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https://issues.apache.org/jira/browse/SPARK-6706?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14395622#comment-14395622
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Xi Shen commented on SPARK-6706:
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I know it is more like a user report than a technical report. But I am not
familiar with Spark code, and I am currently busy with my study. I am happy to
look deep into this issue, but it may not happen very soon.
As for your question **It's not clear whether you know it is stuck or simply
still executing**. I can confirm it is still executing. I observe one of my CPU
is constantly busy a Java process, and if the *k* value is not very large, say
500, the job can finish after a long time.
> 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 hangs at some "collect" step 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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