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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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