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https://issues.apache.org/jira/browse/SPARK-26994?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16783425#comment-16783425
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Murali Aakula commented on SPARK-26994:
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We could have defined that format conversion in the setter methods. There are
multiple alternatives to solve our problem. I'm sure that everyone may have
implemented in one or the other alternatives. Also, there will be performance
issues while converting form Raw to User defined object (mentioned in the spark
documentation).
So I thought that, it will actually make sense, if the parsers/readers (Json,
CSV, ..) can handle this conversion. StructField just holds the
values(patterns) just like column name and the column datatype. The conversion
logic will be in the parsers/readers. Hope this makesense.
> Enhance StructField to accept number format or date format
> ----------------------------------------------------------
>
> Key: SPARK-26994
> URL: https://issues.apache.org/jira/browse/SPARK-26994
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Murali Aakula
> Priority: Major
>
> Enhance StructField to accept number format or date format and Enahcne
> reader/steramreader and writer/streamwriter to use these formats.
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