You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Enrico Minack (Jira)" <ji...@apache.org> on 2025/07/07 20:54:00 UTC
[jira] [Commented] (SPARK-52507) Quick fallback to fallback storage on fetch failure
[ https://issues.apache.org/jira/browse/SPARK-52507?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18003621#comment-18003621 ]
Enrico Minack commented on SPARK-52507:
---------------------------------------
This is fixed in [https://github.com/apache/spark/pull/51202.]
> Quick fallback to fallback storage on fetch failure
> ---------------------------------------------------
>
> Key: SPARK-52507
> URL: https://issues.apache.org/jira/browse/SPARK-52507
> Project: Spark
> Issue Type: Sub-task
> Components: k8s, Kubernetes
> Affects Versions: 4.1.0
> Reporter: Enrico Minack
> Priority: Major
>
> Using the fallback storage with storage decommissioning on Kubernetes can run into the situation where some tasks try to read from an executor that has just been decommissioned. The driver has updated location information of the migrated shuffle data, but the task uses the outdated location.
> Given we have the fallback storage enabled and shuffle data is always migrated to the fallback storage only (SPARK-52506), it is very likely that a fetch failure can be recovered from the fallback storage. The task does not need to go through a fetch failure to restart the task or stage to get hold of the update shuffle data location.
> This benefits from
> 1. connections to decommissioned executors to quickly fail (connection refused rather connection timeout), see SPARK-52505
> 2. storage migration only migrates to the fallback storage, see SPARK-52506
--
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