MemoryMXBean

package cn.zno.outofmomery;

import java.lang.management.ManagementFactory;
import java.lang.management.MemoryMXBean;
import java.util.ArrayList;
import java.util.List; public class Test {
MemoryMXBean memoryMXBean;
{
memoryMXBean = ManagementFactory.getMemoryMXBean();
System.out.println(memoryMXBean.isVerbose());
} void h(){
List<byte[]> list = new ArrayList<byte[]>();
while(true){
// System.out.println(memoryMXBean.getNonHeapMemoryUsage());
System.out.println(memoryMXBean.getHeapMemoryUsage());
list.add(new byte[1024*1024]);
}
} public static void main(String[] args) {
new Test().h();
}
}
  • 垃圾回收是否启用
  • 获取堆内存使用情况
  • 获取非堆内存使用情况

VM args

-verbose:gc  -XX:+PrintGCDetails

-verbose:gc

-Xloggc:D://data.log 

-Xloggc:D://data.log -XX:+PrintGCDetails

运行结果:

true
init = (32768K) used = (594K) committed = (31680K) max = (31680K)
init = (32768K) used = (1618K) committed = (31680K) max = (31680K)
init = (32768K) used = (2642K) committed = (31680K) max = (31680K)
init = (32768K) used = (3666K) committed = (31680K) max = (31680K)
init = (32768K) used = (4690K) committed = (31680K) max = (31680K)
init = (32768K) used = (5714K) committed = (31680K) max = (31680K)
init = (32768K) used = (6738K) committed = (31680K) max = (31680K)
init = (32768K) used = (7762K) committed = (31680K) max = (31680K)
[GC 7762K->7548K(31680K), 0.0032242 secs]
init = (32768K) used = (8572K) committed = (31680K) max = (31680K)
init = (32768K) used = (9689K) committed = (31680K) max = (31680K)
init = (32768K) used = (10887K) committed = (31680K) max = (31680K)
init = (32768K) used = (11911K) committed = (31680K) max = (31680K)
init = (32768K) used = (12935K) committed = (31680K) max = (31680K)
init = (32768K) used = (13959K) committed = (31680K) max = (31680K)
init = (32768K) used = (14983K) committed = (31680K) max = (31680K)
init = (32768K) used = (16007K) committed = (31680K) max = (31680K)
[GC 16007K->15739K(31680K), 0.0032697 secs]
init = (32768K) used = (16824K) committed = (31680K) max = (31680K)
init = (32768K) used = (17849K) committed = (31680K) max = (31680K)
init = (32768K) used = (18873K) committed = (31680K) max = (31680K)
init = (32768K) used = (19897K) committed = (31680K) max = (31680K)
init = (32768K) used = (20921K) committed = (31680K) max = (31680K)
init = (32768K) used = (21945K) committed = (31680K) max = (31680K)
init = (32768K) used = (22969K) committed = (31680K) max = (31680K)
init = (32768K) used = (23993K) committed = (31680K) max = (31680K)
[Full GC 23993K->23932K(31680K), 0.0051448 secs]
init = (32768K) used = (24956K) committed = (31680K) max = (31680K)
init = (32768K) used = (26020K) committed = (31680K) max = (31680K)
init = (32768K) used = (27044K) committed = (31680K) max = (31680K)
init = (32768K) used = (28068K) committed = (31680K) max = (31680K)
init = (32768K) used = (29092K) committed = (31680K) max = (31680K)
init = (32768K) used = (30116K) committed = (31680K) max = (31680K)
init = (32768K) used = (31140K) committed = (31680K) max = (31680K)
[Full GC 31140K->31100K(31680K), 0.0034119 secs]
[Full GC 31100K->31090K(31680K), 0.0033546 secs]
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at cn.zno.outofmomery.Test.h(Test.java:)
at cn.zno.outofmomery.Test.main(Test.java:)

垃圾回收格式解读

init = 33554432(32768K) used = 24568936(23993K) committed = 32440320(31680K) max = 32440320(31680K)
[Full GC 23993K->23932K(31680K), 0.0051448 secs]

-----------------------------------------------------------
[Full GC gc前used->gc后used(committed), 耗费时间]

参考 : https://www.oracle.com/technetwork/java/javase/gc-tuning-6-140523.html

Measurement

Throughput and footprint are best measured using metrics particular to the application. For example, throughput of a web server may be tested using a client load generator, while footprint of the server might be measured on the Solaris Operating System using the pmap command. On the other hand, pauses due to garbage collection are easily estimated by inspecting the diagnostic output of the virtual machine itself.

The command line option -verbose:gc causes information about the heap and garbage collection to be printed at each collection. For example, here is output from a large server application:

               
[GC 325407K->83000K(776768K), 0.2300771 secs]
[GC 325816K->83372K(776768K), 0.2454258 secs]
[Full GC 267628K->83769K(776768K), 1.8479984 secs]

Here we see two minor collections followed by one major collection. The numbers before and after the arrow (e.g., 325407K->83000K from the first line) indicate the combined size of live objects before and after garbage collection, respectively. After minor collections the size includes some objects that are garbage (no longer alive) but that cannot be reclaimed. These objects are either contained in the tenured generation, or referenced from the tenured or permanent generations.

The next number in parentheses (e.g., (776768K) again from the first line) is the committed size of the heap: the amount of space usable for java objects without requesting more memory from the operating system. Note that this number does not include one of the survivor spaces, since only one can be used at any given time, and also does not include the permanent generation, which holds metadata used by the virtual machine.

The last item on the line (e.g., 0.2300771 secs) indicates the time taken to perform the collection; in this case approximately a quarter of a second.

The format for the major collection in the third line is similar.

The format of the output produced by -verbose:gc is subject to change in future releases.

The option -XX:+PrintGCDetails causes additional information about the collections to be printed. An example of the output with -XX:+PrintGCDetails using the serial garbage collector is shown here.

               
[GC [DefNew: 64575K->959K(64576K), 0.0457646 secs] 196016K->133633K(261184K), 0.0459067 secs]

indicates that the minor collection recovered about 98% of the young generation, DefNew: 64575K->959K(64576K) and took 0.0457646 secs (about 45 milliseconds).

The usage of the entire heap was reduced to about 51% 196016K->133633K(261184K) and that there was some slight additional overhead for the collection (over and above the collection of the young generation) as indicated by the final time of 0.0459067 secs.

The option -XX:+PrintGCTimeStamps will add a time stamp at the start of each collection. This is useful to see how frequently garbage collections occur.

111.042: [GC 111.042: [DefNew: 8128K->8128K(8128K), 0.0000505 secs]111.042: [Tenured: 18154K->2311K(24576K), 0.1290354 secs] 26282K->2311K(32704K), 0.1293306 secs]

The collection starts about 111 seconds into the execution of the application. The minor collection starts at about the same time. Additionally the information is shown for a major collection delineated by Tenured. The tenured generation usage was reduced to about 10% 18154K->2311K(24576K) and took 0.1290354 secs (approximately 130 milliseconds).

As was the case with -verbose:gc, the format of the output produced by -XX:+PrintGCDetailsis subject to change in future releases.

ManagementFactory (二) getMemoryMXBean的更多相关文章

  1. java 利用ManagementFactory获取jvm,os的一些信息--转

    原文地址:http://blog.csdn.net/dream_broken/article/details/49759043 想了解下某个Java项目的运行时jvm的情况,可以使用一些监控工具,比如 ...

  2. java监控之ManagementFactory分析

    The ManagementFactory class is a factory class for getting managed beans for the Java platform. This ...

  3. JMX学习笔记(二)-Notification

    Notification通知,也可理解为消息,有通知,必然有发送通知的广播,JMX这里采用了一种订阅的方式,类似于观察者模式,注册一个观察者到广播里,当有通知时,广播通过调用观察者,逐一通知. 这里写 ...

  4. 深入理解java虚拟机---JDK8-废弃永久代(PermGen)迎来元空间(Metaspace)(十二)

    引用:https://www.cnblogs.com/yulei126/p/6777323.html JDK8-废弃永久代(PermGen)迎来元空间(Metaspace)   1.背景 2.为什么废 ...

  5. 【小程序分享篇 二 】web在线踢人小程序,维持用户只能在一个台电脑持登录状态

    最近离职了, 突然记起来还一个小功能没做, 想想也挺简单,留下代码和思路给同事做个参考. 换工作心里挺忐忑, 对未来也充满了憧憬与担忧.(虽然已是老人, 换了N次工作了,但每次心里都和忐忑). 写写代 ...

  6. 前端开发中SEO的十二条总结

    一. 合理使用title, description, keywords二. 合理使用h1 - h6, h1标签的权重很高, 注意使用频率三. 列表代码使用ul, 重要文字使用strong标签四. 图片 ...

  7. 【疯狂造轮子-iOS】JSON转Model系列之二

    [疯狂造轮子-iOS]JSON转Model系列之二 本文转载请注明出处 —— polobymulberry-博客园 1. 前言 上一篇<[疯狂造轮子-iOS]JSON转Model系列之一> ...

  8. 【原】Android热更新开源项目Tinker源码解析系列之二:资源文件热更新

    上一篇文章介绍了Dex文件的热更新流程,本文将会分析Tinker中对资源文件的热更新流程. 同Dex,资源文件的热更新同样包括三个部分:资源补丁生成,资源补丁合成及资源补丁加载. 本系列将从以下三个方 ...

  9. 谈谈一些有趣的CSS题目(十二)-- 你该知道的字体 font-family

    开本系列,谈谈一些有趣的 CSS 题目,题目类型天马行空,想到什么说什么,不仅为了拓宽一下解决问题的思路,更涉及一些容易忽视的 CSS 细节. 解题不考虑兼容性,题目天马行空,想到什么说什么,如果解题 ...

随机推荐

  1. IOS中bounds和frame

    * 用bounds和frame来修改尺寸是有一些小区别的 三.isEqual:方法 1> 系统会根据对象isEqual方法的返回值来决定两个对象是否相同 * 比如判断对象a和b是否相同,就会查看 ...

  2. ffmpeg命令学习

    1.组成 程序:ffmpeg.ffplay.ffprobe.ffserverffmpeg:转码程序ffplay:播放程序ffserver:服务器程序 库:libavcodec.libavdevice. ...

  3. 解决Eclipse快捷键被其他软件占用

    做为一个java攻城狮,eclipse是我最常用的攻城设备,eclipse快捷键 极大的提高了我的开发效率!!!! 前段时间升级了一下我的战斗装备——给电脑的系统盘换成了一个固态硬盘,因此需要重装系统 ...

  4. USACO 2013 Nov Silver Pogo-Cow

    最近因为闲的蛋疼(停课了),所以开始做一些 USACO 的银组题.被完虐啊 TAT 貌似 Pogo-Cow 这题是 2013 Nov Silver 唯一一道可说的题目? Pogo-Cow Descri ...

  5. python练习程序(c100经典例18)

    题目: 求s=a+aa+aaa+aaaa+aa...a的值,其中a是一个数字.例如2+22+222+2222+22222(此时共有5个数相加),几个数相加有键盘控制. def foo(a,n): su ...

  6. Spark RDD操作(1)

    https://www.zybuluo.com/jewes/note/35032 RDD是什么? RDD是Spark中的抽象数据结构类型,任何数据在Spark中都被表示为RDD.从编程的角度来看,RD ...

  7. JavaScript对象 + Browser 对象 + HTML DOM 对象

    JavaScript 对象 Array Boolean Date Math Number String RegExp Global Browser 对象 Window Navigator Screen ...

  8. arcgis9.3 执行python文件

    1) 打开Python GUI 2) 选择菜单“File->Open”,打开你要执行的*.py文件 3) 选择菜单“Run->Run Module”,运行python文件 4)运行结果

  9. MongoDB Auto-Sharding(自动分片)入门介绍

    MongoDB是10gen团队开发的一款面向文档的NoSQL数据库.最近一年多以来,MongoDB被越来越多的大型网站应用到生产环境中,比较著名的有Foursquare, bit.ly, Source ...

  10. 职业操盘手内部教材 z

    重 点抢筹区:   是主力机构在低位拉高建仓后的一个相当尴尬的区域!因为在这个区域,场外的绝大多数投资者不敢买,而场内持有的人却很想卖!所以会出现成片的卖盘挂单! 由于主力向上做的意图已经非常明显,所 ...