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Palantir open source project
/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.cassandra.concurrent;
import java.util.concurrent.*;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.cassandra.tracing.TraceState;
import org.apache.cassandra.tracing.Tracing;
import static org.apache.cassandra.tracing.Tracing.isTracing;
/**
* This class encorporates some Executor best practices for Cassandra. Most of the executors in the system
* should use or extend this. There are two main improvements over a vanilla TPE:
*
* - If a task throws an exception, the default uncaught exception handler will be invoked; if there is
* no such handler, the exception will be logged.
* - MaximumPoolSize is not supported. Here is what that means (quoting TPE javadoc):
*
* If fewer than corePoolSize threads are running, the Executor always prefers adding a new thread rather than queuing.
* If corePoolSize or more threads are running, the Executor always prefers queuing a request rather than adding a new thread.
* If a request cannot be queued, a new thread is created unless this would exceed maximumPoolSize, in which case, the task will be rejected.
*
* We don't want this last stage of creating new threads if the queue is full; it makes it needlessly difficult to
* reason about the system's behavior. In other words, if DebuggableTPE has allocated our maximum number of (core)
* threads and the queue is full, we want the enqueuer to block. But to allow the number of threads to drop if a
* stage is less busy, core thread timeout is enabled.
*/
public class DebuggableThreadPoolExecutor extends ThreadPoolExecutor implements LocalAwareExecutorService
{
protected static final Logger logger = LoggerFactory.getLogger(DebuggableThreadPoolExecutor.class);
public static final RejectedExecutionHandler blockingExecutionHandler = new RejectedExecutionHandler()
{
public void rejectedExecution(Runnable task, ThreadPoolExecutor executor)
{
((DebuggableThreadPoolExecutor) executor).onInitialRejection(task);
BlockingQueue queue = executor.getQueue();
while (true)
{
if (executor.isShutdown())
{
((DebuggableThreadPoolExecutor) executor).onFinalRejection(task);
throw new RejectedExecutionException("ThreadPoolExecutor has shut down");
}
try
{
if (queue.offer(task, 1000, TimeUnit.MILLISECONDS))
{
((DebuggableThreadPoolExecutor) executor).onFinalAccept(task);
break;
}
}
catch (InterruptedException e)
{
throw new AssertionError(e);
}
}
}
};
public DebuggableThreadPoolExecutor(String threadPoolName, int priority)
{
this(1, Integer.MAX_VALUE, TimeUnit.SECONDS, new LinkedBlockingQueue(), new NamedThreadFactory(threadPoolName, priority));
}
public DebuggableThreadPoolExecutor(int corePoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue queue, ThreadFactory factory)
{
this(corePoolSize, corePoolSize, keepAliveTime, unit, queue, factory);
}
public DebuggableThreadPoolExecutor(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue workQueue, ThreadFactory threadFactory)
{
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, threadFactory);
allowCoreThreadTimeOut(true);
// block task submissions until queue has room.
// this is fighting TPE's design a bit because TPE rejects if queue.offer reports a full queue.
// we'll just override this with a handler that retries until it gets in. ugly, but effective.
// (there is an extensive analysis of the options here at
// http://today.java.net/pub/a/today/2008/10/23/creating-a-notifying-blocking-thread-pool-executor.html)
this.setRejectedExecutionHandler(blockingExecutionHandler);
}
/**
* Creates a thread pool that creates new threads as needed, but
* will reuse previously constructed threads when they are
* available.
* @param threadPoolName the name of the threads created by this executor
* @return The new DebuggableThreadPoolExecutor
*/
public static DebuggableThreadPoolExecutor createCachedThreadpoolWithMaxSize(String threadPoolName)
{
return new DebuggableThreadPoolExecutor(0, Integer.MAX_VALUE,
60L, TimeUnit.SECONDS,
new SynchronousQueue(),
new NamedThreadFactory(threadPoolName));
}
/**
* Returns a ThreadPoolExecutor with a fixed number of threads.
* When all threads are actively executing tasks, new tasks are queued.
* If (most) threads are expected to be idle most of the time, prefer createWithMaxSize() instead.
* @param threadPoolName the name of the threads created by this executor
* @param size the fixed number of threads for this executor
* @return the new DebuggableThreadPoolExecutor
*/
public static DebuggableThreadPoolExecutor createWithFixedPoolSize(String threadPoolName, int size)
{
return createWithMaximumPoolSize(threadPoolName, size, Integer.MAX_VALUE, TimeUnit.SECONDS);
}
/**
* Returns a ThreadPoolExecutor with a fixed maximum number of threads, but whose
* threads are terminated when idle for too long.
* When all threads are actively executing tasks, new tasks are queued.
* @param threadPoolName the name of the threads created by this executor
* @param size the maximum number of threads for this executor
* @param keepAliveTime the time an idle thread is kept alive before being terminated
* @param unit tht time unit for {@code keepAliveTime}
* @return the new DebuggableThreadPoolExecutor
*/
public static DebuggableThreadPoolExecutor createWithMaximumPoolSize(String threadPoolName, int size, int keepAliveTime, TimeUnit unit)
{
return new DebuggableThreadPoolExecutor(size, Integer.MAX_VALUE, keepAliveTime, unit, new LinkedBlockingQueue(), new NamedThreadFactory(threadPoolName));
}
protected void onInitialRejection(Runnable task) {}
protected void onFinalAccept(Runnable task) {}
protected void onFinalRejection(Runnable task) {}
public void execute(Runnable command, ExecutorLocals locals)
{
super.execute(locals == null || command instanceof LocalSessionWrapper
? command
: new LocalSessionWrapper