/* * Copyright (c) 2004, 2024, Oracle and/or its affiliates. All rights reserved. * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER. * * This code is free software; you can redistribute it and/or modify it * under the terms of the GNU General Public License version 2 only, as * published by the Free Software Foundation. * * This code is distributed in the hope that it will be useful, but WITHOUT * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License * version 2 for more details (a copy is included in the LICENSE file that * accompanied this code). * * You should have received a copy of the GNU General Public License version * 2 along with this work; if not, write to the Free Software Foundation, * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA. * * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA * or visit www.oracle.com if you need additional information or have any * questions. */ /* * @test * @bug 4486658 8010293 * @summary thread safety of toArray methods of collection views * @author Martin Buchholz */ import java.util.List; import java.util.concurrent.CompletableFuture; import java.util.concurrent.ConcurrentHashMap; import java.util.concurrent.Executors; import java.util.concurrent.ThreadLocalRandom; import java.util.stream.Collectors; import java.util.stream.IntStream; public class ToArray { public static void main(String[] args) throws Throwable { final int runsPerTest = Integer.getInteger("jsr166.runsPerTest", 1); final int reps = 10 * runsPerTest; for (int i = reps; i--> 0; ) executeTest(); } static void executeTest() throws Throwable { try (var executor = Executors.newCachedThreadPool()) { final ConcurrentHashMap m = new ConcurrentHashMap<>(); final ThreadLocalRandom rnd = ThreadLocalRandom.current(); final int nCPU = Runtime.getRuntime().availableProcessors(); final int minWorkers = 2; final int maxWorkers = Math.max(minWorkers, Math.min(32, nCPU)); final int nWorkers = rnd.nextInt(minWorkers, maxWorkers + 1); final int sizePerWorker = 1024; final int maxSize = nWorkers * sizePerWorker; // The foreman busy-checks that the size of the arrays obtained // from the keys and values views grows monotonically until it // reaches the maximum size. // NOTE: these size constraints are not specific to toArray and are // applicable to any form of traversal of the collection views CompletableFuture foreman = CompletableFuture.runAsync(new Runnable() { private int prevSize = 0; private boolean checkProgress(Object[] a) { int size = a.length; if (size < prevSize || size > maxSize) throw new AssertionError( String.format("prevSize=%d size=%d maxSize=%d", prevSize, size, maxSize)); prevSize = size; return size == maxSize; } public void run() { Integer[] empty = new Integer[0]; for (; ; ) if (checkProgress(m.values().toArray()) & checkProgress(m.keySet().toArray()) & checkProgress(m.values().toArray(empty)) & checkProgress(m.keySet().toArray(empty))) return; } }, executor); // Each worker puts globally unique keys into the map List> workers = IntStream.range(0, nWorkers) .mapToObj(w -> (Runnable) () -> { for (int i = 0, o = w * sizePerWorker; i < sizePerWorker; i++) m.put(o + i, i); }) .map(r -> CompletableFuture.runAsync(r, executor)) .collect(Collectors.toList()); // Wait for workers and foreman to complete workers.forEach(CompletableFuture::join); foreman.join(); } } }