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https://issues.apache.org/jira/browse/SPARK-19783?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15889886#comment-15889886
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Takeshi Yamamuro commented on SPARK-19783:
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I think we must treat longer length of tokens as malformed ones because
dropping some tokens leads to loss of information. But, I'm not 100% sure that
shorter ones are malformed. What do you think? cc: [~hyukjin.kwon]
I just made a prototype here:
https://github.com/apache/spark/compare/master...maropu:SPARK-19783
This is the version that handles both pattens as malformed.
> Treat shorter/longer lengths of tokens as malformed records in CSV parser
> -------------------------------------------------------------------------
>
> Key: SPARK-19783
> URL: https://issues.apache.org/jira/browse/SPARK-19783
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.1.0
> Reporter: Takeshi Yamamuro
>
> If a length of tokens does not match an expected length in a schema, we
> probably need to treat it as a malformed record.
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/UnivocityParser.scala#L239
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