I think that, in most cases, the ArrayBlockingQueue
will perform better than the LinkedBlockingQueue
. However, that is the case when there is always enough room in the array... If it gets full, it's not very predictable whether it will perform so well, since it will block the thread that's trying to push data into the queue...
So, my question is: Is there any middle-ground implementation of BlockingQueue
? Say, an ArrayListBlockingQueue
or a BucketListBlockingQueue
? Something like a list of arrays, so that the queue can increase in capacity dynamically, while still having a reasonable benefit from using array to ultimately store data?
1 . LinkedBlockingQueue ( LinkedList Implementation but Not Exactly JDK Implementation of LinkedList It uses static inner class Node to maintain Links between elements )
Node class Used to Maintain Links
2 . ArrayBlockingQueue ( Array Implementation )
Constructor for ArrayBlockingQueue
IMHO Biggest Difference between ArrayBlockingQueue and LinkedBlockingQueue is clear from constructor one has underlying data structure Array and other linkedList.
ArrayBlockingQueue uses single-lock double condition algorithm and LinkedBlockingQueue is variant of the "two lock queue" algorithm and it has 2 locks 2 conditions ( takeLock , putLock)
Till now I gave comparison between these 2 implementations Coming back to original question , Similar question was asked in concurrency mailing list in this doug Lea talks about DynamicArrayBlockingQueue which is implementation provided by Dawid Kurzyniec.
My 2 cents:
To start with, the bottom line here is you don't really care about the difference here because even when you are using a plain LinkedBlockingQueue, the performance is good enough when you are delivering some micro-second level systems. So the performance difference here isn't really that great.
If you are writing a mission-critical high performance system and you are using queues to pass messages between threads, you can always estimate the queue size needed by [Queue Size] = [Max acceptable delay] * [Max message rate]. Anything which can grow beyond such capacity means you suffer from a slow consumer problem. In a mission critical application, such delay means your system is malfunctioning. Some manual process might be needed to make sure the system is running properly.
In case your system isn't mission critical, you can simply pause (block) the publisher until some consumers are available.