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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2018/08/24 01:21:00 UTC

[jira] [Commented] (SPARK-24814) Relationship between catalog and datasources

    [ https://issues.apache.org/jira/browse/SPARK-24814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16591029#comment-16591029 ] 

Xiao Li commented on SPARK-24814:
---------------------------------

Also cc [~cloud_fan]

> Relationship between catalog and datasources
> --------------------------------------------
>
>                 Key: SPARK-24814
>                 URL: https://issues.apache.org/jira/browse/SPARK-24814
>             Project: Spark
>          Issue Type: New Feature
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: Bruce Robbins
>            Priority: Major
>
> This is somewhat related, though not identical to, [~rdblue]'s SPIP on datasources and catalogs.
> Here are the requirements (IMO) for fully implementing V2 datasources and their relationships to catalogs:
>  # The global catalog should be configurable (the default can be HMS, but it should be overridable).
>  # The default catalog (or an explicitly specified catalog in a query, once multiple catalogs are supported) can determine the V2 datasource to use for reading and writing the data.
>  # Once multiple catalogs are supported, a user should be able to specify a catalog on spark.read and df.write operations. As specified above, The catalog would determine the datasource to use for the read or write operation.
> Old #3:
> -Conversely, a V2 datasource can determine which catalog to use for resolution (e.g., if the user issues {{spark.read.format("acmex").table("mytable")}}, the acmex datasource would decide which catalog to use for resolving “mytable”).-



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