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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