A thread pool is a collection of threads on which task can be scheduled. Instead of creating a new thread for each task, you can have one of the threads from the thread pool pulled out of the pool and assigned to the task. When the thread is finished with the task, it adds itself back to the pool and waits for another assignment. One common type of thread pool is the fixed thread pool. This type of pool always has a specified number of threads running; if a thread is somehow terminated while it is still in use, it is automatically replaced with a new thread. Below are key reasons to use a Thread Pool
Thread Pools are useful when you need to limit the number of threads running in your application at the same time. There is a performance overhead associated with starting a new thread, and each thread is also allocated some memory for its stack etc.
Instead of starting a new thread for every task to execute concurrently, the task can be passed to a thread pool. As soon as the pool has any idle threads the task is assigned to one of them and executed. Internally the tasks are inserted into a Blocking Queue which the threads in the pool are dequeuing from. When a new task is inserted into the queue one of the idle threads will dequeue it successfully and execute it. The rest of the idle threads in the pool will be blocked waiting to dequeue tasks.
Thread pools are often used in multi threaded servers. Each connection arriving at the server via the network is wrapped as a task and passed on to a thread pool. The threads in the thread pool will process the requests on the connections concurrently. A later trail will get into detail about implementing multithreaded servers in Java.
Java 5 comes with built in thread pools in the
Here is a simple thread pool implementation:
To execute a task the method
The
To stop the
The threads will stop after finishing any task they are currently executing. Notice the
- Using thread pools minimizes the JVM overhead due to thread creation. Thread objects use a significant amount of memory, and in a large-scale application, allocating and de-allocating many thread objects creates a significant memory management overhead.
- You have control over the maximum number of tasks that are being processed in parallel (= number of threads in the pool).
Thread Pools are useful when you need to limit the number of threads running in your application at the same time. There is a performance overhead associated with starting a new thread, and each thread is also allocated some memory for its stack etc.
Instead of starting a new thread for every task to execute concurrently, the task can be passed to a thread pool. As soon as the pool has any idle threads the task is assigned to one of them and executed. Internally the tasks are inserted into a Blocking Queue which the threads in the pool are dequeuing from. When a new task is inserted into the queue one of the idle threads will dequeue it successfully and execute it. The rest of the idle threads in the pool will be blocked waiting to dequeue tasks.
Thread pools are often used in multi threaded servers. Each connection arriving at the server via the network is wrapped as a task and passed on to a thread pool. The threads in the thread pool will process the requests on the connections concurrently. A later trail will get into detail about implementing multithreaded servers in Java.
Java 5 comes with built in thread pools in the
java.util.concurrent
package, so you don't have to implement your
own thread pool. You can read more about it in my text on the java.util.concurrent.ExecutorService.
Still it can be useful to know a bit about the implementation of a thread pool
anyways. Here is a simple thread pool implementation:
public class ThreadPool {
private BlockingQueue taskQueue = null;
private List threads = new ArrayList();
private boolean isStopped = false;
public ThreadPool(int noOfThreads, int maxNoOfTasks){
taskQueue = new BlockingQueue(maxNoOfTasks);
for(int i=0; i
public class PoolThread extends Thread {
private BlockingQueue taskQueue = null;
private boolean isStopped = false;
public PoolThread(BlockingQueue queue){
taskQueue = queue;
}
public void run(){
while(!isStopped()){
try{
Runnable runnable = (Runnable) taskQueue.dequeue();
runnable.run();
} catch(Exception e){
//log or otherwise report exception,
//but keep pool thread alive.
}
}
}
public synchronized void stop(){
isStopped = true;
this.interrupt(); //break pool thread out of dequeue() call.
}
public synchronized void isStopped(){
return isStopped;
}
}
The thread pool implementation consists of two parts. A
ThreadPool
class which is the public interface to the thread pool,
and a PoolThread
class which implements the threads that execute
the tasks. To execute a task the method
ThreadPool.execute(Runnable r)
is
called with a Runnable
implementation as parameter. The
Runnable
is enqueued in the blocking
queue internally, waiting to be dequeued. The
Runnable
will be dequeued by an idle PoolThread
and executed. You can see this in the PoolThread.run()
method.
After execution the PoolThread
loops and tries to dequeue a task
again, until stopped. To stop the
ThreadPool
the method ThreadPool.stop()
is called. The stop called is noted internally in the isStopped
member. Then each thread in the pool is stopped by calling
PoolThread.stop()
. Notice how the execute()
method
will throw an IllegalStateException
if execute()
is
called after stop()
has been called. The threads will stop after finishing any task they are currently executing. Notice the
this.interrupt()
call in PoolThread.stop()
.
This makes sure that a thread blocked in a wait()
call inside the
taskQueue.dequeue()
call breaks out of the wait()
call, and leaves the dequeue()
method call with an
InterruptedException
thrown. This exception is caught in the
PoolThread.run()
method, reported, and then the
isStopped
variable is checked. Since isStopped
is now
true, the PoolThread.run()
will exit and the thread dies.