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wenzhongyu · Sep 15, 2020 · 119d6df · 119d6df
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diff --git a/.DS_Store b/.DS_Store
diff --git a/settings.xml → config/settings.xml b/settings.xml → config/settings.xml
diff --git a/settings2.xml → config/settings2.xml b/settings2.xml → config/settings2.xml
diff --git a/typ-pic/.DS_Store b/typ-pic/.DS_Store
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diff --git a/typ-pic/image-20200908170144961.png b/typ-pic/image-20200908170144961.png
diff --git a/typ-pic/image-20200908173956218.png b/typ-pic/image-20200908173956218.png
diff --git a/typ-pic/image-20200908174252679.png b/typ-pic/image-20200908174252679.png
diff --git a/typ-pic/image-20200908203250237.png b/typ-pic/image-20200908203250237.png
diff --git a/typ-pic/image-20200908203521215.png b/typ-pic/image-20200908203521215.png
diff --git a/typ-pic/image-20200909135349066-0165571.png b/typ-pic/image-20200909135349066-0165571.png
diff --git a/typ-pic/image-20200915181353631.png b/typ-pic/image-20200915181353631.png
diff --git a/typ-pic/image-20200915181412270.png b/typ-pic/image-20200915181412270.png
diff --git a/学习笔记/Dubbo.md b/学习笔记/Dubbo.md
@@ -11,7 +11,7 @@
 
 ## Dubbo框架设计结构
 
-![123](https://tva1.sinaimg.cn/large/007S8ZIlly1girhn1omuzj30y10u0q6w.jpg)
+![123](../typ-pic/007S8ZIlly1girhn1omuzj30y10u0q6w.jpg)
 
 1. `service` 服务接口层：该层是与实际业务逻辑相关的，根据服务提供方和服务消费方的业务设计对应的接口和实现。
 2. `config` 配置层：对外配置接口，以`ServiceConfig`和`ReferenceConfig`为中心，可以直接new配置类，也可以通过spring解析配置生成配置类。
@@ -43,7 +43,7 @@
 
 　　而且因为走的是单一长连接，所以传输数据量太大的话，会导致并发能力降低。所以一般建议是传输数据量很小，支撑高并发访问。
 
-![img](https://tva1.sinaimg.cn/large/007S8ZIlly1girhsowmomj30mc0ift9a.jpg)
+![img](../typ-pic/007S8ZIlly1girhsowmomj30mc0ift9a.jpg)
 
 **rmi协议**
 
@@ -154,7 +154,7 @@ Protocol Buffer 其实是 Google 出品的一种轻量并且高效的结构化
 
 ## Dubbo 中 SPI 机制
 
-![image-20200908170144961](../md-pic/image-20200908170144961.png)
+![image-20200908170144961](../typ-pic/image-20200908170144961.png)
 
 
 
@@ -185,25 +185,20 @@ Protocol Buffer 其实是 Google 出品的一种轻量并且高效的结构化
 - 什么是本地暴露和远程暴露，他们的区别?
 
   1. 本地暴露是`暴露在JVM中`，不需要网络通信。URL以`injvm`开头，比如`injvm.//127.0.0.1/com.alibaba`
-2. 远程暴露是将ip和端口等信息暴露给远程客户端，调用时需要网络通信。URL以`registry`开头，比如`registry://192.168.0.11:2181`
-
+  2. 远程暴露是将ip和端口等信息暴露给远程客户端，调用时需要网络通信。URL以`registry`开头，比如`registry://192.168.0.11:2181`
 ## 服务暴露的过程
 
-### 总过程
-
-![](https://tva1.sinaimg.cn/large/007S8ZIlly1girhi0j6r5j30u01d70xo.jpg)
-
 ### 本地暴露
 
-![](https://tva1.sinaimg.cn/large/007S8ZIlly1girhifvapvj30sa10ydhn.jpg)
+![007S8ZIlly1girhifvapvj30sa10ydhn](../typ-pic/007S8ZIlly1girhifvapvj30sa10ydhn.jpg)
 
 ### 远程暴露
 
-![](https://tva1.sinaimg.cn/large/007S8ZIlly1girhiq6yfdj30y70u0tag.jpg)
+![007S8ZIlly1girhiq6yfdj30y70u0tag](../typ-pic/007S8ZIlly1girhiq6yfdj30y70u0tag.jpg)
 
 ## 整体总结
 
-![2019071210011_4](/Users/wenzhong/typora-pic/2019071210011_4.png)
+![2019071210011_4](../typ-pic/2019071210011_4.png)
 
 ## 服务注册
 
@@ -214,11 +209,9 @@ Protocol Buffer 其实是 Google 出品的一种轻量并且高效的结构化
 
 ## 服务引用流程
 
-![1041678-5c94322b3aa14d9a](/Users/wenzhong/typora-pic/1041678-5c94322b3aa14d9a.png)
-
-
+![1041678-5c94322b3aa14d9a](../typ-pic/1041678-5c94322b3aa14d9a.png)
 
-![image-20200908203250237](/Users/wenzhong/typora-pic/image-20200908203250237.png)
+![image-20200908203250237](../typ-pic/image-20200908203250237.png)
 
 ## Zookeeper创建节点
 
@@ -244,7 +237,7 @@ Protocol Buffer 其实是 Google 出品的一种轻量并且高效的结构化
 
 - 在dubbo中，什么时候更新本地的zookeeper信息缓存文件？订阅zookeeper信息的整体过程是怎么样的?
 
-  ![2019071210012_3](/Users/wenzhong/typora-pic/2019071210012_3.png)
+  ![image-20200915181226607](../typ-pic/007S8ZIlly1giri0u6y5cj31cm0u0dmr.png)
 
 ## Dubbo服务降级
 
@@ -260,9 +253,3 @@ Protocol Buffer 其实是 Google 出品的一种轻量并且高效的结构化
 
 原理就是改变注册在zookeeper上的节点信息，从而zookeeper通知重新生成invoker。
 
-![](https://tva1.sinaimg.cn/large/007S8ZIlly1girgo0mrwaj30u00yy1fc.jpg)
-
-
-
-![](https://tva1.sinaimg.cn/large/007S8ZIlly1girgzpdfenj30u00z5b2a.jpg)
-
diff --git a/学习笔记/JVM 案例分析.md b/学习笔记/JVM 案例分析.md
@@ -0,0 +1,61 @@
+# JVM 案例分析
+
+## 问题一 Major GC和Minor GC频繁
+
+服务情况：Minor GC每分钟100次 ，Major GC每4分钟一次，单次Minor GC耗时25ms，单次Major GC耗时200ms，接口响应时间50ms。
+
+### 优化前
+
+jvm 内存分配情况：
+
+eden：500m
+
+from: 60m
+
+old: 2.5G, used 300m
+
+优化方案：增大 Eden 区 2 倍，old 区
+
+![img](../typ-pic/1470cba5.png)
+
+### 优化后
+
+FGC: 14次/h --> 6/h
+
+YGC: 80/min --> 30/min
+
+总GC：2000ms/min  --> 90ms/min
+
+## 案例二 请求高峰期发生GC，导致服务可用性下降
+
+GC日志显示，高峰期CMS在重标记（Remark）阶段耗时1.39s。
+
+![img](../typ-pic/ee8d24f9.png)
+
+结果
+
+经过增加CMSScavengeBeforeRemark参数，单次执行时间>200ms的GC停顿消失，从监控上观察，GCtime和业务波动保持一致，不再有明显的毛刺。
+
+## 案例三 发生Stop-The-World的GC
+
+
+
+
+
+
+
+```
+-Xms4g 
+-Xmx4g 
+-Xmn2g 
+-Xss1024K 
+-XX:PermSize=256m 
+-XX:MaxPermSize=512m 
+-XX:ParallelGCThreads=20 
+-XX:+UseConcMarkSweepGC 
+-XX:+UseParNewGC 
+-XX:+UseCMSCompactAtFullCollection 
+-XX:CMSInitiatingOccupancyFraction=80
+
+```
+
diff --git a/学习笔记/JVM.md b/学习笔记/JVM.md
@@ -0,0 +1,154 @@
+# JVM
+
+## JVM 内存区域
+
+![image-20200506225001489](../typ-pic/image-20200506225001489.png)
+
+![image-20200506224855715](../typ-pic/image-20200506224855715.png)
+
+## 垃圾回收与算法
+
+![image-20200506230334889](../typ-pic/image-20200506230334889.png)
+
+## 垃圾回收器和使用的回收算法
+
+- Serial 收集器（单线程复制算法）
+- ParNew 收集器（多线程 + 复制算法）
+- Parallel Scavenge 收集器（多线程 + 复制算法）
+- Serial Old 收集器（单线程 + 标记整理算法）
+- Parallel Old 收集器（多线程 + 标记整理算法）
+- CMS 收集器（多线程 + 标记清除算法）
+- G1 收集器（标记整理算法）
+
+![image-20200506234821260](../typ-pic/image-20200506234821260.png)
+
+通过上图可以发现
+
+1. Serial、ParNew、 Parallel Scavenge 是用来收集新生代的收集器
+2. CMS、 Serial Old、Parallel Old 是用来收集老年代的收集器；然后 CMS 是不能和 Parallel Scavenge 结合起来用的，CMS 是可以和 Serial Old 联合起来收集老年代的。
+
+## G1垃圾收集器有哪些优点？ 
+
+1. `并行和并发`：可以充分利用多CPU、多核环境的优势，使用多个CPU缩短STW的时间，部分其他收集器原本需要停顿Java线程执行GC动作，G1收集器能够通过并发的方式让Java进程继续执行；
+2. `分代收集`：不需要配合其他收集器进行GC，G1可以处理整个GC区域，采用不同的处理方式处理新生对象和经历多次GC的旧对象，以获得更好的回收效果；
+3. `空间整合`：采用`标记整理算法`，从局部来看是复制算法实现，但是无论如何这两种算法都意味着G1收集器在运行期间不会产生垃圾碎片，收集后能够提供规整的可用内存，这种特性有利于系统长时间运行，不会因为大对象占用空间不足导致频繁GC；
+4. `可以预测停顿时间`：G1的一大优势，降低STW时间是G1和CMS共同关注点，但是G1除了降低停顿时间外，还能建立可预测的停顿时间模型，能够让使用者指定一个长度为N毫秒的时间段，G1收集器将在该时间段内尽量回收更多的垃圾。
+
+## 哪些可以作为GC ROOTS？
+
+- `方法区中静态常量`引用的对象
+- `方法区中静态属性`引用的对象
+- `虚拟机栈中栈帧中局部变量表`引用的对象
+- `本地方法栈中本地方法`引用的对象
+
+## 什么时候需要加载类？
+
+- 调用new、getstatic、putstatic 或 invokestatic 这4条指令，生成这4条指令的最常见的Java代码场景是：使用new关键字实例化对象的时候、读取或设置一个类的静态字段（被final修饰、已在编译期把结果放入常量池的静态字段除外）的时候，以及调用一个类的静态方法的时候；
+- 使用反射包的方法对类进行调用的时候；
+- 初始化某个类发现其父类未初始化；
+- 虚拟机启动时，需要指定一个主类作为入口。
+
+## 不会执行类初始化的情形
+
+1. 通过子类引用父类的静态字段，只会触发父类的初始化，而不会触发子类的初始化。
+2. 定义对象数组，不会触发该类的初始化。
+3. 常量在编译期间会存入调用类的常量池中，本质上并没有直接引用定义常量的类，不会触
+发定义常量所在的类。
+4. 通过类名获取 Class 对象，不会触发类的初始化。
+5. 通过 Class.forName() 加载指定类时，如果指定参数 initialize 为 false 时，也不会触发类初
+始化，其实这个参数是告诉虚拟机，是否要对类进行初始化。
+6. 通过 ClassLoader 默认的 loadClass 方法，也不会触发初始化动作。
+
+## 如何排查CPU负载过高
+
+1. top -c 查看所有进程；
+2. 键入P 按照cpu的使用率从大到小排序；
+3. 根据第2步拿到的pid 执行top -Hp pid 查看pid对应的线程cpu使用率；
+4. 键入P 线程CPU的消耗从大到小排序； 
+5. 选择第四步中最耗CPU的线程id；
+6. 由于Linux中线程id的打印是10进制，将线程id转为16进制，printf “%x\n” tid；
+7. 打印线程id对应的jstack日志 jstack pid │ grep tid -C 5 --color ：输出指定pid的线程jstack日志，过滤筛选指定的线程id，找到位置后前后打印5行 满足条件的tid字段线程颜色；
+8. 根据堆栈线程找到对应的代码行。
+
+## GC分析 命令调优
+
+主要关注点：
+
+- GC日志分析
+- 调优命令
+- 调优工具
+
+### GC日志分析
+
+![image-20200329212229164](../typ-pic/image-20200329212229164-1120707.png)
+
+### 调优命令和工具
+
+![img](../typ-pic/b4e8ab0a76a8665879e0fc13964ebc0d.jpg)
+
+Sun JDK监控和故障处理命令有`jps`、 `jstat`、 `jmap`、 `jhat`、 `jstack`、 `jinfo`
+
+- `jps`，JVM Process Status Tool，显示指定系统内所有的HotSpot虚拟机进程。
+- `jstat`，JVM statistics Monitoring是用于监视虚拟机运行时状态信息的命令，它可以显示出虚拟机进程中的类装载、内存、垃圾收集、JIT编译等运行数据。
+- `jmap`，JVM Memory Map命令用于生成heap dump文件。
+- `jhat`，JVM Heap Analysis Tool命令是与jmap搭配使用，用来分析jmap生成的dump，jhat内置了一个微型的HTTP/HTML服务器，生成dump的分析结果后，可以在浏览器中查看。
+- `jstack`，用于生成java虚拟机当前时刻的线程快照。
+- `jinfo`，JVM Configuration info 这个命令作用是实时查看和调整虚拟机运行参数。
+
+### jstat命令
+
+`jstat -gc pid 1000 100`
+
+```properties
+S0C：第一个幸存区的大小
+S1C：第二个幸存区的大小
+S0U：第一个幸存区的使用大小
+S1U：第二个幸存区的使用大小
+EC：伊甸园区的大小
+EU：伊甸园区的使用大小
+OC：老年代大小
+OU：老年代使用大小
+MC：方法区大小
+MU：方法区使用大小
+CCSC：压缩类空间大小
+CCSU：压缩类空间使用大小
+YGC：年轻代垃圾回收次数
+YGCT：年轻代垃圾回收消耗时间
+FGC：老年代垃圾回收次数
+FGCT：老年代垃圾回收消耗时间
+GCT：垃圾回收消耗总时间
+```
+
+### 调优工具
+
+常用调优工具分为两类，jdk自带监控工具：`jconsole`和`jvisualvm`，第三方有：MAT(Memory Analyzer Tool)、GChisto。
+
+- jconsole，Java Monitoring and Management Console是从java5开始，在JDK中自带的java监控和管理控制台，用于对JVM中内存，线程和类等的监控。
+- jvisualvm，jdk自带全能工具，可以分析内存快照、线程快照；监控内存变化、GC变化等。
+- MAT，Memory Analyzer Tool，一个基于Eclipse的内存分析工具，是一个快速、功能丰富的Java heap分析工具，它可以帮助我们查找内存泄漏和减少内存消耗。
+- GChisto，一款专业分析gc日志的工具。
+
+## OOM 问题排查的一些常用工具
+
+**使用 MAT（Eclipse Memory Analyzer） 来分析 dump（堆转储快照） 文件**
+
+步骤：
+
+1. 运行 Java 时添加 「-XX:+HeapDumpOnOutOfMemoryError」 参数来导出内存溢出时的堆信息，生成 hrof 文件，添加 【-XX:HeapDumpPath】可以指定 hrof 文件的生成路径，如果不指定则 hrof 文件生成在与字节码文件相同的目录下；
+2. 使用 MAT（Eclipse Memory Analyzer）来分析 hrof 文件，查出内存泄漏的原因。
+
+## JVM 里 new 对象时，堆会发生什么吗？怎么去设计JVM的堆的线程安全
+
+- 指针碰撞
+
+假设JVM虚拟机上，每一次new 对象时，指针就会向右移动一个对象size的距离，一个线程正在给A对象分配内存，指针还没有来的及修改，另一个为B对象分配内存的线程，引用这之前的指针指向，这就发生了抢占，也被称为`指针碰撞`。
+
+`TLAB`的实现是给每个线程分配私有的指针，存对象的内存空间还是给所有线程访问，其它线程无法在这个区域分配，保证堆的线程安全**Thread Local Allocation Buffer**，`线程本地分配缓存`；
+
+JVM在内存新生代Eden Space中开辟了一小块线程私有的区域TLAB（Thread-local allocation buffer）。在Java程序中很多对象都是小对象且用过即丢，它们不存在线程共享也适合被快速GC，所以对于小对象通常JVM会优先分配在TLAB上，并且TLAB上的分配由于是线程私有，所以没有锁开销。
+
+也就是说，**Java中每个线程都会有自己的缓冲区称作TLAB，在对象分配的时候不用锁住整个堆，而只需要在自己的缓冲区分配即可**。
+
+## G1重要算法与总体流程
+
+![G1重要算法与总体流程](../typ-pic/G1%E9%87%8D%E8%A6%81%E7%AE%97%E6%B3%95%E4%B8%8E%E6%80%BB%E4%BD%93%E6%B5%81%E7%A8%8B.png)