[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2017-01-07 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2017-01-06 Thread witgo
Github user witgo commented on the issue:

https://github.com/apache/spark/pull/15505
  
@kayousterhout 
Okay, I'll do the code revision this weekend.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2017-01-06 Thread kayousterhout
Github user kayousterhout commented on the issue:

https://github.com/apache/spark/pull/15505
  
@witgo #16053 has been merged.  Can you update the conflicts here, and then 
we can merge this?  Also, can you update the PR description to point to 
SPARK-18890 now instead of SPARK-17931?


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-12-21 Thread SparkQA
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-12-21 Thread witgo
Github user witgo commented on the issue:

https://github.com/apache/spark/pull/15505
  
@kayousterhout @squito 
I think Kay's approach is a good idea.   
We can first merging #16053, SPARK-18890 related code(including 
multi-threaded serialization TaskDescription) to stay in the PR.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-12-21 Thread SparkQA
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-12-21 Thread kayousterhout
Github user kayousterhout commented on the issue:

https://github.com/apache/spark/pull/15505
  
I fixed the #16053 issues unless there are more you're thinking of beyond 
the ones I mentioned in the PR?

I was imagining merging this PR to fix SPARK-18890 (minus the changes that 
overlap with mine) -- that's what I did in testing!

Sent from my iPhone

> On Dec 21, 2016, at 2:47 PM, Imran Rashid  
wrote:
> 
> Looks like @kayousterhout posted some comments addressing my concerns on 
#16053 at the same time as my last set of comments. But essentially it sounds 
like Kay has done the performance measurements to verify her approach works 
now, and it looks cleaner to me.
> 
> Kay -- earlier you had said:
> 
> I'd propose first merging #16053 (I'll clean this up to include the Mesos 
changes) and then merging this PR
> 
> But if I understand correctly, you are really recommending closing this, 
and going with #16053 plus your still-to-be-shared solution to 
https://issues.apache.org/jira/browse/SPARK-18890?
> 
> @witgo do you have any concerns with that approach? Your work in 
discovering the issue and suggesting a solution are definitely appreciated, but 
I think Kay's proposal is a little cleaner. (its also fine if you think there 
is a a benefit to your proposal and would like to keep pushing it, I'd just 
like to set expectations.)
> 
> In any case, I think I will wait on doing any further review until Kay 
finishes the issues she mentioned for #16053 and shares a proposal for 
https://issues.apache.org/jira/browse/SPARK-18890 since I think they may need 
to be evaluated together to some extent, even if they end up getting merged 
independently -- lemme knwo if you think that plan doesn't make sense for any 
reason.
> 
> —
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub, or mute the thread.
> 



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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-12-21 Thread squito
Github user squito commented on the issue:

https://github.com/apache/spark/pull/15505
  
Looks like @kayousterhout posted some comments addressing my concerns on 
https://github.com/apache/spark/pull/16053 at the same time as my last set of 
comments.  But essentially it sounds like Kay has done the performance 
measurements to verify her approach works now, and it looks cleaner to me.

Kay -- earlier you had said:
> I'd propose first merging #16053 (I'll clean this up to include the Mesos 
changes) and then merging this PR

But if I understand correctly, you are really recommending closing this, 
and going with https://github.com/apache/spark/pull/16053 plus your 
still-to-be-shared solution to 
https://issues.apache.org/jira/browse/SPARK-18890?

@witgo do you have any concerns with that approach?  Your work in 
discovering the issue and suggesting a solution are definitely appreciated, but 
I think Kay's proposal is a little cleaner.  (its also fine if you think there 
is a a benefit to your proposal and would like to keep pushing it, I'd just 
like to set expectations.)

In any case, I think I will wait on doing any further review until Kay 
finishes the issues she mentioned for 
https://github.com/apache/spark/pull/16053 *and* shares a proposal for 
https://issues.apache.org/jira/browse/SPARK-18890 since I think they may need 
to be evaluated together to some extent, even if they end up getting merged 
independently -- lemme knwo if you think that plan doesn't make sense for any 
reason.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-12-19 Thread squito
Github user squito commented on the issue:

https://github.com/apache/spark/pull/15505
  
@witgo @kayousterhout where do we stand on this and 
https://github.com/apache/spark/pull/16053?  Both still viable alternatives?

https://github.com/apache/spark/pull/16053 is still missing performance 
benchmarks, and given the entire purpose here is performance, I think we need 
to wait for those metrics.

But https://github.com/apache/spark/pull/16053 is a much smaller change.  I 
actually think its a little clearer overall in this version, that serialization 
all happens in one place ... but I'm also biased to go for the smaller change 
if there isn't really much difference.

I also feel like we're missing a clear description of the overall flow of 
serialization -- its rather complicated, between the task binary broadcast, the 
task, the task description, where it all happens, etc.  (That goes for both 
versions -- really its an existing problem, this just seems like the right time 
to address it.)


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2016-12-15 Thread AmplabJenkins
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-29 Thread witgo
Github user witgo commented on the issue:

https://github.com/apache/spark/pull/15505
  
@kayousterhout I agree with you, and do as you say.
@squito These a good idea, and worth a try. We can write a prototype to 
verify it.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-29 Thread squito
Github user squito commented on the issue:

https://github.com/apache/spark/pull/15505
  
I agree with Kay that putting in a smaller change first is better, assuming 
it still has the performance gains.  That doesn't preclude any further 
optimizations that are bigger changes.

I'm a little surprised that the serializing tasks has much of an impact, 
given how little data is getting serialized.  But if it really is, I feel like 
there is a much bigger optimization we're completely missing.  Why are we 
repeating the work of serialization for each task in a taskset?  The serialized 
data is almost exactly the same for *every* task.  they only differ in the 
partition id (an int) and the preferred locations (which aren't even used by 
the executor at all).

Task serialization already leverages the idea of having info across all the 
tasks in the Broadcast for the task binary.  We just need to use that same idea 
for all the rest of the task data that is sent to the executor.  Then the only 
difference between the serialized task data sent to executors is the int for 
the partitionId.  You'd serialize into a bytebuffer once, and then your 
per-task "serialization" becomes copying the buffer and modifying that int 
directly.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-29 Thread kayousterhout
Github user kayousterhout commented on the issue:

https://github.com/apache/spark/pull/15505
  
@witgo I don't mind moving the serialization out of resourceOffer, but I do 
think it's helpful to separate that from the too-many-objects-serialized issue. 
 Smaller PRs are easier for folks to code review (and as a result, are easier 
to merge) and it also makes it clearer where any performance improvements are 
coming from (i.e., are the performance improvements from eliminating the 
serialization, or just from moving it to a separate thread? It sounds like 
perhaps the latter).  I'd propose first merging #16053 (I'll clean this up to 
include the Mesos changes) and then merging this PR (so this PR will have only 
the change to split the resourceOffer and serialization process).


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-29 Thread witgo
Github user witgo commented on the issue:

https://github.com/apache/spark/pull/15505
  
@kayousterhout 

Here are my thoughts:
move the serialization out of the `TaskSetManager.resourceOffer` method. 
Split resourceOffer and serialization process, So that we can make the 
serialization task operation multi-threaded execution.
See eb58988948341340432cf9cdde0d11842930ec57 .  It can can reduce the 
scheduling time by three times



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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-28 Thread kayousterhout
Github user kayousterhout commented on the issue:

https://github.com/apache/spark/pull/15505
  
@witgo I took a look at this and had an idea for an alternate approach that 
is much simpler.  Can you take a look at #16053 and let me know what you think?

If we decide to go with the approach I proposed, I'll leave the JIRA 
assigned to you so you're noted as fixing this in the release notes!


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-21 Thread witgo
Github user witgo commented on the issue:

https://github.com/apache/spark/pull/15505
  
ping @kayousterhout / @squito / @JoshRosen


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-11-04 Thread rxin
Github user rxin commented on the issue:

https://github.com/apache/spark/pull/15505
  
This is pretty big and will miss 2.1.

But cc @kayousterhout / @squito / @JoshRosen 


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-19 Thread SparkQA
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-18 Thread witgo
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https://github.com/apache/spark/pull/15505
  
cc @rxin


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15505
  
**[Test build #67110 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/67110/consoleFull)**
 for PR 15505 at commit 
[`ca9da40`](https://github.com/apache/spark/commit/ca9da40638ab88502c8906457e11f5bd67e283bc).
 * This patch **fails Scala style tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread AmplabJenkins
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https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15505
  
**[Test build #67110 has 
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 for PR 15505 at commit 
[`ca9da40`](https://github.com/apache/spark/commit/ca9da40638ab88502c8906457e11f5bd67e283bc).


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread AmplabJenkins
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https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread AmplabJenkins
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https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15505
  
**[Test build #67109 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/67109/consoleFull)**
 for PR 15505 at commit 
[`d956ff5`](https://github.com/apache/spark/commit/d956ff545e1947d6c55b753a5bcd68f4cf1b8645).
 * This patch **fails Scala style tests**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread witgo
Github user witgo commented on the issue:

https://github.com/apache/spark/pull/15505
  
@wzhfy 
Ok, the code has been modified


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15505
  
**[Test build #67109 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/67109/consoleFull)**
 for PR 15505 at commit 
[`d956ff5`](https://github.com/apache/spark/commit/d956ff545e1947d6c55b753a5bcd68f4cf1b8645).


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread wzhfy
Github user wzhfy commented on the issue:

https://github.com/apache/spark/pull/15505
  
There are many unnecessary changes, can you recover them to minimize diff? 
That'll be easier for others to review. :)


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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread AmplabJenkins
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https://github.com/apache/spark/pull/15505
  
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[GitHub] spark issue #15505: [SPARK-17931][CORE] taskScheduler has some unneeded seri...

2016-10-17 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/15505
  
**[Test build #67056 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/67056/consoleFull)**
 for PR 15505 at commit 
[`8a6062d`](https://github.com/apache/spark/commit/8a6062d4ac3cc33ac64f6d6ad78c416e0fc30125).
 * This patch **fails from timeout after a configured wait of \`250m\`**.
 * This patch merges cleanly.
 * This patch adds no public classes.


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