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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] [Resolved] (SPARK-6706) kmeans|| hangs for a long time if both k and vector dimension are large
Date Sun, 05 Apr 2015 09:26:34 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6706?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen resolved SPARK-6706.
------------------------------
    Resolution: Duplicate

> kmeans|| hangs for a long time if both k and vector dimension are large
> -----------------------------------------------------------------------
>
>                 Key: SPARK-6706
>                 URL: https://issues.apache.org/jira/browse/SPARK-6706
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib
>    Affects Versions: 1.2.1, 1.3.0
>         Environment: Windows 64bit, Linux 64bit
>            Reporter: Xi Shen
>            Assignee: Xiangrui Meng
>              Labels: performance
>         Attachments: kmeans-debug.7z
>
>
> When doing k-means cluster with the "kmeans||" algorithm which is the default one. The
algorithm finished some {{collect()}} jobs, then the *driver* hangs for a long time.
> Settings:
> - k above 100
> - feature dimension about 360
> - total data size is about 100 MB
> The issue was first noticed with Spark 1.2.1. I tested with both local and cluster mode.
On Spark 1.3.0. I, I can also reproduce this issue with local mode. **However, I do not have
a 1.3.0 cluster environment for me to test.**



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