[ 
https://issues.apache.org/jira/browse/ACCUMULO-3602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14484193#comment-14484193
 ] 

ASF GitHub Bot commented on ACCUMULO-3602:
------------------------------------------

Github user keith-turner commented on a diff in the pull request:

    https://github.com/apache/accumulo/pull/25#discussion_r27926398
  
    --- Diff: 
core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/impl/InputConfigurator.java
 ---
    @@ -517,6 +517,74 @@ public static Boolean isOfflineScan(Class<?> 
implementingClass, Configuration co
       }
     
       /**
    +   * Controls the use of the {@link BatchScanner} in this job.
    +   * Using this feature will group ranges by their source tablet per 
InputSplit and use BatchScanner to read them.
    --- End diff --
    
    Could mention what options this will not work with in javadoc.  For example 
setting this will not work w/ offline scan and local iters.
    
    Could also mention the benefit of doing this.  It seems the main benefit is 
one RPC to send multiple ranges to a tserver and then read the results, versus 
an RPC per range.



> BatchScanner optimization for AccumuloInputFormat
> -------------------------------------------------
>
>                 Key: ACCUMULO-3602
>                 URL: https://issues.apache.org/jira/browse/ACCUMULO-3602
>             Project: Accumulo
>          Issue Type: Improvement
>          Components: client
>    Affects Versions: 1.6.1, 1.6.2
>            Reporter: Eugene Cheipesh
>            Assignee: Eugene Cheipesh
>              Labels: performance
>             Fix For: 1.7.0
>
>
> Currently {{AccumuloInputFormat}} produces a split for reach {{Range}} 
> specified in the configuration. Some table indexing schemes, for instance 
> z-order geospacial index, produce large number of small ranges resulting in 
> large number of splits. This is specifically a concern when using 
> {{AccumuloInputFormat}} as a source for Spark RDD where each Split is mapped 
> to an RDD partition.
> Large number of small RDD partitions leads to poor parallism on read and high 
> overhead on processing. A desirable alternative is to group ranges by tablet 
> into a single split and use {{BatchScanner}} to produce the records. Grouping 
> by tablets is useful because it represents Accumulos attempt to distributed 
> stored records and can be influance by the user through table splits.
> The grouping functionality already exists in the internal {{TabletLocator}} 
> class. 
> Current proposal is to modify {{AbstractInputFormat}} such that it generates 
> either {{RangeInputSplit}} or {{MultiRangeInputSplit}} based on a new setting 
> in {{InputConfigurator}}.  {{AccumuloInputFormat}} would then be able to 
> inspect the type of the split and instantiate an appropriate reader.
> The functinality of {{TabletLocator}} should be exposed as a public API in 
> 1.7 as it is useful for optimizations.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to