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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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