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Xiaoye Sun commented on SPARK-18731: ------------------------------------ Could you please provide a link to the solution? Large task sizes may result in huge scheduler delay in the performance metric shown on the web UI. Is there any other way to overcome this? > Task size in K-means is so large > -------------------------------- > > Key: SPARK-18731 > URL: https://issues.apache.org/jira/browse/SPARK-18731 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.6.1 > Reporter: Xiaoye Sun > Priority: Minor > Original Estimate: 5h > Remaining Estimate: 5h > > When run the KMeans algorithm for a large model (e.g. 100k features and 100 > centers), there will be warning shown for many of the stages saying that the > task size is very large. Here is an example warning. > WARN TaskSetManager: Stage 23 contains a task of very large size (56256 KB). > The maximum recommended task size is 100 KB. > This could happen at (sum at KMeansModel.scala:88), (takeSample at > KMeans.scala:378), (aggregate at KMeans.scala:404) and (collect at > KMeans.scala:436). -- 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