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1. Hotspot JVM and GC basics study note

   1. JVM components

HotSpot JVM comprises three main components: the class loader, the runtime data areas and the execution engine.

1. Key JVM components

There are three key components related to tune performance: the heap, the JIT compiler and the garbage collector. However, the JIT compiler is usually used to generate dynamically more efficient the native machine code. So it doesn‘t need to be tuned during running process with the latest versions of the JVM.

JVM tuning performance is focused on setting a proper heap size and choosing the most appropriate garbage collector.

1. Performance targets

Responsiveness and throughput are two basic targets for performance.

• Responsiveness: how much time a server must response to the requests from the clients, e.g.: a web server returning to the responses in less than three seconds, a database server sending query results in three hundreds milliseconds. Quick response time is the most important consideration for responsiveness.
• Throughput: Focus on maximizing the amount of job by an application in a specific period of time. I.E. the max number of transactions which an application can deal with in an hour. High pause times can be accepted for the performance target.

1. Automatic garbage collection

Automatic garbage collection is looking at heap memory, finding which objects are used and which ones are not used. Delete the unused objects and deallocate them. The memory used can be reclaimed.

1. Basic process

1. Step1: marking

The process marks which objects are unreferenced and which objects are referenced.

1. Step2: Normal deletion

Remove the unreferenced objects and leave referenced objects and free memory pointers.

Step2a: Deletion with compacting

In addition to remove unreferenced objects, move the referenced objects together. Make new memory reallocation easier and faster.

1. Why generational garbage collection

Y axis: the amount of bytes allocated;

X axis: X access shows the total numbers of bytes over time.(X axis represents time)

Empirical analysis of applications show most of the objects have a short lived.

1. JVM generations

• The young generation is where all new objects are generated and aged. The young generation‘s filling up triggers a minor garbage collection which is a kind of ‘stop the world ‘ events.
• The old generation is used to save the long survival objects, which cause a major garbage collection, another kind of ‘stop the world‘ events.
• The permanent generation contains metadata required by JVM to describe the classes and methods used by the application. In addition, JDK library classes and methods may be saved here. A full garbage collection includes permanent generation when a classes and methods get collected or unloaded.

1. Generational garbage collection process

1. First, new objects are allocated in Eden space. Both survivals space are empty.

1,3 represents the object‘s age.

1. A minor garbage collection is triggered when the Eden space fills up.

1. Referenced objects are moved to S0, the first survivor, whereas unreferenced objects are removed. The Eden space is cleared.

1. At the next minor GC, the same process happens in the Eden space, however, there is one difference from the last minor GC, which is that the referenced objects are moved to the S1 space instead of the S0. Furthermore, the referenced objects‘ ages in S0 are added by 1 then are moved to the S1 also. Finally, both the Eden space and the S0 space are cleared.

1. Next, the same process repeats except that S0 replaces of S1 to save the referenced objects.

1. This slide demonstrates the promotion from the young generation to the old generation. After a minor GC, when the age reaches the threshold(8 in the example), the referenced objects are promoted into the old generation.

1. As minor GC continue to occur, the objects will continue to be promoted from the Eden space to the old space.

1. The above steps cover the whole process with the young generation. Eventually, the major GC will be performed on the old generation which cleans up and compact the space.

1. Java garbage collectors

   1. Common Heap Related Switches

1. The Serial GC

The default GC collector is used by client style machine in JavaSE5 and 6. Both minor and major GC are done serially by a single visual CPU. It uses mark and compact collection method.

• Use cases

Applications don‘t have low pause requirement. Client-style machines. One machine runs many JVMs.

• Command line switches

To enable the serial GC: -XX:+UseSerialGC

E.g. java –Xmx –Xms –Xmn –XX:PermSize=20m –XX:MaxPermSize=20m –XX:UseSerialGC –jar c:\javademos\demo\jfc\Java2D\Java2demo.jar

1. The Parallel GC

Uses the multiple thread to do the young generation garbage collection. By default, on the N CPUs machine it uses N parallel garbage collector threads to do the collection. The amount of the parallel threads can be controlled by the command-line options:

-XX:ParallelGCThreads=<desired number>

• Use cases

This collector is called a throughput collector, which is used in a high throughput requirement environment with long pauses accepted.

• Command line swithes

-XX:UseParallelGC

Use multi-thread young generation collector, single-thread old generation collector with a compaction of old generation.

E.g. java -Xmx12m -Xms3m -Xmn1m -XX:PermSize=20m -XX:MaxPermSize=20m -XX:+UseParallelGC -jar c:\javademos\demo\jfc\Java2D\Java2demo.jar

-XX:UseParallelOldGC

Both young generation and old use multi-thread collectors. Only old generation GC uses compaction method.

E.g. java -Xmx12m -Xms3m -Xmn1m -XX:PermSize=20m -XX:MaxPermSize=20m -XX:+UseParallelOldGC -jar c:\javademos\demo\jfc\Java2D\Java2demo.jar

1. The Concurrent Mark Sweep(CMS) Collector

The concurrent mark sweep collector also refers to as the concurrent low pause collector, which is used to collector the tenured generation, running at the same time with applications. It uses the same algorithm as the parallel collector on the young generation.

• Use cases

Require low pauses and share resources with applications.

• Command line switches

To enable the CMS collector: -XX:+UseConcMarkSweepGC

Set the number of threads: -XX:ParrallelCMSThread=<desired number>

E.g. java -Xmx12m -Xms3m -Xmn1m -XX:PermSize=20m -XX:MaxPermSize=20m -XX:+UseConcMarkSweepGC -XX:ParallelCMSThreads=2 -jar c:\javademos\demo\jfc\Java2D\Java2demo.jar

1. The G1 Garbage Collector

http://www.oracle.com/webfolder/technetwork/tutorials/obe/java/G1GettingStarted/index.html

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The G1 is available in Java 7 and is purposed to instead of the CMS collector, which is concurrent, parallel, low-pause collector. I‘ll make note for the details about G1 in the following paragraph.

• Command line switches

Enable G1: -XX:+UseG1GC

E.g. java -Xmx12m -Xms3m -XX:+UseG1GC -jar c:\javademos\demo\jfc\Java2D\Java2demo.jar

In conclude, the OBE(Oracle by Example) includes:

1. JVM components: key components for tuning JVM.
2. Performance target: responsiveness and throughput.
3. Automatic garbage collection process.
4. Java garbage collectors: the serial GC, the parallel GC, the Concurrent Mark Sweep GC and G1.

   1. Collectors Comparision

      ?	The serial collector	The parallel collector	The concurrent mark sweep	The G1
      Stop the World	Yes	?	?	?
      Support Minor garbage collection	?	?	?	?
      Support Major garbage collection	?	?	?	?
      Support Full garbage collection	?	?	?	?
      Compact	?	?	?	?
      Command line	?	?	?	?
      Use case	?	?	?	?
      ?	?	?	?	?

      Comparisons of Three types of GC

      ?	Minor GC	Major GC	Full GC
      Stop the World	Y	?	?
      The trigger point	When free spaces can‘t be allocated for new objects	Minor GC often triggers major GC	?
      Process	1,Copy Objects referenced From eden, survivor to another survivor. 2,Clean up eden, survivor.	?	?
      Latency issues	1, If there are lots of live objects in young generation heap, minor gc will cost much more time	?	?

      ?

   1. GC tuning tools

5. Jps -l -m -v --show all JVMs processes

[root@service02 ~]# jps -l -l -m

3974 sun.tools.jps.Jps -l -l -m

28093 org.apache.catalina.startup.Bootstrap start

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1. Top -Hp 28093

[root@service02 ~]# top -Hp 28093

--the line in red is the thread which costs the most time

top - 09:57:27 up 202 days, 9:19, 1 user, load average: 0.05, 0.03, 0.00

Tasks: 58 total, 0 running, 58 sleeping, 0 stopped, 0 zombie

Cpu(s): 0.8%us, 0.4%sy, 0.0%ni, 98.7%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st

Mem: 32878972k total, 30914832k used, 1964140k free, 156240k buffers

Swap: 8388604k total, 89048k used, 8299556k free, 24949784k cached

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PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND

28146 root 20 0 12.9g 4.4g 12m S 1.0 13.9 1:26.10 java

28171 root 20 0 12.9g 4.4g 12m S 0.7 13.9 1:26.26 java

28141 root 20 0 12.9g 4.4g 12m S 0.3 13.9 0:06.77 java

28142 root 20 0 12.9g 4.4g 12m S 0.3 13.9 1:26.51 java

28144 root 20 0 12.9g 4.4g 12m S 0.3 13.9 1:25.39 java

28152 root 20 0 12.9g 4.4g 12m S 0.3 13.9 1:25.84 java

28158 root 20 0 12.9g 4.4g 12m S 0.3 13.9 1:25.26 java

28164 root 20 0 12.9g 4.4g 12m S 0.3 13.9 1:26.22 java

28165 root 20 0 12.9g 4.4g 12m S 0.3 13.9 1:25.80 java

28181 root 20 0 12.9g 4.4g 12m S 0.3 13.9 0:33.08 java

28093 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:00.00 java

28094 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:01.12 java

28095 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:03.38 java

28096 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:03.45 java

28097 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:03.51 java

28098 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:03.48 java

28099 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:14.24 java

28100 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:07.59 java

28101 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:00.59 java

28102 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:00.67 java

28103 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:00.00 java

28104 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:00.00 java

28105 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:34.41 java

28106 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:34.18 java

28107 root 20 0 12.9g 4.4g 12m S 0.0 13.9 0:00.00 java

***********************

-H : Threads toggle

Starts top with the last remembered ‘H‘ state reversed. When this toggle is On, all individual

threads will be displayed. Otherwise, top displays a summation of all threads in a process.

***********************

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[root@service02 ~]# printf "%x\n" 28142

6dee

[root@service02 ~]# jstack 28093|grep 6dee

"http-bio-8080-exec-1" daemon prio=10 tid=0x00007fa69c001800 nid=0x6dee waiting on condition [0x00007fa6fe97e000]

[root@service02 ~]#

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-- http://docs.oracle.com/javase/7/docs/technotes/tools/share/jmap.html

Reference to the link for jmap.

Jmap -dump:format=b,file=/home/jmap.dat 25886 --export a binary format dump heap file

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[root@service01 ~]# jmap -heap 25886

Attaching to process ID 25886, please wait...

Debugger attached successfully.

Server compiler detected.

JVM version is 24.65-b04

?

using parallel threads in the new generation.

using thread-local object allocation.--Applied to small and medium objects

Concurrent Mark-Sweep GC

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Heap Configuration:

MinHeapFreeRatio = 40

MaxHeapFreeRatio = 70

MaxHeapSize = 10737418240 (10240.0MB)

NewSize = 5368709120 (5120.0MB)

MaxNewSize = 5368709120 (5120.0MB)

OldSize = 5439488 (5.1875MB)

NewRatio = 2--

SurvivorRatio = 6--

PermSize = 134217728 (128.0MB)

MaxPermSize = 536870912 (512.0MB)

G1HeapRegionSize = 0 (0.0MB)

?

Heap Usage:

New Generation (Eden + 1 Survivor Space):

capacity = 4697620480 (4480.0MB)

used = 2608958240 (2488.096466064453MB)

free = 2088662240 (1991.9035339355469MB)

55.53786754608154% used

Eden Space:

capacity = 4026531840 (3840.0MB)

used = 2500600448 (2384.7584228515625MB)

free = 1525931392 (1455.2415771484375MB)

62.10308392842611% used

From Space:

capacity = 671088640 (640.0MB)

used = 108357792 (103.33804321289062MB)

free = 562730848 (536.6619567871094MB)

16.14656925201416% used

To Space:

capacity = 671088640 (640.0MB)

used = 0 (0.0MB)

free = 671088640 (640.0MB)

0.0% used

concurrent mark-sweep generation:

capacity = 5368709120 (5120.0MB)

used = 0 (0.0MB)

free = 5368709120 (5120.0MB)

0.0% used

Perm Generation:

capacity = 134217728 (128.0MB)

used = 78244312 (74.61959075927734MB)

free = 55973416 (53.380409240722656MB)

58.296555280685425% used

?

42874 interned Strings occupying 4766144 bytes.

[root@service01 ~]#

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http://docs.oracle.com/javase/7/docs/technotes/tools/share/jstat.html

Reference to the link.

jstat -gcnew -h3 21891 250

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S0C S1C S0U S1U TT MTT DSS EC EU YGC YGCT

?

64.0 64.0 0.0 31.7 31 31 32.0 512.0 178.6 249 0.203

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64.0 64.0 0.0 31.7 31 31 32.0 512.0 355.5 249 0.203

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64.0 64.0 35.4 0.0 2 31 32.0 512.0 21.9 250 0.204

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S0C S1C S0U S1U TT MTT DSS EC EU YGC YGCT

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64.0 64.0 35.4 0.0 2 31 32.0 512.0 245.9 250 0.204

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64.0 64.0 35.4 0.0 2 31 32.0 512.0 421.1 250 0.204

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64.0 64.0 0.0 19.0 31 31 32.0 512.0 84.4 251 0.204

?

S0C S1C S0U S1U TT MTT DSS EC EU YGC YGCT

?

64.0 64.0 0.0 19.0 31 31 32.0 512.0 306.7 251 0.204

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In addition to showing the repeating header string, this example shows that between the 2nd and 3rd sam-

ples, a young GC occurred. Its duration was 0.001 seconds. The collection found enough live data that the

survivor space 0 utilization (S0U) would would have exceeded the desired survivor Size (DSS). As a result,

objects were promoted to the old generation (not visible in this output), and the tenuring threshold (TT)

was lowered from 31 to 2.

?

Another collection occurs between the 5th and 6th samples. This collection found very few survivors and

returned the tenuring threshold to 31.

1. The huge objects allocation process

TLAB: thread local allocation byte

-XX:+PrintVMOptions -XX:+AggressiveOpts -XX:+UnlockDiagnosticVMOptions -XX:+UnlockExperimentalVMOptions -XX:+PrintFlagsFinal

--The above options print all JVM parameters.

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byte[] hugeObject = new byte[300*1024*1024];

????????//-Xmx1500m -Xms1500m -Xmn500m -XX:PretenureSizeThreshold=100000000 -XX:+PrintGCDetails

????????//If new generation is set less than the object‘s size, it will be allocated directly in old generation

????????//By adjusting Xmx to demonstrate huge object allocation process. e.g. Xmx=600m,610m, Xmn=300

for(MemoryPoolMXBean memoryPoolMXBean : ManagementFactory.getMemoryPoolMXBeans()){

????????????????System.out.println(memoryPoolMXBean.getName());

????????????????System.out.println(memoryPoolMXBean.getUsage().getUsed());

}

If an object‘s size is larger than the young generation space, JVM will allocate it in the tenure generation space directly.

HotSpot JVM and GC basics study note

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原文地址：http://www.cnblogs.com/peter2016/p/5147816.html