Track version-specific correctness test exclusions added for Spark suites

## Background
Follow-up for #2281.

PR #2281 enables Parquet correctness suite wrappers and Spark correctness tests for additional Spark versions. To keep those jobs green, it also adds version-specific `exclude`, `excludeByPrefix`, and `disable` entries in `AuronSparkTestSettings.scala`.

## Scope
The goal of this issue is to track those exclusions so they are not lost after #2281 is merged. Each entry should eventually be reviewed and either fixed, re-enabled, or kept excluded with a clear reason.

Tracked entries by version:
- Spark 3.1: 47 entries
- Spark 3.2: 70 entries
- Spark 3.4: 80 entries
- Spark 3.5: 83 entries
- Spark 4.0: 79 entries
- Spark 4.1: 89 entries

Total tracked entries: 448.

## Tracking
The list below was extracted from the #2281 diff for `AuronSparkTestSettings.scala`. It includes Parquet suite exclusions and the Spark correctness suite exclusions added when enabling those jobs.

Full exclusion list by Spark version

### spark31

#### `AuronParquetIOSuite`
- [ ] `exclude`: read dictionary encoded decimals written as INT32
- [ ] `exclude`: read dictionary encoded decimals written as INT64
- [ ] `exclude`: read dictionary encoded decimals written as FIXED_LEN_BYTE_ARRAY
- [ ] `exclude`: read dictionary and plain encoded timestamp_millis written as INT64
- [ ] `exclude`: SPARK-31159: compatibility with Spark 2.4 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write

#### `AuronParquetInteroperabilitySuite`
- [ ] `exclude`: parquet timestamp conversion

#### `AuronParquetProtobufCompatibilitySuite`
- [ ] `exclude`: unannotated array of primitive type
- [ ] `exclude`: unannotated array of struct
- [ ] `exclude`: struct with unannotated array
- [ ] `exclude`: unannotated array of struct with unannotated array
- [ ] `exclude`: unannotated array of string

#### `AuronParquetQuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly

#### `AuronParquetSchemaSuite`
- [ ] `exclude`: schema mismatch failure error message for parquet reader
- [ ] `exclude`: schema mismatch failure error message for parquet vectorized reader

#### `AuronParquetThriftCompatibilitySuite`
- [ ] `exclude`: Read Parquet file generated by parquet-thrift

#### `AuronParquetV1FilterSuite`
- [ ] `excludeByPrefix`: filter pushdown -
- [ ] `exclude`: Filters should be pushed down for vectorized Parquet reader at row group level
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode

#### `AuronParquetV1PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - partition key included in Parquet file
- [ ] `exclude`: read partitioned table - with nulls and partition keys are included in Parquet file
- [ ] `exclude`: SPARK-18108 Parquet reader fails when data column types conflict with partition ones
- [ ] `exclude`: SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

#### `AuronParquetV1QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: returning batch for wide table

#### `AuronParquetV2FilterSuite`
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode

#### `AuronParquetV2QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: returning batch for wide table

### spark32

#### `AuronDataFrameAggregateSuite`
- [ ] `exclude`: SPARK-34837: Support ANSI SQL intervals by the aggregate function `avg`

#### `AuronParquetIOSuite`
- [ ] `exclude`: SPARK-34817: Read UINT_64 as Decimal from parquet
- [ ] `exclude`: SPARK-35640: read binary as timestamp should throw schema incompatible error
- [ ] `exclude`: SPARK-35640: int as long should throw schema incompatible error
- [ ] `exclude`: read dictionary encoded decimals written as INT32
- [ ] `exclude`: read dictionary encoded decimals written as INT64
- [ ] `exclude`: read dictionary encoded decimals written as FIXED_LEN_BYTE_ARRAY
- [ ] `exclude`: read dictionary and plain encoded timestamp_millis written as INT64
- [ ] `exclude`: SPARK-36726: test incorrect Parquet row group file offset
- [ ] `exclude`: SPARK-34167: read LongDecimals with precision < 10, VectorizedReader true
- [ ] `exclude`: SPARK-34167: read LongDecimals with precision < 10, VectorizedReader false

#### `AuronParquetInteroperabilitySuite`
- [ ] `exclude`: parquet timestamp conversion

#### `AuronParquetProtobufCompatibilitySuite`
- [ ] `exclude`: unannotated array of primitive type
- [ ] `exclude`: unannotated array of struct
- [ ] `exclude`: struct with unannotated array
- [ ] `exclude`: unannotated array of struct with unannotated array
- [ ] `exclude`: unannotated array of string

#### `AuronParquetQuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly

#### `AuronParquetRebaseDatetimeSuite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV1Suite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV2Suite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetSchemaSuite`
- [ ] `exclude`: schema mismatch failure error message for parquet reader
- [ ] `exclude`: schema mismatch failure error message for parquet vectorized reader
- [ ] `exclude`: SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with nanosAsLong=true)
- [ ] `exclude`: SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with default nanosAsLong=false)

#### `AuronParquetThriftCompatibilitySuite`
- [ ] `exclude`: Read Parquet file generated by parquet-thrift

#### `AuronParquetV1FilterSuite`
- [ ] `excludeByPrefix`: SPARK-40280: filter pushdown -
- [ ] `excludeByPrefix`: filter pushdown -
- [ ] `exclude`: Filters should be pushed down for vectorized Parquet reader at row group level
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode
- [ ] `exclude`: Support Parquet column index
- [ ] `exclude`: SPARK-34562: Bloom filter push down

#### `AuronParquetV1PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - partition key included in Parquet file
- [ ] `exclude`: read partitioned table - with nulls and partition keys are included in Parquet file
- [ ] `exclude`: SPARK-18108 Parquet reader fails when data column types conflict with partition ones
- [ ] `exclude`: SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

#### `AuronParquetV1QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: returning batch for wide table
- [ ] `exclude`: SPARK-39833: pushed filters with count()
- [ ] `exclude`: SPARK-39833: pushed filters with project without filter columns

#### `AuronParquetV2FilterSuite`
- [ ] `excludeByPrefix`: SPARK-40280: filter pushdown -
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode
- [ ] `exclude`: Support Parquet column index

#### `AuronParquetV2QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: returning batch for wide table

### spark34

#### `AuronDataFrameSuite`
- [ ] `exclude`: SPARK-41048: Improve output partitioning and ordering with AQE cache

#### `AuronParquetFieldIdIOSuite`
- [ ] `exclude`: Parquet reads infer fields using field ids correctly
- [ ] `exclude`: absence of field ids
- [ ] `exclude`: SPARK-38094: absence of field ids: reading nested schema
- [ ] `exclude`: multiple id matches
- [ ] `exclude`: read parquet file without ids
- [ ] `exclude`: global read/write flag should work correctly

#### `AuronParquetIOSuite`
- [ ] `exclude`: vectorized reader: missing all struct fields
- [ ] `exclude`: SPARK-34817: Read UINT_64 as Decimal from parquet
- [ ] `exclude`: SPARK-35640: read binary as timestamp should throw schema incompatible error
- [ ] `exclude`: SPARK-35640: int as long should throw schema incompatible error
- [ ] `exclude`: read dictionary encoded decimals written as INT32
- [ ] `exclude`: read dictionary encoded decimals written as INT64
- [ ] `exclude`: read dictionary encoded decimals written as FIXED_LEN_BYTE_ARRAY
- [ ] `exclude`: read dictionary and plain encoded timestamp_millis written as INT64
- [ ] `exclude`: SPARK-40128 read DELTA_LENGTH_BYTE_ARRAY encoded strings
- [ ] `exclude`: SPARK-36726: test incorrect Parquet row group file offset
- [ ] `exclude`: SPARK-34167: read LongDecimals with precision < 10, VectorizedReader true
- [ ] `exclude`: SPARK-34167: read LongDecimals with precision < 10, VectorizedReader false

#### `AuronParquetInteroperabilitySuite`
- [ ] `exclude`: parquet timestamp conversion

#### `AuronParquetProtobufCompatibilitySuite`
- [ ] `exclude`: unannotated array of primitive type
- [ ] `exclude`: unannotated array of struct
- [ ] `exclude`: struct with unannotated array
- [ ] `exclude`: unannotated array of struct with unannotated array
- [ ] `exclude`: unannotated array of string

#### `AuronParquetQuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: row group skipping doesn't overflow when reading into larger type

#### `AuronParquetRebaseDatetimeSuite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV1Suite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV2Suite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetSchemaSuite`
- [ ] `exclude`: schema mismatch failure error message for parquet reader
- [ ] `exclude`: schema mismatch failure error message for parquet vectorized reader
- [ ] `exclude`: SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with nanosAsLong=true)
- [ ] `exclude`: SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with default nanosAsLong=false)

#### `AuronParquetThriftCompatibilitySuite`
- [ ] `exclude`: Read Parquet file generated by parquet-thrift

#### `AuronParquetV1FilterSuite`
- [ ] `excludeByPrefix`: SPARK-40280: filter pushdown -
- [ ] `excludeByPrefix`: filter pushdown -
- [ ] `exclude`: Filters should be pushed down for vectorized Parquet reader at row group level
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode
- [ ] `exclude`: Support Parquet column index
- [ ] `exclude`: SPARK-34562: Bloom filter push down

#### `AuronParquetV1PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - partition key included in Parquet file
- [ ] `exclude`: read partitioned table - with nulls and partition keys are included in Parquet file
- [ ] `exclude`: SPARK-18108 Parquet reader fails when data column types conflict with partition ones
- [ ] `exclude`: SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

#### `AuronParquetV1QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: row group skipping doesn't overflow when reading into larger type
- [ ] `exclude`: returning batch for wide table
- [ ] `exclude`: SPARK-39833: pushed filters with count()
- [ ] `exclude`: SPARK-39833: pushed filters with project without filter columns

#### `AuronParquetV2FilterSuite`
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode
- [ ] `excludeByPrefix`: SPARK-40280: filter pushdown -
- [ ] `exclude`: Support Parquet column index

#### `AuronParquetV2QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: returning batch for wide table

### spark35

#### `AuronDataFrameAggregateSuite`
- [ ] `exclude`: SPARK-16484: hll_*_agg + hll_union negative tests
- [ ] `exclude`: SPARK-43876: Enable fast hashmap for distinct queries

#### `AuronDataFrameSuite`
- [ ] `exclude`: SPARK-41048: Improve output partitioning and ordering with AQE cache

#### `AuronParquetFieldIdIOSuite`
- [ ] `exclude`: Parquet reads infer fields using field ids correctly
- [ ] `exclude`: absence of field ids
- [ ] `exclude`: SPARK-38094: absence of field ids: reading nested schema
- [ ] `exclude`: multiple id matches
- [ ] `exclude`: read parquet file without ids
- [ ] `exclude`: global read/write flag should work correctly

#### `AuronParquetIOSuite`
- [ ] `exclude`: vectorized reader: missing all struct fields
- [ ] `exclude`: SPARK-34817: Read UINT_64 as Decimal from parquet
- [ ] `exclude`: SPARK-35640: read binary as timestamp should throw schema incompatible error
- [ ] `exclude`: SPARK-35640: int as long should throw schema incompatible error
- [ ] `exclude`: read dictionary encoded decimals written as INT32
- [ ] `exclude`: explode nested lists crossing a rowgroup boundary
- [ ] `exclude`: read dictionary encoded decimals written as INT64
- [ ] `exclude`: read dictionary encoded decimals written as FIXED_LEN_BYTE_ARRAY
- [ ] `exclude`: read dictionary and plain encoded timestamp_millis written as INT64
- [ ] `exclude`: SPARK-40128 read DELTA_LENGTH_BYTE_ARRAY encoded strings
- [ ] `exclude`: SPARK-36726: test incorrect Parquet row group file offset
- [ ] `exclude`: SPARK-34167: read LongDecimals with precision < 10, VectorizedReader true
- [ ] `exclude`: SPARK-34167: read LongDecimals with precision < 10, VectorizedReader false

#### `AuronParquetInteroperabilitySuite`
- [ ] `exclude`: parquet timestamp conversion

#### `AuronParquetProtobufCompatibilitySuite`
- [ ] `exclude`: unannotated array of primitive type
- [ ] `exclude`: unannotated array of struct
- [ ] `exclude`: struct with unannotated array
- [ ] `exclude`: unannotated array of struct with unannotated array
- [ ] `exclude`: unannotated array of string

#### `AuronParquetQuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: row group skipping doesn't overflow when reading into larger type

#### `AuronParquetRebaseDatetimeSuite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV1Suite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV2Suite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetSchemaSuite`
- [ ] `exclude`: schema mismatch failure error message for parquet reader
- [ ] `exclude`: schema mismatch failure error message for parquet vectorized reader
- [ ] `exclude`: SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with nanosAsLong=true)
- [ ] `exclude`: SPARK-40819: parquet file with TIMESTAMP(NANOS, true) (with default nanosAsLong=false)

#### `AuronParquetThriftCompatibilitySuite`
- [ ] `exclude`: Read Parquet file generated by parquet-thrift

#### `AuronParquetV1FilterSuite`
- [ ] `excludeByPrefix`: SPARK-40280: filter pushdown -
- [ ] `excludeByPrefix`: filter pushdown -
- [ ] `exclude`: Filters should be pushed down for vectorized Parquet reader at row group level
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode
- [ ] `exclude`: Support Parquet column index
- [ ] `exclude`: SPARK-34562: Bloom filter push down

#### `AuronParquetV1PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - partition key included in Parquet file
- [ ] `exclude`: read partitioned table - with nulls and partition keys are included in Parquet file
- [ ] `exclude`: SPARK-18108 Parquet reader fails when data column types conflict with partition ones
- [ ] `exclude`: SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

#### `AuronParquetV1QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: row group skipping doesn't overflow when reading into larger type
- [ ] `exclude`: returning batch for wide table
- [ ] `exclude`: SPARK-39833: pushed filters with count()
- [ ] `exclude`: SPARK-39833: pushed filters with project without filter columns

#### `AuronParquetV2FilterSuite`
- [ ] `excludeByPrefix`: SPARK-40280: filter pushdown -
- [ ] `exclude`: SPARK-31026: Parquet predicate pushdown for fields having dots in the names
- [ ] `exclude`: Filters should be pushed down for Parquet readers at row group level
- [ ] `exclude`: SPARK-23852: Broken Parquet push-down for partially-written stats
- [ ] `exclude`: SPARK-17091: Convert IN predicate to Parquet filter push-down
- [ ] `exclude`: SPARK-25207: exception when duplicate fields in case-insensitive mode
- [ ] `exclude`: Support Parquet column index

#### `AuronParquetV2QuerySuite`
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: returning batch for wide table

### spark40

#### `AuronDataFrameFunctionsSuite`
- [ ] `disable`: Native execution can crash after ParquetQuery in Spark 4

#### `AuronDateFunctionsSuite`
- [ ] `exclude`: SPARK-30668: use legacy timestamp parser in to_timestamp

#### `AuronMathFunctionsSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronMiscFunctionsSuite`
- [ ] `exclude`: reflect and java_method

#### `AuronStringFunctionsSuite`
- [ ] `exclude`: string concat
- [ ] `exclude`: string concat_ws
- [ ] `exclude`: UTF-8 string validate
- [ ] `exclude`: RegExpReplace throws the right exception when replace fails on a particular row

#### `AuronDataFrameAggregateSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronDatasetAggregatorSuite`
- [ ] `disable`: Native dataset aggregators fail in Spark 4

#### `AuronTypedImperativeAggregateSuite`
- [ ] `disable`: Native execution can crash after ParquetQuery in Spark 4

#### `AuronDataFrameSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetAvroCompatibilitySuite`
- [ ] `exclude`: required primitives
- [ ] `exclude`: optional primitives
- [ ] `exclude`: non-nullable arrays
- [ ] `exclude`: SPARK-10136 array of primitive array
- [ ] `exclude`: map of primitive array
- [ ] `exclude`: various complex types
- [ ] `exclude`: SPARK-9407 Push down predicates involving Parquet ENUM columns

#### `AuronParquetColumnIndexSuite`
- [ ] `exclude`: reading from unaligned pages - test filters
- [ ] `exclude`: test reading unaligned pages - test all types (dict encode)
- [ ] `exclude`: SPARK-36123: reading from unaligned pages - test filters with nulls
- [ ] `exclude`: test reading unaligned pages - test all types
- [ ] `exclude`: reading unaligned pages - struct type

#### `AuronParquetEncodingSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetFieldIdIOSuite`
- [ ] `disable`: Native parquet field id reads fail in Spark 4

#### `AuronParquetIOSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetInteroperabilitySuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetPartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - normal case
- [ ] `exclude`: Resolve type conflicts - decimals, dates and timestamps in partition column

#### `AuronParquetProtobufCompatibilitySuite`
- [ ] `exclude`: unannotated array of primitive type
- [ ] `exclude`: unannotated array of struct
- [ ] `exclude`: struct with unannotated array
- [ ] `exclude`: unannotated array of struct with unannotated array
- [ ] `exclude`: unannotated array of string

#### `AuronParquetQuerySuite`
- [ ] `exclude`: simple select queries
- [ ] `exclude`: appending
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly

#### `AuronParquetRebaseDatetimeSuite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV1Suite`
- [ ] `disable`: Spark 4 test resources use jar paths unsupported by Hadoop Path

#### `AuronParquetRebaseDatetimeV2Suite`
- [ ] `disable`: Spark 4 test resources use jar paths unsupported by Hadoop Path

#### `AuronParquetSchemaPruningSuite`
- [ ] `disable`: Native parquet schema pruning reads fail in Spark 4

#### `AuronParquetSchemaSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetThriftCompatibilitySuite`
- [ ] `disable`: Spark 4 test resources use jar paths unsupported by Hadoop Path

#### `AuronParquetV1FilterSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetV1PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - normal case
- [ ] `exclude`: read partitioned table - partition key included in Parquet file
- [ ] `exclude`: read partitioned table - with nulls and partition keys are included in Parquet file
- [ ] `exclude`: SPARK-18108 Parquet reader fails when data column types conflict with partition ones
- [ ] `exclude`: SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

#### `AuronParquetV1QuerySuite`
- [ ] `exclude`: simple select queries
- [ ] `exclude`: appending
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: returning batch for wide table
- [ ] `exclude`: SPARK-39833: pushed filters with count()
- [ ] `exclude`: SPARK-39833: pushed filters with project without filter columns

#### `AuronParquetV1SchemaPruningSuite`
- [ ] `disable`: Native parquet schema pruning reads fail in Spark 4

#### `AuronParquetV2FilterSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetV2PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - normal case
- [ ] `exclude`: SPARK-22109: Resolve type conflicts between strings and timestamps in partition column

#### `AuronParquetV2QuerySuite`
- [ ] `exclude`: simple select queries
- [ ] `exclude`: appending
- [ ] `exclude`: self-join
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: returning batch for wide table

#### `AuronParquetV2SchemaPruningSuite`
- [ ] `disable`: Native parquet schema pruning reads fail in Spark 4

### spark41

#### `AuronDataFrameFunctionsSuite`
- [ ] `disable`: Native execution can crash after ParquetQuery in Spark 4

#### `AuronDateFunctionsSuite`
- [ ] `exclude`: SPARK-30668: use legacy timestamp parser in to_timestamp

#### `AuronMathFunctionsSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronMiscFunctionsSuite`
- [ ] `exclude`: reflect and java_method

#### `AuronStringFunctionsSuite`
- [ ] `exclude`: string concat
- [ ] `exclude`: string concat_ws
- [ ] `exclude`: UTF-8 string validate
- [ ] `exclude`: RegExpReplace throws the right exception when replace fails on a particular row

#### `AuronDataFrameAggregateSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronDatasetAggregatorSuite`
- [ ] `disable`: Native dataset aggregators fail in Spark 4

#### `AuronTypedImperativeAggregateSuite`
- [ ] `disable`: Native execution can crash after ParquetQuery in Spark 4

#### `AuronDataFrameSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetAvroCompatibilitySuite`
- [ ] `exclude`: required primitives
- [ ] `exclude`: optional primitives
- [ ] `exclude`: non-nullable arrays
- [ ] `exclude`: SPARK-10136 array of primitive array
- [ ] `exclude`: map of primitive array
- [ ] `exclude`: various complex types
- [ ] `exclude`: SPARK-9407 Push down predicates involving Parquet ENUM columns

#### `AuronParquetColumnIndexSuite`
- [ ] `exclude`: reading from unaligned pages - test filters
- [ ] `exclude`: test reading unaligned pages - test all types (dict encode)
- [ ] `exclude`: SPARK-36123: reading from unaligned pages - test filters with nulls
- [ ] `exclude`: test reading unaligned pages - test all types
- [ ] `exclude`: reading unaligned pages - struct type

#### `AuronParquetEncodingSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetFieldIdIOSuite`
- [ ] `disable`: Native parquet field id reads fail in Spark 4

#### `AuronParquetFileFormatSuite`
- [ ] `exclude`: Write and read back TIME values

#### `AuronParquetFileFormatV1Suite`
- [ ] `exclude`: Write and read back TIME values

#### `AuronParquetFileFormatV2Suite`
- [ ] `exclude`: Write and read back TIME values

#### `AuronParquetIOSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetInteroperabilitySuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetPartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - normal case
- [ ] `exclude`: Infer the TIME data type from partition values

#### `AuronParquetProtobufCompatibilitySuite`
- [ ] `exclude`: unannotated array of primitive type
- [ ] `exclude`: unannotated array of struct
- [ ] `exclude`: struct with unannotated array
- [ ] `exclude`: unannotated array of struct with unannotated array
- [ ] `exclude`: unannotated array of string

#### `AuronParquetQuerySuite`
- [ ] `exclude`: simple select queries
- [ ] `exclude`: appending
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: create table with TIME

#### `AuronParquetRebaseDatetimeSuite`
- [ ] `exclude`: SPARK-31159, SPARK-37705: compatibility with Spark 2.4/3.2 in reading dates/timestamps
- [ ] `exclude`: SPARK-31159, SPARK-37705: rebasing timestamps in write
- [ ] `exclude`: SPARK-31159: rebasing dates in write
- [ ] `exclude`: SPARK-35427: datetime rebasing in the EXCEPTION mode

#### `AuronParquetRebaseDatetimeV1Suite`
- [ ] `disable`: Spark 4 test resources use jar paths unsupported by Hadoop Path

#### `AuronParquetRebaseDatetimeV2Suite`
- [ ] `disable`: Spark 4 test resources use jar paths unsupported by Hadoop Path

#### `AuronParquetSchemaPruningSuite`
- [ ] `disable`: Native parquet schema pruning reads fail in Spark 4

#### `AuronParquetSchemaSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetThriftCompatibilitySuite`
- [ ] `disable`: Spark 4 test resources use jar paths unsupported by Hadoop Path

#### `AuronParquetV1FilterSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetV1PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - normal case
- [ ] `exclude`: Infer the TIME data type from partition values
- [ ] `exclude`: read partitioned table - partition key included in Parquet file
- [ ] `exclude`: read partitioned table - with nulls and partition keys are included in Parquet file
- [ ] `exclude`: SPARK-18108 Parquet reader fails when data column types conflict with partition ones
- [ ] `exclude`: SPARK-21463: MetadataLogFileIndex should respect userSpecifiedSchema for partition cols

#### `AuronParquetV1QuerySuite`
- [ ] `exclude`: simple select queries
- [ ] `exclude`: appending
- [ ] `exclude`: create table with TIME
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: Enabling/disabling ignoreCorruptFiles
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: SPARK-34212 Parquet should read decimals correctly
- [ ] `exclude`: returning batch for wide table
- [ ] `exclude`: SPARK-39833: pushed filters with count()
- [ ] `exclude`: SPARK-39833: pushed filters with project without filter columns

#### `AuronParquetV1SchemaPruningSuite`
- [ ] `disable`: Native parquet schema pruning reads fail in Spark 4

#### `AuronParquetV2FilterSuite`
- [ ] `disable`: Native execution can crash in Spark 4

#### `AuronParquetV2PartitionDiscoverySuite`
- [ ] `exclude`: read partitioned table - normal case
- [ ] `exclude`: Infer the TIME data type from partition values
- [ ] `exclude`: _SUCCESS should not break partitioning discovery
- [ ] `exclude`: Resolve type conflicts - decimals, dates and timestamps in partition column
- [ ] `exclude`: SPARK-22109: Resolve type conflicts between strings and timestamps in partition column

#### `AuronParquetV2QuerySuite`
- [ ] `exclude`: simple select queries
- [ ] `exclude`: appending
- [ ] `exclude`: self-join
- [ ] `exclude`: create table with TIME
- [ ] `exclude`: SPARK-10634 timestamp written and read as INT64 - truncation
- [ ] `exclude`: SPARK-26677: negated null-safe equality comparison should not filter matched row groups
- [ ] `exclude`: Migration from INT96 to TIMESTAMP_MICROS timestamp type
- [ ] `exclude`: returning batch for wide table

#### `AuronParquetV2SchemaPruningSuite`
- [ ] `disable`: Native parquet schema pruning reads fail in Spark 4

## Notes
Larger groups can be split into smaller issues or PRs.

Start with AuronSparkTestSettings.scala and compare its version-specific exclusions with the diff from #2281. Review the 448 tracked entries by Spark version and suite, then determine whether each should be fixed, re-enabled, or retained with a clear reason. Done means every listed exclusion has a documented disposition and the affected Spark correctness suites remain accounted for.

Written by the indexing model from the issue text.