[jira] Commented: (PIG-688) PERFORMANCE: Vectorize operators

["Jeff Zhang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/PIG-688?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12783414#action_12783414 ] 

Jeff Zhang commented on PIG-688:
--------------------------------

Thejas, do you mean to create an new MapRunnable class for Pig ?
The default MapRunnable implementation in hadoop MapRunner read records one by one, so if we want to process multiple records between operators, we need to create a new MapRunner for it.

> PERFORMANCE: Vectorize operators
> --------------------------------
>
>                 Key: PIG-688
>                 URL: https://issues.apache.org/jira/browse/PIG-688
>             Project: Pig
>          Issue Type: Improvement
>            Reporter: Thejas M Nair
>
> By Vectorization, I mean passing multiple (/vector of) records at a time between operators (and potentially other functions like udfs)
> Vectorization of pig operators can improve performance by 
> 1. improving locality and cache utilization
> 2. Reducing number of function calls. Many functions calls are likely to be dynamically resolved. There may be some checks in each function that we might be able to do once for several recs.
> 3. Potentially benefit from cpu pipeline architecture. ( But I don't know how good java VM is at that ..)
> To do vectorization in map stage, we need to use MapRunner - see PIG-687.

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