[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-22 Thread ueshin
Github user ueshin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43959321
  
Ok, close this. Thanks!


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-22 Thread ueshin
Github user ueshin closed the pull request at:

https://github.com/apache/spark/pull/825


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-22 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43951637
  
Probably makes sense to close this one now. Thanks!



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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-21 Thread ueshin
Github user ueshin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43842591
  
@rxin Thanks a lot!
Well, should I close this PR?


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-21 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43824842
  
Done & merged #836.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-21 Thread ueshin
Github user ueshin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43742049
  
@rxin BTW, speaking of performance, could you please review the code #836?
I think this is a kind of blocker issue of join strategy.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-21 Thread ueshin
Github user ueshin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43741634
  
@rxin Ah, you mean that we should add right/full outer join support in 
addition to #734?
I agree with the unfavorable performance of the nested loop join, so we 
should wait for being merged and then add the right/full outer join support at 
another issue.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-21 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43727197
  
We can easily add right outer join support to the hash join though. In 
general, the nested loop join performs very unfavorably compared with a hash 
join implementation. 


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-20 Thread ueshin
Github user ueshin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43599450
  
@rxin Thank you for your comment.
I checked the code #734, not deeply yet, though.
It seems like broadcast hash join is used only for `Inner` join so 
broadcast nested loop join will not be replaced.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43585497
  
Would be great if you can review that code, @ueshin.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43585484
  
Thanks for submitting this. I actually think this thing is going away to be 
replaced by broadcast hash join. https://github.com/apache/spark/pull/734

Maybe we should wait for that to be merged? Otherwise a lot of unnecessary 
conflicts.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43482897
  
All automated tests passed.
Refer to this link for build results: 
https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/15079/


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43482896
  
Merged build finished. All automated tests passed.


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43476605
  
 Merged build triggered. 


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/825#issuecomment-43476612
  
Merged build started. 


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[GitHub] spark pull request: [SPARK-1880] [SQL] Eliminate unnecessary job e...

2014-05-19 Thread ueshin
GitHub user ueshin opened a pull request:

https://github.com/apache/spark/pull/825

[SPARK-1880] [SQL] Eliminate unnecessary job executions.

There are unnecessary job executions in `BroadcastNestedLoopJoin`.

When `Innner` or `LeftOuter` join, preparation of `rightOuterMatches` for 
`RightOuter` or `FullOuter` join is not neccessary.
And when `RightOuter` or `FullOuter`, it should use not `count` and then 
`reduce` but `fold`.


You can merge this pull request into a Git repository by running:

$ git pull https://github.com/ueshin/apache-spark issues/SPARK-1880

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/spark/pull/825.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

This closes #825


commit 7bff4d978fa0cb64ef6d4e935aaa8c394a6fa4ae
Author: Takuya UESHIN 
Date:   2014-05-19T07:47:39Z

Move preparing of rightOuterMatches to after checking joinType not to 
execute unnecessary job when joinType is Inner or LeftOuter.

commit 63cacbfd41090185de64c27586cacc5265c3c0d7
Author: Takuya UESHIN 
Date:   2014-05-19T07:52:33Z

Use fold instead of count and then reduce to eliminate unnecessary job 
executions.




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