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Posted to issues@spark.apache.org by "Kamal Gurala (JIRA)" <ji...@apache.org> on 2017/05/03 19:35:05 UTC
[jira] [Commented] (SPARK-20562) Support Maintenance by having a
threshold for unavailability
[ https://issues.apache.org/jira/browse/SPARK-20562?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15995493#comment-15995493 ]
Kamal Gurala commented on SPARK-20562:
--------------------------------------
Spark is not smart about offers that might be scheduled for maintenance i.e. has an Unavailability period set. It also cannot estimate the amount of time a scheduled Task would use an Offer for.
It is however easier for Users to guess how long they think a Task would run for. So they can easily set a Configurable Threshold(x) that makes the Spark scheduler be wary of which offers it can accept and which ones might go under maintenance in x amount of time.
> Support Maintenance by having a threshold for unavailability
> ------------------------------------------------------------
>
> Key: SPARK-20562
> URL: https://issues.apache.org/jira/browse/SPARK-20562
> Project: Spark
> Issue Type: Bug
> Components: Mesos
> Affects Versions: 2.1.0
> Reporter: Kamal Gurala
>
> Make Spark be aware of offers that have an unavailability period set because of a scheduled Maintenance on the node.
> Have a configurable option that's a threshold which ensures that tasks are not scheduled on offers that are within a threshold for maintenance
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