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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2024/07/13 08:39:00 UTC

[jira] [Reopened] (SPARK-48883) In spark ML, replace RDD read / write API invocation with Dataframe read / write API

     [ https://issues.apache.org/jira/browse/SPARK-48883?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon reopened SPARK-48883:
----------------------------------
      Assignee: Hyukjin Kwon  (was: Weichen Xu)

Reverted at https://github.com/apache/spark/commit/cc321373e223d6c87d3ec58160cbe3911e0fc466

> In spark ML, replace RDD read / write API invocation with Dataframe read / write API
> ------------------------------------------------------------------------------------
>
>                 Key: SPARK-48883
>                 URL: https://issues.apache.org/jira/browse/SPARK-48883
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML
>    Affects Versions: 4.0.0
>            Reporter: Weichen Xu
>            Assignee: Hyukjin Kwon
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>
> In spark ML, replace RDD read / write API invocation with Dataframe read / write API.
>  
> Motivation:
> In databricks runtime, RDD read / write API has some issue for certain storage types that requires the account key, but Dataframe read / write API works.



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