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From "Edouard Chevalier (JIRA)" <j...@apache.org>
Subject [jira] [Created] (IGNITE-2419) Ignite on YARN do not handle memory overhead
Date Wed, 20 Jan 2016 15:07:39 GMT
Edouard Chevalier created IGNITE-2419:
-----------------------------------------

             Summary: Ignite on YARN do not handle memory overhead
                 Key: IGNITE-2419
                 URL: https://issues.apache.org/jira/browse/IGNITE-2419
             Project: Ignite
          Issue Type: Bug
          Components: hadoop
         Environment: hadoop cluster with YARN
            Reporter: Edouard Chevalier
            Priority: Critical


When deploying ignite nodes with YARN, JVM are launched with a defined amount of memory (property
IGNITE_MEMORY_PER_NODE transposed to the "-Xmx" jvm property) and YARN is told to provide
container that would require exactly that amount of memory. But YARN monitors the memory of
the overall process, not the heap: JVM can easily requires more memory than the heap (VM and/or
native overheads, threads overhead, and in the case of ignite, possibly offheap data structures).
If tasks require all of the heap, the process memory would be more far more than the heap
memory. The YARN then would consider that node should be killed (and kills it !) and create
another one. I have a scenario where tasks requires all of JVM memory and YARN is continously
allocating/deallocating containers. Global task never finishes.

My proposal is to implement a property IGNITE_OVERHEADMEMORY_PER_NODE like property spark.yarn.executor.memoryOverhead
in  spark (see : https://spark.apache.org/docs/latest/running-on-yarn.html#configuration )
. I can implement it and create a pull request in github.



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