php editor Youzi will give you the answer: Using Executor Service to handle multi-threading in Java is an efficient way to effectively manage the thread pool and thread life cycle. Through Executor Service, you can easily create, start and control multiple threads to achieve concurrent execution of tasks and improve program efficiency. This article will delve into how to use Executor Service to handle multi-threading issues in Java, helping you better understand and apply this important multi-threading processing tool.
I am developing a solution, for a single customer, I need to call the api to get the customer's employee list. But this API (third party) can only return 100 employees at a time. So I need to call the same api by changing the offset every time to get the next set of 100 employees. Currently this is handled using a single thread, so the time to retrieve all employees (let's say 30k) increases as the number of employees increases. And the app has many such customers.
As a solution for this problem, I tried to use # Executorservice
to achieve multi -threaded. Through this solution, the time required for customers to retrieve all employees is reduced.
question:
ExecutorService executor = Executors.newFixedThreadPool(2); ServiceExecutor executor0 = new ServiceExecutor("0"); ServiceExecutor executor1 = new ServiceExecutor("100"); Future result0 = executor.submit(executor0); Future result1 = executor.submit(executor1); List<String> s1 = new ArrayList<>(); s1.add(result0.get()); s2.add(result1.get());
This question depends to a large extent on how your application is set to receive a customer's request. Is it for each request to create a new execution program service, or is it shared the execution program service between all requests? Creating a new execution program service for each request will be very wasteful because you must allocate new thread allocation space for a long time. Therefore, the use of the same ExecutorService for multiple requests will be more efficient.
In this case, using Executors.newCachedThreadPool()
instead of newFixedThreadPool()
may be more flexible as this allows the ExecutorService to dynamically increase the number of threads in the pool as needed.
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