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From Antony Mayi <>
Subject java.lang.OutOfMemoryError: GC overhead limit exceeded
Date Tue, 27 Jan 2015 20:43:38 GMT
I am using spark.yarn.executor.memoryOverhead=8192 yet getting executors crashed with this
does that mean I have genuinely not enough RAM or is this matter of config tuning?
other config options
running spark 1.2.0 as yarn-client on cluster of 10 nodes (the workload is ALS trainImplicit
on ~15GB dataset)
thanks for any ideas,Antony.
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