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Posted to issues@spark.apache.org by "Shuo Xiang (JIRA)" <ji...@apache.org> on 2014/06/12 03:42:01 UTC

[jira] [Created] (SPARK-2121) Not fully cached when there is enough memory

Shuo Xiang created SPARK-2121:
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             Summary: Not fully cached when there is enough memory
                 Key: SPARK-2121
                 URL: https://issues.apache.org/jira/browse/SPARK-2121
             Project: Spark
          Issue Type: Bug
          Components: Block Manager, MLlib, Spark Core
    Affects Versions: 1.0.0
            Reporter: Shuo Xiang


While factorizing a large matrix using the latest Alternating Least Squares (ALS) in mllib, from sparkUI it looks like that spark fail to cache all the partitions of some RDD while memory is sufficient. Please find [this post](http://apache-spark-user-list.1001560.n3.nabble.com/Not-fully-cached-when-there-is-enough-memory-tt7429.html) for screenshots. This may cause subsequent job failures while executing `userOut.Count()` or `productsOut.count`.



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