I have a thread that needs to be executed every 10 seconds. This thread contains several calls (12 - 15) to a database on another server. Additionally, it also accesses around 3 files. Consequently, there will be quite a lot of IO and network overhead.
What is the best strategy to perform the above?
One way would be to use the sleep method along with a while loop, but that would be a bad design.
Will a class similar to Timer be helpful in this case? Also, would it be better to create a couple of more threads (one for IO and one for JDBC), instead of having them run in one thread?
Overview. Multi-thread programming allows us to run threads concurrently, and each thread can handle different tasks.
Within a process or program, we can run multiple threads concurrently to improve the performance. Threads, unlike heavyweight process, are lightweight and run inside a single process – they share the same address space, the resources allocated and the environment of that process.
I find that a ScheduledExecutorService is an excellent way to do this. It is arguably slightly more complex than a Timer
, but gives more flexibility in exchange (e.g. you could choose to use a single thread or a thread pool; it takes units other than solely milliseconds).
ScheduledExecutorService executor =
Executors.newSingleThreadScheduledExecutor();
Runnable periodicTask = new Runnable() {
public void run() {
// Invoke method(s) to do the work
doPeriodicWork();
}
};
executor.scheduleAtFixedRate(periodicTask, 0, 10, TimeUnit.SECONDS);
One option is to create a ScheduledExecutorService to which you can then schedule your job:
ScheduledExecutorService ex = Executors.newSingleThreadScheduledExecutor();
ex.scheduleWithFixedDelay(...);
If you did decide to have multiple threads, then you can create a ScheduledExecutorService with more threads (again, via the Executors class).
In terms of how many threads and what you put in each thread, in terms of performance, I'd say this depends on:
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