L. C. Hsieh created SPARK-59832:
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Summary: Fail on truncated input in the vectorized RLE reader
Key: SPARK-59832
URL: https://issues.apache.org/jira/browse/SPARK-59832
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 5.0.0
Reporter: L. C. Hsieh
Follow-up of SPARK-59812. The vectorized RLE/bit-packing hybrid reader
(VectorizedRleValuesReader), used for definition/repetition levels, dictionary
ids and booleans, does not fail when the encoded data ends before the requested
values are read:
* When readNextGroup() returns false at the end of the stream, the batch read
and skip loops silently break, so dictionary ids and levels are only partially
read or skipped.
* readBooleans ignores the return value of readNextGroup(). At the end of the
stream currentCount stays 0, so the loop makes no progress and never terminates.
* readInteger() also ignores the return value of readNextGroup().
* The length passed to sliceStream(length) for levels, and the PACKED run size
`numGroups * bitWidth`, are read from the file without validation.
The reader should fail with a ParquetDecodingException in these cases, like the
other vectorized readers now do.
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