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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2022/04/09 10:18:00 UTC

[jira] [Assigned] (SPARK-38425) Avoid possible errors due to incorrect file size or type supplied in hadoop conf.

     [ https://issues.apache.org/jira/browse/SPARK-38425?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-38425:
------------------------------------

    Assignee: Apache Spark

> Avoid possible errors due to incorrect file size or type supplied in hadoop conf.
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-38425
>                 URL: https://issues.apache.org/jira/browse/SPARK-38425
>             Project: Spark
>          Issue Type: Improvement
>          Components: Kubernetes
>    Affects Versions: 3.2.1
>            Reporter: luyuan
>            Assignee: Apache Spark
>            Priority: Major
>
> This would avoid failures, in case the files are a bit large or a user places a binary file inside the HADOOP_CONF_DIR.
> Both of which are not supported at the moment.
> The reason is, underlying etcd store does limit the size of each entry to only 1.5 MiB.
> [https://etcd.io/docs/v3.4.0/dev-guide/limit/] 
> We can process this like SPARK-32221 https://issues.apache.org/jira/browse/SPARK-32221.



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