当前位置:网站首页>JVM garbage collector part 1
JVM garbage collector part 1
2022-07-06 17:14:00 【Smart popcorn】
1. Garbage collector classification
Press Working mode
classification , Garbage collectors can be divided into :
- Concurrent garbage collection
- Exclusive garbage collection
Hairstyle It means that multiple threads perform garbage collection alternately , The pause time of the program is reduced .
exclusive It means that once garbage collection is performed , Stop other user threads , That is, once garbage collection is performed , The user program will not work .
Press Number of threads
classification , Garbage collectors can be divided into :
- Serial garbage collector
- Parallel garbage collector
- Concurrent garbage collector
Serial GC Only suitable for single core CPU Upper use , It works better , It's not used now .
parallel GC It refers to multiple threads performing garbage collection at the same time , But it is still exclusive , There will be stop the world The phenomenon of .
Concurrent GC It refers to the alternate execution of garbage collection threads and user threads , There is no need to pause .
Press Pieces processing
classification , Garbage collectors can be divided into :
- Compression garbage collector
- Uncompressed garbage collector
This is mainly aimed at the mark removal algorithm , Some recyclers do not use this algorithm , That's why there is this classification .
Press The working memory
classification , Garbage collectors can be divided into the garbage collection of the new generation and the old generation , Because these two areas are very different , Different garbage collectors are generated according to these two areas .
2. assessment GC Performance index of
There are many kinds of indicators , Briefly introduce .
throughput : It refers to the proportion of user thread execution time in the total time , Of course, the bigger the better .
Garbage collection expenses : Refers to the proportion of garbage collection threads in the total time , The smaller the better. .
Pause time : This is what we often say STW, No matter which garbage collector has a pause time , This is caused by the garbage collection thread , We hope the shorter the better .
Collection frequency : It refers to the proportion of garbage collection times in a certain period of time , It depends on the situation , When the frequency is high , Unit pause time is short , The frequency is low , Unit pause time is long .
Memory footprint : Generally refers to the occupation of the heap area , The larger it is, the more objects it can store .
Fast : A bit abstract , We hope that objects can be recycled as soon as they are not used .
Notice the bold noun in front of me ?
These make up the Impossible Triangle , Too much memory , The longer it takes to garbage collect objects once , It also makes the pause time longer , But throughput can be improved , Anyway, the memory is small , Throughput gets lower , But the pause time will become smaller .
But there is still a specific standard , Because memory is relatively cheap , We hope that under the premise of maximum throughput , Can reduce pause time .
3. The history of garbage collector
Just to understand , Here is a cut-off picture , You can simply look at the content in the red box .
4. Seven classic garbage collectors
Serial GC:Serial,Serial Old, The difference between the two is that the former is recycled by the Cenozoic , The latter recycles the elderly .
parallel GC:ParNew,Parallel Scavenge,Parallel Old.
Concurrent GC:CMS,G1, among G1 Count the all-around players .
5. The combination of garbage collectors
Need to know , Not one JVM Just use a garbage collector , They are used together , The combination is as follows , The dotted line indicates that it will be eliminated in later versions .
6. See the default garbage collector
Before any program starts , We can join in JVM Parameters , Print out what the default garbage collector is .
-XX:+PrintCommandLineFlags
The results are as follows ,jdk The default is ParallelGC
-XX:InitialHeapSize=265723392 -XX:MaxHeapSize=4251574272 -XX:+PrintCommandLineFlags -XX:+UseCompressedClassPointers -XX:+UseCompressedOops -XX:-UseLargePagesIndividualAllocation -XX:+UseParallelGC
We will focus on different garbage collectors in the next article .
边栏推荐
- Typescript basic operations
- High performance mysql (Third Edition) notes
- Von Neumann architecture
- Use of mongodb in node
- JVM运行时数据区之程序计数器
- Resume of a microservice architecture teacher with 10 years of work experience
- Fdog series (III): use Tencent cloud SMS interface to send SMS, write database, deploy to server, web finale.
- Instructions for Redux
- Set up the flutter environment pit collection
- Flink parsing (VI): savepoints
猜你喜欢
Flink源码解读(三):ExecutionGraph源码解读
Activiti目录(五)驳回、重新发起、取消流程
Interpretation of Flink source code (III): Interpretation of executiongraph source code
ByteDance open source Gan model compression framework, saving up to 97.8% of computing power - iccv 2021
Activit零零碎碎要人命的坑
Some instructions on whether to call destructor when QT window closes and application stops
Shell_ 01_ data processing
The daemon thread starts redis and modifies the configuration file
Alibaba cloud server builds SVN version Library
Flink源码解读(二):JobGraph源码解读
随机推荐
After idea installs the plug-in, restart the plug-in and disappear
数据传送指令
亮相Google I/O,字节跳动是这样应用Flutter的
Flink 解析(七):时间窗口
TCP的三次握手和四次挥手
登陆验证koa-passport中间件的简单使用
SQL调优小记
Shell_ 01_ data processing
Assembly language addressing mode
js垃圾回收机制和内存泄漏
8086 分段技术
字节跳动春招攻略:学长学姐笔经面经,还有出题人「锦囊」
When it comes to Google i/o, this is how ByteDance is applied to flutter
Design of DS18B20 digital thermometer system
控制转移指令
@RequestMapping、@GetMapping
Fdog series (V): use QT to imitate QQ to realize login interface to main interface, function chapter.
Shell_ 03_ environment variable
Flink 解析(一):基础概念解析
Description of project structure configuration of idea