8/9/2023 0 Comments Java parallel streams![]() Our task will be to take a simple list of integers and process them using a slow identity function. Indeed, the threads or thread pool that is used for execution of parallel streams is unspecified.īut what to do if we want to process collections using long-running and/or blocking tasks? Parallel Collection Processing Without Parallel Streams Note, however, that this technique (…) is an implementation “trick” and is not guaranteed to work. On the one hand, we could mitigate the issue by using a ManagedBlocker, but it turns out that ForkJoinPool is not a part of the public contract: What’s more, it turns out that the hardwired thread pool is the static common ForkJoinPool which is a default execution facility not only for parallel streams, but for multiple methods from CompletableFuture, and potentially even Project Loom’s virtual threads (fibers) – polluting such a thread pool with long-running operations could be disastrous for performance. Unfortunately, we can’t choose an execution facility, define per-instance parallelism, or avoid blocking the calling thread. ![]() Parallel collection processing using Stream API can be as easy as: List result = list.parallelStream() However, unsurprisingly, such convenience comes at a price, so better be aware of how to achieve the same without relying on the tool. Stream API is a convenient tool for collection processing, especially if you need to parallelize the execution of CPU-intensive tasks.
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