Collections.synchronizedMap()、ConcurrentHashMap、Hashtable之间的区别

为什么要比较Hashtable、SynchronizedMap()、ConcurrentHashMap之间的关系?因为常用的HashMap是非线程安全的,不能满足在多线程高并发场景下的需求。

那么为什么说HashTable是线程不安全的?具体参阅关于java集合类HashMap的理解

如何线程安全的使用HashMap

了解了 HashMap 为什么线程不安全,那现在看看如何线程安全的使用 HashMap。这个无非就是以下三种方式:

  • Hashtable
  • ConcurrentHashMap
  • Synchronized Map

Hashtable

那先说说Hashtable,Hashtable源码中是使用 synchronized 来保证线程安全的,比如下面的 get 方法和 put 方法:

public synchronized V get(Object key) {
// 省略实现
}
public synchronized V put(K key, V value) {
// 省略实现
}

所以当一个线程访问 HashTable 的同步方法时,其他线程如果也要访问同步方法,会被阻塞住。举个例子,当一个线程使用 put 方法时,另一个线程不但不可以使用 put 方法,连 get 方法都不可以,好霸道啊!!!so~~,效率很低,现在基本不会选择它了。

Collections.synchronizedMap()

看了一下源码,synchronizedMap()的实现还是很简单的。

 // synchronizedMap方法
public static <K,V> Map<K,V> synchronizedMap(Map<K,V> m) {
return new SynchronizedMap<>(m);
}
// SynchronizedMap类
private static class SynchronizedMap<K,V>
implements Map<K,V>, Serializable {
private static final long serialVersionUID = 1978198479659022715L; private final Map<K,V> m; // Backing Map
final Object mutex; // Object on which to synchronize SynchronizedMap(Map<K,V> m) {
this.m = Objects.requireNonNull(m);
mutex = this;
} SynchronizedMap(Map<K,V> m, Object mutex) {
this.m = m;
this.mutex = mutex;
} public int size() {
synchronized (mutex) {return m.size();}
}
public boolean isEmpty() {
synchronized (mutex) {return m.isEmpty();}
}
public boolean containsKey(Object key) {
synchronized (mutex) {return m.containsKey(key);}
}
public boolean containsValue(Object value) {
synchronized (mutex) {return m.containsValue(value);}
}
public V get(Object key) {
synchronized (mutex) {return m.get(key);}
} public V put(K key, V value) {
synchronized (mutex) {return m.put(key, value);}
}
public V remove(Object key) {
synchronized (mutex) {return m.remove(key);}
}
// 省略其他方法
}

从源码中可以看出调用 synchronizedMap() 方法后会返回一个 SynchronizedMap 类的对象,而在 SynchronizedMap 类中使用了 synchronized 同步关键字来保证对 Map 的操作是线程安全的。

ConcurrentHashMap

Spring的源码中有很多使用ConcurrentHashMap的地方。具体参阅》》》》》》》》。需要注意的是,上面博客是基于 Java 7 的,和8有区别,在8中 CHM 摒弃了 Segment(锁段)的概念,而是启用了一种全新的方式实现,利用CAS算法。

下面通过一个具体例子看看Collections.synchronizedMap()和ConcurrentHashMap哪个性能更高。

 public class Test {

     public final static int THREAD_POOL_SIZE = 5;

     public static Map<String, Integer> crunchifyHashTableObject = null;
public static Map<String, Integer> crunchifySynchronizedMapObject = null;
public static Map<String, Integer> crunchifyConcurrentHashMapObject = null; public static void main(String[] args) throws InterruptedException { // Test with Hashtable Object
crunchifyHashTableObject = new Hashtable<>();
crunchifyPerformTest(crunchifyHashTableObject); // Test with synchronizedMap Object
crunchifySynchronizedMapObject = Collections.synchronizedMap(new HashMap<String, Integer>());
crunchifyPerformTest(crunchifySynchronizedMapObject); // Test with ConcurrentHashMap Object
crunchifyConcurrentHashMapObject = new ConcurrentHashMap<>();
crunchifyPerformTest(crunchifyConcurrentHashMapObject); } public static void crunchifyPerformTest(final Map<String, Integer> crunchifyThreads) throws InterruptedException { System.out.println("Test started for: " + crunchifyThreads.getClass());
long averageTime = 0;
for (int i = 0; i < 5; i++) { long startTime = System.nanoTime();
ExecutorService crunchifyExServer = Executors.newFixedThreadPool(THREAD_POOL_SIZE); for (int j = 0; j < THREAD_POOL_SIZE; j++) {
crunchifyExServer.execute(new Runnable() {
@SuppressWarnings("unused")
@Override
public void run() { for (int i = 0; i < 500000; i++) {
Integer crunchifyRandomNumber = (int) Math.ceil(Math.random() * 550000); // Retrieve value. We are not using it anywhere
Integer crunchifyValue = crunchifyThreads.get(String.valueOf(crunchifyRandomNumber)); // Put value
crunchifyThreads.put(String.valueOf(crunchifyRandomNumber), crunchifyRandomNumber);
}
}
});
} // Make sure executor stops
crunchifyExServer.shutdown(); // Blocks until all tasks have completed execution after a shutdown request
crunchifyExServer.awaitTermination(Long.MAX_VALUE, TimeUnit.DAYS); long entTime = System.nanoTime();
long totalTime = (entTime - startTime) / 1000000L;
averageTime += totalTime;
System.out.println("2500K entried added/retrieved in " + totalTime + " ms");
}
System.out.println("For " + crunchifyThreads.getClass() + " the average time is " + averageTime / 5 + " ms\n");
}
}

Collections.synchronizedMap()、ConcurrentHashMap、Hashtable之间的区别

结果显示,ConcurrentHashMap性能是明显优于Hashtable和SynchronizedMap的,ConcurrentHashMap花费的时间比前两个的一半还少。

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