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Java Native Memory Internal Section


Is Java “pass-by-reference” or “pass-by-value”?How do I efficiently iterate over each entry in a Java Map?Does a finally block always get executed in Java?What is the difference between public, protected, package-private and private in Java?How do I read / convert an InputStream into a String in Java?When to use LinkedList over ArrayList in Java?How do I generate random integers within a specific range in Java?How do I convert a String to an int in Java?Creating a memory leak with JavaJava memory leak in native internal area













2















Running a Hadoop namenode proc on JDK 1.8.0.92 with Xmx and Xmx = 75Gb we observed a spike in system memory within x interval. And slowly an OOM happened.



During the debugging process we found the following:



RSS went higher than Xmx



Is that heap - no it's not heap (could see the usage in JMX which is under control)



Is that non-heap or leak - From heap dump and jmap -histo no leak observed.



Then what? Enabled NMT on namenode proc env.



Then what?
Could see the growth is happening on the Internal Section of Native Memory
And the pattern is as follows - when it reaches high count on Thread no's, the committed memory went high and it grows incrementally.



Fixes:
Tried -XX: MaxDirectMemorySize=3g (No changes still it's breaching the limit)
Tried -Djdk.nio.maxCachedBufferSize (Tried with jdk1.8.0.192 with enabling this option still leak observed)
MALLOC_ARENA_MAX - By default this is set to 4 on Hadoop-configs.sh tried with 1 and 2 still leak is happening.



Questions



How to control the internal native memory section?



How to list the cause of this issue and usage of this internal section?



How to figure out the Malloc value in JVM?










share|improve this question




























    2















    Running a Hadoop namenode proc on JDK 1.8.0.92 with Xmx and Xmx = 75Gb we observed a spike in system memory within x interval. And slowly an OOM happened.



    During the debugging process we found the following:



    RSS went higher than Xmx



    Is that heap - no it's not heap (could see the usage in JMX which is under control)



    Is that non-heap or leak - From heap dump and jmap -histo no leak observed.



    Then what? Enabled NMT on namenode proc env.



    Then what?
    Could see the growth is happening on the Internal Section of Native Memory
    And the pattern is as follows - when it reaches high count on Thread no's, the committed memory went high and it grows incrementally.



    Fixes:
    Tried -XX: MaxDirectMemorySize=3g (No changes still it's breaching the limit)
    Tried -Djdk.nio.maxCachedBufferSize (Tried with jdk1.8.0.192 with enabling this option still leak observed)
    MALLOC_ARENA_MAX - By default this is set to 4 on Hadoop-configs.sh tried with 1 and 2 still leak is happening.



    Questions



    How to control the internal native memory section?



    How to list the cause of this issue and usage of this internal section?



    How to figure out the Malloc value in JVM?










    share|improve this question


























      2












      2








      2








      Running a Hadoop namenode proc on JDK 1.8.0.92 with Xmx and Xmx = 75Gb we observed a spike in system memory within x interval. And slowly an OOM happened.



      During the debugging process we found the following:



      RSS went higher than Xmx



      Is that heap - no it's not heap (could see the usage in JMX which is under control)



      Is that non-heap or leak - From heap dump and jmap -histo no leak observed.



      Then what? Enabled NMT on namenode proc env.



      Then what?
      Could see the growth is happening on the Internal Section of Native Memory
      And the pattern is as follows - when it reaches high count on Thread no's, the committed memory went high and it grows incrementally.



      Fixes:
      Tried -XX: MaxDirectMemorySize=3g (No changes still it's breaching the limit)
      Tried -Djdk.nio.maxCachedBufferSize (Tried with jdk1.8.0.192 with enabling this option still leak observed)
      MALLOC_ARENA_MAX - By default this is set to 4 on Hadoop-configs.sh tried with 1 and 2 still leak is happening.



      Questions



      How to control the internal native memory section?



      How to list the cause of this issue and usage of this internal section?



      How to figure out the Malloc value in JVM?










      share|improve this question
















      Running a Hadoop namenode proc on JDK 1.8.0.92 with Xmx and Xmx = 75Gb we observed a spike in system memory within x interval. And slowly an OOM happened.



      During the debugging process we found the following:



      RSS went higher than Xmx



      Is that heap - no it's not heap (could see the usage in JMX which is under control)



      Is that non-heap or leak - From heap dump and jmap -histo no leak observed.



      Then what? Enabled NMT on namenode proc env.



      Then what?
      Could see the growth is happening on the Internal Section of Native Memory
      And the pattern is as follows - when it reaches high count on Thread no's, the committed memory went high and it grows incrementally.



      Fixes:
      Tried -XX: MaxDirectMemorySize=3g (No changes still it's breaching the limit)
      Tried -Djdk.nio.maxCachedBufferSize (Tried with jdk1.8.0.192 with enabling this option still leak observed)
      MALLOC_ARENA_MAX - By default this is set to 4 on Hadoop-configs.sh tried with 1 and 2 still leak is happening.



      Questions



      How to control the internal native memory section?



      How to list the cause of this issue and usage of this internal section?



      How to figure out the Malloc value in JVM?







      java hadoop memory-leaks hdfs namenode






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 8 at 14:13







      Amith sha

















      asked Mar 7 at 4:52









      Amith shaAmith sha

      111




      111






















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