Java Native Memory Internal Section2019 Community Moderator ElectionIs 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
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Java Native Memory Internal Section
2019 Community Moderator ElectionIs 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
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
New contributor
add a comment |
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
New contributor
add a comment |
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
New contributor
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
java hadoop memory-leaks hdfs namenode
New contributor
New contributor
edited 2 days ago
Amith sha
New contributor
asked Mar 7 at 4:52
Amith shaAmith sha
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111
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New contributor
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