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Have some minor comments. Didn't get a chance to go through in detail. I think 
we can have this committed based on Kelly's feedback.

Will take a detailed look once I have some time. We can incorporate the 
feedback, if any, in a follow-up patch.


src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/relationalOperators/POForEach.java
 (line 139)
<https://reviews.apache.org/r/40743/#comment171095>

    Let's please not make any changes in core-Pig unless absolutely necessary. 
This will make merging harder. Any reason this is unavoidable ?
    
    Same for removal of getFlatStr() below.



src/org/apache/pig/backend/hadoop/executionengine/spark/SparkLauncher.java 
(line 234)
<https://reviews.apache.org/r/40743/#comment171096>

    LOG.debug



src/org/apache/pig/backend/hadoop/executionengine/spark/SparkLauncher.java 
(line 252)
<https://reviews.apache.org/r/40743/#comment171097>

    Don't remember if this needs to be earlier. Probably safer to keep this 
right after the combiner optimization.



src/org/apache/pig/backend/hadoop/executionengine/spark/converter/GlobalRearrangeConverter.java
 
<https://reviews.apache.org/r/40743/#comment171099>

    any particular reason you're moving this to it's own file ?


- Mohit Sabharwal


On Dec. 18, 2015, 6:47 a.m., Pallavi Rao wrote:
> 
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> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/40743/
> -----------------------------------------------------------
> 
> (Updated Dec. 18, 2015, 6:47 a.m.)
> 
> 
> Review request for pig, Mohit Sabharwal and Xuefu Zhang.
> 
> 
> Bugs: PIG-4709
>     https://issues.apache.org/jira/browse/PIG-4709
> 
> 
> Repository: pig-git
> 
> 
> Description
> -------
> 
> Currently, the GROUPBY operator of PIG is mapped by Spark's CoGroup. When the 
> grouped data is consumed by subsequent operations to perform algebraic 
> operations, this is sub-optimal as there is lot of shuffle traffic.
> The Spark Plan must be optimized to use reduceBy, where possible, so that a 
> combiner is used.
> 
> Introduced a combiner optimizer that does the following:
>     // Checks for algebraic operations and if they exist.
>     // Replaces global rearrange (cogroup) with reduceBy as follows:
>     // Input:
>     // foreach (using algebraicOp)
>     //   -> packager
>     //      -> globalRearrange
>     //          -> localRearrange
>     // Output:
>     // foreach (using algebraicOp.Final)
>     //   -> reduceBy (uses algebraicOp.Intermediate)
>     //      -> foreach (using algebraicOp.Initial)
>     //          -> localRearrange
> 
> 
> Diffs
> -----
> 
>   
> src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/relationalOperators/POForEach.java
>  f8c1658 
>   
> src/org/apache/pig/backend/hadoop/executionengine/physicalLayer/relationalOperators/PORollupHIIForEach.java
>  aca347d 
>   src/org/apache/pig/backend/hadoop/executionengine/spark/SparkLauncher.java 
> a4dbadd 
>   
> src/org/apache/pig/backend/hadoop/executionengine/spark/converter/GlobalRearrangeConverter.java
>  5f74992 
>   
> src/org/apache/pig/backend/hadoop/executionengine/spark/converter/LocalRearrangeConverter.java
>  9ce0492 
>   
> src/org/apache/pig/backend/hadoop/executionengine/spark/converter/PigSecondaryKeyComparatorSpark.java
>  PRE-CREATION 
>   
> src/org/apache/pig/backend/hadoop/executionengine/spark/converter/ReduceByConverter.java
>  PRE-CREATION 
>   
> src/org/apache/pig/backend/hadoop/executionengine/spark/operator/POReduceBySpark.java
>  PRE-CREATION 
>   
> src/org/apache/pig/backend/hadoop/executionengine/spark/optimizer/CombinerOptimizer.java
>  PRE-CREATION 
>   
> src/org/apache/pig/backend/hadoop/executionengine/util/CombinerOptimizerUtil.java
>  6b66ca1 
>   
> src/org/apache/pig/backend/hadoop/executionengine/util/SecondaryKeyOptimizerUtil.java
>  546d91e 
>   test/org/apache/pig/test/TestCombiner.java df44293 
> 
> Diff: https://reviews.apache.org/r/40743/diff/
> 
> 
> Testing
> -------
> 
> The patch unblocked one UT in TestCombiner. Added another UT in the same 
> class. Also did some manual testing.
> 
> 
> Thanks,
> 
> Pallavi Rao
> 
>

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