Github user HuJiayin commented on the pull request: https://github.com/apache/spark/pull/8526#issuecomment-136241091 The fix reduces around 50G RDD based on data size below. The performance is improved. The user needs more than 8G memory to run the kmeans in Spark1.5 based on this data size. The data size: Number of cluster: 5 Sample dimensions: 20 Number of samples: 1200000000 Sample per input file: 40000000 K: 10 Converge distance: 0.5 Max iteration: 10
--- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org