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https://issues.apache.org/jira/browse/SPARK-59854?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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L. C. Hsieh updated SPARK-59854:
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Affects Version/s: 4.4.0
(was: 5.0.0)
> Report the column in decoding errors of the vectorized Parquet reader
> ---------------------------------------------------------------------
>
> Key: SPARK-59854
> URL: https://issues.apache.org/jira/browse/SPARK-59854
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.4.0
> Reporter: L. C. Hsieh
> Priority: Minor
>
> Most decoding errors thrown by the vectorized Parquet reader while reading a
> batch, e.g. the ParquetDecodingExceptions from VectorizedRleValuesReader
> (SPARK-59832) and from the PLAIN, DELTA_LENGTH_BYTE_ARRAY and
> DELTA_BYTE_ARRAY readers (SPARK-59812), do not say which column is corrupt.
> The error only names the file, which makes a corrupt page hard to locate in a
> wide table.
> Errors thrown while initializing a page are already wrapped with the page and
> the column by VectorizedColumnReader (readPageV1/readPageV2/initDataReader).
> Decoding errors thrown later from VectorizedColumnReader.readBatch could be
> wrapped the same way, e.g. by catching ParquetDecodingException there and
> adding the column descriptor.
> This came up in the review of SPARK-59832
> (https://github.com/apache/spark/pull/59117).
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