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https://issues.apache.org/jira/browse/SPARK-28082?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16865694#comment-16865694
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Apache Spark commented on SPARK-28082:
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User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/24894
> Add a note to DROPMALFORMED mode of CSV for column pruning
> ----------------------------------------------------------
>
> Key: SPARK-28082
> URL: https://issues.apache.org/jira/browse/SPARK-28082
> Project: Spark
> Issue Type: Documentation
> Components: PySpark, SQL
> Affects Versions: 3.0.0
> Reporter: Liang-Chi Hsieh
> Priority: Trivial
>
> This is inspired by SPARK-28058.
> When using {{DROPMALFORMED}} mode, corrupted records aren't dropped if
> malformed columns aren't read. This behavior is due to CSV parser column
> pruning. Current doc of {{DROPMALFORMED}} doesn't mention the effect of
> column pruning. Users will be confused by the fact that {{DROPMALFORMED}}
> mode doesn't work as expected.
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