The document provides an extensive overview of Java Virtual Machine (JVM) performance tuning, detailing concepts such as HotSpot compiler, threading models, and garbage collection. It emphasizes the importance of profiling, tuning parameters, and various garbage collection strategies to optimize performance. Additionally, it discusses the differences between server and client VM options, memory model tuning, and the implication of thread management in JVM performance metrics.

1. JavaStudy Network Daehyub Cho JVM [Java Virtual Machine] Performance Tuning

2. AGENDA Basic concept of JVM Tuning 1 Hotspot compiler 2 Threading Model 3 Memory Model 4

3. Basic Concept of JVM Tuning Basic concept of JVM Tuning

4. Basic of performance tuning Decide what performance level is “good enough” Test & measurement Scenario based Stress Tool (Load Runner) Profiling Tool (J probe, etc) Profile application to find bottlenecks Tuning Application * Middleware [WAS] OS JVM Return to Step 2 [feedback]

5. JVM Tuning Improve performance about 10~20% Find appropriate parameter for your application Hotspot compile option Thread model option * GC and memory related option ** Changing parameter is very dangerous action Need more test and feed back Ref spec.org

6. Hotspot Compiler Hotspot compiler

7. JVM Layout Hotspot from JDK 1.3 VM Client Compiler Server Compiler Runtime GC Interpreter Threading & Locking … . JVM Hotspot Compiler

8. Hotspot compiler JIT (Just-In-Time Compiler) Compile byte code to native code Compile as rules of optimization (Not thinking) At execution/installation Compile byte code to native code Hotspot Compile byte code to native code ‘ Thinking’ to trying find where optimization can take place Adaptive Optimizing in runtime

9. Hotspot Detection Hotspot detection Method Inlining Dynamic Deoptimization

10. Hotspot Detection and Method Inlining Literal constants are folded String concatenation is sometimes folded Constant fields are inlined int foo = 9* 10;  int foo = 90; String foo = “Hello “ + (9*10);  String foo = “Hello 90”; public class A{ public static final VALUE=99; } public class B{ static int VALUE2=A.VALUE; } public class B{ static int VALUE2=99; }  When after compiling class B

11. Hotspot detection / Method Inlining Dead code branches are eliminated public class A{ static final boolean DEBUG = false; public void methodA() if(DEBUG) System.out.println(“DEBUG MODE); System.out.println(“Say Hello”); }// method A }// class A ↓ public class A{ static final boolean DEBUG = false; public void methodA() System.out.println(“Say Hello”); }// method A }// class A

12. Hotspot Client compiler Java Option : -client Focused on Simple & Fast start up 3 Phase compiler HIR (High Level Intermediate Representation) LIR (Low Level Intermediate Representation) Machine code It focuses on local code quality and does very few global optimizations since those are often the most expensive in terms of compile time It has for inlining any function that has no exception handlers or synchronization and also supports deoptimization for debugging and inlining

13. Hotspot Server compiler Java Option : -server Focused on optimization SSA (Static Single Assignment)-based IR

14. Hotspot compiler Option Hotspot compile option -XX:MaxInlineSize=<size> Integer specifying maximum number of bytecode instructions in a method which gets inlined. -XX:FreqInlineSize=<size> Integer specifying maximum number of bytecode instructions in a frequently executed method which gets inlined. -Xint Interpreter only (no JIT compilation) -XX:+PrintCompilation

15. Threading Threading model

16. Threading Model Thread Model Java is multi threaded programming language Native thread model from JDK 1.2 Thread mapping (M:N and 1:1) Thread synchronization Java Application Java Thread Operating System Thread Handling Thread Scheduling Lock Mgmt (synchronization) JVM

17. Solaris M:N Thread Model Java Application Java Thread JVM Solaris OS OS Kernel Solaris Thread LWP Kernel Thread

18. Solaris M:N Thread Model Solaris M:N Thread Model Thread based synchronization LWP based synchronization Default -XX:-UseLWPSynchronization JDK1.4 -XX:+UseLWPSynchronization Default JDK1.3 Default N/A JDK1.2 LWP based sync Thread based sync

19. Solaris 1:1 Thread Model Java Application Java Thread JVM Solaris OS OS Kernel Solaris Thread LWP Kernel Thread

20. Solaris 1:1 Thread Model Solaris 1:1 Thread Model Bound thread Alternate Libthread ※ In Solaris 9, alternate lib thread is default, do not add /usr/lib/lwp to LD_LIBRARY_PATH export LD_LIBRARY_PATH=/usr/lib/lwp -XX:+UseBoundThreads JDK1.4 export LD_LIBRARY_PATH=/usr/lib/lwp -XX:+UseBoundThreads JDK1.3 export LD_LIBRARY_PATH=/usr/lib/lwp N/A JDK1.2 Alternate Libthread* Bound Thread

21. JVM Performance Test on Solaris < Solaris 8 with JVM 1.3 > See next page graph!! Architecture Cpus Threads Model %diff in throughput (against Standard Model) Sparc 30 400/2000 Standard --- Sparc 30 400/2000 LWP Synchronization 215%/800% Sparc 30 400/2000 Bound Threads -10%/-80% Sparc 30 400/2000 Alternate One-to-one 275%/900% Sparc 4 400/2000 Standard --- Sparc 4 400/2000 LWP Synchronization 30%/60% Sparc 4 400/2000 Bound Threads -5%/-45% Sparc 4 400/2000 Alternate One-to-one 30%/50% Sparc 2 400/2000 Standard --- Sparc 2 400/2000 LWP Synchronization 0%/25% Sparc 2 400/2000 Bound Threads -30%/-40% Sparc 2 400/2000 Alternate One-to-one -10%/0% Intel 4 400/2000 Standard --- Intel 4 400/2000 LWP Synchronization 25%/60% Intel 4 400/2000 Bound Threads 0%/-10% Intel 4 400/2000 Alternate One-to-one 20%/60% Intel 2 400/2000 Standard --- Intel 2 400/2000 LWP Synchronization 15%/45% Intel 2 400/2000 Bound Threads -10%/-15% Intel 2 400/2000 Alternate One-to-one 15%/35%

22. JVM Performance Test on Solaris Performance Test Result Graph

23. Memory Tuning Memory Model

24. Memory Tuning Garbage Collection JVM Memory Layout Garbage Collection Model Server VM and Client VM Garbage Collection Measurement & Analysis Tuning Garbage Collection

25. Generational Garbage Collection

26. JVM Memory Layout New/Young – Recently created object Old – Long lived object Perm – JVM classes and methods Eden Old Perm New/Young Old Used in Application JVM Total Heap Size SS1 SS2

27. Garbage Collection Garbage Collection Collecting unused java object Cleaning memory Minor GC Collection memory in New/Young generation Major GC (Full GC) Collection memory in Old generation

28. Minor GC Minor Collection New/Young Generation Copy and Scavenge Very Fast

29. Minor GC Eden SS1 SS1 Copy live objects to Survivor area New Object Garbage Lived Object 1 st Minor GC Old Old Old

30. Minor GC 2 nd Minor GC Old Old Old New Object Garbage Lived Object

31. Minor GC OLD 3 rd Minor GC Objects moved old space when they become tenured New Object Garbage Lived Object

32. Major GC Major Collection Old Generation Mark and compact Slow 1 st – goes through the entire heap , marking unreachable objects 2 nd – unreachable objects are compacted

33. Major GC Eden SS1 SS2 Eden SS1 SS2 Mark the objects to be removed Eden SS1 SS2 Compact the objects to be removed

34. Server option versus Client option -X:NewRatio=2 (1.3) , -Xmn128m(1.4), -XX:NewSize=<size> -XX:MaxNewSize=<size>

35. GC Tuning Parameter Memory Tuning Parameter Perm Size : -XX:MaxPermSize=64m Total Heap Size : -ms512m –mx 512m New Size -XX:NewRatio=2  Old/New Size -XX:NewSize=128m -Xmn128m (JDK 1.4) Survivor Size : -XX:SurvivorRatio=64 (eden/survivor) Heap Ratio -XX:MaxHeapFreeRatio=70 -XX:MinHeapFreeRatio=40 Suvivor Ratio -XX:TargetSurvivorRatio=50

36. Support for –XX Option Options that begin with -X are nonstandard (not guaranteed to be supported on all VM implementations), and are subject to change without notice in subsequent releases of the Java 2 SDK. Because the -XX options have specific system requirements for correct operation and may require privileged access to system configuration parameters, they are not recommended for casual use. These options are also subject to change without notice .

37. Garbage Collection Model New type of GC Default Collector Parallel GC for young generation - JDK 1.4 Concurrent GC for old generation - JDK 1.4 Incremental Low Pause Collector (Train GC)

38. Parallel GC Parallel GC Improve performance of GC For young generation (Minor GC) More than 4CPU and 256MB Physical memory required threads time gc threads Default GC Parallel GC Young Generation

39. Parallel GC Two Parallel Collectors Low-pause : -XX:+UseParNewGC Near real-time or pause dependent application Works with Mark and compact collector Concurrent old area collector Throughput : -XX:+UseParallelGC Enterprise or throughput oriented application Works only with the mark and compact collector

40. Parallel GC Throughput Collector – XX:+UseParallelGC -XX:ParallelGCThreads=<desired number> -XX:+UseAdaptiveSizePolicy Adaptive resizing of the young generation

41. Parallel GC Throughput Collector AggressiveHeap Enabled By-XX:+AggresiveHeap Inspect machine resources and attempts to set various parameters to be optimal for long-running,memory-intensive jobs Useful in more than 4 CPU machine, more than 256M Useful in Server Application Do not use with –ms and –mx Example) HP Itanium 1.4.2 java -XX:+ServerApp -XX:+AggresiveHeap -Xmn3400m -spec.jbb.JBBmain -propfile Test1

42. Concurrent GC Concurrent GC Reduce pause time to collect Old Generation For old generation (Full GC) Enabled by - XX:+UseConcMarkSweepGC threads time gc threads Default GC Concurrent GC Old Generation

43. Incremental GC Incremental GC Enabled by –XIncgc (from JDK 1.3) Collect Old generation whenever collect young generation Reduce pause time for collect old generation Disadvantage More frequently young generation GC has occurred. More resource is needed Do not use with –XX:+UseParallelGC and –XX:+UseParNewGC

44. Incremental GC Incremental GC Minor GC After many time of Minor GC Full GC Minor GC Minor GC Old Generation is collected in Minor GC Default GC Incremental GC Young Generation Old Generation

45. Incremental GC Incremental GC -client –XX:+PrintGCDetails -Xincgc –ms32m –mx32m [GC [DefNew: 540K->35K(576K), 0.0053557 secs][Train: 3495K->3493K(32128K), 0.0043531 secs] 4036K->3529K(32704K), 0.0099856 secs] [GC [DefNew: 547K->64K(576K), 0.0048216 secs][Train: 3529K->3540K(32128K), 0.0058683 secs] 4041K->3604K(32704K), 0.0109779 secs] [GC [DefNew: 575K->64K(576K), 0.0164904 secs] 4116K->3670K(32704K), 0.0169019 secs] [GC [DefNew: 576K->64K(576K), 0.0057541 secs][Train: 3671K->3651K(32128K), 0.0051286 secs] 4182K->3715K(32704K), 0.0113042 secs] [GC [DefNew: 575K->56K(576K), 0.0114559 secs] 4227K->3745K(32704K), 0.0191390 secs] [ Full GC [Train MSC: 3689K->3280K(32128K), 0.0909523 secs] 4038K->3378K(32704K), 0.0910213 secs ] [GC [ DefNew: 502K->64K(576K), 0.0173220 secs ][Train: 3329K->3329K(32128K), 0.0066279 secs] 3782K->3393K(32704K), 0.0325125 secs Young Generation GC Old Generation GC in Minor GC Time Minor GC Full GC Sun JVM 1.4.1 in Windows OS

46. Best Pause Concurrent GC Best Throughput Parallel GC Better Pause Incremental GC(Train) Better throughput Mark-compact

47. Garbage Collection Measurement -verbosegc (All Platform) -XX:+PrintGCDetails ( JDK 1.4) -Xverbosegc (HP)

48. Garbage Collection Measurement -verbosegc [GC 40549K->20909K(64768K), 0.0484179 secs] [GC 41197K->21405K(64768K), 0.0411095 secs] [GC 41693K->22995K(64768K), 0.0846190 secs] [GC 43283K->23672K(64768K), 0.0492838 secs] [Full GC 43960K->1749K(64768K), 0.1452965 secs] [GC 22037K->2810K(64768K), 0.0310949 secs] [GC 23098K->3657K(64768K), 0.0469624 secs] [GC 23945K->4847K(64768K), 0.0580108 secs] Full GC Total Heap Size GC Time Heap size after GC Heap size before GC

49. GC Log analysis using AWK script Awk script BEGIN{ printf(&quot;Minor\tMajor\tAlive\tFree\n&quot;); } { if( substr($0,1,4) == &quot;[GC &quot;){ split($0,array,&quot; &quot;); printf(&quot;%s\t0.0\t&quot;,array[3]) split(array[2],barray,&quot;K&quot;) before=barray[1] after=substr(barray[2],3) reclaim=before-after printf(&quot;%s\t%s\n&quot;,after,reclaim) } if( substr($0,1,9) == &quot;[Full GC &quot;){ split($0,array,&quot; &quot;); printf(&quot;0.0\t%s\t&quot;,array[4]) split(array[3],barray,&quot;K&quot;) before = barray[1] after = substr(barray[2],3) reclaim = before - after printf(&quot;%s\t%s\n&quot;,after,reclaim) } next; } % awk –f gc.awk gc.log ※ Usage gc.awk Minor Major Alive Freed 0.0484179 0.0 20909 19640 0.0411095 0.0 21405 19792 0.0846190 0.0 22995 18698 0.0492838 0.0 23672 19611 0.0 0.1452965 1749 42211 0.0310949 0.0 2810 19227 0.0469624 0.0 3657 19441 0.0580108 0.0 4847 19098 gc.log

50. GC Log analysis using AWK script < GC Time >

51. GC Log analysis using HPJtune ※ http://www.hp.com/products1/unix/java/java2/hpjtune/index.html

52. GC Log analysis using AWK script < GC Amount >

53. Garbage Collection Tuning GC Tuning Find Most Important factor Low pause? Or High performance? Select appropriate GC model (New Model has risk!!) Select “server” or “client” Find appropriate Heap size by reviewing GC log Find ratio of young and old generation

54. Garbage Collection Tuning GC Tuning Full GC  Most important factor in GC tuning How frequently ? How long ? Short and Frequently  decrease old space Long and Sometimes  increase old space Short and Sometimes  decrease throughput  by Load balancing Fix Heap size Set “ms” and “mx” as same Remove shrinking and growing overhead Don’t Don’t make heap size bigger than physical memory (SWAP) Don’t make new generation bigger than half the heap

55. Jmeter / Threads Histogram

56. Jmeter /Threads Group Histogram

57. Example

58. Example 2004-01-08 오후 7:14 2004-01-09 오전 8 시 전후 2004-01-09 오후 7 시 전후 금요일 업무시간 2004-01-10 오전 10 시 전후 2004-01-10 오후 6 시 전후 PEAK TIME 52000~56000 sec 9 시 ~ 1 시간 가량 Before Tuned Old Area

59. Example Peak Time 시에 Old GC 시간이 4~8 sec 로 이로 인한 Hang 현상 유발이 가능함 Before Tuned GC Time

60. Example 12 일 03:38A 12 일 05:58P 13 일 07:18A 13 일 09:38P 14 일 11:58A 15 일 01:18A 15 일 03:38P 16 일 05:58A 16 일 07:18P 17 일 08:38A 17 일 10:58P Weekend Mon Office Our Tue Office Our Thur Office Our Fri Office Our After AP Tuned GC Time

61. Example 12 일 03:38A 12 일 05:58P 13 일 07:18A 13 일 09:38P 14 일 11:58A 15 일 01:18A 15 일 03:38P 16 일 05:58A 16 일 07:18P 17 일 08:38A 17 일 10:58P Weekend Mon Office Our Tue Office Our Thur Office Our Fri Office Our

62. Summary

63. JVM Tuning Summary Determine JVM performance goal Gather statistics on your application Select hotspot compiler Tuning heap Check threading model Feedback

64. More Tips More Tips

65. Thread dump Thread dump Enabled by Unix “kill –3 [JAVA PID]” Windows “Ctrl+Break” Snapshot of java application Can profiling “hang-up”, and “slow-down”

66. Thread dump example &quot;&quot; Thread dump when slowdown in WAS ExecuteThread: '232' for queue: 'default'&quot; daemon prio=5 tid=0x573ca630 nid=0xd2c waiting for monitor entry [0x5cebf000..0x5cebfdb8] at java.util.Hashtable.get(Hashtable.java:314) at java.util.ListResourceBundle.handleGetObject(ListResourceBundle.java:122) at java.util.ResourceBundle.getObject(ResourceBundle.java:371) at java.util.ResourceBundle.getObject(ResourceBundle.java:374) at java.text.DateFormatSymbols.initializeData(DateFormatSymbols.java:483) at java.text.DateFormatSymbols.<init>(DateFormatSymbols.java:99) at java.text.SimpleDateFormat.<init>(SimpleDateFormat.java:275) at java.text.SimpleDateFormat.<init>(SimpleDateFormat.java:264) at XXX.uv.com.cm.CmDateTimeUtil.getCurrentTime(CmDateTimeUtil.java:88) at XXX.uv.com.util.CmLog.setFileLog(CmLog.java:171) at XXX.uv.com.jsp.EjbJspBase.service(EjbJspBase.java:371) at weblogic.servlet.internal.ServletStubImpl.invokeServlet(ServletStubImpl.java:265) at weblogic.servlet.internal.ServletStubImpl.invokeServlet(ServletStubImpl.java:200) at weblogic.servlet.internal.WebAppServletContext.invokeServlet(WebAppServletContext.java:2546) at weblogic.servlet.internal.ServletRequestImpl.execute(ServletRequestImpl.java:2260) at weblogic.kernel.ExecuteThread.execute(ExecuteThread.java:139) at weblogic.kernel.ExecuteThread.run(ExecuteThread.java:120) &quot;ExecuteThread: '231' for queue: 'default'&quot; daemon prio=5 tid=0x573f9a60 nid=0x13a8 waiting for monitor entry [0x5ce7f000..0x5ce7fdb8] at java.util.Hashtable.get(Hashtable.java:314) at java.text.DecimalFormatSymbols.initialize(DecimalFormatSymbols.java:333) at java.text.DecimalFormatSymbols.<init>(DecimalFormatSymbols.java:55) at java.text.NumberFormat.getInstance(NumberFormat.java:565) at java.text.NumberFormat.getInstance(NumberFormat.java:324) at java.text.SimpleDateFormat.initialize(SimpleDateFormat.java:327) at java.text.SimpleDateFormat.<init>(SimpleDateFormat.java:276) at java.text.SimpleDateFormat.<init>(SimpleDateFormat.java:264) at XXX.uv.com.cm.CmDateTimeUtil.getCurrentTime(CmDateTimeUtil.java:88) at XXX.uv.com.cm.CmDateTimeUtil.getCurrentTime(CmDateTimeUtil.java:67) at XXX.uv.com.datastu.DateTime.setCurrentTime(DateTime.java:190) at XXX.uv.com.jsp.EjbJspBase.service(EjbJspBase.java:239) at weblogic.servlet.internal.ServletStubImpl.invokeServlet(ServletStubImpl.java:265) at weblogic.servlet.internal.ServletStubImpl.invokeServlet(ServletStubImpl.java:200) at weblogic.servlet.internal.WebAppServletContext.invokeServlet(WebAppServletContext.java:2546) at weblogic.servlet.internal.ServletRequestImpl.execute(ServletRequestImpl.java:2260) at weblogic.kernel.ExecuteThread.execute(ExecuteThread.java:139) at weblogic.kernel.ExecuteThread.run(ExecuteThread.java:120)

67. Profiling CPU usage/HP UX HP UX : Glance + Thread Dump HP Glance Press “G” Thread monitoring

68. Profiling CPU usage/HP UX &quot;Application Manager Thread&quot; prio=8 tid=0x002a6c00 nid=62 lwp_id=15999 waiting o n monitor [0x64bce000..0x64bce4b8] at java.lang.Thread.sleep(Native Method) at weblogic.management.mbeans.custom.ApplicationManager$ApplicationPolle r.run(ApplicationManager.java:1137) CPU Load of Thread 15999 is 17.7% Thread 15999 is working on weblogic.management.mbeans.custom.ApplicationManager (ApplicationManger.java 1137) Glance Thread Monitoring Java Thread Dump

69. Other tools Profile with Java option Analyze using HP Jmeter Jprobe Stress Test Load Runner MS Stress (Free)

70. Related URL Java Thread http://java.sun.com/docs/hotspot/threads/threads.htm Java Performance http://java.sun.com/docs/hotspot/PerformanceFAQ.html Java Thread http://www.javaworld.com/javaworld/jw-09-1998/jw-09-threads.html Pick up performance with generational gc http://www.javaworld.com/javaworld/jw-01-2002/jw-0111-hotspotgc.html JVM1.4 GC Tunning http://java.sun.com/docs/hotspot/gc1.4.2/index.html HP Jmeter,Jtune,Jconfig http://www.hp.com/products1/unix/java/developers/index.html SPECjvm98 SPECjAppServer2001/2002

71. Thank you