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Posted to issues@spark.apache.org by "Dongjoon Hyun (JIRA)" <ji...@apache.org> on 2018/08/17 12:28:00 UTC
[jira] [Updated] (SPARK-25143) Support data source name mapping
configuration
[ https://issues.apache.org/jira/browse/SPARK-25143?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-25143:
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Summary: Support data source name mapping configuration (was: Support custom map for data sources)
> 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. (For the detail, please see SPARK-24924 for the discussion.)
> 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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