Play 2.5 JVM options (-J-Xms4048m -J-Xmx4048m -J-server) are ignored on production

Michal Zubkowicz

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Jul 5, 2016, 7:26:16 AM7/5/16

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On our production system Java Options like -J-Xms4048m -J-Xmx4048m -J-server are ignored and application after some time grows up to 6GB of ram.
There is a bug or something I'm doing wrong here?

Michal Zubkowicz

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Jul 5, 2016, 9:07:38 AM7/5/16

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Maybe it's not a case of heap size? Heap size 4gb, but Play Application can still use more.

Heap Configuration:
   MinHeapFreeRatio         = 0
   MaxHeapFreeRatio         = 100
   MaxHeapSize              = 4244635648 (4048.0MB)
   NewSize                  = 1414529024 (1349.0MB)
   MaxNewSize               = 1414529024 (1349.0MB)
   OldSize                  = 2830106624 (2699.0MB)
   NewRatio                 = 2
   SurvivorRatio            = 8
   MetaspaceSize            = 21807104 (20.796875MB)
   CompressedClassSpaceSize = 1073741824 (1024.0MB)
   MaxMetaspaceSize         = 17592186044415 MB
   G1HeapRegionSize         = 0 (0.0MB)

Heap Usage:
PS Young Generation
Eden Space:
   capacity = 552075264 (526.5MB)
   used     = 166902448 (159.1705780029297MB)
   free     = 385172816 (367.3294219970703MB)
   30.231828680518458% used
From Space:
   capacity = 438304768 (418.0MB)
   used     = 0 (0.0MB)
   free     = 438304768 (418.0MB)
   0.0% used
To Space:
   capacity = 424148992 (404.5MB)
   used     = 0 (0.0MB)
   free     = 424148992 (404.5MB)
   0.0% used
PS Old Generation
   capacity = 2830106624 (2699.0MB)
   used     = 2829590112 (2698.5074157714844MB)
   free     = 516512 (0.492584228515625MB)
   99.9817493801958% used

Will Sargent

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Jul 5, 2016, 12:20:50 PM7/5/16

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You should use a profiler on your system to see what's chewing up memory like that. Play can run with very small heaps, as it's stateless and so mostly has young objects. In your case, you have PS Old Generation taking up 99% of space, so you have a memory leak somewhere.

Will.

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Michal Zubkowicz

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Jul 5, 2016, 12:50:18 PM7/5/16

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Thanks for suggestion.

Michal Zubkowicz

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Jul 6, 2016, 8:15:54 AM7/6/16

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It was wrong usage of Akka Scheduler, we had 40 000 instances of same class.

W dniu wtorek, 5 lipca 2016 18:20:50 UTC+2 użytkownik Will Sargent napisał:

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