Java 虚拟机分析与优化

JavaJava 虚拟机分析与优化虚拟机分析与优化

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Overview

JVM Basics

Overview of JVM/J9 and SUN/HP

Memory Management / Garbage Collection

Runtime Performance Tuning

Debugging Tools

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JVM BasicsHighest Level Overview

Java is a Write Once Run Anywhere (WORA) 3rd generation Object Oriented programming language that is executed on a virtual machine

The Java Virtual Machine (JVM) runs applications written in Java after the Java code has been compiled to bytecode via the javac process.

The JVM in conjunction with other components performs optimization on your compiled Java code to attempt to make it as fast as native code

The JVM performs automatic memory management (Garbage Collection) to ensure that system wide memory leaks do not occur and to allow for easier development by allowing developers not to explicitly have to perform memory management.

There are multiple implementations of the JVM which all “should” execute any application written for the Java specification level that JVM was developed for.

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JVM BasicsWhich JVM do I have?

The different platforms that WebSphere Application Server runs on have different JVM implementations in some cases

The IBM J9 JVM is the runtime environment on the following Operating Systems or Platforms AIX, Windows, Linux (x86), Linux (PPC), iSeries, zSeries

The Sun JVM is the runtime environment on all platforms running the Solaris Operating System

The HP JVM (which is a very simple Sun JVM port) is the runtime environment on all platforms running the HP-UX Operating System

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JVM BasicsThe Overall Java Application Stack

JVM is built using OO design. Building Block components providing higher level function for simplified end user development and runtime

JVM’s core runtimes are developed in C or C++ and execute a large majority of function in native code Garbage collector, MMU, JIT, etc IO subroutines, OS calls

The J2SE/J2EE APIs all exist at the Java Code layer. Makes data structures available Gives users access to needed function Allow black box interactions with system

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JVM BasicsJIT Basics from a performance perspective

The Just-in-time compiler (JIT) is not really part of the JVM but is essential for a high performing Java application Java is Write Once Run Anywhere thus it is interpreted by nature and without

the JIT could not compete with native code applications

The JIT works by compiling byte code loaded from the class loader when it is access by an application. Due to different platforms having different JITs there is no standard method for

when a method is compiled. As your code accesses methods the JIT determines how frequently specific

methods are accessed and compiles those touched often quickly to optimize performance

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Overview

JVM Basics

Overview of IBM’s J9 JVM



Debugging Tools

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Overview of IBM’s J9 JVMWhat is the J9 JVM?

Sun IP-free, but Java 2 (1.3) compliant (J2ME) and J2SE (1.4.2, 5.0)

Highly configurable class library implementation

Multi-platform PowerPC, IA32, x86-64, and 390 (Linux or z/OS) More 3rd party applications than the above outside of the IBM middleware

space

Flexible and sophisticated technology oriented to: Performance (throughput and application startup) Scalability Reliability and Serviceability (RAS)

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Garbage collector enhancements Incorporates for the first time generational garbage collection

Fine-grained locking of VM data structures

Asynchronous compilation Compilation of Java methods proceeds on a background thread

• Other application threads do not have to wait to execute the method Improves startup time of heavily multithreaded applications on SMPs

Compile-time optimizations to remove contention escape analysis, lock coarsening, … architectural support to limit its effect

Superior JIT (Just in time) compiler Multiple optimization methods from application profiling to more intelligent and better code

optimization algorithms

Overview of IBM’s J9 JVMScalability

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Superior Java application execution performance Just-In-Time (JIT) compiler technology

• Far improved over JDK 1.4.2 and Sun’s JIT• Maximized performance with minimized runtime overhead

– multiple optimization levels, multiple recompilations of the same method, many new optimizations

– dynamic observation of the execution of code via profiling to aggressively improve hot code

– Interpreter profiling to adapt compilation to compiled methods for block reordering, loop unrolling, etc.

Overview of IBM’s J9 JVMKey Highlights for WAS

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Overview

JVM Basics




Debugging Tools

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Memory Management / Garbage CollectionOverview

Garbage Collection (GC) - the main cause of memory–related performance bottlenecks in Java.

Two things to look at in GC: frequency and duration Frequency depends on the heap size and allocation rate Duration depends on the heap size and number of objects in the heap

GC algorithm – it is critical to understand how it works so that tuning is done more intelligently.

How do you eliminate GC bottlenecks minimize the use of objects by following good programming practices Set your heap size properly, memory-tune your JVM

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Memory Management / Garbage CollectionWhat factors effect memory performance the most

Memory management – how efficient does the system manage memory ?

Total available memory – is there enough memory to satisfy every request for memory ?

Allocation Rate – how often does the application requests for memory ?

Object Size – how big are these objects ?

Object Lifetime – how long do these objects stay reserved by the application ?

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Memory Management / Garbage Collection Parallel VS Concurrent Collectors

Parallel Collectors – two or more threads run at the same time to perform garbage collectionStill uses the “stop-the-world” model but instead of

only one GC thread, there are helper threads as well.

Concurrent Collectors – collector threads are triggered to run while applications are runningDoes not use “stop-the-world” but threads can be

asked to perform garbage collection once in a while

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IBM J9 JDK Platforms Memory management is configurable using four different policies with varying

characteristics

1. Optimize for Throughput – flat heap collector focused on maximum throughput2. Optimize for Pause Time – flat heap collector with concurrent mark and sweep to

minimize GC pause time3. Generational Concurrent – divides heap into “nursery” and “tenured” segments

providing fast collection for short lived objects. Can provide maximum throughput with minimal pause times

4. Subpool – a flat heap technique to help increase performance on large SMP systems with 16 or more processors by optimizing the object allocation. Only available on IBM pSeries™ and zSeries™

Sun/HP JDK 5.0 Platforms Garbage collector always Generational but implementation is chosen based on class of

system out of the box

1. Serial – Collects objects one at a time in both new and old generations2. Throughput - Uses a parallel model for collecting objects in the new generation3. Concurrent – Uses parallel collection in the new generation and concurrent in old.

Memory Management / Garbage CollectionWhat garbage collection algorithms are available on my JDK?

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Memory Management / Garbage Collection How the IBM Mark and Sweep Garbage Collector Works

Global Heap

Thread Local Heap

Wilderness

Thread A

Stack

Stack

Thread B

Thread Local HeapSystem Heap(JDK 1.4.2)

Used Heap

Thread Local HeapUsed Heap

Used Heap

Garbage Collector

Heap lock

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Memory Management / Garbage Collection How the IBM J9 Generational and Sun/HP Garbage Collectors Work

IBM J9:-Xmn (-Xmns/-Xmnx)Sun:-XX:NewSize=nn-XX:MaxNewSize=nn-Xmn<size>

Sun JVM Only:-XX:MaxPermSize=nn

• Minor Collection – takes place only in the young generation, normally done through direct copying very efficient• Major Collection – takes place in the old generation and uses the normal mark and sweep algorithm

Nursery/Young Generation Old Generation Permanent Space

JVM Heap

IBM J9:-Xmo (-Xmos/-Xmox)Sun:-XX:NewRatio=n

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Allocate Space Survivor Space

Nursery/Young Generation

Nursery is split into two spaces (semi-spaces)Only one contains live objects and is available for allocation at a timeMinor collections (Scavenges) move objects between spacesRole of spaces is reversed

Movement results in implicit compaction, reducing fragmentation

Nursery/Young Generation

Survivor Space Allocate Space

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Quiz

What is the default GC mode (optavgpause, optthruput, gencon, or subpool)?

optthruput - that is, generational collector and concurrent marking are off.

How many GC helper threads are spawned? What is their work?

A platform with n processors will have n-1 helper threads.These threads work along with the main GC thread during: v Parallel mark phase v Parallel bitwise sweep phase v Parallel compaction phase

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Quiz

I am getting an OutOfMemoryError. Does this mean that the Java heap is exhausted?

Not necessarily. Sometimes the Java heap has free space but an OutOfMemoryError can occur. The error could occur because of :v Shortage of memory for other operations of the JVM. v Some other memory allocation failing. The JVM throws an OutOfMemoryError in such situations.v Excessive memory allocation in other parts of the application, unrelated to the JVM, if the JVM is just a part of the process, rather than the entire process (JVM through JNI, for instance). v The heap has been fully expanded, and an excessive amount of time (95%) is being spent in the GC. This can be disabled using the option -Xdisableexcessivegc.

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Quiz

Does GC guarantee that it will clear all the unreachable objects?

GC guarantees only that all the objects that were not reachable at the beginning of the mark phase will be collected. While running concurrently, GC guarantees only that all the objects that were unreachable when concurrent mark began will be collected. Some objects might become unreachable during concurrent mark, but they are not guaranteed to be collected.

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Quiz

When I see an OutOfMemoryError, does that mean that the Java program will exit?

Not always. Java programs can catch the exception thrown when OutOfMemory occurs, and (possibly after freeing up some of the allocated objects) continue to run.

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Overview

JVM Basics




Debugging Tools

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Challenging Road

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Runtime Performance TuningOverview

Tuning the JVM properly is a process that takes time and must be tailored to your application. HOWEVER you can typically get 80% of the maximum performance with 20%

of the work by ensuring that you are making good choice on a few key settings To truly extract maximum performance from your application you must know

your applications memory allocation and runtime needs

The JVM must be tuned in two iterative steps over a testing cycle Step 1: Heap Size tuning Step 2: Applying runtime optimization Applying these two steps repeatedly will lead you to a JVM tuned for your

application

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Runtime Performance TuningKey Parameters

The key setting for the IBM JVM that effects performance most on all Java application and should get you near 80% of your maximum performance if set correctly is: Heap Size (-Xms / -Xmx) Ensure that you are setting your minimum and maximum to values that are under

you physical memory limitation but allow you to have a substantially large interval between GC’s• Typical low end bound on frequency of GC’s is 10sec• Typical high end bound on duration of GC’s is 1-2sec

For the Sun/HP JVM a lot more work is required to get optimal performance than just tuning the heap size as you need to tune the garbage collector and runtime as well A new JVM setting was introduced in JDK 1.4.1 that for Sun has shown promise in

automatically tuning the rest of heap settings for your machine • -XX:+AggresiveHeap is issued at the command line and it makes decisions on

GC algorithms, Young/Old Generation spaces, and other resources to use. One must also issue the –server parameter to the Sun/HP JVMs to get them to

run in their highest performing mode.

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I want my application to run to completion as quickly as possible. -Xgcpolicy:optthruput

My application requires good response time to unpredictable events. -Xgcpolicy:optavgpause

My application has a high allocation and death rate (i.e. objects are short-lived). -Xgcpolicy:gencon

My application is running on big metal and has high allocation rates on many threads. -Xgcpolicy:subpool

Runtime Performance TuningWhat GC Policy should I choose for the J9 JVM?

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Runtime Performance TuningReal world examples

Some WebSphere applications perform better with Generational – however some applications degrade in performance.

Customer may still be interested in generational if it delivers lower GC pause times.

WebSphere 6.1 - Trade 6

020406080

100120

optthruput gencon

WebSphere 6.1 - SPECjAppServer

020406080

100120

optthruput gencon

Numbers are approximate and only intended to show a general behaviour seen when running Trade6 compared to SPECjAppServer

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Runtime Performance TuningOther IBM JVM Tuning Parameters

-Xgcthreads<n> - (default is n-1 for n processors)

-Xnoclassgc - turns off class garbage collection

-Xnocompactgc - turns off compaction which can lead to fragmentation

-Xoss<size> - set the max Java stack size of any thread

-Xss<size> - set the max native stack size of any thread

-Xlp - enables large page support on supported Operating Systems

-Xdisableexplicitgc - turns System.gc() calls into no-ops

-Xifa:<on|off|force> - enables the Java code to run on z/OS zAAP processors

-Xmaxe / -Xmine - sets the maximum or minimum expansion unit during allocation

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I want my application to concurrently with a lot of other JVM’s (hoteling). Use default serial collector as the GC algorithm is single threaded

I need my application to perform good on a large number of processors. -XX:+UseParallelGC

I need my application to return near constant response times on machines that have a large number of processors. -XX:+UseConcMarkSweepGC

I need my application to return near constant response times on machines that have a small number of processors. -XX:+UseTrainGC

Runtime Performance TuningWhat GC Policy should I choose for the Sun JVM?

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Runtime Performance TuningOther Sun/HP JVM Tuning Parameters

-Xincgc - incremental GC, uses the Train algorithm

-XX:+AggressiveHeap - maximizes heap size and algorithms for speed

-Xnoclassgc - disable class garbage collection

-Xss - set the stack size of each thread (512K)

-XX:+DisableExplicitGC - no System.gc() will be executed

-XX:TargetSurvivorRatio - sets threshold in survivor space for promotion to kick in

-XX:+UseAdaptiveSizePolicy - JVM determines good size for Eden, Survivor Spaces (default is on)

-XX:+UseISM - allows for bigger pages (4MB)

-XX:+UseMPSS (Solaris 9 onwards) - uses Multiple Page Size Support w/4mb pages, replaces ISM

-Xoptgc - optimizes GC in Young Generation (HP only)

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The tenured space must be large enough to hold all persistent data of the application. Too small will cause excessive GC or even out of memory conditions.

For a typical WebSphere Application Server application this is ~100-400Mb.

One way to determine the tenure space size is to look at the amount of free heap exists after each GC in default mode %free heap x Total heap size

Analyze GC logs to understand how frequently the tenured space gets collected. An optimal generational application will have very infrequent collection in

the tenured space.

Runtime Performance TuningHow to tune a generational GC setup – Setting the tenured/old space

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Large nursery “good for throughput”

Small nursery “good for low pause times”

Good WebSphere performance (throughput) requires a reasonable large nursery.

• A good starting point would be 512MB.• Move up or down to determine optimal value

– Measure throughput and/or response times Analyze GC logs to understand frequency and length of scavenges.

Runtime Performance TuningHow to tune a generational GC setup – Setting the nursery/new generation space

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Overview

JVM Basics




Debugging Tools

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Debugging ToolsGarbage Collection Debugging/Analysis Tools (Verbose:GC)

The GC Log Your most indispensable tool directly from the JVM runtime

Enabled by issuing –verbose:gc on the java command line

Pros - provides detailed low-level information for serious debugging, enough

for initial investigation readily available and it is free

Cons - Have to restart your server not suitable for production environments does not give object-level information for further analysis

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<af type="nursery" id="35" timestamp="Thu Aug 11 21:47:11 2005" intervalms="10730.361"> <minimum requested_bytes="144" /> <time exclusiveaccessms="1.193" /> <nursery freebytes="0" totalbytes="1226833920" percent="0" /> <tenured freebytes="68687704" totalbytes="209715200" percent="32" > <soa freebytes="58201944" totalbytes="199229440" percent="29" /> <loa freebytes="10485760" totalbytes="10485760" percent="100" /> </tenured> <gc type="scavenger" id="35" totalid="35" intervalms="10731.054"> <flipped objectcount="1059594" bytes="56898904" /> <tenured objectcount="12580" bytes="677620" /> <refs_cleared soft="0" weak="691" phantom="39" /> <finalization objectsqueued="1216" /> <scavenger tiltratio="90" /> <nursery freebytes="1167543760" totalbytes="1226833920" percent="95" tenureage="14" /> <tenured freebytes="67508056" totalbytes="209715200" percent="32" > <soa freebytes="57022296" totalbytes="199229440" percent="28" /> <loa freebytes="10485760" totalbytes="10485760" percent="100" /> </tenured> <time totalms="368.309" /> </gc> <nursery freebytes="1167541712" totalbytes="1226833920" percent="95" /> <tenured freebytes="67508056" totalbytes="209715200" percent="32" > <soa freebytes="57022296" totalbytes="199229440" percent="28" /> <loa freebytes="10485760" totalbytes="10485760" percent="100" /> </tenured> <time totalms="377.634" /></af>

Allocation request details, time it took to stop all mutator threads.

Heap occupancy details before GC.

Heap occupancy details after GC.

Details about the scavenge.

Runtime Performance TuningVerbose:GC from J9

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Nursery/Young GenerationUnderstanding Verbose GC output of the Scavenger

Surviving objects can move either to the new or old areaEventually, “new” objects are considered “long living”

“Flipped” objects remain in the new area.“Tenured” objects are moved to the old area.

Allocate Space Survivor Space Old Generation

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As objects flip between semi-spaces they “age”Objects that have aged sufficiently are moved to the Old area

Number of times an object will “flip” between semi-

spaces before being moved to the Old Generation

Allocate Space Survivor Space Old Generation

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Low survival rate can allow the semi-space split to be unevenThe dividing line can be “tilted” in favor of the allocate space

Allocate Space Survivor Space

Ratio of Nursery devoted to the allocate space

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Object movement can fail due to lack of space The collector will switch the movement type from one to

another to complete the collect

Type of object movement that failed during the collection

Allocate Space Survivor Old Generation

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Scavenging can fail due to a complete lack of spaceAbort the Scavenge and attempt a global collect

Allocate Space Survivor Old ?

The collection is aborted and will result in a global collect

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Debugging ToolsGarbage Collection Debugging/Analysis Tools – Sun/HP JVM verbose:gc output

Example:

0.0000013: [Full GC 0.0005366: [Tenured: 0K->4185K(1380352K), 0.3102502 secs] 62984K->4185K(2057344K), 0.3103787 secs]

236.661: [GC 236.661: [DefNew Desired survivor size 61145088 bytes, new threshold 31 (max 31) - age 1: 16817808 bytes, 16817808 total - age 2: 20124840 bytes, 36942648 total : 630283K->36076K(657088K), 0.7287377 secs] 666617K->72411K(2037440K), 0.7289491 secs]

262.697: [GC 262.697: [DefNew Desired survivor size 61145088 bytes, new threshold 31 (max 31) - age 1: 15971824 bytes, 15971824 total - age 2: 3806192 bytes, 19778016 total - age 3: 18963992 bytes, 38742008 total : 633452K->37833K(657088K), 0.6451270 secs] 669787K->74168K(2037440K), 0.6453326 secs]

286.232: [GC 286.233: [DefNew Desired survivor size 61145088 bytes, new threshold 31 (max 31) - age 1: 17242304 bytes, 17242304 total - age 2: 5131296 bytes, 22373600 total - age 3: 2684464 bytes, 25058064 total - age 4: 18728192 bytes, 43786256 total : 635209K->42760K(657088K), 0.7164103 secs] 671544K->79094K(2037440K), 0.7166029 secs]

-verbose:gc –XX:+PrintTenuringDistribution –XX:+PrintGCDetails –XX:+PrintGCTimeStamps

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Debugging ToolsIBM JDK Debugging/Analysis Tools

Thread dumps In essence a snap shot in time of what your system is executing. Used to debug and find where

threads are spending time in your system, or are hung in your system Available on all JVM’s by issuing kill -3 <pid> on the command line where the <pid> is your

server’s process id Or by launching WAS using the –Xdump:java option (IBM JDK 1.5 and above)

• Eg: -Xdump:java:events=uncaught,filter=java/net/SocketException writes a threaddump whenever a SocketException is thrown and not handled

Heap dumps Can be enabled to occur with a thread dump by setting the following JVM properties

• Click on Application Server -> server1 -> Process definition -> custom properties ->• Enter Name = IBM_HEAPDUMP• Value = true• Enter Name = IBM_JAVA_HEAPDUMP_TEXT (this enables generating heapdump in txt

format, which can be analyzed using heaproots)• Value = true

Can be analyzed using HeapRoots at http://www.alphaworks.ibm.com/tech/heaproots

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Debugging ToolsIBM JDK Debugging/Analysis Tools

Class loader runtime diagnostics -verbose:class – Gives you information about which classes are loaded -Dibm.cl.verbose=<classname> - Gives you specific information about the

class loaders that attempt to load the specified class and the locations in which they look

Runtime Performance Analysis A variety of third party tools will hook up to the IBM JVM to provide runtime

level profiling• Jprobe, Jprofiler, etc

Hprof if built into the JDK as a profiler but is limited in function however still good for debugging simple unit test case performance issues

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A few VERY useful URLs

http://www-106.ibm.com/developerworks/java/jdk/diagnosis/ Contains all the diagnostic guides for our JVMs PDF on GC and Memory usage

http://java.sun.com/docs/performance Contains a large amount of documentation and tuning for the Sun JVM Reference to all SUN JVM flags as well as an explanation of them

http://www.hp.com/products1/unix/java/infolibrary/index.html Wealth of information on tuning and configuring the HPUX JVM

http://www-106.ibm.com/developerworks/java/jdk/diagnosis/

http://java.sun.com/docs/performance

http://www.hp.com/products1/unix/java/infolibrary/index.html

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Questions

Please complete your evaluation

Thank you!!

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Member) 。

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ISTE 成员义务 ISTE 成员不是 IBM 员工，他们的言论也不代表

IBM 。 ISTE 的成员是根据其专业技术技能和在过去一年对IBM 技术社区做出的贡献评选的，因此，我们鼓励希望加入ISTE 的朋友以及 ISTE 成员积极与他人分享自己的专业技能和经验，协助 ISTE 的活动，展现自己的专业素质并且维护ISTE 的形象。

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入会流程 1. 申请者填写 IBM 软件技术精英协会入会申请表，发送给

[email protected]

2. 资格委员会依照成员条件对申请者进行审核 3. 审核通过后，通知申请者准备不长于 20 分钟的演讲 4.由评委进行直接面试，通过面试者被正式授予 ISTE 资格

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Azureray @ ITPUB

mailto:[email protected]/[email protected]

Java 虚拟机分析与优化

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