I need this threads that have access to the same data to be execute simultaneously without messing around with each other, so instead using Thread.join() I've been trying with synchronized methods. Problem is that I see no change at all, it keep giving me the same result that I had before using them. I don't even know what exactly I'm doing wrong, synchronized
methods suppose to prevent other synchronized methods to execute until they are done, right? Hope you can give me some clue about what is goin' on.
public class ThreadSync{
public static void main(String[] args) throws InterruptedException {
//if execute properly
//output can't be other than 0
while(true) {
ChangeValue counter = new ChangeValue();
Threads t = new Threads(counter,"up");
Threads t2 = new Threads(counter,"down");
Threads t3 = new Threads(counter,"print");
t.start();
t2.start();
t3.start();
}
}
}
class Threads extends Thread{
Threads(ChangeValue obj, String act){
counter = obj;
action = act;
}
#Override
public void run() {
switch(action) {
case ("up"): counter.up(); break;
case ("down"): counter.down(); break;
case ("print"): counter.print(); break;
}
}
ChangeValue counter;
String action;
}
class ChangeValue{
public synchronized void up() { value++; }
public synchronized void down() { value--; }
public synchronized void print() { System.out.println(value); }
public int value = 0;
}
The synchronization just ensures that the methods are not executed at the same time. However, it does not guarantee any execution order.
You need to ensure that print() is not executed before the other threads have terminated. This could be achieved by joining the threads. To do so, execute
t.join();
t2.join();
either before starting the print thread or before executing its logic.
Note that the synchronization is still sensible because it ensures that the increment and decrement operations are executed atomically. That is, that reading, incrementing, and writing count when executing count++ are executed at once
(see also: Why is i++ not atomic?). Thereby it prevents the following execution sequence:
[Thread "up"]: load count with value 0
[Thread "down"]: load count with value 0
[Thread "up"]: increment count to 1
[Thread "down"]: decrement count to -1
[Thread "up"]: store count with value 1
[Thread "down"]: store count with value -1
(This is a "lost update" in database terms.)
synchronized prevens your thread from accessing the field simultaneously, but of course it provides no guarantee regarding the order in which the threads execute.
For example, if, by pure chance, the "Up" thread executes first, the "Print" thread second and the "Down" thread last, the output will be 1, even though the counter value is 0 after all threads are finished.
Related
Consider the following simple example:
public class Example extends Thread {
private int internalNum;
public void getNum() {
if (internalNum > 1)
System.out.println(internalNum);
else
System.out.println(1000);
}
public synchronized modifyNum() {
internalNum += 1;
}
public void run() {
// Some code
}
}
Let's say code execution is split in two threads. Hypothetically, following sequence of events occurs:
First thread accesses the getNum method and caches the internalNum which is 0 at the moment.
At the very same time second thread accesses modifyNum method acquiring the lock, changes the internalNum to 1 and exits releasing the lock.
Now, first thread continues it execution and prints the internalNum.
The question is what will get printed on the console?
My guess is that this hypothetical example will result in 1000 being printed on the console because read and write flushes are only forced on a particular thread when entering or leaving the synchronized block. Therefore, first thread will happily use it's cached value, not knowing it was changed.
I am aware that making internalNum volatile would solve the possible issue, however I am only wondering weather it is really necessary.
Let's say code execution is split in two threads.
It doesn't exit. However a ressource (method, fields) may be accessed in concurrent way by two threads.
I think you mix things. Your class extends Thread but your question is about accessing to a resource of a same instance by concurrent threads.
Here is the code adapted to your question.
A shared resource between threads :
public class SharedResource{
private int internalNum;
public void getNum() {
if (internalNum > 1)
System.out.println(internalNum);
else
System.out.println(1000);
}
public synchronized modifyNum() {
internalNum += 1;
}
public void run() {
// Some code
}
}
Threads and running code :
public class ThreadForExample extends Thread {
private SharedResource resource;
public ThreadForExample(SharedResource resource){
this.resource=resource;
}
public static void main(String[] args){
SharedResource resource = new SharedResource();
ThreadForExample t1 = new ThreadForExample(resource);
ThreadForExample t2 = new ThreadForExample(resource);
t1.start();
t2.start();
}
}
Your question :
Hypothetically, following sequence of events occurs:
First thread accesses the getNum method and caches the internalNum
which is 0 at the moment. At the very same time second thread accesses
modifyNum method acquiring the lock, changes the internalNum to 1 and
exits releasing the lock. Now, first thread continues it execution and
prints the internalNum
In your scenario you give the impression that the modifyNum() method execution blocks the other threads to access to non synchronized methods but it is not the case.
getNum() is not synchronized. So, threads don't need to acquire the lock on the object to execute it. In this case, the output depends simply of which one thread has executed the instruction the first :
internalNum += 1;
or
System.out.println(internalNum);
I am unable to understand that if my variable is both volatile and static then why threads are not reflecting the common shared value in the output
Output of last few lines is :
Thread is running
4998Thread-0
Thread is running
4999Thread-0
Thread is running
4899Thread-1
Thread is running
public class Test implements Runnable{
volatile static int i=0;
#Override
public void run() {
for(;i<5000;i++)
{ try {
Thread t = Thread.currentThread();
String name = t.getName();
// Thread.sleep(10);
System.out.println(i+name);
} catch (Exception ex) {
ex.printStackTrace();
}
System.out.println("Thread is running");
}}
public static void main(String[] args) {
Test t=new Test();
Thread t1=new Thread(t);
Thread t2=new Thread(t);
t1.start();
// t.run();
t2.start();
}
}
You can't use a compound (multi step) operation like i++ on a volatile variable.
You can have both threads retrieve the value, increase it, and write it back resulting in one lost increment (as you see in your example).
Volatile ensures that changes to the variable are visible to other threads. But it does not ensure synchronization.
From one execution of your program I get this output :
Thread is running
3474Thread-1
Thread is running
3475Thread-0
Thread is running
3477Thread-0
(.... many lines where i goes from 3478 to 4998, with Thread-0 always being the one running...)
Thread is running
4999Thread-0
Thread is running
3476Thread-1
Thread is running
This happens because threads get slices of processor time to be run and their execution can be paused and resumed at any point.
Here Thread-1 is executing line "System.out.println(i+name);" with i having a value of 3476. i+name is evaluated to "3476Thread-1" but just then the Thread-1 execution stops and instead Thread-0 gets its time slice. Thread-0 executes till finalization. And then Thread-1 gets again to execute. We have left it after i+name had been evaluated to "3476Thread-1" and before the call to println. The call is now completed and printed, hence you see "3476Thread-1" at then end. i has been increased to 5000 by Thread-0 but that does not change the result of the evaluation of i+name which was done before all those increases.
The problem is that i++ and i+name are different instructions and thread execution can be paused and resumed between them. To ensure that you get a secuential output you need to ensure than there is no interruption between i++ and i+name. That is, you need to make that set of instructions atomic.
public class Test implements Runnable{
static Object lock = new Object();
volatile static int i=0;
#Override
public void run() {
for(;;)
{
try {
Thread t = Thread.currentThread();
String name = t.getName();
synchronized( lock )
{
if ( i>=5000 )
break;
i++;
System.out.println(i+name);
}
// Thread.sleep(10);
} catch (Exception ex) {
ex.printStackTrace();
System.out.println("Thread is running");
}
} }
public static void main(String[] args) {
Test t=new Test();
Thread t1=new Thread(t);
Thread t2=new Thread(t);
t1.start();
// t.run();
t2.start();
}
}
In that program, if Thread-1 gets paused between i++ and i+name it will be inside the a critical section controlled by synchronized(lock). When Thread-0 gets to execute it will reach the synchronized(lock) instruction and will have to stop executing until Thread-1 resumes and gets out of that block. Because the JLS ensures that :
The synchronized statement (ยง14.19) computes a reference to an object;
it then attempts to perform a lock action on that object's monitor and
does not proceed further until the lock action has successfully
completed. After the lock action has been performed, the body of the
synchronized statement is executed. If execution of the body is ever
completed, either normally or abruptly, an unlock action is
automatically performed on that same monitor.
Here's a code snippet I learned usage of volatile keyword from:
import java.util.concurrent.TimeUnit;
public class VolatileDemo {
private volatile static boolean stop; //remove volatile keyword to see the difference
private static int i = 0;
public static void main(String[] args) throws InterruptedException {
Thread otherThread = new Thread(new Runnable() {
public void run() {
while (!stop)
i++;
}
});
otherThread.start();
TimeUnit.SECONDS.sleep(1);
stop = true;// main thread stops here and should stop otherThread as well
}
}
If you want to observe what volatile does, try to remove it and then follow the execution, this should be obvious after you run those two versions, but basically keyword here prevents java compiler from assuming that stop condition never changes, it will be read every time the condition gets evaluated. Neat, isn't it?
By looking at your code the problem isn't with usage of volatile keyword, the problem is that the expression i++ is not atomic. It actually is 3 step operation:
1) fetch value of i;
2) increment i;
3) save new value of i
When multi-threading comes into play, these might or might not be mixed with other thread's instructions.
So the execution might look like that as well:
1) T1: fetch i;
2) T2: fetch i;
3) T1: increment i;
4) T2: increment i;
5) T1: save i;
6) T2: save i;
If i was 0 you thought you will get 2 as the output, and here's 1 instead.
Go with synchronization, which is pretty simple when not overused and well thought.
Suggested read on synchronization
If two threads are both reading and writing to a shared variable, then using the volatile keyword for that is not enough. You need to use synchronization in that case to guarantee that the reading and writing of the variable is atomic.
Therefore you need to use synchronization when you modify the i value.
public class MyStack2 {
private int[] values = new int[10];
private int index = 0;
public synchronized void push(int x) {
if (index <= 9) {
values[index] = x;
Thread.yield();
index++;
}
}
public synchronized int pop() {
if (index > 0) {
index--;
return values[index];
} else {
return -1;
}
}
public synchronized String toString() {
String reply = "";
for (int i = 0; i < values.length; i++) {
reply += values[i] + " ";
}
return reply;
}
}
public class Pusher extends Thread {
private MyStack2 stack;
public Pusher(MyStack2 stack) {
this.stack = stack;
}
public void run() {
for (int i = 1; i <= 5; i++) {
stack.push(i);
}
}
}
public class Test {
public static void main(String args[]) {
MyStack2 stack = new MyStack2();
Pusher one = new Pusher(stack);
Pusher two = new Pusher(stack);
one.start();
two.start();
try {
one.join();
two.join();
} catch (InterruptedException e) {
}
System.out.println(stack.toString());
}
}
Since the methods of MyStack2 class are synchronised, I was expecting the output as
1 2 3 4 5 1 2 3 4 5. But the output is indeterminate. Often it gives : 1 1 2 2 3 3 4 4 5 5
As per my understanding, when thread one is started it acquires a lock on the push method. Inside push() thread one yields for sometime. But does it release the lock when yield() is called? Now when thread two is started, would thread two acquire a lock before thread one completes execution? Can someone explain when does thread one release the lock on stack object?
A synchronized method will only stop other threads from executing it while it is being executed. As soon as it returns other threads can (and often will immediately) get access.
The scenario to get your 1 1 2 2 ... could be:
Thread 1 calls push(1) and is allowed in.
Thread 2 calls push(1) and is blocked while Thread 1 is using it.
Thread 1 exits push(1).
Thread 2 gains access to push and pushes 1 but at the same time Thread 1 calls push(2).
Result 1 1 2 - you can clearly see how it continues.
When you say:
As per my understanding, when thread one is started it acquires a lock on the push method.
that is not quite right, in that the lock isn't just on the push method. The lock that the push method uses is on the instance of MyStack2 that push is called on. The methods pop and toString use the same lock as push. When a thread calls any of these methods on an object, it has to wait until it can acquire the lock. A thread in the middle of calling push will block another thread from calling pop. The threads are calling different methods to access the same data structure, using the same lock for all the methods that access the structure prevents the threads from accessing the data structure concurrently.
Once a thread gives up the lock on exiting a synchronized method the scheduler decides which thread gets the lock next. Your threads are acquiring locks and letting them go multiple times, every time a lock is released there is a decision for the scheduler to make. You can't make any assumptions about which will get picked, it can be any of them. Output from multiple threads is typically jumbled up.
It seems like you may have some confusion on exactly what the synchronized and yield keywords mean.
Synchronized means that only one thread can enter that code block at a time. Imagine it as a gate and you need a key to get through. Each thread as it enters takes the only key, and returns it when they are done. This allows the next thread to get the key and execute the code inside. It doesn't matter how long they are in the synchronized method, only one thread can enter at a time.
Yield suggests (and yes its only a suggestion) to the compiler that the current thread can give up its allotted time and another thread can begin execution. It doesn't always happen that way, however.
In your code, even though the current thread suggest to the compiler that it can give up its execution time, it still holds the key to the synchronized methods, and therefore the new thread cannot enter.
The unpredictable behavior comes from the yield not giving up the execution time as you predicted.
Hope that helped!
I'm incrementing a static variable thru' 100 different threads without synchronisation, yet getting the final result as 100. I've run this code several times and have got same result. Does my code then not require synchronisation? I'm using BlueJ IDE to run the code
public class Main {
private final static int MAX_THREADS = 100;
public static void main(String[] args) {
Thread[] threads = new Thread[MAX_THREADS];
for(int i=0; i<MAX_THREADS; i++) {
threads[i] = new Thread(new Job(), "Thread-" + i);
threads[i].start();
try{
Thread.sleep((int)(Math.random() * 1000));
}catch(InterruptedException e) {
e.printStackTrace();
}
}
for(int i=0; i<MAX_THREADS; i++) {
try {
threads[i].join();
}catch(InterruptedException e) {
e.printStackTrace();
}
}
System.out.printf("Final Value: %d\n", Job.getSuccessCount());
}
}
public class Job implements Runnable {
private static int successCount;
public static int getSuccessCount() {return successCount;}
#Override
public void run() {
System.out.printf("%s: Incrementing successCount %d\n", Thread.currentThread().getName(), successCount);
try{
Thread.sleep((int)(Math.random() * 10000));
}catch(InterruptedException e) {
e.printStackTrace();
}
successCount++;
System.out.printf("%s: Incrementing Complete %d\n", Thread.currentThread().getName(), successCount);
}
}
Basically in you code, due to the sleep statements (both in the Thread and by the launcher), you are effectively kicking off the threads allowing for plenty of non busy time to update. That is why it is working. If you code was really multi-threaded, the you would face synchronization issues.
Adding to Wombat's Answer. The final result will always be 100 because you do a Unary Operation after The Sleep in Job class. Basically the read-modify-write commands can run sequentially per Job if the Java Scheduler didn't change the status of the Thread while performing the following.
successCount++
But if you change the Job source code to read-sleep-modify-write then you will definitely see stale value as following.
public class Job implements Runnable {
private static int successCount;
public static int getSuccessCount() {return successCount;}
#Override
public void run() {
System.out.printf("%s: Incrementing successCount %d\n", Thread.currentThread().getName(), successCount);
int sc = successCount; // Read
try{
Thread.sleep((int)(Math.random() * 10000)); // Sleep
}catch(InterruptedException e) {
e.printStackTrace();
}
successCount = sc++; // Modify-Write
System.out.printf("%s: Incrementing Complete %d\n", Thread.currentThread().getName(), successCount);
}
}
With this 2 Threads can read and then sleep and then wake up and write the same value to successCount overwriting the original value.
Your code currently doesn't need synchronization, as no two treads access the same variable at the same time. In other words, only 1 thread in your application is incrementing the variable.
In this case, it is due to the fact that incrementing the variable takes less than Math.random() *1000. Why is it so? Let's observe the threads:
Main Thread:
Launches and starts a thread
Executes both Math.random() and Thread.sleep()
Loops again
While the main thread is doing step 2, the new thread is:
Incrementing variable
Going to sleep
In this case, once the new thread goes to sleep, it just is killed right after, therefore, for our purpose we can regard it as if the thread terminates right after step 1, as it stops affecting the variable (it has no influence on the variable after step 1).
In order for a synchronization problem to occur, two new threads need to access the variable at once. For this to happen, main thread must launch a new thread before the first new thread finishes incrementing. For that to happen, main thread must be faster in: executing Math.random(), Thread.sleep(), and creating a new thread, all before the other thread finishes incrementing. This is obviously not the case, and thus no 2 threads will increment at once, and no synchronization error will occur.
If you do the sums you'll see that you have an average of ten threads running at the same time, all sleeping for an average of five seconds and then doing an increment. So on average the increments won't be closer together than half a second, and the fact their starting is also spaced out by an average of half a second makes that a full second on average. There is essentially no concurrency here at all.
Can someone please let me know why is the below code not threadsafe ? The output I get is either 0 or 45 or 90. The shared resource counter has a synchronized method, so I am expecting 90 as the output all the times. Am I missing something here ? Please advise.
Kindly, also let me know how to make this code threadsafe.
class Counter{
long count = 0;
public synchronized void add(long value){
this.count += value;
}
}
class CounterThread extends Thread{
protected Counter counter = null;
public CounterThread(Counter counter){
this.counter = counter;
}
public void run() {
for(int i=0; i<10; i++){
counter.add(i);
}
}
}
public class Example {
public static void main(String[] args){
Counter counter = new Counter();
Thread threadA = new CounterThread(counter);
Thread threadB = new CounterThread(counter);
threadA.start();
threadB.start();
System.out.println(counter.count);
}
}
wait for threads to finish. Add
threadA.join();
threadB.join();
before printing the result.
Essentially you are reading the values before the two threads have completed their execution.
You can use a join to wait for the threads to finish.
Also try using AtomicLong 's addAndGet method instead of the synchronized add method.
You do not wait with the println until the threads have stopped. So you print out the value of the counter while the for-loops are still in process. It does not have to do anything with thread-safety.
Counter access is threadsafe, but System.out.println(counter.count); can happen before other threads do their work.
Your code is thread safe but a better way is get rid of synchronized method and use AtomicLong
And Use getAndAdd(long) method
public final long getAndAdd(long delta)
>Atomically add the given value to current value.
You have 3 threads running there. The one assigned to variable threadA, the one assigned to threadB and the main thread.
The main thread runs as long as the main method runs. The other 2 are started and run concurrently with the main thread. However, the main thread is not blocked waiting for the other 2 to finish, so it prints the result when it gets a chance to execute.