[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory under Yarn

2015-06-26 Thread Kousuke Saruta (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14602819#comment-14602819
 ] 

Kousuke Saruta commented on SPARK-5768:
---

[~srowen] Oh, I see. Thanks for letting me know. If 1.4.1 is released without 
another RC, I'll modify the fix version.

> 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
>Assignee: Rekha Joshi
>Priority: Trivial
> Fix For: 1.4.1, 1.5.0
>
>
> 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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[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory under Yarn

2015-06-25 Thread Rekha Joshi (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14601674#comment-14601674
 ] 

Rekha Joshi commented on SPARK-5768:


Got it.Thanks [~sowen]

> 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
>Assignee: Rekha Joshi
>Priority: Trivial
> Fix For: 1.4.1, 1.5.0
>
>
> 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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[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory under Yarn

2015-06-25 Thread Sean Owen (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14601098#comment-14601098
 ] 

Sean Owen commented on SPARK-5768:
--

I set it, and added you to the Committers role, which should let you change 
Assignee. I think this is all correct but note that if (unlikely) 1.4.1 is 
released without another RC then this won't be fixed for 1.4.1.

> 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
>Assignee: Rekha Joshi
>Priority: Trivial
> Fix For: 1.4.1, 1.5.0
>
>
> 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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[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory under Yarn

2015-06-25 Thread Kousuke Saruta (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14601082#comment-14601082
 ] 

Kousuke Saruta commented on SPARK-5768:
---

I can't change assignee field and I don't know why.
I'll try to change again later.

> 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
> Fix For: 1.4.1, 1.5.0
>
>
> 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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[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory under Yarn

2015-06-23 Thread Apache Spark (JIRA)

[ 
https://issues.apache.org/jira/browse/SPARK-5768?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14598815#comment-14598815
 ] 

Apache Spark commented on SPARK-5768:
-

User 'rekhajoshm' has created a pull request for this issue:
https://github.com/apache/spark/pull/6972

> 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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[jira] [Commented] (SPARK-5768) Spark UI Shows incorrect memory under Yarn

2015-02-12 Thread Al M (JIRA)

[ 
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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