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Xi Shen commented on SPARK-6706: -------------------------------- 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.** -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org