GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/22134
[SPARK-25143][SQL] Support data source name mapping configuration
## What changes were proposed in this pull request?
Currently, for better UX, Apache Spark provides data source backward
compatibility by using the predefined 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 introduced many
additional options to decide which implementation will be use for the
registered `shortName` (like `csv`, `orc`, `avro`).
This PR 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. Also, this will reduce the complexity in the code, too.
## How was this patch tested?
Pass the Jenkins with a newly added test case.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-25143
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/22134.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #22134
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commit e477a8ed6d2ea331be357a6fbbb3d55c504971b1
Author: Dongjoon Hyun <dongjoon@...>
Date: 2018-08-17T12:27:32Z
[SPARK-25143][SQL] Support data source name mapping configuration
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