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Posted to dev@hive.apache.org by "Xuefu Zhang (JIRA)" <ji...@apache.org> on 2014/10/12 03:05:34 UTC

[jira] [Updated] (HIVE-8262) Create CacheTran that transforms the input RDD by caching it [Spark Branch]

     [ https://issues.apache.org/jira/browse/HIVE-8262?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xuefu Zhang updated HIVE-8262:
------------------------------
    Resolution: Won't Fix
        Status: Resolved  (was: Patch Available)

We decided that it's easier just to have a flag in some SparkTran classes instead.

> Create CacheTran that transforms the input RDD by caching it [Spark Branch]
> ---------------------------------------------------------------------------
>
>                 Key: HIVE-8262
>                 URL: https://issues.apache.org/jira/browse/HIVE-8262
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Chao
>         Attachments: HIVE-8262.1-spark.patch
>
>
> In a few cases we need to cache a RDD to avoid recompute it for better performance. However, caching a map input RDD is different from caching a regular RDD due to SPARK-3693. The way to cache a Hadoop RDD, which is the input to MapWork, is to cache, the result RDD that is transformed from the original Hadoop RDD by applying a map function, in which <key, value> pairs are copied. To cache intermediate RDDs, such as that from a shuffle, is just calling .cache().
> This task is to create a CacheTran to capture this, which can be used to plug in Spark Plan when caching is desirable. 



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