Arrow: Fix ClassCastException in vectorized reader on int-to-long pro…#16343
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CTTY
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LGTM! just one minor comment
ldudas-marx
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May 18, 2026
ldudas-marx
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May 18, 2026
…motion with INT logical type Fix ClassCastException: BigIntVector cannot be cast to IntVector when reading Parquet files with INT(32, true) logical type annotation after promoting a column from int to long. The vectorized reader's LogicalTypeVisitor now allocates vectors based on the Parquet physical type instead of deriving them from the (potentially promoted) Iceberg schema type. Root Cause: In VectorizedArrowReader.allocateFieldVector(), the Arrow field was created from the Iceberg schema type (which reflects the promoted LongType), producing a BigIntVector. The LogicalTypeVisitor then cast this vector to IntVector based on the Parquet file's INT(32) logical type, causing the mismatch. The non-vectorized reader (BaseParquetReaders) already handles this correctly by checking the expected Iceberg type and using IntAsLongReader for promotion. The vectorized reader relies on the accessor layer for widening (IntAccessor.getLong() widens int to long), so the fix ensures the vector matches the physical data layout. Tests: - testIntToLongPromotionWithLogicalType: verifies reading after promotion when file has INT(32, true) annotation (the reported crash) - testIntToLongPromotionWithoutLogicalType: verifies reading after promotion when file has bare INT32
testIntToLongPromotionWithLargeValuesAndReuseContainers and address some minor comments
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…motion with INT logical type
Fix ClassCastException: BigIntVector cannot be cast to IntVector when reading Parquet files with INT(32, true) logical type annotation after promoting a column from int to long.
The vectorized reader's LogicalTypeVisitor now allocates vectors based on the Parquet physical type instead of deriving them from the (potentially promoted) Iceberg schema type.
Root Cause:
In VectorizedArrowReader.allocateFieldVector(), the Arrow field was created from the Iceberg schema type (which reflects the promoted LongType), producing a BigIntVector. The LogicalTypeVisitor then cast this vector to IntVector based on the Parquet file's INT(32) logical type, causing the mismatch.
The non-vectorized reader (BaseParquetReaders) already handles this correctly by checking the expected Iceberg type and using IntAsLongReader for promotion. The vectorized reader relies on the accessor layer for widening (IntAccessor.getLong() widens int to long), so the fix ensures the vector matches the physical data layout.
Tests:
Fixes #16341