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https://issues.apache.org/jira/browse/SPARK-46092?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Josh Rosen updated SPARK-46092:
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Labels: correctness pull-request-available (was: pull-request-available)
> Overflow in Parquet row group filter creation causes incorrect results
> ----------------------------------------------------------------------
>
> Key: SPARK-46092
> URL: https://issues.apache.org/jira/browse/SPARK-46092
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.5.0
> Reporter: Johan Lasperas
> Priority: Major
> Labels: correctness, pull-request-available
>
> While the parquet readers don't support reading parquet values into larger
> Spark types, it's possible to trigger an overflow when creating a Parquet row
> group filter that will then incorrectly skip row groups and bypass the
> exception in the reader,
> Repro:
> {code:java}
> Seq(0).toDF("a").write.parquet(path)
> spark.read.schema("a LONG").parquet(path).where(s"a <
> ${Long.MaxValue}").collect(){code}
> This succeeds and returns no results. This should either fail if the Parquet
> reader doesn't support the upcast from int to long or produce result `[0]` if
> it does.
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