有人能告诉我同步方法比同步块的优势与一个例子吗?
当前回答
同步方法可以使用反射API进行检查。这对于测试某些契约很有用,比如模型中的所有方法都是同步的。
下面的代码段打印哈希表的所有同步方法:
for (Method m : Hashtable.class.getMethods()) {
if (Modifier.isSynchronized(m.getModifiers())) {
System.out.println(m);
}
}
其他回答
Synchronizing with threads. 1) NEVER use synchronized(this) in a thread it doesn't work. Synchronizing with (this) uses the current thread as the locking thread object. Since each thread is independent of other threads, there is NO coordination of synchronization. 2) Tests of code show that in Java 1.6 on a Mac the method synchronization does not work. 3) synchronized(lockObj) where lockObj is a common shared object of all threads synchronizing on it will work. 4) ReenterantLock.lock() and .unlock() work. See Java tutorials for this.
The following code shows these points. It also contains the thread-safe Vector which would be substituted for the ArrayList, to show that many threads adding to a Vector do not lose any information, while the same with an ArrayList can lose information. 0) Current code shows loss of information due to race conditions A) Comment the current labeled A line, and uncomment the A line above it, then run, method loses data but it shouldn't. B) Reverse step A, uncomment B and // end block }. Then run to see results no loss of data C) Comment out B, uncomment C. Run, see synchronizing on (this) loses data, as expected. Don't have time to complete all the variations, hope this helps. If synchronizing on (this), or the method synchronization works, please state what version of Java and OS you tested. Thank you.
import java.util.*;
/** RaceCondition - Shows that when multiple threads compete for resources
thread one may grab the resource expecting to update a particular
area but is removed from the CPU before finishing. Thread one still
points to that resource. Then thread two grabs that resource and
completes the update. Then thread one gets to complete the update,
which over writes thread two's work.
DEMO: 1) Run as is - see missing counts from race condition, Run severa times, values change
2) Uncomment "synchronized(countLock){ }" - see counts work
Synchronized creates a lock on that block of code, no other threads can
execute code within a block that another thread has a lock.
3) Comment ArrayList, unComment Vector - See no loss in collection
Vectors work like ArrayList, but Vectors are "Thread Safe"
May use this code as long as attribution to the author remains intact.
/mf
*/
public class RaceCondition {
private ArrayList<Integer> raceList = new ArrayList<Integer>(); // simple add(#)
// private Vector<Integer> raceList = new Vector<Integer>(); // simple add(#)
private String countLock="lock"; // Object use for locking the raceCount
private int raceCount = 0; // simple add 1 to this counter
private int MAX = 10000; // Do this 10,000 times
private int NUM_THREADS = 100; // Create 100 threads
public static void main(String [] args) {
new RaceCondition();
}
public RaceCondition() {
ArrayList<Thread> arT = new ArrayList<Thread>();
// Create thread objects, add them to an array list
for( int i=0; i<NUM_THREADS; i++){
Thread rt = new RaceThread( ); // i );
arT.add( rt );
}
// Start all object at once.
for( Thread rt : arT ){
rt.start();
}
// Wait for all threads to finish before we can print totals created by threads
for( int i=0; i<NUM_THREADS; i++){
try { arT.get(i).join(); }
catch( InterruptedException ie ) { System.out.println("Interrupted thread "+i); }
}
// All threads finished, print the summary information.
// (Try to print this informaiton without the join loop above)
System.out.printf("\nRace condition, should have %,d. Really have %,d in array, and count of %,d.\n",
MAX*NUM_THREADS, raceList.size(), raceCount );
System.out.printf("Array lost %,d. Count lost %,d\n",
MAX*NUM_THREADS-raceList.size(), MAX*NUM_THREADS-raceCount );
} // end RaceCondition constructor
class RaceThread extends Thread {
public void run() {
for ( int i=0; i<MAX; i++){
try {
update( i );
} // These catches show when one thread steps on another's values
catch( ArrayIndexOutOfBoundsException ai ){ System.out.print("A"); }
catch( OutOfMemoryError oome ) { System.out.print("O"); }
}
}
// so we don't lose counts, need to synchronize on some object, not primitive
// Created "countLock" to show how this can work.
// Comment out the synchronized and ending {, see that we lose counts.
// public synchronized void update(int i){ // use A
public void update(int i){ // remove this when adding A
// synchronized(countLock){ // or B
// synchronized(this){ // or C
raceCount = raceCount + 1;
raceList.add( i ); // use Vector
// } // end block for B or C
} // end update
} // end RaceThread inner class
} // end RaceCondition outter class
注意:静态同步方法和块工作在Class对象上。
public class MyClass {
// locks MyClass.class
public static synchronized void foo() {
// do something
}
// similar
public static void foo() {
synchronized(MyClass.class) {
// do something
}
}
}
同步的方法
优点:
您的IDE可以指示同步方法。 语法更加紧凑。 强制将同步块分割为单独的方法。
缺点:
与此同步,因此外部人员也可以与之同步。 将代码移到同步块之外更加困难。
同步块
优点:
允许为锁使用私有变量,从而将锁强制留在类内部。 同步块可以通过搜索变量的引用来找到。
缺点:
语法更复杂,因此使代码更难阅读。
就我个人而言,我更喜欢使用同步方法,类只关注需要同步的东西。这样的类应该尽可能小,所以应该很容易检查同步。其他人不需要关心同步。
大多数情况下,我使用它来同步对列表或映射的访问,但我不想阻止对对象的所有方法的访问。
在下面的代码中,修改列表的线程不会阻塞等待正在修改映射的线程。如果方法在对象上是同步的,那么每个方法都必须等待,即使它们所做的修改不会冲突。
private List<Foo> myList = new ArrayList<Foo>();
private Map<String,Bar) myMap = new HashMap<String,Bar>();
public void put( String s, Bar b ) {
synchronized( myMap ) {
myMap.put( s,b );
// then some thing that may take a while like a database access or RPC or notifying listeners
}
}
public void hasKey( String s, ) {
synchronized( myMap ) {
myMap.hasKey( s );
}
}
public void add( Foo f ) {
synchronized( myList ) {
myList.add( f );
// then some thing that may take a while like a database access or RPC or notifying listeners
}
}
public Thing getMedianFoo() {
Foo med = null;
synchronized( myList ) {
Collections.sort(myList);
med = myList.get(myList.size()/2);
}
return med;
}
唯一真正的区别是同步块可以选择在哪个对象上同步。同步方法只能使用'this'(或同步类方法的相应Class实例)。例如,它们在语义上是等价的:
synchronized void foo() {
...
}
void foo() {
synchronized (this) {
...
}
}
后者更灵活,因为它可以竞争任何对象(通常是成员变量)的关联锁。它也更细粒度,因为您可以在块之前和块之后执行并发代码,但仍然在方法中。当然,您也可以通过将并发代码重构为单独的非同步方法来轻松地使用同步方法。使用任何使代码更容易理解的方法。
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