You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/02/14 14:02:00 UTC

[jira] [Commented] (SPARK-42437) Pyspark catalog.cacheTable allow to specify storage level

    [ https://issues.apache.org/jira/browse/SPARK-42437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17688517#comment-17688517 ] 

Apache Spark commented on SPARK-42437:
--------------------------------------

User 'khalidmammadov' has created a pull request for this issue:
https://github.com/apache/spark/pull/40015

> Pyspark catalog.cacheTable allow to specify storage level
> ---------------------------------------------------------
>
>                 Key: SPARK-42437
>                 URL: https://issues.apache.org/jira/browse/SPARK-42437
>             Project: Spark
>          Issue Type: Improvement
>          Components: Connect, PySpark
>    Affects Versions: 3.5.0
>            Reporter: Khalid Mammadov
>            Priority: Major
>
> Currently PySpark version of catalog.cacheTable function does not support to specify storage level. This is to add that.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org