | 0.83 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field from a map entry and its parent map entry | 0.68 sec | Passed |
| Spark vectorized reader - with partition data column - select a single complex field with disabled nested schema pruning | 0.99 sec | Passed |
| Spark vectorized reader - with partition data column - select nested field from a complex map key using map_keys | 0.5 sec | Passed |
| Spark vectorized reader - with partition data column - select nested field from a complex map value using map_values | 0.46 sec | Passed |
| Spark vectorized reader - with partition data column - select nullable complex field and having is not null predicate | 0.5 sec | Passed |
| Spark vectorized reader - with partition data column - select one complex field and having is null predicate on another complex field | 0.62 sec | Passed |
| Spark vectorized reader - with partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field | 0.57 sec | Passed |
| Spark vectorized reader - with partition data column - select only expressions without references | 0.57 sec | Passed |
| Spark vectorized reader - with partition data column - select only input_file_name() | 0.41 sec | Passed |
| Spark vectorized reader - with partition data column - select only top-level fields | 0.88 sec | Passed |
| Spark vectorized reader - without partition data column - SPARK-32163: nested pruning should work even with cosmetic variations | 0.65 sec | Passed |
| Spark vectorized reader - without partition data column - empty schema intersection | 0.73 sec | Passed |
| Spark vectorized reader - without partition data column - no unnecessary schema pruning | 0.85 sec | Passed |
| Spark vectorized reader - without partition data column - partial schema intersection - select missing subfield | 0.8 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field | 0.85 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field and in where clause | 1.1 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field and is null expression in project | 1 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field and its parent struct | 0.9 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field and the partition column | 0.93 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field array and in clause | 0.91 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field array and its parent struct array | 0.86 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field from a map entry and in clause | 1 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field from a map entry and its parent map entry | 0.83 sec | Passed |
| Spark vectorized reader - without partition data column - select a single complex field with disabled nested schema pruning | 0.93 sec | Passed |
| Spark vectorized reader - without partition data column - select nested field from a complex map key using map_keys | 0.59 sec | Passed |
| Spark vectorized reader - without partition data column - select nested field from a complex map value using map_values | 0.52 sec | Passed |
| Spark vectorized reader - without partition data column - select nullable complex field and having is not null predicate | 0.53 sec | Passed |
| Spark vectorized reader - without partition data column - select one complex field and having is null predicate on another complex field | 0.57 sec | Passed |
| Spark vectorized reader - without partition data column - select one deep nested complex field and having is null predicate on another deep nested complex field | 0.65 sec | Passed |
| Spark vectorized reader - without partition data column - select only expressions without references | 0.6 sec | Passed |
| Spark vectorized reader - without partition data column - select only input_file_name() | 0.49 sec | Passed |
| Spark vectorized reader - without partition data column - select only top-level fields | 1.2 sec | Passed |
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