JVM学习心得

栏目:娱乐资讯  时间:2023-08-09
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  线程共享:定义一个变量或者一个方法,多线程都可以同时访问、修改这个方法或者变量

  线程隔离:就是数据不能被多个线程同时访问,某些数据只属于一个线程

  运行时数据区分为:方法区,堆,虚拟机栈、本地方法栈、程序计数器。

  线程共享区域:方法区、堆、

  线程隔离区域:虚拟机栈、本地方法栈、程序计数器

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  类加载:JDK编译java文件后的class文件从磁盘加载到内存中,类一开始从磁盘加载到内存的时候先加载到方法区中

  Class文件中除了有类的版本、字段、方法、接口等描述信息

  方法区:存放已被加载的类信息、常量、静态变量、即时编译器编译后的代码数据,即永久代

  jdk1.8中不存在方法区了,被元数据区(元空间)替代了,原方法区被分成两部分; 1: 加载的类信息,2:运行时常量池;加载的类信息被保存在元数据区中,

  运行时常量池保存在堆中; 字符串常量池

  1、在JDK1.7前,运行时常量池+字符串常量池是存放在方法区中,HotSpot VM对方法区的实现称为永久代。

  2、在JDK1.7中,字符串常量池从方法区移到堆中,运行时常量池保留在方法区中。

  3、在JDK1.8中,HotSpot移除永久代,使用元空间代替,此时字符串常量池保留在堆中,运行时常量池保留在方法区中,只是实现不一样了,JVM内存变成了直接内存。 运行时常量区

  运行时常量池是方法区的一部分

  方法区是一个大数组,常量区是数组的一部分,类加载后的常量池表的内容存放到方法区的运行时常量池中

  java中的栈通常是指虚拟机栈,更多情况只是指虚拟机栈中的局部变量,

  虚拟机栈:线程私有的,每个方法执行的时候都会创建一一个栈帧, 用于存储局部变量表、操作数、动态链接和方法返回等信息,当线程请求的

  栈深度超过了虚拟机允许的最大深度时,就会抛出StackOverFlowError;

  创建对象是在堆中

  堆: java堆是所有线程共享的一块内存,几乎所有对象的实例和数组都要在堆上分配内存,因此该区域经常发生垃圾回收的操作;

  本地方法栈:线程私有的,保存的是native方法的信息,当-个jvm创建的线程调用native方法后,jvm不会在虚拟机栈中为该线程创建栈帧,而是简单的动态链接并直接调用调用操作系统提供的某些方法;

  就是java的执行,最终需要把我们的方法翻译成操作系统可识别的语言,本地方法栈就是存放翻译后的方法

  记录线程执行到哪一步,什么时候入栈,什么时候出栈、什么时候进入循环、跳转、异常,线程恢复等等由程序计数器来进行记录。也就是记录

  记录着下一条JVM的指令地址

  如果正在执行本地方法,这个计数器的值则应该为空

  JVM占的内存是我们自己写的C和汇编所占据的内存,不属于JVM数据区一部分,属于本机运行内存。执行JVM的时候还需要调用操作系统内核

  提供的方法,操作系统也需要消耗内存,这时就用到了直接内存,一般程序都消耗直接内存

  知识扩展:操作系统调取内核提供的方法,内核连接驱动,驱动硬件只识别汇编语言,硬件中加了存储功能有一套翻译,支持C语言的识别

  Java内存模型(下文简称JMM)就是在底层处理器内存模型的基础上,定义自己的多线程语义。它明确指定了一组排序规则,来保证线程间的可见性。

  这一组规则被称为Happens-Before, JMM规定,要想保证B操作能够看到A操作的结果(无论它们是否在同一个线程),那么A和B之间必须满足

  Happens-Before关系:(写后读)

  ●单线程规则:一个线程中的每个动作都happens-before该线程中后续的每个动作

  ●监视器锁定规则:监听器的解锁动作happens-before后续对这个监听器的锁定动作

  ●volatile变量规则:对volatile字段的写入动作happens-before后续对这个字段的每个读取动作

  ●线程start规则:线程start()方法的执行happens-before一个启动线程内的任意动作

  ●线程join规则:一个线程内的所有动作happens-before任意其他线程在该线程join(成功返回之前

  ●传递性:如果A happens-before B,且B happens-before C,那么A happens-before C

  所以说,Java 内存模型描述的是多线程对共享内存修改后彼此之间的可见性,另外,还确保正确同步的Java代码可以在不同体系结构的处理器上正确运行。

  对Happens-Before的理解

  如果线程A与线程B之间要通信的话,必须要经历下面2个步骤。

  1)线程A把本地内存A中更新过的共享变量刷新CPU高速缓存然后再刷新到主内存中去。

  2)线程B到主内存中去读取线程A之前已更新过的共享变量

  这仍然遵循的是写后读思想

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  1、在堆中分配对象选择哪种分配方式:

  假设Java堆中内存是绝对规整的,所有被使用过的内存都被放在一 边,空闲的内存被放在另一边,中间放着一个指针作为分界点的指示器,指针指的就是边界,内存的分配就是通过调整边界,删除就是通过调整边界规定为无效。

  但如果Java堆中的内存并不是规整的,虚拟机就必须维护一个列表,记录上哪些内存块是可用的,在分配的时候从列表中找到一块足够大的空间划分给对象实例,并更新列表上的记录

  当使用Serial、ParNew等带压缩整理过程的收集器时,系统采用的分配算法是指针碰撞,既简单又高效;

  而当使用CMS这种基于清除 算法的收集器时,理论上就只能采用较为复杂的空闲列表来分配内存

  对象在堆内存中的存储布局可以划分为三个部分:对象头、实例数据和对齐填充(8bit倍数)

  对象头:两类信息

  1、是用于存储对象自身的运行时数据,如哈希码(HashCode)、GC分代年龄、锁状态标志、线程持有的锁、偏向线程ID、偏向时间戳等,

  2、类型指针

  对象的第三部分是对齐填充,

  空指针就是空引用,java空指针异常就是引用本身为空,却调用了方法,这个时候就会出现空指针异常。 常常是因为我们调用的对象是空的而抛出的异常。

  1、最常用的一种就是直接对 对象进行判断,就是对代码的规范,参数校验之类的

  比如if(Object == null)来对所有用到的对象进行判断,或者是用equals进行判断,常量放前面,变量放equals后面

  比如在写servlet项目的时候

  如果某个用户在输入数据时并没有提供表单 域"username" 的值,就会抛出空指针异常

  如果返回是集合类型。而且是空的,不要返回null值,而是要返回一个空的集合,如果返回类型是对象的话,我们可以抛出异常。

  2、

  在一般情况下,如果在用户已经进行某个会话,则不会出现什么问题;但是,如果此时应用服务器重新启动,而用户还没有重新登录,(也可能是用户关闭浏 览器,但是仍打开原来的页面。)那么,此时该session的值就会失效,同时导致session中的session.username的值为空。对一个 为 null的对象的直接执行toString()操作,就会导致系统抛出空指针异常。

  3、

  这个时候你的p就出现空指针异常,因为你只是声明了这个Person类型的对象并没有创建对象,所以它的堆里面没有地址引用,切忌你要用对 象掉用方法的时候一定要创建对象。

  4、使用instanceof 操作符

  即使对象的引用为null,instanceOf操作符可使用。当引用为null时,instanceof操作符返回false,而且不会抛出NullPointerException,比如

  内存溢出是指程序在申请内存时,没有足够的内存空间供其使用,出OutOfMemoryError

  整个栈或堆溢出

  除了程序计数器,其他内存区域都有0OM的风险。

  ●栈一般经常会发生StackOverflowError, 一般是递归创建线程

  ●Java8常量池移到堆中,溢出会出java.lang.OutOfMemoryError: Java heap space, 设置最大元空间大小参数无效;

  ●堆内存溢出,报错同上,这种比较好理解,GC之后无法在堆中申请内存创建对象就会报错;

  ●方法区OOM, 经常会遇到的是动态生成大量的类、jsp等;

  ●直接内存00M,涉及到-XX:MaxDirectMemorySize参数和Unsafe对象对内存的申请。

  排查0OM的方法:

  ●增加两个参数-XX:+HeapDumpOnOutOfMemoryError -

  XX:HeapDumpPath=/tmp/heapdump.hprof,当0OM发生时自动dump堆内存信息到指定目

  录;

  ●同时jstat 查看监控JVM的内存和GC情况,先观察问题大概出在什么区域;

  ●使用MAT工具载入到dump文件,分析大对象的占用情况,比如HashMap做缓存未清理,时间长了就会内存溢出,可以把改为弱引用。

  ?

  虚拟机栈溢出 方法不断压栈,线程栈空间满了就会溢出 StackOverflowError,一般都是递归导致的

  ? -Xss:规定了每个线程虚拟机栈及堆栈的大小,一般情况下,256k是足够的,此配置将会影响此进程中并发线程数的大小。

  ? 但是,如果是建立过多线程导致的内存溢出,在不能减少线程数量或者更换64位虚拟机的情况下,就只能通过减少最大堆和减少栈容量来换取更多的线程。

  堆的内存不够创建对象了

  **堆溢出分析方法:**对Dump出来的堆转储快照进行分析。第一步首先应确认内存中导致OOM的对象是否是必要的,也就是要先分清楚到底是出现了内存泄漏还是内存溢出

  -Xms:表示初始化JAVA堆的大小及该进程刚创建出来的时候,他的专属JAVA堆的大小,一旦对象容量超过了JAVA堆的初始容量,JAVA堆将会自动扩容到-Xmx大小。

  ? **-Xmx:**表示java堆可以扩展到的最大值,在很多情况下,通常将-Xms和-Xmx设置成一样的,因为当堆不够用而发生扩容时,会发生内存抖动影响程序运行时的稳定性。

  一个对象已经没用了,但是还是有句柄指向它,利用不上

  内存够,但是由于我们申请数组的内存空间是连续的,存在着和页和块一样大小的4KB的碎片空间,这样的话碎片空间是无法使用的,利用不上内存就是内存泄漏。

  **排查内存泄露:**top-c先查看一下应用进程,c:显示进程完整的路径与名称。

  ? 再free命令用来显示内存的使用情况,以MB显示内存大小

  ? df-h查看磁盘盘剩余空间

  CPU占用率特别高,达到了900%。

  我们的Java进程,并不做大量CPU运算,正常情况下,CPU应该在100~200%之间,出现这种CPU飙升的情况,要么走到了死循环,要么就是在做大量的GC。

  使用jstat -gc pid [interval]命令查看了java进程的GC状态,果然,FULL GC达到了每秒一次。gcXXX各区域GC的详细信息,如-gcold

  这么多的FULL GC,应该是内存泄漏没跑了,于是使用jstack pid > jstack.log保存了线程栈的现场,使用jmap -dump:format=b,file=heap.log pid保存了堆现场,然后重启了探测服务,报警邮件终于停止了。

  分析栈

  栈的分析很简单,看一下线程数是不是过多,多数栈都在干嘛。。

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  才四百多线程,并无异常

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  线程状态好像也无异常,接下来分析堆文件。

  下载堆dump文件

  堆文件都是一些二进制数据,在命令行查看非常麻烦,Java为我们提供的工具都是可视化的,Linux服务器上又没法查看,那么首先要把文件下载到本地。

  由于我们设置的堆内存为4G,所以dump出来的堆文件也很大,下载它确实非常费事,不过我们可以先对它进行一次压缩。

  gzip是个功能很强大的压缩命令,特别是我们可以设置-1-9来指定它的压缩级别,数据越大压缩比率越大,耗时也就越长,推荐使用-67,-9实在是太慢了,且收益不大,有这个压缩的时间,多出来的文件也下载好了。

  使用MAT分析jvm heap

  MAT是分析Java堆内存的利器,使用它打开我们的堆文件(将文件后缀改为 .hprof), 它会提示我们要分析的种类。

  方法区和运行时常量池内存不够

  HotSpot从JDK 7开始逐步“去永久代”的计划,并在JDK 8中完全使用元空间来代替永久代

  在JDK 6或更早之前的HotSpot虚拟机中,常量池都是分配在永久代中,JDK7开始放在堆中

  是一个本地方法,就是String A= “Java”,如果Java这个字符串一直存在于字符串常量池,它就返回字符串常量池中Java这个字符串的String对象的引用。如果String A= “renzilu” renzilu这个字符串不存在于常量池中,将此String对象包含的字符串添加到常量池中,并且返回此String对象的引用

  public static void main(String[] args) {

  ? String str1 = new StringBuilder(“计算机”).append(“软件”).toString();

  ? System.out.println(str1.intern() == str1);

  ? String str2 = new StringBuilder(“ja”).append(“va”).toString();

  ? System.out.println(str2.intern() == str2);

  }

  这段代码在JDK 6中运行,会得到两个false,而在JDK 7中运行,会得到一个true和一个false。

  因为在JDK6中,intern()方法会把首次遇到的字符串实例复制到永久代的字符串常量池中存储,但是字符串常量池在栈中,StringBulider对象创建需要在堆中

  而在JDK7中,字符串常量池已经移到Java堆,只需要在常量池里记录一下首次出现的实例引 用即可,因此intern()返回的引用和由StringBuilder创建的那个字符串实例就是同一个。而对str2比较返回false,这是因为“java”是内置的常用字符串,这个字符串在执行String-Builder.toString()之前就已经出现过了,字符串常量池中已经有它的引用,不符合intern()方法要求“首次遇到”的原则,“计算机软件”这个字符串则是首次出现的,因此结果返回true。

  (堆外内存):除了消耗JVM内存,也要消耗操作系统内存

  java变慢:栈、堆内存满了,或者堆外内存满了

  怎么调用堆外内存:DirectByteBuffer类直接通过反射获取Unsafe实例进行内存分配,虽然使用DirectByteBuffer分配内存也会抛出内存溢 出异

  常,但它抛出异常时并没有真正向操作系统申请分配内存,而是通过计算得知内存无法分配就会在代码里手动抛出溢出异常,真正申请分配内存

  的方法是Unsafe::allocateMemory()

  在方法中声明的基本类型的变量,调用时在栈中分配空间,结束时释放栈

  在类中声明的成员变量,在堆中分配空间,不会因为方法销毁失效

  对于引用变量,是对象的存储地址,存放在栈中

  都是1024KB

  ? 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