Jvm Performance Tunning

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

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

Basic Concept of JVM Tuning Basic concept of JVM Tuning

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]

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

Hotspot Compiler Hotspot compiler

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

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

Hotspot Detection
Hotspot detection
Method Inlining
Dynamic Deoptimization

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

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

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

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

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

Threading Threading model

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

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

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

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

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

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%

JVM Performance Test on Solaris
Performance Test Result Graph

Memory Tuning Memory Model

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

Generational Garbage Collection

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

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

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

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

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

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

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

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

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

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

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 .

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)

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

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

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

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

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

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

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

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

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

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

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

GC Log analysis using AWK script
Awk script
BEGIN{ printf("Minor Major Alive Free "); } { if( substr($0,1,4) == "[GC "){ split($0,array," "); printf("%s 0.0 ",array[3]) split(array[2],barray,"K") before=barray[1] after=substr(barray[2],3) reclaim=before-after printf("%s %s ",after,reclaim) } if( substr($0,1,9) == "[Full GC "){ split($0,array," "); printf("0.0 %s ",array[4]) split(array[3],barray,"K") before = barray[1] after = substr(barray[2],3) reclaim = before - after printf("%s %s ",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

GC Log analysis using AWK script < GC Time >

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

GC Log analysis using AWK script < GC Amount >

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

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

Jmeter / Threads Histogram

Jmeter /Threads Group Histogram

Example

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

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

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

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

Summary

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

More Tips More Tips

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”

Thread dump example
""
Thread dump when slowdown in WAS
ExecuteThread: '232' for queue: 'default'" 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) "ExecuteThread: '231' for queue: 'default'" 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)

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

Profiling CPU usage/HP UX
"Application Manager Thread" 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

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

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

Thank you

Jvm Performance Tunning

by guest1f2740 on Mar 16, 2009

Accessibility

Categories

Tags

Upload Details

Usage Rights

1 Embed 12

Statistics

Jvm Performance Tunning — Presentation Transcript