[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-17 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 hi @jerryshao good points. First, we should probably move this discussion to jira so its more visible -- feel free to open two issues for these if you want, or first discuss on dev@. (Sorry its my

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-13 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 @squito , by revising this code, I found there're some places which are misleading and could be improved: * All the memory usage referred here about on-heap memory and off-heap memory

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-06 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 I see. The current code leverages `SparkListenerBlockUpdated` event to calculate memory usage, let me try to investigate the feasibility of using `taskEnd.taskMetrics.updatedBlocks`, to see if it

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-06 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 yeah, we definitely don't want to start logging more events. But it seems like this info is already available -- taskEnd.taskMetrics.updatedBlocks already has everything, doesn't it? --- If your

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-06 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Thanks @squito . Regarding showing memory usage in history server. My major concern is that putting so many block update event into event log will significantly increase the file size

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-06 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 btw, anybody interested in looking at getting the memory to show up in the history server as well? this issue we were discussing earlier: >> AFAIK we don't record block update events in

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-04-06 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 merged to master. Thanks @jerryshao --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature

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2017-04-05 Thread jsoltren
Github user jsoltren commented on the issue: https://github.com/apache/spark/pull/14617 This looks good to me. Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled

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2017-04-05 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 lgtm, thanks for the updates any more comments @tgravescs @CodingCat @ajbozarth @jsoltren? --- If your project is set up for it, you can reply to this email and have your reply appear on

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2017-04-05 Thread SparkQA
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2017-04-05 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Thanks @squito , thanks so much for your review, just address the comments you mentioned. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub

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2017-04-01 Thread SparkQA
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2017-03-31 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 > AFAIK we don't record block update events in history server, so we could not calculate the used memory from event log. good point, sorry I had totally forgotten about. Seems like this

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-31 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 @squito , AFAIK we don't record block update events in history server. So we could not calculate the used memory from event log. --- If your project is set up for it, you can reply to this email

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2017-03-30 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 @jerryshao sorry to be very particular about this, but can you add a test case where the off heap and onheap memory *used* is non-zero? It looks like you only changed the max memory. (You should

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-29 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Hi @squito , would you please review the code again? Thanks a lot. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project

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2017-03-27 Thread jerryshao
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2017-03-26 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Thanks @squito , I will change some event logs files to test non zero the off heap memory. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub

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2017-03-21 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Hi All, thanks a lot for your comments. Here is the UI after changed: ![screen shot 2017-03-22 at 11 10 22

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2017-03-21 Thread SparkQA
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2017-03-21 Thread ajbozarth
Github user ajbozarth commented on the issue: https://github.com/apache/spark/pull/14617 After reading through the previous comments I agree adding checkboxes to this page is a good idea, I would even suggest that we look at making checkboxes for a few of the current columns (default

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2017-03-21 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 thanks @jerryshao . Two other points: 1. We should have the same treatment in the executor summary table 2. as tom mentioned, there is also the storage page. you can do that separately

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2017-03-21 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14617 Checkbox sounds good to me. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and

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2017-03-20 Thread CodingCat
Github user CodingCat commented on the issue: https://github.com/apache/spark/pull/14617 I agree with the checkpoint based solution , thanks for asking --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does

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2017-03-20 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Thanks @tgravescs and @squito for your comments. Based on @tgravescs 's point, looks like making them as a table column is more valid. So I will revert back to use column and combine

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2017-03-20 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 good points @tgravescs . What about making them additional metrics, turned on by a checkbox, like the extra task metrics? --- If your project is set up for it, you can reply to this email and have

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2017-03-20 Thread tgravescs
Github user tgravescs commented on the issue: https://github.com/apache/spark/pull/14617 while I kind of like the hover because it doesn't clutter the page, it does bring up a couple concerns: - user can't sort by them - user might not know to hover (none of the other pages

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2017-03-20 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 Looks like the failures are real (you probably just need to regenerate the expectations for the new blacklisting tests) --- If your project is set up for it, you can reply to this email and have

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-20 Thread SparkQA
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-20 Thread AmplabJenkins
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-20 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Change the UI according to @CodingCat 's comment. ![screen shot 2017-03-20 at 7 48 27

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-20 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/14617 **[Test build #74884 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/74884/testReport)** for PR 14617 at commit

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-19 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 That's a good idea, thanks @CodingCat . --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-19 Thread CodingCat
Github user CodingCat commented on the issue: https://github.com/apache/spark/pull/14617 ah...somehow I missed this email. I like this idea, the comments here would be that `if the last screenshot is the latest design, will the user have to sum up the total amount of used

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-19 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Thanks @squito , finally get someone's attention :). I will update the code soon. Before this change off-heap on on-heap memory are added together

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2017-03-17 Thread squito
Github user squito commented on the issue: https://github.com/apache/spark/pull/14617 hi @jerryshao sorry this went unnoticed for so long, if you bring this up to date I'll keep an eye on it. Before this change, is off-heap storage completely ignored in the UI? Or does the

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread AmplabJenkins
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread AmplabJenkins
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2016-08-25 Thread SparkQA
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread SparkQA
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 Jenkins, retest this please. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread mallman
Github user mallman commented on the issue: https://github.com/apache/spark/pull/14617 @jerryshao The UI changes look great. I have not had a chance to scrutinize the source changes. Hopefully we can get someone else to help review. --- If your project is set up for it, you can

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread AmplabJenkins
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread SparkQA
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[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread SparkQA
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/14617 **[Test build #64406 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/64406/consoleFull)** for PR 14617 at commit

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-25 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 @mallman I changed the UI based on your comment, here is the new one (separate the on heap and off heap memory usage in two columns): ![screen shot 2016-08-25 at 3 28 31

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-23 Thread jerryshao
Github user jerryshao commented on the issue: https://github.com/apache/spark/pull/14617 @mallman thanks a lot for your comments, I will change the UI to split into separate columns. Yes, as you mentioned current executor memory usage tracked in Standalone Master only shows

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-23 Thread mallman
Github user mallman commented on the issue: https://github.com/apache/spark/pull/14617 Hi @jerryshao. I think this is a great idea and fills in an important gap in the app's UI. Going by the screenshot you posted, instead of putting both on and off heap memory in a single column, how

[GitHub] spark issue #14617: [SPARK-17019][Core] Expose on-heap and off-heap memory u...

2016-08-12 Thread SparkQA
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2016-08-11 Thread SparkQA
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