Package io.netty.handler.execution

Source Code of io.netty.handler.execution.ExecutionHandler

/*
* Copyright 2011 The Netty Project
*
* The Netty Project 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 io.netty.handler.execution;

import java.util.concurrent.Executor;

import io.netty.bootstrap.ServerBootstrap;
import io.netty.channel.Channel;
import io.netty.channel.ChannelDownstreamHandler;
import io.netty.channel.ChannelEvent;
import io.netty.channel.ChannelHandler;
import io.netty.channel.ChannelHandler.Sharable;
import io.netty.channel.ChannelHandlerContext;
import io.netty.channel.ChannelPipeline;
import io.netty.channel.ChannelPipelineFactory;
import io.netty.channel.ChannelState;
import io.netty.channel.ChannelStateEvent;
import io.netty.channel.ChannelUpstreamHandler;
import io.netty.channel.Channels;
import io.netty.util.ExternalResourceReleasable;
import io.netty.util.internal.ExecutorUtil;

/**
* Forwards an upstream {@link ChannelEvent} to an {@link Executor}.
* <p>
* {@link ExecutionHandler} is often used when your {@link ChannelHandler}
* performs a blocking operation that takes long time or accesses a resource
* which is not CPU-bound business logic such as DB access.  Running such
* operations in a pipeline without an {@link ExecutionHandler} will result in
* unwanted hiccup during I/O because an I/O thread cannot perform I/O until
* your handler returns the control to the I/O thread.
* <p>
* In most cases, an {@link ExecutionHandler} is coupled with an
* {@link OrderedMemoryAwareThreadPoolExecutor} because it guarantees the
* correct event execution order and prevents an {@link OutOfMemoryError}
* under load:
* <pre>
* public class DatabaseGatewayPipelineFactory implements {@link ChannelPipelineFactory} {
*
*     <b>private final {@link ExecutionHandler} executionHandler;</b>
*
*     public DatabaseGatewayPipelineFactory({@link ExecutionHandler} executionHandler) {
*         this.executionHandler = executionHandler;
*     }
*
*     public {@link ChannelPipeline} getPipeline() {
*         return {@link Channels}.pipeline(
*                 new DatabaseGatewayProtocolEncoder(),
*                 new DatabaseGatewayProtocolDecoder(),
*                 <b>executionHandler, // Must be shared</b>
*                 new DatabaseQueryingHandler());
*     }
* }
* ...
*
* public static void main(String[] args) {
*     {@link ServerBootstrap} bootstrap = ...;
*     ...
*     <b>{@link ExecutionHandler} executionHandler = new {@link ExecutionHandler}(
*             new {@link OrderedMemoryAwareThreadPoolExecutor}(16, 1048576, 1048576))
*     bootstrap.setPipelineFactory(
*             new DatabaseGatewayPipelineFactory(executionHandler));</b>
*     ...
*     bootstrap.bind(...);
*     ...
*
*     while (!isServerReadyToShutDown()) {
*         // ... wait ...
*     }
*
*     bootstrap.releaseExternalResources();
*     <b>executionHandler.releaseExternalResources();</b>
* }
* </pre>
*
* Please refer to {@link OrderedMemoryAwareThreadPoolExecutor} for the
* detailed information about how the event order is guaranteed.
*
* <h3>SEDA (Staged Event-Driven Architecture)</h3>
* You can implement an alternative thread model such as
* <a href="http://en.wikipedia.org/wiki/Staged_event-driven_architecture">SEDA</a>
* by adding more than one {@link ExecutionHandler} to the pipeline.
*
* <h3>Using other {@link Executor} implementation</h3>
*
* Although it's recommended to use {@link OrderedMemoryAwareThreadPoolExecutor},
* you can use other {@link Executor} implementations.  However, you must note
* that other {@link Executor} implementation might break your application
* because they often do not maintain event execution order nor interact with
* I/O threads to control the incoming traffic and avoid {@link OutOfMemoryError}.
*
* @apiviz.landmark
* @apiviz.has java.util.concurrent.ThreadPoolExecutor
*/
@Sharable
public class ExecutionHandler implements ChannelUpstreamHandler, ChannelDownstreamHandler, ExternalResourceReleasable {

    private final Executor executor;
    private final boolean handleDownstream;

    /**
     * Creates a new instance with the specified {@link Executor}.
     * Specify an {@link OrderedMemoryAwareThreadPoolExecutor} if unsure.
     */
    public ExecutionHandler(Executor executor) {
        this(executor, false);
    }
   
    /**
     * Creates a new instance with the specified {@link Executor}.
     * Specify an {@link OrderedMemoryAwareThreadPoolExecutor} if unsure.
     */
    public ExecutionHandler(Executor executor, boolean handleDownstream) {
        if (executor == null) {
            throw new NullPointerException("executor");
        }
        this.executor = executor;
        this.handleDownstream = handleDownstream;
    }

    /**
     * Returns the {@link Executor} which was specified with the constructor.
     */
    public Executor getExecutor() {
        return executor;
    }

    /**
     * Shuts down the {@link Executor} which was specified with the constructor
     * and wait for its termination.
     */
    @Override
    public void releaseExternalResources() {
        Executor executor = getExecutor();
        ExecutorUtil.terminate(executor);
        if (executor instanceof ExternalResourceReleasable) {
            ((ExternalResourceReleasable) executor).releaseExternalResources();
        }
    }

    @Override
    public void handleUpstream(
            ChannelHandlerContext context, ChannelEvent e) throws Exception {
        executor.execute(new ChannelUpstreamEventRunnable(context, e));
    }

    @Override
    public void handleDownstream(
            ChannelHandlerContext ctx, ChannelEvent e) throws Exception {
        // check if the read was suspend
        if (!handleReadSuspend(ctx, e)) {
            if (handleDownstream) {
                executor.execute(new ChannelDownstreamEventRunnable(ctx, e));
            } else {
                ctx.sendDownstream(e);
            }
        }
    }
   
    /**
     * Handle suspended reads
     */
    protected boolean handleReadSuspend(ChannelHandlerContext ctx, ChannelEvent e) {
        if (e instanceof ChannelStateEvent) {
            ChannelStateEvent cse = (ChannelStateEvent) e;
            if (cse.getState() == ChannelState.INTEREST_OPS &&
                (((Integer) cse.getValue()).intValue() & Channel.OP_READ) != 0) {

                // setReadable(true) requested
                boolean readSuspended = ctx.getAttachment() != null;
                if (readSuspended) {
                    // Drop the request silently if MemoryAwareThreadPool has
                    // set the flag.
                    e.getFuture().setSuccess();
                    return true;
                }
            }
        }

        return false;
    }
}
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