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https://issues.apache.org/jira/browse/ACCUMULO-3602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14486019#comment-14486019
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ASF GitHub Bot commented on ACCUMULO-3602:
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Github user joshelser commented on the pull request:

    https://github.com/apache/accumulo/pull/25#issuecomment-91035731
  
    >  It seems like this change could encourage users to pass many ranges as 
configuration for the map reduce job. This could cause memory exhaustion for 
the job tracker. 
    
    Agreed, but is this a new issue? If anything, it this these changes would 
reduce the total number of objects in memory (as a split could contain multiple 
ranges whereas previously it was 1:1). I remember hearing about solutions that 
use HDFS as a mechanism for supporting large numbers of ranges instead of the 
Configuration. Either way, I think the current changes are a good addition but 
just not in scope to address the bigger issue you brought up.


> 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.



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