Exercise:
Compile and run
BadThreads.java:
public class BadThreads {
static String message;
private static class CorrectorThread extends Thread {
public void run() {
try {
sleep(1000);
} catch (InterruptedException e) {}
//Key statement 1:
message = "Mares do eat oats.";
}
}
public static void main(String args[]) throws InterruptedException {
(new CorrectorThread()).start();
message = "Mares do not eat oats.";
Thread.sleep(2000);
//Key statement 2:
System.out.println(message);
}
}
The application should print out "Mares do eat oats." Is it
guaranteed to always do this? If not, why not? Would it help to change
the parameters of the two invocations of Sleep? Describe
two ways to change the program to enforce such a guarantee.
Solution:
The program will almost always print out "Mares do eat oats."
However, this result is not guaranteed, because there is no
happens-before relationship between "Key statement 1" and "Key
statment 2". This is true even if "Key statement 1" actually
executes before "Key statement 2" — remember, a
happens-before relationship is about visibility, not sequence.
There are two ways you can guarantee that all changes to
message will be visible to the main thread:
- In the main thread, retain a reference to the
CorrectorThread instance. Then invoke
join on that instance before referring to
message
- Encapsulate
message in an object with
synchronized methods. Never reference message
except through those methods.
Both of these techniques establish the necessary happens-before
relationship, making changes to message visible.
A third technique is to simply declare message as
volatile. This guarantees that any write to
message (as in "Key statement 1") will have a happens-before relationship with
any subsequent reads of message (as in "Key
statement 2"). But it does not guarantee that "Key statement 1"
will literally happen before "Key statement 2". They will
probably happen in sequence, but because of scheduling
uncertainities and the unknown granularity of sleep,
this is not guaranteed.
Changing the arguments of the two sleep invocations
does not help either, since this does nothing to guarantee a
happens-before relationship.
Exercise:
Modify the producer-consumer example in Guarded Blocks to use a standard
library class instead of the Drop class.
Solution:
The
java.util.concurrent.BlockingQueue
interface defines a get method that blocks if the queue
is empty, and a put methods that blocks if the queue is
full. These are effectively the same operations defined by
Drop — except that Drop is not a
queue! However, there's another way of looking at Drop: it's a queue
with a capacity of zero. Since there's no room in the queue for
any elements, every get blocks until the
corresponding take and every take blocks
until the corresponding get. There is an implementation
of BlockingQueue with precisely this behavior:
java.util.concurrent.SynchronousQueue.
BlockingQueue is almost a drop-in replacement for
Drop. The main problem in
Producer
is that with BlockingQueue, the put and
get methods throw InterruptedException. This
means that the existing try must be moved up a level:
import java.util.Random;
import java.util.concurrent.BlockingQueue;
public class Producer implements Runnable {
private BlockingQueue<String> drop;
public Producer(BlockingQueue<String> drop) {
this.drop = drop;
}
public void run() {
String importantInfo[] = {
"Mares eat oats",
"Does eat oats",
"Little lambs eat ivy",
"A kid will eat ivy too"
};
Random random = new Random();
try {
for (int i = 0; i < importantInfo.length; i++) {
drop.put(importantInfo[i]);
Thread.sleep(random.nextInt(5000));
}
drop.put("DONE");
} catch (InterruptedException e) {}
}
}
Similar changes are required for
Consumer:
import java.util.Random;
import java.util.concurrent.BlockingQueue;
public class Consumer implements Runnable {
private BlockingQueue<String> drop;
public Consumer(BlockingQueue<String> drop) {
this.drop = drop;
}
public void run() {
Random random = new Random();
try {
for (String message = drop.take(); ! message.equals("DONE");
message = drop.take()) {
System.out.format("MESSAGE RECEIVED: %s%n", message);
Thread.sleep(random.nextInt(5000));
}
} catch (InterruptedException e) {}
}
}
For
ProducerConsumerExample,
we simply change the declaration for the drop object:
import java.util.concurrent.BlockingQueue;
import java.util.concurrent.SynchronousQueue;
public class ProducerConsumerExample {
public static void main(String[] args) {
BlockingQueue<String> drop = new SynchronousQueue<String> ();
(new Thread(new Producer(drop))).start();
(new Thread(new Consumer(drop))).start();
}
}