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Posted to issues@spark.apache.org by "Haejoon Lee (Jira)" <ji...@apache.org> on 2023/04/18 05:21:00 UTC

[jira] [Comment Edited] (SPARK-42663) Fix `default_session` to work properly

    [ https://issues.apache.org/jira/browse/SPARK-42663?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17713391#comment-17713391 ] 

Haejoon Lee edited comment on SPARK-42663 at 4/18/23 5:20 AM:
--------------------------------------------------------------

Sorry for the late responding, [~Wencong Liu] . It's resolved from SPARK-42859.

If you're still interested in contribution I can recommend some other item for beginners.

Thanks for your interest to contribute to Apache Spark!


was (Author: itholic):
Sorry for the late responding, [~Wencong Liu] . It's resolved from SPARK-42859.

If you're still interested in contribution I can recommend some other item for beginners.

> Fix `default_session` to work properly
> --------------------------------------
>
>                 Key: SPARK-42663
>                 URL: https://issues.apache.org/jira/browse/SPARK-42663
>             Project: Spark
>          Issue Type: Sub-task
>          Components: Connect, Pandas API on Spark
>    Affects Versions: 3.5.0
>            Reporter: Haejoon Lee
>            Priority: Major
>
> Currently, default_session is not working properly in Spark Connect as below:
> {code:java}
> >>> spark = default_session()
> >>> spark.conf.set("default_index_type", "sequence")
> >>> spark.conf.get("default_index_type")
> 'sequence'
> >>>
> >>> spark = default_session()
> >>> spark.conf.get("default_index_type")
> Traceback (most recent call last):
> ...
> pyspark.errors.exceptions.connect.SparkConnectGrpcException: (java.util.NoSuchElementException) default_index_type
> {code}
> It should work as expected in regular PySpark as below:
> {code:java}
> >>> spark = default_session()
> >>> spark.conf.set("default_index_type", "sequence")
> >>> spark.conf.get("default_index_type")
> 'sequence'
> >>>
> >>> spark = default_session()
> >>> spark.conf.get("default_index_type")
> 'sequence'{code}



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