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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/11/03 06:49:58 UTC

[jira] [Resolved] (SPARK-18200) GraphX Invalid initial capacity when running triangleCount

     [ https://issues.apache.org/jira/browse/SPARK-18200?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Reynold Xin resolved SPARK-18200.
---------------------------------
       Resolution: Fixed
         Assignee: Dongjoon Hyun
    Fix Version/s: 2.1.0
                   2.0.3

> GraphX Invalid initial capacity when running triangleCount
> ----------------------------------------------------------
>
>                 Key: SPARK-18200
>                 URL: https://issues.apache.org/jira/browse/SPARK-18200
>             Project: Spark
>          Issue Type: Bug
>          Components: GraphX
>    Affects Versions: 2.0.0, 2.0.1, 2.0.2
>         Environment: Databricks, Ubuntu 16.04, macOS Sierra
>            Reporter: Denny Lee
>            Assignee: Dongjoon Hyun
>              Labels: graph, graphx
>             Fix For: 2.0.3, 2.1.0
>
>
> Running GraphX triangle count on large-ish file results in the "Invalid initial capacity" error when running on Spark 2.0 (tested on Spark 2.0, 2.0.1, and 2.0.2).  You can see the results at: http://bit.ly/2eQKWDN
> Running the same code on Spark 1.6 and the query completes without any problems: http://bit.ly/2fATO1M
> As well, running the GraphFrames version of this code runs as well (Spark 2.0, GraphFrames 0.2): http://bit.ly/2fAS8W8
> Reference Stackoverflow question:
> Spark GraphX: requirement failed: Invalid initial capacity (http://stackoverflow.com/questions/40337366/spark-graphx-requirement-failed-invalid-initial-capacity)



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