[jira] [Commented] (SPARK-26151) Return partial results for bad CSV records

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-26151?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16696275#comment-16696275 ] 

Apache Spark commented on SPARK-26151:
--------------------------------------

User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/23120

> Return partial results for bad CSV records
> ------------------------------------------
>
>                 Key: SPARK-26151
>                 URL: https://issues.apache.org/jira/browse/SPARK-26151
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Maxim Gekk
>            Priority: Minor
>
> Currently, CSV datasource and from_csv returns a rows with all nulls for bad CSV records in the PERMISSIVE mode even some of fields were parsed and converted successfully. For example, the CSV input:
> {code}
> 0,2013-111-11 12:13:14
> 1,1983-08-04
> {code}
> for the first line returned row is Row(null, null) but value 0 can be parsed and converted successfully. And result can be Row(0, null). This ticket aims to change implementation of UnivocityParser and return the partial result.



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