[ 
https://issues.apache.org/jira/browse/TINKERPOP-1870?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16326346#comment-16326346
 ] 

ASF GitHub Bot commented on TINKERPOP-1870:
-------------------------------------------

GitHub user artem-aliev opened a pull request:

    https://github.com/apache/tinkerpop/pull/778

    TINKERPOP-1870: Extends TraverserSet to have Vertex index for remote …

    …traversers
    
    That replaces linear search in reversal traversal interator with hashtable 
lookup.

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/artem-aliev/tinkerpop TINKERPOP-1870

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/tinkerpop/pull/778.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #778
    
----
commit f1dd251174dd1f04b6ed722b1956d5c3291a842a
Author: artemaliev <artem.aliev@...>
Date:   2018-01-15T15:23:49Z

    TINKERPOP-1870: Extends TraverserSet to have Vertex index for remote 
traversers
    That replaces linear search in reversal traversal interator with hashtable 
lookup.

----


> n^2 synchronious operation in OLAP WorkerExecutor.execute() method
> ------------------------------------------------------------------
>
>                 Key: TINKERPOP-1870
>                 URL: https://issues.apache.org/jira/browse/TINKERPOP-1870
>             Project: TinkerPop
>          Issue Type: Improvement
>            Reporter: Artem Aliev
>            Priority: Major
>
> [https://github.com/apache/tinkerpop/blob/master/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/computer/traversal/WorkerExecutor.java#L80-L93]
> This block of code iterates over all remote traverses to select one related 
> to the current vertex and remove it. This operation is repeated for the next 
> vertex and so one. For following example query it means n^2 operations (n is 
> number of vertices). All of them in sync block. multi core spark executor 
> will do this operations serial. 
> {code}
> g.V().emit().repeat(both().dedup()).count().next()
> {code}
> See jvisualvm screenshot. 



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to