java 中ThreadLocal实例分析
从概念上理解,threadlocal使变量在多个线程中相互隔离实现线程安全,threadlocal包装的变量最终都专属于对应的每个线程,线程之间相互独立,用一个具体实现来说明:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
|
public interface Consumer {
int consume();
}
public class ComsumeThread implements Runnable {
private Consumer consumer;
public ComsumeThread(Consumer consumer) {
this .consumer = consumer;
}
@Override
public void run() {
for ( int i= 0 ;i< 10 ;i++){
System.out.println(Thread.currentThread().getName()+ " After Consume left:" +consumer.consume());
}
}
}
public class ConsumeClientA implements Consumer {
private static int leftNum = 30 ;
@Override
public int consume() {
int orgLeftNum = leftNum;
Random random = new Random(System.currentTimeMillis());
try {
Thread.sleep(random.nextInt( 3 ));
} catch (InterruptedException e) {
e.printStackTrace();
}
orgLeftNum = orgLeftNum - 1 ;
leftNum = orgLeftNum;
return leftNum;
}
public static void main(String[] args){
Consumer consumer = new ConsumeClientA();
Thread thread1 = new Thread( new ComsumeThread(consumer));
Thread thread2 = new Thread( new ComsumeThread(consumer));
Thread thread3 = new Thread( new ComsumeThread(consumer));
thread1.start();
thread2.start();
thread3.start();
}
}
|
ConsumeClientA是在没有做任何线程安全处理,结果如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
|
Thread- 2 After Consume left: 29
Thread- 1 After Consume left: 29
Thread- 3 After Consume left: 29
Thread- 2 After Consume left: 28
Thread- 1 After Consume left: 28
Thread- 3 After Consume left: 28
Thread- 2 After Consume left: 27
Thread- 1 After Consume left: 27
Thread- 2 After Consume left: 26
Thread- 3 After Consume left: 27
Thread- 1 After Consume left: 25
Thread- 2 After Consume left: 25
Thread- 3 After Consume left: 25
Thread- 1 After Consume left: 24
Thread- 2 After Consume left: 24
Thread- 3 After Consume left: 24
Thread- 1 After Consume left: 23
Thread- 2 After Consume left: 23
Thread- 3 After Consume left: 23
Thread- 1 After Consume left: 22
Thread- 2 After Consume left: 22
Thread- 3 After Consume left: 22
Thread- 1 After Consume left: 21
Thread- 2 After Consume left: 21
Thread- 3 After Consume left: 21
Thread- 1 After Consume left: 20
Thread- 2 After Consume left: 20
Thread- 3 After Consume left: 20
Thread- 1 After Consume left: 19
Thread- 3 After Consume left: 18
|
增加threadlocal处理,每个线程相互独立,实现如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
|
public class ConsumeClientB implements Consumer {
private ThreadLocal<Integer> leftNumThreadLocal = new ThreadLocal<Integer>(){
@Override
protected Integer initialValue() {
return 30 ;
}
};
@Override
public int consume() {
int orgLeftNum = leftNumThreadLocal.get();
Random random = new Random(System.currentTimeMillis());
try {
Thread.sleep(random.nextInt( 3 ));
} catch (InterruptedException e) {
e.printStackTrace();
}
orgLeftNum = orgLeftNum - 1 ;
leftNumThreadLocal.set(orgLeftNum);
return leftNumThreadLocal.get();
}
public static void main(String[] args){
Consumer consumer = new ConsumeClientB();
Thread thread1 = new Thread( new ComsumeThread(consumer));
Thread thread2 = new Thread( new ComsumeThread(consumer));
Thread thread3 = new Thread( new ComsumeThread(consumer));
thread1.start();
thread2.start();
thread3.start();
}
}
|
运行的结果如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
|
Thread- 1 After Consume left: 29
Thread- 3 After Consume left: 29
Thread- 2 After Consume left: 29
Thread- 1 After Consume left: 28
Thread- 3 After Consume left: 28
Thread- 2 After Consume left: 28
Thread- 1 After Consume left: 27
Thread- 3 After Consume left: 27
Thread- 2 After Consume left: 27
Thread- 1 After Consume left: 26
Thread- 3 After Consume left: 26
Thread- 2 After Consume left: 26
Thread- 1 After Consume left: 25
Thread- 3 After Consume left: 25
Thread- 2 After Consume left: 25
Thread- 1 After Consume left: 24
Thread- 3 After Consume left: 24
Thread- 2 After Consume left: 24
Thread- 1 After Consume left: 23
Thread- 3 After Consume left: 23
Thread- 2 After Consume left: 23
Thread- 1 After Consume left: 22
Thread- 3 After Consume left: 22
Thread- 2 After Consume left: 22
Thread- 1 After Consume left: 21
Thread- 3 After Consume left: 21
Thread- 2 After Consume left: 21
Thread- 1 After Consume left: 20
Thread- 3 After Consume left: 20
Thread- 2 After Consume left: 20
|
每个线程拥有自己的独立变量,相互隔离实现线程安全。
那ThreadLocal是怎样实现这种线程隔离的线程安全的呢?
从ThreadLocal源码可以看到,真正实现线程隔离,与线程挂钩的,其实是ThreadLocal.ThreadLocalMap这个实现类,最明显的体现就在于Thread类源码的这样一个变量申明说明了ThreadLocal.ThreadLocalMap与Thread的关系:
1
|
ThreadLocal.ThreadLocalMap threadLocals, inheritableThreadLocals;
|
Thread类是包含threadLocals对象的,ThreadLocal的具体实现就是根据提供的get,set等接口,对当前thread的threadLocals变量进行相关操作的,如get操作代码如下:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
|
public T get() {
Thread t = Thread.currentThread();
ThreadLocalMap map = getMap(t);
if (map != null ) {
ThreadLocalMap.Entry e = map.getEntry( this );
if (e != null )
return (T)e.value;
}
return setInitialValue();
}
ThreadLocal.ThreadLocalMap getMap(Thread t) {
return t.threadLocals;
}
|
可以看到,getMap()方法就是从当前thread获取对应的threadLocals变量,然后从这个ThreadLocal.ThreadLocalMap类型的threadLocals变量中获取对应线程中该ThreadLocal对象对应的变量值。
set方法的操作也是一样:
1
2
3
4
5
6
7
8
9
10
11
12
13
14
|
public void set(T value) {
Thread t = Thread.currentThread();
ThreadLocal.ThreadLocalMap map = getMap(t);
if (map != null ) {
map.set( this , value);
} else {
this .createMap(t, value);
}
}
void createMap(Thread t, T firstValue) {
t.threadLocals = new ThreadLocalMap( this , firstValue);
}
|
1
2
3
4
5
6
7
8
|
static class Entry extends WeakReference<ThreadLocal> {
Object value;
Entry(ThreadLocal var1, Object var2) {
super (var1);
this .value = var2;
}
}
|
ThreadLocalMap中存的是内部类Entry的数组,Entry是继承WeakReference实现,WeakReference的好处是保存对象引用,而又不干扰该对象被GC回收,线程执行完回收threadLocals变量时不会受到Entry封装的变量的干扰。
而且ThreadLocalMap中的key是ThreadLocal,所以一个ThreadLocal对象只能在一个Thread对象中保存一个ThreadLocal的value。
综上,很多人说ThreadLocal的实现是ThreadLocalMap中存Thread对象为key,变量为value的map结构,其实是错误的。
感谢阅读,希望能帮助到大家,谢谢大家对本站的支持!
原文链接:http://blog.csdn.net/jamesjxin/article/details/45173201