Writing a file using multiple threads

两盒软妹~` 提交于 2019-11-27 07:55:26

Shared Resource == Contention

Writing to a normal file by definition is a serialized operation. You gain no performance by trying to write to it from multiple threads, I/O is a finite bounded resource at orders of magnitude less bandwidth than even the slowest or most overloaded CPU.

Concurrent access to a shared resource can be complicated ( and slow )

If you have multiple threads that are doing expensive calculations then you have options, if you are just using multiple threads because you think you are going to speed something up, you are just going to do the opposite. Contention for I/O always slows down access to the resource, it never speeds it up because of the lock waits and other overhead.

You have to have a critical section that is protected and allows only a single writer at a time. Just look up the source code for any logging writer that supports concurrency and you will see that there is only a single thread that writes to the file.

If your application is primarily:

  1. CPU Bound: You can use some locking mechanism/data construct to only let one thread out of many write to the file at a time, which will be useless from a concurrency standpoint as a naive solution; If these threads are CPU bound with little I/O this might work.

  2. I/O Bound: This is the most common case, you must use a messaging passing system with a queue of some sort and have all the threads post to a queue/buffer and have a single thread pull from it and write to the file. This will be the most scalable and easiest to implement solution.

Journaling - Async Writes

If you need to create a single super large file where order of writes are unimportant and the program is CPU bound you can use a journaling technique.

Have each process write to a separate file and then concat the multiple files into a single large file at the end. This is a very old school low tech solution that works well and has for decades.

Obviously the more storage I/O you have the better this will perform on the end concat.

I am trying to write a single huge file in Java using multiple threads.

I would recommend that you have X threads reading from the database and a single thread writing to your output file. This is going to be much easier to implement as opposed to doing file locking and the like.

You could use a shared BlockingQueue (maybe ArrayBlockingQueue) so the database readers would add(...) to the queue and your writer would be in a take() loop on the queue. When the readers finish, they could add some special IM_DONE string constant and as soon as the writing thread sees X of these constants (i.e. one for each reader), it would close the output file and exit.

So then you can use a single BufferedWriter without any locks and the like. Chances are that you will be blocked by the database calls instead of the local IO. Certainly the extra thread isn't going to slow you down at all.

The single to-be-written file is opened by multiple threads in append mode. Each thread thereafter tries writing to the file file.

If you are adamant to have your reading threads also do the writing then you should add a synchronized block around the access to a single shared BufferedWriter -- you could synchronize on the BufferedWriter object itself. Knowing when to close the writer is a bit of an issue since each thread would have to know if the other one has exited. Each thread could increment a shared AtomicInteger when they run and decrement when they are done. Then the thread that looks at the run-count and sees 0 would be the one that would close the writer.

Instead of having a synchronized methods, the better solution would be to have a threadpool with single thread backed by a blocking queue. The message application would be writing will be pushed to blocking queue. The log writer thread would continue to read from blocking queue (will be blocked in case queue is empty) and would continue to write it to single file.

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