I have a web-service that write files to disk and other stuff to database. The entire operation takes 1-2 seconds for each write.
The service can, bur that is unlikely, be called from several clients at the same time. Let´s assume that 20 clients call the webservice at the same time, the write operations must be synchronized. In that case, some clients can get a time out exception because they have to wait to many seconds.
Are there any good practices to solve these kind of situations? As it is now, the methods are synchronized (and that can cause the starvation/timeouts).
Should I let all threads get into the write method by removing the synchronized keyword and put their task into a task queue to avoid a timeout? Is that the correct way to get arount this?
Removing the synchronized and putting it into a task queue by itself will not help you (because that's effectively what the synchronized is doing for you). However if you respond to the web request as soon as you put it on the queue, then you will reduce your response fime. But at the cost of some reliability as the user will get a confirmation that the work is done and the work will not really have been done (the system could crash before the work is done).
Francis Upton's practice is indeed an accepted practice.
Another one, is making more fine grained synchronization. Instead of synchronizing all read/write methods of a class, you can synchronize access of the exact invariants that should be synchronized.
And yet even better, is to get rid of synchronization altogether. This is possible using the java.util.concurrent package. This package introduce new collections that use Non-Blocking Algorithms (implemented in java using Compare-Ans-Swap atomic instructions). These collections, such as ConcurrentHashMap, enable much better throughput when scaling.
You can read more about it in this article.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With