/* * SPDX-License-Identifier: MIT * * The MIT License (MIT) * * Copyright (c) 2015-2021 * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ package com.github.games647.fastlogin.core; import com.google.common.util.concurrent.MoreExecutors; import java.util.concurrent.CompletableFuture; import java.util.concurrent.ExecutorService; import java.util.concurrent.LinkedBlockingQueue; import java.util.concurrent.ThreadFactory; import java.util.concurrent.ThreadPoolExecutor; import java.util.concurrent.TimeUnit; import org.slf4j.Logger; /** * This limits the number of threads that are used at maximum. Thread creation can be very heavy for the CPU and * context switching between threads too. However we need many threads for blocking HTTP and database calls. * Nevertheless this number can be further limited, because the number of actually working database threads * is limited by the size of our database pool. The goal is to separate concerns into processing and blocking only * threads. */ public class AsyncScheduler { private static final int MAX_CAPACITY = 1024; //todo: single thread for delaying and scheduling tasks private final Logger logger; // 30 threads are still too many - the optimal solution is to separate into processing and blocking threads // where processing threads could only be max number of cores while blocking threads could be minimized using // non-blocking I/O and a single event executor private final ExecutorService processingPool; /* private final ExecutorService databaseExecutor = new ThreadPoolExecutor(1, 10, 0L, TimeUnit.MILLISECONDS, new LinkedBlockingQueue<>(MAX_CAPACITY)); */ public AsyncScheduler(Logger logger, ThreadFactory threadFactory) { this.logger = logger; processingPool = new ThreadPoolExecutor(6, 32, 60L, TimeUnit.SECONDS, new LinkedBlockingQueue<>(MAX_CAPACITY), threadFactory); } /* public CompletableFuture runDatabaseTask(Supplier databaseTask) { return CompletableFuture.supplyAsync(databaseTask, databaseExecutor) .exceptionally(error -> { logger.warn("Error occurred on thread pool", error); return null; }) // change context to the processing pool .thenApplyAsync(r -> r, processingPool); } */ public CompletableFuture runAsync(Runnable task) { return CompletableFuture.runAsync(task, processingPool).exceptionally(error -> { logger.warn("Error occurred on thread pool", error); return null; }); } public void shutdown() { MoreExecutors.shutdownAndAwaitTermination(processingPool, 1, TimeUnit.MINUTES); //MoreExecutors.shutdownAndAwaitTermination(databaseExecutor, 1, TimeUnit.MINUTES); } }