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From "Szehon Ho" <sze...@cloudera.com>
Subject Re: Review Request 28064: HIVE-8844 Choose a persisent policy for RDD caching [Spark Branch]
Date Sat, 15 Nov 2014 02:34:51 GMT

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This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/28064/#review61616
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ql/src/java/org/apache/hadoop/hive/ql/exec/spark/ShuffleTran.java
<https://reviews.apache.org/r/28064/#comment103348>

    OK, does spark handle that if we pass NONE in by doing no-op?   If that's the case, then
maybe cleaner for our code in that case.  I'm a bit confused what NONE means. 
    
    If we dont want to call NONE due to side-effects, can we just change the HadoopRDD call
to:
    
    storageHandler.equals(StorageHandler.NONE) ? hadoopRdd : ...
    
    Then the logic is centralized to there.



ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkPlanGenerator.java
<https://reviews.apache.org/r/28064/#comment103349>

    OK



ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkPlanGenerator.java
<https://reviews.apache.org/r/28064/#comment103350>

    Sounds good, but I think we can log it.


- Szehon Ho


On Nov. 15, 2014, 12:32 a.m., Jimmy Xiang wrote:
> 
> -----------------------------------------------------------
> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/28064/
> -----------------------------------------------------------
> 
> (Updated Nov. 15, 2014, 12:32 a.m.)
> 
> 
> Review request for hive and Xuefu Zhang.
> 
> 
> Bugs: HIVE-8844
>     https://issues.apache.org/jira/browse/HIVE-8844
> 
> 
> Repository: hive-git
> 
> 
> Description
> -------
> 
> Changed spark cache policy to be configurable with default memory+disk.
> 
> 
> Diffs
> -----
> 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/MapInput.java 79baea7 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/ShuffleTran.java 8565ba0 
>   ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkPlanGenerator.java 11f4236 
> 
> Diff: https://reviews.apache.org/r/28064/diff/
> 
> 
> Testing
> -------
> 
> 
> Thanks,
> 
> Jimmy Xiang
> 
>


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