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https://issues.apache.org/jira/browse/SPARK-26994?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16780572#comment-16780572
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Murali Aakula commented on SPARK-26994:
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Sample Input:
id,cpt,schedule_date,dstamp,weight,miles
1,MON-14:30,2018-11-30 10:00,29/11/2018 21:07:47,"10,110.12","1,010.12"
2,MON-14:30,2018-11-30 11:00,29/11/2018 21:17:47,"1,110.12","10.10"
Currently, we are reading few columns as string(schedule_date, dstamp, weight,
miles) then converting them using spark sql functions as needed(date, date,
double, double). Kind of Two step process. We can set one date and one
timestamp format on spark config, but not multiple.
> 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: Spark Core, 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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