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Posted to issues@spark.apache.org by "Al M (JIRA)" <ji...@apache.org> on 2015/02/12 13:11:13 UTC
[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory
under Yarn
[ https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14318088#comment-14318088 ]
Al M commented on SPARK-5768:
-----------------------------
So when it says *Memory Used* 3.2GB / 20GB it actually means we are using 3.2GB of memory for caching out of a total 20GB available for caching?
Calling the the column 'Storage Memory' this would be clearer to me. If changing the heading of the column is not an option then a tooltip explaining that it is referring to memory used for storage.
I'd find it pretty useful to have another column that shows my total memory usage. Right now I can only see this by running 'free' or 'top' every machine or looking at the Yarn UI.
> Spark UI Shows incorrect memory under Yarn
> ------------------------------------------
>
> Key: SPARK-5768
> URL: https://issues.apache.org/jira/browse/SPARK-5768
> Project: Spark
> Issue Type: Improvement
> Components: Web UI
> Affects Versions: 1.2.0, 1.2.1
> Environment: Centos 6
> Reporter: Al M
> Priority: Trivial
>
> I am running Spark on Yarn with 2 executors. The executors are running on separate physical machines.
> I have spark.executor.memory set to '40g'. This is because I want to have 40g of memory used on each machine. I have one executor per machine.
> When I run my application I see from 'top' that both my executors are using the full 40g of memory I allocated to them.
> The 'Executors' tab in the Spark UI shows something different. It shows the memory used as a total of 20GB per executor e.g. x / 20.3GB. This makes it look like I only have 20GB available per executor when really I have 40GB available.
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