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LimeLogin/core/src/main/java/com/github/games647/fastlogin/core/AsyncScheduler.java

95 lines
3.9 KiB
Java

/*
* SPDX-License-Identifier: MIT
*
* The MIT License (MIT)
*
* Copyright (c) 2015-2021 <Your name and contributors>
*
* 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 <R> CompletableFuture<R> runDatabaseTask(Supplier<R> 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<Void> 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);
}
}