Java并发编程笔记——技术点汇总 - netoxi

公告

线程安全

1. 线程安全：当多个线程访问某一个类（对象或方法）时，这个类（对象或方法）始终能表现出正确的行为，那么这个类（对象或方法）就是线程安全的。

2. 线程不安全的示例。期望结果是100000，实际却不是，并且每次执行结果可能不同。

 1 import java.util.ArrayList;
 2 import java.util.List;
 3 
 4 public class Test {
 5 
 6     public static void main(String[] args) throws Exception {
 7         MyNumber myNumber = new MyNumber();
 8         List<MyThread> myThreads = new ArrayList<>();
 9         for (int index = 0; index < 100; index++) {
10             MyThread myThread = new MyThread(myNumber);
11             myThreads.add(myThread);
12             myThread.start();
13         }
14         for (MyThread myThread : myThreads) {
15             myThread.join();
16         }
17         System.out.println(myNumber.value());
18     }
19 
20 }
21 
22 class MyNumber {
23     
24     private int n = 0;
25     
26     public int value() {
27         return n;
28     }
29     
30     public void increate() {
31         n = n + 1;
32     }
33     
34 }
35 
36 class MyThread extends Thread {
37     
38     private MyNumber myNumber;
39     
40     public MyThread(MyNumber myNumber) {
41         this.myNumber = myNumber;
42     }
43     
44     @Override
45     public void run() {
46         try {
47             sleep(3000);
48         } catch (InterruptedException e) {
49             e.printStackTrace();
50         }
51         
52         for (int index = 0; index < 1000; index++) {
53             myNumber.increate();
54         }
55     }
56     
57 }

线程安全的实现方法

互斥同步

1. 最基本互斥同步手段是synchronized关键字。

2. 例如，上一个线程不安全示例的解决方法如下，两种方法等价，都是对当前对象加锁。

1 public synchronized void increate() {
2     n = n + 1;
3 }

1 public void increate() {
2     synchronized (this) {
3         n = n + 1;
4     }
5 }

3. synchronized关键字是一个重量级操作，因为Java线程是映射到操作系统原生线程上的，如果要阻塞或唤醒线程，都需要操作系统完成，那么线程需要从用户态转换到核心态，状态转换会消耗很多的CPU时间。

4. 额外注意，“static synchronized”方法与“synchronized (MyClass.class) {…}”等价，都是对类的字节对象加锁。

非阻塞同步

1. 互斥同步属于悲观并发策略，非阻塞同步属于乐观并发策略。

2. 即先行操作，如果没有其他线程争用共享数据，那么算操作成功；如果共享数据有争用，产生冲突，那么再采取其他补偿措施（最常见的就是不断重试，直到成功为止）。由于无须挂起线程，所以是非阻塞的。

3. java.util.concurrent.atomic.*包下的原子类就是这个原理，核心操作是CAS（Compare and set，利用x86 CPU的CMPXCHG原子指令实现），具体由sun.misc.Unsafe实现。

4. java.util.concurrent.atomic.*包（JDK5以后）下的原子类分4组（常用已高亮）：

a) AtomicBoolean、AtomicInteger、AtomicLong，线程安全的基本类型的原子性操作。

b) AtomicIntegerArray、AtomicLongArray、AtomicReferenceArray，线程安全的数组类型的原子性操作，操作的不是整个数组，而是数组中的单个元素。

c) AtomicLongFieldUpdater、AtomicIntegerFieldUpdater、AtomicReferenceFieldUpdater，基于反射原理对象中的基本类型（长整型、整型和引用类型）进行线程安全的操作。

d) AtomicReference、AtomicMarkableReference、AtomicStampedReference，线程安全的引用类型及防止ABA问题的引用类型的原子操作。

5. 线程不安全示例的不阻塞解决方法如下。

 1 class MyNumber {
 2     
 3     private AtomicInteger n = new AtomicInteger(0);
 4     
 5     public int value() {
 6         return n.get();
 7     }
 8     
 9     public void increate() {
10         n.addAndGet(1);
11     }
12     
13 }

5. 参考资料：

a) http://www.cnblogs.com/nullzx/p/4967931.html

b) http://zl198751.iteye.com/blog/1848575

c) http://www.cnblogs.com/Mainz/p/3546347.html

无同步

如果本来就不涉及共享数据，那么就无须任何同步措施，代码天生就是线程安全的。

volatile关键字

1. volatile关键字的主要作用是使变量在多个线程间可见。

2. 每个线程都会有一块工作内存区，其中存放着所有线程共享的主内存中的变量值的拷贝。当线程执行时，它在自己的工作内存区中操作这些变量。为了存取共享变量，线程通常先获取锁定并去清除它的工作内存区，把这些共享变量从所有线程的工作内存区中正确的装入其中，当线程解锁时保证该工作内存区中的值写回到共享内存中。volatile的作用就是强制线程到主内存（共享内存）去读取变量，而不去线程工作内存区读取。

 1 public class Test {
 2 
 3     public static void main(String[] args) {
 4         MyThread myThread = new MyThread();
 5         myThread.start();
 6         try {
 7             Thread.sleep(3000);
 8         } catch (InterruptedException e) {
 9             e.printStackTrace();
10         }
11         myThread.run = false;
12         System.out.println(myThread.run);
13     }
14 
15 }
16 
17 class MyThread extends Thread {
18     
19     public volatile boolean run = true;
20     
21     @Override
22     public void run() {
23         while (run) {
24             // running
25         }
26         System.out.println(Thread.currentThread().getName() + " stoped.");
27     }
28     
29 }

3. volatile虽然保证了多个线程间的可见性，但不具备同步性。只能算轻量级的synchronized，性能要比synchronized强很多，不会造成阻塞。上一个线程不安全示例用如下方式不能保证结果正确。

 1 class MyNumber {
 2     
 3     private volatile int n = 0;// 错误代码
 4     
 5     public int value() {
 6         return n;
 7     }
 8     
 9     public void increate() {
10         n = n + 1;
11     }
12     
13 }

线程间通信

Object.wait()方法

1. 使执行instance.wait()方法的当前线程暂停，直至调用该对象instance.notify()或instance.notifyAll()方法唤醒该线程。

2. 当前线程必须先对该对象instance加锁（即synchronized）才可调用instance.wait()方法，否则抛出异常IllegalMonitorStateException。

3. 可能存在中断和虚唤醒，所以一般在循环中执行instance.wait()方法。

4. 综上三点所述，套路如下。

1 synchronized (instance) {
2     while (判断是否可占用资源) {
3         instance.wait();
4     }
5 }

5. 注意Object.wait()方法与Thread.sleep()方法的区别：wait()方法暂停时会释放synchronized的资源，而sleep()方法不会。

Object.notify()方法

1. 唤醒执行了instance.wait()方法的线程。如果存在多个这样的线程，则任意唤醒一个。

2. 当前线程必须先对该对象instance加锁（即synchronized）才可调用instance.notify()方法，否则抛出异常IllegalMonitorStateException。

3. 综上两点所述，套路如下。

1 synchronized (instance) {
2     instance.notify();
3 }

4. Object.notifyAll()方法与Object.notify()方法类似，区别是如果存在多个等待的线程，则全部唤醒。

编写线程间通信代码的套路

由于执行instance.wait()和instance.notify()方法都必须先synchronized (instance)，所以这两个方法应写在一个类中。

1 public class ExclusiveResource {    // 互斥资源
2     public synchronized void holdAndUse() {
3         while (<check resource>) {    // 检查是否可占用资源，否则等待
4             wait();
5         }
6         // 执行占用资源后的代码
7         notify();
8     }
9 }

面试题：子线程、主线程交替循环

子线程循环10次，接着主线程循环100次，接着又回到子线程循环10次，接着再回到主线程有循环100次，如此循环50次。

 1 public class Test {
 2 
 3     public static void main(String[] args) {
 4         System.out.println("--------");
 5         
 6         Looper looper = new Looper();
 7         SubThread subThread = new SubThread(looper);
 8         subThread.start();
 9         looper.main();
10     }
11 
12 }
13 
14 class SubThread extends Thread {
15     
16     private Looper looper;
17     
18     public SubThread(Looper looper) {
19         this.looper = looper;
20     }
21     
22     @Override
23     public void run() {
24         looper.sub();
25     }
26     
27 }
28 
29 class Looper {
30     
31     private boolean runSub = true;
32     
33     public void sub() {
34         for (int i = 0; i < 50; i++) {
35             synchronized (this) {
36                 while (!runSub) {
37                     try {
38                         wait();
39                     } catch (InterruptedException e) {
40                         e.printStackTrace();
41                     }
42                 }
43                 for (int j = 0; j < 10; j++) {
44                     System.out.println("子线程第" + i + "次循环" + j + "。");
45                 }
46                 runSub = false;
47                 notify();
48             }
49         }
50     }
51     
52     public void main() {
53         for (int i = 0; i < 50; i++) {
54             synchronized (this) {
55                 while (runSub) {
56                     try {
57                         wait();
58                     } catch (InterruptedException e) {
59                         e.printStackTrace();
60                     }
61                 }
62                 for (int j = 0; j < 100; j++) {
63                     System.out.println("主线程第" + i + "次循环" + j + "。");
64                 }
65                 runSub = true;
66                 notify();
67             }
68         }
69     }
70     
71 }

生产者-消费者问题

一组生产者进程和一组消费者进程共享一个初始为空、大小为 n 的缓冲区，只有缓冲区没满时，生产者才能把消息放入到缓冲区，否则必须等待；只有缓冲区不空时，消费者才能从中取出消息，否则必须等待。由于缓冲区是临界资源，它只允许一个生产者放入消息，或者一个消费者从中取出消息。

  1 import java.util.Random;
  2 import java.util.concurrent.atomic.AtomicInteger;
  3 
  4 public class Test {
  5 
  6     public static void main(String[] args) {
  7         Container container = new Container();
  8         new Producer(container).start();
  9         new Producer(container).start();
 10         new Producer(container).start();
 11         new Consumer(container).start();
 12         new Consumer(container).start();
 13     }
 14 
 15 }
 16 
 17 class Product {
 18     
 19     private static final AtomicInteger COUNT = new AtomicInteger(0);
 20     
 21     private int id;
 22     
 23     public Product() {
 24         id = COUNT.getAndIncrement();
 25     }
 26     
 27     @Override
 28     public String toString() {
 29         return "Product-" + id;
 30     }
 31     
 32 }
 33 
 34 class Container {
 35     
 36     private final static int CAPACITY = 10;
 37     
 38     private Product[] products = new Product[CAPACITY];
 39     
 40     private int size;
 41     
 42     public synchronized void push(Product product) {
 43         while (size >= CAPACITY) {
 44             try {
 45                 wait();
 46             } catch (InterruptedException e) {
 47                 e.printStackTrace();
 48             }
 49         }
 50         products[size] = product;
 51         size++;
 52         notify();
 53     }
 54     
 55     public synchronized Product pop() {
 56         while (size <= 0) {
 57             try {
 58                 wait();
 59             } catch (InterruptedException e) {
 60                 e.printStackTrace();
 61             }
 62         }
 63         size--;
 64         Product product = products[size];
 65         notify();
 66         return product;
 67     }
 68     
 69 }
 70 
 71 class Producer extends Thread {
 72     
 73     private static int count;
 74     
 75     private Container container;
 76     
 77     public Producer(Container container) {
 78         super("Producer-" + count++);
 79         this.container = container;
 80     }
 81     
 82     @Override
 83     public void run() {
 84         while (true) {
 85             Product product = new Product();
 86             System.out.println(getName() + " produced " + product);
 87             container.push(product);
 88             
 89             try {
 90                 Thread.sleep(new Random().nextInt(500));
 91             } catch (InterruptedException e) {
 92                 e.printStackTrace();
 93             }
 94         }
 95     }
 96     
 97 }
 98 
 99 class Consumer extends Thread {
100     
101     private static int count;
102     
103     private Container container;
104     
105     public Consumer(Container container) {
106         super("Consumer-" + count++);
107         this.container = container;
108     }
109     
110     @Override
111     public void run() {
112         while (true) {
113             Product product = container.pop();
114             System.out.println(getName() + " consumed " + product);
115             
116             try {
117                 Thread.sleep(new Random().nextInt(500));
118             } catch (InterruptedException e) {
119                 e.printStackTrace();
120             }
121         }
122     }
123     
124 }

哲学家进餐问题

一张圆桌上坐着 5 名哲学家，桌子上每两个哲学家之间摆了一根筷子，桌子的中间是一碗米饭。哲学家们倾注毕生精力用于思考和进餐，哲学家在思考时，并不影响他人。只有当哲学家饥饿的时候，才试图拿起左、右两根筷子（一根一根拿起）。如果筷子已在他人手上，则需等待。饥饿的哲学家只有同时拿到了两根筷子才可以开始进餐，当进餐完毕后，放下筷子继续思考。

  1 import java.util.Random;
  2 
  3 public class Test {
  4 
  5     public static void main(String[] args) {
  6         Table table = new Table();
  7         new Philosopher(table).start();
  8         new Philosopher(table).start();
  9         new Philosopher(table).start();
 10         new Philosopher(table).start();
 11         new Philosopher(table).start();
 12     }
 13 
 14 }
 15 
 16 class Chopstick {
 17     
 18     private static int count;
 19     
 20     private int id;
 21     
 22     private boolean isTakenUp;
 23     
 24     public Chopstick() {
 25         id = count++;
 26     }
 27     
 28     public boolean isTakenUp() {
 29         return isTakenUp;
 30     }
 31 
 32     public void setTakenUp(boolean isTakenUp) {
 33         this.isTakenUp = isTakenUp;
 34     }
 35 
 36     @Override
 37     public String toString() {
 38         return "Chopstick-" + id;
 39     }
 40     
 41 }
 42 
 43 class Table {
 44     
 45     private static final int CAPACITY = 5;
 46     
 47     private Chopstick[] chopsticks = new Chopstick[CAPACITY];
 48     
 49     public Table() {
 50         for (int index = 0; index < chopsticks.length; index++) {
 51             chopsticks[index] = new Chopstick();
 52         }
 53     }
 54     
 55     public synchronized void takeUp(int leftChopstickIndex, int rightChopstickIndex) {
 56         Chopstick leftChopstick = chopsticks[leftChopstickIndex];
 57         Chopstick rightChopstick = chopsticks[rightChopstickIndex];
 58         while (leftChopstick.isTakenUp() || rightChopstick.isTakenUp()) {
 59             try {
 60                 wait();
 61             } catch (InterruptedException e) {
 62                 e.printStackTrace();
 63             }
 64         }
 65         leftChopstick.setTakenUp(true);
 66         System.out.println(leftChopstick + " has been taken up.");
 67         rightChopstick.setTakenUp(true);
 68         System.out.println(rightChopstick + " has been taken up.");
 69         notifyAll();
 70     }
 71     
 72     public synchronized void putDown(int leftChopstickIndex, int rightChopstickIndex) {
 73         Chopstick leftChopstick = chopsticks[leftChopstickIndex];
 74         Chopstick rightChopstick = chopsticks[rightChopstickIndex];
 75         leftChopstick.setTakenUp(false);
 76         System.out.println(leftChopstick + " has been put down.");
 77         rightChopstick.setTakenUp(false);
 78         System.out.println(rightChopstick + " has been put down.");
 79         notifyAll();
 80     }
 81     
 82 }
 83 
 84 class Philosopher extends Thread {
 85     
 86     private static final int MAX_COUNT = 5;
 87     
 88     private static int count;
 89     
 90     private int id;
 91     
 92     private Table table;
 93     
 94     public Philosopher(Table table) {
 95         if (count >= MAX_COUNT) {
 96             throw new RuntimeException("Cannot create Philosopher instance more than " + MAX_COUNT + ".");
 97         }
 98         id = count++;
 99         setName("Philosopher-" + id);
100         this.table = table;
101     }
102 
103     @Override
104     public void run() {
105         final int leftChopstickIndex = id;
106         final int rightChopstickIndex = (id + 1) % MAX_COUNT;
107         while (true) {
108             table.takeUp(leftChopstickIndex, rightChopstickIndex);
109             System.out.println(getName() + " is eating.");
110             
111             try {
112                 Thread.sleep(new Random().nextInt(500));
113             } catch (InterruptedException e) {
114                 e.printStackTrace();
115             }
116             
117             System.out.println(getName() + " has eaten.");
118             table.putDown(leftChopstickIndex, rightChopstickIndex);
119             
120             try {
121                 Thread.sleep(new Random().nextInt(500));
122             } catch (InterruptedException e) {
123                 e.printStackTrace();
124             }
125         }
126     }
127     
128 }

读者-写者问题

有读者和写者两组并发线程，共享一个文件，当两个或以上的读线程同时访问共享数据时不会产生副作用，但若某个写线程和其他线程（读线程或写线程）同时访问共享数据时则可能导致数据不一致的错误。因此要求：

1. 允许多个读者可以同时对文件执行读操作；

2. 只允许一个写者往文件中写信息；

3. 任一写者在完成写操作之前不允许其他读者或写者工作；

4. 写者执行写操作前，应让已有的读者和写者全部退出。

  1 import java.util.HashMap;
  2 import java.util.Map;
  3 import java.util.Random;
  4 
  5 public class Test {
  6 
  7     public static void main(String[] args) {
  8         File file = new File();
  9         new Reader(file).start();
 10         new Reader(file).start();
 11         new Reader(file).start();
 12         new Writer(file).start();
 13         new Writer(file).start();
 14     }
 15 
 16 }
 17 
 18 class File {
 19     
 20     public enum Status {
 21         idle, reading, writing,
 22     }
 23     
 24     private Map<Long, Status> threadStatuses = new HashMap<>();
 25     
 26     public synchronized void beginRead() {
 27         outer: while (true) {
 28             for (Status status : threadStatuses.values()) {
 29                 if (Status.writing.equals(status)) {
 30                     try {
 31                         wait();
 32                     } catch (InterruptedException e) {
 33                         e.printStackTrace();
 34                     }
 35                     continue outer;
 36                 }
 37             }
 38             break;
 39         }
 40         threadStatuses.put(Thread.currentThread().getId(), Status.reading);
 41         notifyAll();
 42     }
 43     
 44     public synchronized void endRead() {
 45         threadStatuses.put(Thread.currentThread().getId(), Status.idle);
 46         notifyAll();
 47     }
 48     
 49     public synchronized void beginWrite() {
 50         outer: while (true) {
 51             for (Status status : threadStatuses.values()) {
 52                 if (!Status.idle.equals(status)) {
 53                     try {
 54                         wait();
 55                     } catch (InterruptedException e) {
 56                         e.printStackTrace();
 57                     }
 58                     continue outer;
 59                 }
 60             }
 61             break;
 62         }
 63         threadStatuses.put(Thread.currentThread().getId(), Status.writing);
 64         notifyAll();
 65     }
 66     
 67     public synchronized void endWrite() {
 68         threadStatuses.put(Thread.currentThread().getId(), Status.idle);
 69         notifyAll();
 70     }
 71     
 72 }
 73 
 74 class Reader extends Thread {
 75     
 76     private static int count;
 77     
 78     private File file;
 79     
 80     public Reader(File file) {
 81         super("Reader-" + count++);
 82         this.file = file;
 83     }
 84     
 85     @Override
 86     public void run() {
 87         while (true) {
 88             file.beginRead();
 89             System.out.println(Thread.currentThread().getName() + " is reading.");
 90             
 91             try {
 92                 Thread.sleep(new Random().nextInt(500));
 93             } catch (InterruptedException e) {
 94                 e.printStackTrace();
 95             }
 96             
 97             System.out.println(Thread.currentThread().getName() + " has read.");
 98             file.endRead();
 99             
100             try {
101                 Thread.sleep(new Random().nextInt(500));
102             } catch (InterruptedException e) {
103                 e.printStackTrace();
104             }
105         }
106     }
107     
108 }
109 
110 class Writer extends Thread {
111     
112     private static int count;
113     
114     private File file;
115     
116     public Writer(File file) {
117         super("Writer-" + count++);
118         this.file = file;
119     }
120     
121     @Override
122     public void run() {
123         while (true) {
124             file.beginWrite();
125             System.out.println(Thread.currentThread().getName() + " is writing.");
126             
127             try {
128                 Thread.sleep(new Random().nextInt(500));
129             } catch (InterruptedException e) {
130                 e.printStackTrace();
131             }
132             
133             System.out.println(Thread.currentThread().getName() + " has wroten.");
134             file.endWrite();
135             
136             try {
137                 Thread.sleep(new Random().nextInt(500));
138             } catch (InterruptedException e) {
139                 e.printStackTrace();
140             }
141         }
142     }
143     
144 }

线程内共享

1. ThreadLocal存放的值是线程内共享的，线程间互斥的。主要用于线程内共享数据，避免通过参数来传递，这样能优雅地解决一些实际问题。

2. ThreadLocal的原理是为每一个线程都提供了变量的副本，使得每个线程在某一时间访问到的并不是同一个对象。

3. 数据库连接工具类的举例。

 1 import java.sql.Connection;
 2 import java.sql.DriverManager;
 3 import java.sql.SQLException;
 4 
 5 public class ConnectionUtils {
 6     
 7     private static ThreadLocal<Connection> threadLocalConnection = new ThreadLocal<Connection>();
 8     
 9     public static Connection getCurrent() throws SQLException {
10         Connection connection = threadLocalConnection.get();
11         if (connection == null || connection.isClosed()) {
12             connection = DriverManager.getConnection("...");
13             threadLocalConnection.set(connection);
14         }
15         return connection;
16     }
17     
18     public static void close() throws SQLException {
19         Connection connection = threadLocalConnection.get();
20         if (connection != null && !connection.isClosed()) {
21             connection.close();
22             threadLocalConnection.remove();
23         }
24     }
25 
26 }

定时器

1. 定时器使用JDK的Timer和TimerTask；

2. 复杂的定时器可考虑使用Quartz框架。

 1 import java.util.Timer;
 2 import java.util.TimerTask;
 3 
 4 public class Test {
 5 
 6     public static void main(String[] args) {
 7         new Timer().schedule(new MyTimerTask(), 3000);;
 8     }
 9 
10 }
11 
12 class MyTimerTask extends TimerTask {
13 
14     @Override
15     public void run() {
16         System.out.println("Hello World.");
17     }
18     
19 }

JDK5新功能

线程池

1. 线程池优点：

a) 降低资源消耗：通过重复利用已创建的线程降低线程创建和销毁造成的消耗。

b) 提高响应速度：当任务到达时，任务可以不需要等到线程创建就能立即执行。

c) 提高线程的可管理性：线程是稀缺资源，如果无限制的创建，不仅会消耗系统资源，还会降低系统的稳定性，使用线程池可以进行统一的分配，调优和监控。

2. 四种线程池：

a) 固定大小线程池：Executors.newFixedThreadPool(int nThreads)。

b) 缓存线程池：Executors.newCachedThreadPool()，线程池大小随提交任务数增加而增加。

c) 单一线程池：Executors.newSingleThreadExecutor()。

d) 调度线程池：Executors.newScheduledThreadPool(int corePoolSize)，调度执行线程。

3. 关闭线程池：

a) 任务执行完毕后关闭：ExecutorService.shutdown()。

b) 不论任务是否完成立即关闭：ExecutorService.shutdownNow()。

4. 示例。

 1 import java.util.Random;
 2 import java.util.concurrent.ExecutorService;
 3 import java.util.concurrent.Executors;
 4 import java.util.concurrent.atomic.AtomicInteger;
 5 
 6 public class Test {
 7 
 8     public static void main(String[] args) {
 9         ExecutorService threadPool = Executors.newFixedThreadPool(3);
10 //        ExecutorService threadPool = Executors.newCachedThreadPool();
11 //        ExecutorService threadPool = Executors.newSingleThreadExecutor();
12         Task0 task0 = new Task0();
13         Task1 task1 = new Task1();
14         int taskCount = 20;
15         for (int index = 0; index < taskCount; index++) {
16             if (index % 2 == 0) {
17                 threadPool.execute(task0);
18             } else {
19                 threadPool.execute(task1);
20             }
21         }
22         System.out.println(taskCount + " tasks have been committed.");
23         threadPool.shutdown();
24     }
25 
26 }
27 
28 class Task0 implements Runnable {
29     
30     private AtomicInteger count = new AtomicInteger(0);
31 
32     @Override
33     public void run() {
34         System.out.println(Thread.currentThread().getName() + " is executing Task0-" + count.getAndIncrement());
35         try {
36             Thread.sleep(new Random().nextInt(500));
37         } catch (InterruptedException e) {
38             e.printStackTrace();
39         }
40 
41     }
42     
43 }
44 
45 class Task1 implements Runnable {
46     
47     private AtomicInteger count = new AtomicInteger(0);
48 
49     @Override
50     public void run() {
51         System.out.println(Thread.currentThread().getName() + " is executing Task1-" + count.getAndIncrement());
52         try {
53             Thread.sleep(new Random().nextInt(500));
54         } catch (InterruptedException e) {
55             e.printStackTrace();
56         }
57     }
58     
59 }

Callable和Future

1. Callable接口：异步任务。

2. Future接口：异步任务的结果。

 1 import java.util.Random;
 2 import java.util.concurrent.Callable;
 3 import java.util.concurrent.ExecutionException;
 4 import java.util.concurrent.ExecutorService;
 5 import java.util.concurrent.Executors;
 6 import java.util.concurrent.Future;
 7 
 8 public class Test {
 9 
10     public static void main(String[] args) throws InterruptedException, ExecutionException {
11         ExecutorService threadPool = Executors.newFixedThreadPool(3);
12         Future<Integer> future0 = threadPool.submit(new Task());
13         Future<Integer> future1 = threadPool.submit(new Task());
14         System.out.println("Two tasks have been committed.");
15         System.out.println("future0=" + future0.get());
16         System.out.println("future1=" + future1.get());
17         threadPool.shutdown();
18     }
19 
20 }
21 
22 class Task implements Callable<Integer> {
23 
24     @Override
25     public Integer call() throws Exception {
26         try {
27             Thread.sleep(new Random().nextInt(500));
28         } catch (InterruptedException e) {
29             e.printStackTrace();
30         }
31         return new Random().nextInt();
32     }
33 
34 }

3. CompletionService接口：提交一组Callable任务，哪个先执行完则先返回结果。

 1 import java.util.Random;
 2 import java.util.concurrent.Callable;
 3 import java.util.concurrent.CompletionService;
 4 import java.util.concurrent.ExecutionException;
 5 import java.util.concurrent.ExecutorCompletionService;
 6 import java.util.concurrent.ExecutorService;
 7 import java.util.concurrent.Executors;
 8 import java.util.concurrent.Future;
 9 import java.util.concurrent.atomic.AtomicInteger;
10 
11 public class Test {
12 
13     public static void main(String[] args) throws InterruptedException, ExecutionException {
14         ExecutorService threadPool = Executors.newFixedThreadPool(3);
15         CompletionService<Integer> completionService = new ExecutorCompletionService<Integer>(threadPool);
16         Task task = new Task();
17         int taskCount = 10;
18         for (int index = 0; index < taskCount; index++) {
19             completionService.submit(task);
20         }
21         for (int index = 0; index < taskCount; index++) {
22             Future<Integer> future = completionService.take();
23             System.out.println("future" + index + "=" + future.get());
24         }
25         threadPool.shutdown();
26     }
27 
28 }
29 
30 class Task implements Callable<Integer> {
31     
32     private AtomicInteger count = new AtomicInteger(0);
33 
34     @Override
35     public Integer call() throws Exception {
36         int ret = count.getAndIncrement();
37         try {
38             Thread.sleep(new Random().nextInt(500));
39         } catch (InterruptedException e) {
40             e.printStackTrace();
41         }
42         return ret;
43     }
44 
45 }

ReentrantLock

1. java.util.concurrent.locks.ReentrantLock与synchronized作用类似，只是更面向对象。

2. 注意：Lock应该与try { … } finally { … }使用，保证锁一定释放。

3. 线程不安全示例的Lock写法。

 1 class MyNumber {
 2     
 3     private Lock lock = new ReentrantLock();
 4     
 5     private int n = 0;
 6     
 7     public int value() {
 8         return n;
 9     }
10     
11     public void increate() {
12         try {
13             lock.lock();
14             n = n + 1;
15         } finally {
16             lock.unlock();
17         }
18     }
19     
20 }

ReadWriteLock

1. java.util.concurrent.locks.ReadWriteLock包含读锁和写锁，类似“读者-写者问题”中的读者和写者，即多个读锁不互斥，读锁与写锁互斥，写锁与写锁互斥。

2. “读者-写者问题”的读锁、写锁写法。

  1 import java.util.Random;
  2 import java.util.concurrent.locks.ReadWriteLock;
  3 import java.util.concurrent.locks.ReentrantReadWriteLock;
  4 
  5 public class Test {
  6 
  7     public static void main(String[] args) {
  8         File file = new File();
  9         new Reader(file).start();
 10         new Reader(file).start();
 11         new Reader(file).start();
 12         new Writer(file).start();
 13         new Writer(file).start();
 14     }
 15 
 16 }
 17 
 18 class File {
 19     
 20     private ReadWriteLock lock = new ReentrantReadWriteLock();
 21     
 22     public void beginRead() {
 23         lock.readLock().lock();
 24     }
 25     
 26     public void endRead() {
 27         lock.readLock().unlock();
 28     }
 29     
 30     public void beginWrite() {
 31         lock.writeLock().lock();
 32     }
 33     
 34     public void endWrite() {
 35         lock.writeLock().unlock();
 36     }
 37     
 38 }
 39 
 40 class Reader extends Thread {
 41     
 42     private static int count;
 43     
 44     private File file;
 45     
 46     public Reader(File file) {
 47         super("Reader-" + count++);
 48         this.file = file;
 49     }
 50     
 51     @Override
 52     public void run() {
 53         while (true) {
 54             try {
 55                 file.beginRead();
 56                 System.out.println(Thread.currentThread().getName() + " is reading.");
 57                 
 58                 try {
 59                     Thread.sleep(new Random().nextInt(500));
 60                 } catch (InterruptedException e) {
 61                     e.printStackTrace();
 62                 }
 63                 
 64                 System.out.println(Thread.currentThread().getName() + " has read.");
 65             } finally {
 66                 file.endRead();
 67             }
 68             
 69             try {
 70                 Thread.sleep(new Random().nextInt(500));
 71             } catch (InterruptedException e) {
 72                 e.printStackTrace();
 73             }
 74         }
 75     }
 76     
 77 }
 78 
 79 class Writer extends Thread {
 80     
 81     private static int count;
 82     
 83     private File file;
 84     
 85     public Writer(File file) {
 86         super("Writer-" + count++);
 87         this.file = file;
 88     }
 89     
 90     @Override
 91     public void run() {
 92         while (true) {
 93             try {
 94                 file.beginWrite();
 95                 System.out.println(Thread.currentThread().getName() + " is writing.");
 96                 
 97                 try {
 98                     Thread.sleep(new Random().nextInt(500));
 99                 } catch (InterruptedException e) {
100                     e.printStackTrace();
101                 }
102                 
103                 System.out.println(Thread.currentThread().getName() + " has wroten.");
104             } finally {
105                 file.endWrite();
106             }
107             
108             try {
109                 Thread.sleep(new Random().nextInt(500));
110             } catch (InterruptedException e) {
111                 e.printStackTrace();
112             }
113         }
114     }
115     
116 }

3. 使用ReadWriteLock优化缓存：第1个线程写，后续线程只读（类似ReentrantReadWriteLock JDK文档中的示例）。

 1 import java.util.HashMap;
 2 import java.util.Map;
 3 import java.util.Random;
 4 import java.util.concurrent.locks.ReadWriteLock;
 5 import java.util.concurrent.locks.ReentrantReadWriteLock;
 6 
 7 class Cache {
 8     
 9     private ReadWriteLock readWriteLock = new ReentrantReadWriteLock();
10     
11     private Map<Object, Object> data = new HashMap<>();
12     
13     public Object getValue(Object key) {
14         readWriteLock.readLock().lock();
15         Object value = null;
16         try {
17             value = data.get(key);
18             if (value == null) {
19                 readWriteLock.readLock().unlock();
20                 readWriteLock.writeLock().lock();
21                 try {
22                     if (value == null) {
23                         value = new Random().nextInt(1000);    // 模拟去数据库查询数据
24                     }
25                 } finally {
26                     readWriteLock.writeLock().unlock();
27                 }
28                 readWriteLock.readLock().lock();
29             }
30             
31         } finally {
32             readWriteLock.readLock().unlock();
33         }
34         return value;
35     }
36     
37 }

Condition

1. java.util.concurrent.locks.Condition类似Object.wait()和Object.notify()/Object.notifyAll()方法，实现了线程间通信。

2. “子线程、主线程交替循环”面试题的Condition写法。

 1 class Looper {
 2     
 3     private Lock lock = new ReentrantLock();
 4     
 5     private Condition condition = lock.newCondition();
 6     
 7     private boolean runSub = true;
 8     
 9     public void sub() {
10         for (int i = 0; i < 50; i++) {
11             lock.lock();
12             try {
13                 while (!runSub) {
14                     try {
15                         condition.await();
16                     } catch (InterruptedException e) {
17                         e.printStackTrace();
18                     }
19                 }
20                 for (int j = 0; j < 10; j++) {
21                     System.out.println("子线程第" + i + "次循环" + j + "。");
22                 }
23                 runSub = false;
24                 condition.signal();
25             } finally {
26                 lock.unlock();
27             }
28         }
29     }
30     
31     public void main() {
32         for (int i = 0; i < 50; i++) {
33             lock.lock();
34             try {
35                 while (runSub) {
36                     try {
37                         condition.await();
38                     } catch (InterruptedException e) {
39                         e.printStackTrace();
40                     }
41                 }
42                 for (int j = 0; j < 100; j++) {
43                     System.out.println("主线程第" + i + "次循环" + j + "。");
44                 }
45                 runSub = true;
46                 condition.signal();
47             } finally {
48                 lock.unlock();
49             }
50         }
51     }
52     
53 }

3. 与Object.wait()和Object.notify不同的是，Condition能实现多路暂停和唤醒，具体示例参考Condition JDK文档。

Semaphore

1. java.util.concurrent.Semaphore信号量可控制同时访问资源的线程个数。

2. Semaphore可以由一个线程获得锁，而由另一个线程释放锁，这可以应用与死锁恢复的场景。

3. Semaphore适合做网站流量控制，拿到信号量的线程可以进入，否则只能等待。

4. 示例。

 1 import java.util.concurrent.ExecutorService;
 2 import java.util.concurrent.Executors;
 3 import java.util.concurrent.Semaphore;
 4 
 5 public class Test {
 6 
 7     public static void main(String[] args) {
 8         ExecutorService threadPool = Executors.newCachedThreadPool();
 9         Semaphore semaphore = new Semaphore(3);
10         Task task = new Task(semaphore);
11         for (int index = 0; index < 10; index++) {
12             threadPool.execute(task);
13         }
14         threadPool.shutdown();
15     }
16 
17 }
18 
19 class Task implements Runnable {
20     
21     private Semaphore semaphore;
22     
23     public Task(Semaphore semaphore) {
24         this.semaphore = semaphore;
25     }
26 
27     @Override
28     public void run() {
29         try {
30             semaphore.acquire();
31             System.out.println(semaphore.availablePermits() + " permit(s) left.");
32             Thread.sleep(1000);
33             System.out.println(Thread.currentThread().getId() + " is done.");
34             
35         } catch (InterruptedException e) {
36             e.printStackTrace();
37         } finally {
38             semaphore.release();
39         }
40     }
41     
42 }

CyclicBarrier

1. java.util.concurrent.CyclicBarrier阻塞一组线程，直到达到指定的阻塞线程数量后才停止阻塞。类似生活中集合的场景，10小伙伴约定地点集合，先到着等待，等全都到齐才出发。

2. 示例。

 1 import java.util.Random;
 2 import java.util.concurrent.BrokenBarrierException;
 3 import java.util.concurrent.CyclicBarrier;
 4 import java.util.concurrent.ExecutorService;
 5 import java.util.concurrent.Executors;
 6 
 7 public class Test {
 8 
 9     public static void main(String[] args) {
10         ExecutorService threadPool = Executors.newCachedThreadPool();
11         CyclicBarrier cyclicBarrier = new CyclicBarrier(3);
12         Task task = new Task(cyclicBarrier);
13         for (int index = 0; index < 9; index++) {
14             threadPool.execute(task);
15         }
16         threadPool.shutdown();
17     }
18 
19 }
20 
21 class Task implements Runnable {
22     
23     private CyclicBarrier cyclicBarrier;
24     
25     public Task(CyclicBarrier cyclicBarrier) {
26         this.cyclicBarrier = cyclicBarrier;
27     }
28 
29     @Override
30     public void run() {
31         try {
32             Thread.sleep(new Random().nextInt(500));
33         } catch (InterruptedException e) {
34             e.printStackTrace();
35         }
36         System.out.println(Thread.currentThread().getName() + "执行完毕。当前等待的线程个数是" + cyclicBarrier.getNumberWaiting() + "。");
37         try {
38             cyclicBarrier.await();
39         } catch (InterruptedException e) {
40             e.printStackTrace();
41         } catch (BrokenBarrierException e) {
42             e.printStackTrace();
43         }
44     }
45     
46 }

CountDownLatch

1. java.util.concurrent.CountDownLatch倒数器，执行CountDownLatch.countDown()计数器减1，当计数器为0时，则所有等待的线程停止阻塞。

2. 可实现一个线程等待多个线程，也可实现多个线程等待一个线程。以3个运动员、1个裁判发令并统计结果为示例。

 1 import java.util.Random;
 2 import java.util.concurrent.CountDownLatch;
 3 
 4 public class Test {
 5 
 6     public static void main(String[] args) {
 7         CountDownLatch beginCountDownLatch = new CountDownLatch(1);
 8         CountDownLatch endCountDownLatch = new CountDownLatch(3);
 9         new Runner(beginCountDownLatch, endCountDownLatch).start();
10         new Runner(beginCountDownLatch, endCountDownLatch).start();
11         new Runner(beginCountDownLatch, endCountDownLatch).start();
12         new Judge(beginCountDownLatch, endCountDownLatch).start();
13     }
14 
15 }
16 
17 class Runner extends Thread {
18     
19     private CountDownLatch beginCountDownLatch;
20     
21     private CountDownLatch endCountDownLatch;
22     
23     public Runner(CountDownLatch beginCountDownLatch, CountDownLatch endCountDownLatch) {
24         this.beginCountDownLatch = beginCountDownLatch;
25         this.endCountDownLatch = endCountDownLatch;
26     }
27 
28     @Override
29     public void run() {
30         try {
31             System.out.println("Runner " + getId() + " is ready.");
32             beginCountDownLatch.await();
33             Thread.sleep(new Random().nextInt(500));
34             System.out.println("Runner " + getId() + " has run.");
35             endCountDownLatch.countDown();
36         } catch (InterruptedException e) {
37             e.printStackTrace();
38         }
39     }
40     
41 }
42 
43 class Judge extends Thread {
44     
45     private CountDownLatch beginCountDownLatch;
46     
47     private CountDownLatch endCountDownLatch;
48     
49     public Judge(CountDownLatch beginCountDownLatch, CountDownLatch endCountDownLatch) {
50         this.beginCountDownLatch = beginCountDownLatch;
51         this.endCountDownLatch = endCountDownLatch;
52     }
53 
54     @Override
55     public void run() {
56         try {
57             Thread.sleep(3000);
58             System.out.println("Judge says \"Go!\"");
59             beginCountDownLatch.countDown();
60             System.out.println("Judge is waiting for runners.");
61             endCountDownLatch.await();
62             System.out.println("Judge has waited.");
63             
64         } catch (InterruptedException e) {
65             e.printStackTrace();
66         }
67     }
68     
69 }

Exchanger

1. java.util.concurrent.Exchanger可实现两个线程间的数据交互。先执行Exchanger.exchange()方法的线程被阻塞，直到另一个线程也执行Exchanger.exchange()方法才停止，两条线程交换完数据后继续执行。

2. 示例。

 1 import java.util.Random;
 2 import java.util.UUID;
 3 import java.util.concurrent.Exchanger;
 4 
 5 public class Test {
 6 
 7     public static void main(String[] args) {
 8         Exchanger<String> exchanger = new Exchanger<String>();
 9         new MyThread(exchanger).start();
10         new MyThread(exchanger).start();
11     }
12 
13 }
14 
15 class MyThread extends Thread {
16     
17     private Exchanger<String> exchanger;
18     
19     public MyThread(Exchanger<String> exchanger) {
20         this.exchanger = exchanger;
21     }
22 
23     @Override
24     public void run() {
25         String value = UUID.randomUUID().toString();
26         System.out.println(Thread.currentThread().getName() + "准备用" + value + "交换。");
27         String newValue = null;
28         try {
29             Thread.sleep(new Random().nextInt(5000));
30             newValue = exchanger.exchange(value);
31         } catch (InterruptedException e) {
32             e.printStackTrace();
33         }
34         System.out.println(Thread.currentThread().getName() + "交换得到" + newValue + "。");
35     }
36     
37 }

BlockingQueue

1. java.util.concurrent.BlockingQueue为阻塞队列，类似“生产者-消费者问题”中的容器，“满值欲加”和“无值欲取”都会被阻塞。

2. 查JDK文档可知：

场景+操作结果	“满值欲加”	“无值欲取”	检查
抛出异常	add(e)	remove()	element()
返回值	offer(e)	poll()	peek()
阻塞	put(e)	take()	不可用

3. 固定长度阻塞队列ArrayBlockingQueue，不固定长度阻塞队列LinkedBlockingDeque。

4. “生产者-消费者问题”的BlockingQueue写法。

 1 class Container {
 2     
 3     private final static int CAPACITY = 10;
 4     
 5     private BlockingQueue<Product> blocingQueue = new ArrayBlockingQueue<Product>(CAPACITY);
 6     
 7     public void push(Product product) {
 8         try {
 9             blocingQueue.put(product);
10         } catch (InterruptedException e) {
11             e.printStackTrace();
12         }
13     }
14     
15     public Product pop() {
16         Product product = null;
17         try {
18             product = blocingQueue.take();
19         } catch (InterruptedException e) {
20             e.printStackTrace();
21         }
22         return product;
23     }
24     
25 }

5. 两个具有1个容量的阻塞队列可实现线程间通信。“子线程、主线程交替循环问题”的BlockingQueue写法。

 1 class Looper {
 2     
 3     private BlockingQueue<Integer> subBlockingQueue = new ArrayBlockingQueue<Integer>(1);
 4     
 5     private BlockingQueue<Integer> mainBlockingQueue = new ArrayBlockingQueue<Integer>(1);
 6     
 7     public Looper() {
 8         subBlockingQueue.add(1);
 9     }
10     
11     public void sub() {
12         for (int i = 0; i < 50; i++) {
13             try {
14                 subBlockingQueue.take();
15             } catch (InterruptedException e) {
16                 e.printStackTrace();
17             }
18             for (int j = 0; j < 10; j++) {
19                 System.out.println("子线程第" + i + "次循环" + j + "。");
20             }
21             mainBlockingQueue.add(1);
22         }
23     }
24     
25     public void main() {
26         for (int i = 0; i < 50; i++) {
27             try {
28                 mainBlockingQueue.take();
29             } catch (InterruptedException e) {
30                 e.printStackTrace();
31             }
32             for (int j = 0; j < 100; j++) {
33                 System.out.println("主线程第" + i + "次循环" + j + "。");
34             }
35             subBlockingQueue.add(1);
36         }
37     }
38     
39 }

并发集合

1. 并发集合与传统集合、同步集合对应关系。

传统集合（非线程安全）	同步集合（线程安全）	并发集合（线程安全）
ArrayList	Vector Collections.synchronizedCollection(...) Collections.synchronizedList(...)	CopyOnWriteArrayList
Set	Collections.synchronizedSet(...)	CopyOnWriteArraySet
TreeSet	Collections.synchronizedNavigableSet(...) Collections.synchronizedSortedSet(...)	ConcurrentSkipListSet
HashMap	Hashtable Collections.synchronizedMap(...)	ConcurrentHashMap
TreeMap	Collections.synchronizedNavigableMap(...) Collections.synchronizedSortedMap(...)	ConcurrentSkipListMap

2. 并发集合与同步集合的区别。

a) 并发集合尽量避免synchronized，提供并发性；

b) 并发集合定义了一些并发安全的复合操作，并且保证并发环境下的迭代操作不会出错。示例如下。

 1 import java.util.ArrayList;
 2 import java.util.Iterator;
 3 import java.util.List;
 4 import java.util.Vector;
 5 import java.util.concurrent.CopyOnWriteArrayList;
 6 
 7 public class Test {
 8 
 9     public static void main(String[] args) {
10 //        List<String> list = new ArrayList<>();    // 抛出ConcurrentModificationException，或结果不正确
11 //        List<String> list = new Vector<>();    // 抛出ConcurrentModificationException，或结果不正确
12         List<String> list = new CopyOnWriteArrayList<String>();
13         list.add("s1");
14         list.add("s2");
15         list.add("s3");
16         list.add("s4");
17         list.add("s5");
18         for (Iterator<String> iterator = list.iterator(); iterator.hasNext();) {
19             String current = iterator.next();
20             if ("s1".equals(current)
21                     || "s3".equals(current)
22                     || "s5".equals(current)) {
23                 list.remove(current);
24             } else {
25                 System.out.println(current);
26             }
27         }
28     }
29 
30 }

系统峰值评估

峰值参数

1. PV（Page View）：网站的总访问量、页面浏览量或点击量，用户每刷新一次就会被记录一次。

2. UV（Unique Visitor）：访问网站的一台电脑客户端为一个访客。一般来讲，时间上以00:00至24:00之间相同IP的客户端只记录一次。

3. QPS（Query Per Second）：每秒查询数。QPS很大程度上代表了系统业务上的繁忙程度，每次查询的背后，可能对应着多次磁盘I/O，多次网络请求，多次CPU时间片等。通过QPS可以非常直观的了解当前系统业务情况，一旦当前QPS超过所设定的预警阀值，可以考虑增加机器对集群扩容，以免压力过大导致宕机。可以根据前期的压力测试得到估值，在结合后期综合运维情况，估算出阀值。

4. RT（Response Time）：请求的响应时间。这个指标非常关键，直接说明前端用户的体验，任何系统设计师都想降低RT。

5. 还有设计CPU、内存、网络、磁盘等情况的参数。

评估方法

1. 一般通过开发、运维、测试以及业务等相关人员，综合出系统的一系列阀值，然后根据关键阀值（如QPS、RT等）对系统进行有效变更。

2. 进行多轮压力测试以后，可以对系统进行峰值评估，采用80/20原则，即80%的PV将在20%的时间内达到。这样计算出系统峰值QPS：

峰值QPS = ( 总PV * 80% ) / ( 60 * 60 * 24 * 20% )

总峰值QPS除以单台机器所能承受的最高QPS就是须要的机器数量：

机器数 = 总峰值QPS / 压测得出的单机极限QPS

还要考虑大型促销活动和双十一、双十二热点事件、遭受DDoS攻击等情况，系统的开发和维护人急需了解当前系统运行的状态和负载情况。

作者：netoxi
出处：http://www.cnblogs.com/netoxi
本文版权归作者和博客园共有，欢迎转载，未经同意须保留此段声明，且在文章页面明显位置给出原文连接。欢迎指正与交流。

posted on 2017-07-18 16:56 netoxi 阅读(567) 评论(0) 编辑收藏举报

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