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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-25143) Support data source name mapping configuration
Date Fri, 17 Aug 2018 12:47:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-25143?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16583859#comment-16583859
] 

Apache Spark commented on SPARK-25143:
--------------------------------------

User 'dongjoon-hyun' has created a pull request for this issue:
https://github.com/apache/spark/pull/22134

> Support data source name mapping configuration
> ----------------------------------------------
>
>                 Key: SPARK-25143
>                 URL: https://issues.apache.org/jira/browse/SPARK-25143
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Dongjoon Hyun
>            Priority: Major
>
> Currently, for better UX, Apache Spark provides data source backward compatibility by
using the pre-defined built-in `backwardCompatibilityMap`.
>  * [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala#L564]
> Although this mapping table is maintained carefully, but it's not flexible when we have
multiple implementations like Avro/CSV/ORC.
> This issue aims to extend Spark backward-compatibility-mapping capability by allowing
users provide a custom mapping in a general manner as configuration. If a user faces some
issue with the provided mapping, he/she can override it by configuration.



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