• Producer Consumer Thread Java

I think it will be better for understanding and dealing with synchronisation in general if you try to separate three things which are currently mixed:.Task which is going to do the actual job. Names for classes Thread1 & Thread2 are misleading. They are not Thread objects, but they are actually jobs or tasks implementing Runnable interface you are giving to Thread objects.Thread object itself which you are creating in main.Shared object which encapsulates synchronised operations/logic on a queue, a stack etc. This object will be shared between tasks. And inside this shared object you will take care of add/remove operations (either with synchronized blocks or synchronized methods). Currently (as it was pointed out already), synchronization is done on a task itself (i.e. Each task waits and notifies on its own lock and nothing happens).

When you separate concerns, i.e. Let one class do one thing properly it will eventually become clear where is the problem.

You can use Java's awesome java.util.concurrent package and its classes.You can easily implement the producer consumer problem using theBlockingQueue. A BlockingQueue already supports operations that waitfor the queue to become non-empty when retrieving an element, and waitfor space to become available in the queue when storing an element.Without BlockingQueue, every time we put data to queue at the producerside, we need to check if queue is full, and if full, wait for sometime, check again and continue. Similarly on the consumer side, wewould have to check if queue is empty, and if empty, wait for sometime, check again and continue. However with BlockingQueue we don’thave to write any extra logic than to just add data from Producer andpoll data from Consumer.Read more From.

Producer Consumer Thread Java

This article includes a, but its sources remain unclear because it has insufficient. Please help to this article by more precise citations. ( September 2014) In, the producer–consumer problem (also known as the bounded-buffer problem) is a classic example of a multi- problem. The problem describes two processes, the producer and the consumer, who share a common, fixed-size used as a.

The producer's job is to generate data, put it into the buffer, and start again. At the same time, the consumer is consuming the data (i.e., removing it from the buffer), one piece at a time. The problem is to make sure that the producer won't try to add data into the buffer if it's full and that the consumer won't try to remove data from an empty buffer.The solution for the producer is to either go to sleep or discard data if the buffer is full. The next time the consumer removes an item from the buffer, it notifies the producer, who starts to fill the buffer again. In the same way, the consumer can go to sleep if it finds the buffer empty. The next time the producer puts data into the buffer, it wakes up the sleeping consumer.

The solution can be reached by means of, typically using. An inadequate solution could result in a where both processes are waiting to be awakened. The problem can also be generalized to have multiple producers and consumers.