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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2019/06/17 15:54:00 UTC
[jira] [Updated] (SPARK-28082) Add a note to DROPMALFORMED mode of
CSV for column pruning
[ https://issues.apache.org/jira/browse/SPARK-28082?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-28082:
----------------------------------
Component/s: Documentation
> 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: Documentation, 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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