[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-08-22 Thread squito
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this is being continued in https://github.com/apache/spark/pull/22192


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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-08-02 Thread squito
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retest this please


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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-08-01 Thread squito
Github user squito commented on the issue:

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> Are there more specific use cases? I always feel it'd be impossible to 
design APIs without seeing couple different use cases.

With this basic api, you could just do things that tie into the JVM in 
general.  For example, you can inspect memory or get thread dumps.

We could add an event for executor shutdown, if you wanted to cleanup any 
shared resources.  I haven't had a need for this, but I think this is something 
I've heard requests for in the past.

I have another variant of this where you also get task start and end 
events.  This lets you control the monitoring a little more -- eg., I had 
something which just started polling thread dumps only if there was a task from 
stage 17 that had been taking longer than 5 seconds.  But anything task related 
is a bit trickier to decide the right api.  Shoudl the task end event also get 
the failure reason?  Should those events get called in the same thread as the 
task runner, or in another thread?  Again, DeveloperApi gives us flexibility to 
change those particulars down the road, but I didn't feel strongly about 
getting them in right now.

> Currently this isn't putting any user docs up which might make sense if 
our use case is debugging and we want to try to vet this as an alpha api. 
thoughts?

I feel like we should leave it undocumented at first, just because I worry 
about the average user not knowing what to do with it (or doing something they 
*really* shouldn't be).  But I don't feel super strongly about it.


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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-08-01 Thread tgravescs
Github user tgravescs commented on the issue:

https://github.com/apache/spark/pull/21923
  
the only other cases I have heard people ask for this are hopefully covered 
by the new barrier scheduling.  
While I agree that we need to be careful about creating APIs to properly 
think about them, I don't think we should block a useful feature on having more 
than one use case. We just need to make sure its mark properly until we are 
comfortable with it.  This is marked as DeveloperApi which should cover that.

Currently this isn't putting any user docs up which might make sense if our 
use case is debugging and we want to try to vet this as an alpha api.  thoughts?


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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-08-01 Thread felixcheung
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this https://github.com/squito/spark-memory


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 * This patch **fails from timeout after a configured wait of \`300m\`**.
 * This patch merges cleanly.
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  * `  .doc(\"Comma-separated list of class names for \"plugins\" 
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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-07-30 Thread rxin
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Are there more specific use cases? I always feel it'd be impossible to 
design APIs without seeing couple different use cases.



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[GitHub] spark issue #21923: [SPARK-24918][Core] Executor Plugin api

2018-07-30 Thread holdensmagicalunicorn
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@squito, thanks! I am a bot who has found some folks who might be able to 
help with the review:@cloud-fan, @vanzin and @rxin


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