[jira] [Assigned] (SPARK-32439) Override datasource implementation during look up via configuration

["Apache Spark (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-32439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-32439:
------------------------------------

    Assignee: Apache Spark

> Override datasource implementation during look up via configuration
> -------------------------------------------------------------------
>
>                 Key: SPARK-32439
>                 URL: https://issues.apache.org/jira/browse/SPARK-32439
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Terry Kim
>            Assignee: Apache Spark
>            Priority: Minor
>
> We need a mechanism to override the datasource implementation via configuration.
> For example, suppose I have a custom CSV datasource implementation called "my_csv". One way to use it is:
> {code}
>  val df = spark.read.format("my_csv").load(...)
> {code}
> Since the source data is the same format (CSV), you should be able to override the default implementation.
> One proposal is to do the following:
> {code}
> spark.conf.set("spark.sql.datasource.override.csv", "my_csv") val df = spark.read.csv(...)
> {code}
> This has a benefit that the user doesn't have to change the application code to try out a new datasource implementation for the same source format.



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