Examples of OrderedMemoryAwareThreadPoolExecutor

com.facebook.presto.jdbc.internal.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor
default implementation returns a special ConcurrentMap that // uses identity comparison only (see {@link IdentityHashMap}). // Because SocketAddress does not work with identity comparison, // we need to employ more generic implementation. return new ConcurrentHashMap<Object, Executor> } protected Object getChildExecutorKey( {@link ChannelEvent} e) {// Use the IP of the remote peer as a key. return ((InetSocketAddress) e.getChannel().getRemoteAddress()).getAddress(); } // Make public so that you can call from anywhere. public boolean removeChildExecutor(Object key) { super.removeChildExecutor(key); } } Please be very careful of memory leak of the child executor map. You must call {@link #removeChildExecutor(Object)} when the life cycle of the keyends (e.g. all connections from the same IP were closed.) Also, please keep in mind that the key can appear again after calling {@link #removeChildExecutor(Object)}(e.g. a new connection could come in from the same old IP after removal.) If in doubt, prune the old unused or stall keys from the child executor map periodically:
```
 RemoteAddressBasedOMATPE executor = ...; on every 3 seconds: for (Iterator<Object> i = executor.getChildExecutorKeySet().iterator; i.hasNext();) { InetAddress ip = (InetAddress) i.next(); if (there is no active connection from 'ip' now && there has been no incoming connection from 'ip' for last 10 minutes) { i.remove(); } } 
```
If the expected maximum number of keys is small and deterministic, you could use a weak key map such as ConcurrentWeakHashMap or synchronized {@link WeakHashMap} instead of managing the life cycle of thekeys by yourself. @apiviz.landmark
io.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor
default implementation returns a special ConcurrentMap that // uses identity comparison only (see {@link IdentityHashMap}). // Because SocketAddress does not work with identity comparison, // we need to employ more generic implementation. return new ConcurrentHashMap<Object, Executor> } protected Object getChildExecutorKey( {@link ChannelEvent} e) {// Use the IP of the remote peer as a key. return ((InetSocketAddress) e.getChannel().getRemoteAddress()).getAddress(); } // Make public so that you can call from anywhere. public boolean removeChildExecutor(Object key) { super.removeChildExecutor(key); } } Please be very careful of memory leak of the child executor map. You must call {@link #removeChildExecutor(Object)} when the life cycle of the keyends (e.g. all connections from the same IP were closed.) Also, please keep in mind that the key can appear again after calling {@link #removeChildExecutor(Object)}(e.g. a new connection could come in from the same old IP after removal.) If in doubt, prune the old unused or stall keys from the child executor map periodically:
```
 RemoteAddressBasedOMATPE executor = ...; on every 3 seconds: for (Iterator<Object> i = executor.getChildExecutorKeySet().iterator; i.hasNext();) { InetAddress ip = (InetAddress) i.next(); if (there is no active connection from 'ip' now && there has been no incoming connection from 'ip' for last 10 minutes) { i.remove(); } } 
```
If the expected maximum number of keys is small and deterministic, you could use a weak key map such as ConcurrentWeakHashMap or synchronized {@link WeakHashMap} instead of managing the life cycle of thekeys by yourself. @apiviz.landmark
org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor
A {@link MemoryAwareThreadPoolExecutor} which maintains the{@link ChannelEvent} order for the same {@link Channel}.
Although {@link OrderedMemoryAwareThreadPoolExecutor} guarantees the orderof {@link ChannelEvent}s. It does not guarantee that the invocation will be made by the same thread for the same channel, but it does guarantee that the invocation will be made sequentially for the events of the same channel. For example, the events can be processed as depicted below:
```
 -----------------------------------> Timeline -----------------------------------> Thread X: --- Channel A (Event 1) --.   .-- Channel B (Event 2) --- Channel B (Event 3) ---> \ / X / \ Thread Y: --- Channel B (Event 1) --'   '-- Channel A (Event 2) --- Channel A (Event 3) ---> 
```
Please note that the events of different channels are independent from each other. That is, an event of Channel B will not be blocked by an event of Channel A and vice versa, unless the thread pool is exhausted. @author The Netty Project (netty-dev@lists.jboss.org) @author Trustin Lee (tlee@redhat.com) @author David M. Lloyd (david.lloyd@redhat.com) @version $Rev: 990 $, $Date: 2009-03-06 15:52:26 +0900 (Fri, 06 Mar 2009) $ @apiviz.landmark

Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

        // replies in the expected order. eg this is required by TCP.
        // and use a Camel thread factory so we have consistent thread namings
        // we should use a shared thread pool as recommended by Netty
        String pattern = getCamelContext().getExecutorServiceManager().getThreadNamePattern();
        ThreadFactory factory = new CamelThreadFactory(pattern, "NettyOrderedWorker", true);
        return new OrderedMemoryAwareThreadPoolExecutor(configuration.getMaximumPoolSize(),
                0L, 0L, 30, TimeUnit.SECONDS, factory);
    }

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

        this.protocol = protocol;
        this.context = context;
    }
    
    protected ExecutionHandler createExecutionHandler(int size) {
        return new ExecutionHandler(new OrderedMemoryAwareThreadPoolExecutor(size, 0, 0));
    }

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

  private static ExecutionHandler EXECUTION_HANDLER;


  public synchronized static ExecutionHandler getExecutionHandler()
  {
    if(null == EXECUTION_HANDLER){
      EXECUTION_HANDLER = new ExecutionHandler( new OrderedMemoryAwareThreadPoolExecutor(16, 1048576, 1048576));
    }
    return EXECUTION_HANDLER;
  }

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

    this.xmppSecret = checkNotNull(xmppSecret);
  }


  @Override
  protected void startUp() throws Exception {
    executionHandler = new ExecutionHandler(new OrderedMemoryAwareThreadPoolExecutor(4, 0, 0));
    bootstrap = new ClientBootstrap(new NioClientSocketChannelFactory(Executors.newCachedThreadPool(), Executors.newCachedThreadPool()));
    bootstrap.setPipelineFactory(new ChannelPipelineFactory() {
      @Override
      public ChannelPipeline getPipeline() throws Exception {
        final ChannelPipeline pipeline = Channels.pipeline();

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

        this.protocol = protocol;
        this.secure = secure;
    }
    
    protected ExecutionHandler createExecutionHandler(int size) {
        return new ExecutionHandler(new OrderedMemoryAwareThreadPoolExecutor(size, 0, 0));
    }

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

        // replies in the expected order. eg this is required by TCP.
        // and use a Camel thread factory so we have consistent thread namings
        // we should use a shared thread pool as recommended by Netty
        String pattern = getCamelContext().getExecutorServiceManager().getThreadNamePattern();
        ThreadFactory factory = new CamelThreadFactory(pattern, "NettyOrderedWorker", true);
        return new OrderedMemoryAwareThreadPoolExecutor(configuration.getMaximumPoolSize(),
                0L, 0L, 30, TimeUnit.SECONDS, factory);
    }

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

  public void setup() {
    serverBootstrap = new ServerBootstrap(new NioServerSocketChannelFactory(
        Executors.newCachedThreadPool(), Executors.newCachedThreadPool()));


    serverBootstrap.setPipelineFactory(new ChannelPipelineFactory() {
      Executor executor = new OrderedMemoryAwareThreadPoolExecutor(
          Runtime.getRuntime().availableProcessors(),
          1024 * 1024,
          128 * 1024 * 1024
      );

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

  public void setup() {
    serverBootstrap = new ServerBootstrap(new NioServerSocketChannelFactory(
        Executors.newCachedThreadPool(), Executors.newCachedThreadPool()));


    serverBootstrap.setPipelineFactory(new ChannelPipelineFactory() {
      Executor executor = new OrderedMemoryAwareThreadPoolExecutor(
          Runtime.getRuntime().availableProcessors(),
          1024 * 1024,
          128 * 1024 * 1024
      );

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

        // replies in the expected order. eg this is required by TCP.
        // and use a Camel thread factory so we have consistent thread namings
        // we should use a shared thread pool as recommended by Netty
        String pattern = getCamelContext().getExecutorServiceManager().getThreadNamePattern();
        ThreadFactory factory = new CamelThreadFactory(pattern, "NettyOrderedWorker", true);
        return new OrderedMemoryAwareThreadPoolExecutor(configuration.getMaximumPoolSize(),
                0L, 0L, 30, TimeUnit.SECONDS, factory);
    }

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Examples of org.jboss.netty.handler.execution.OrderedMemoryAwareThreadPoolExecutor

      if (AppContext.scWorkerThreadPool == null) {
        AppContext.scWorkerThreadPool = Executors.newCachedThreadPool(new NamedPriorityThreadFactory("SC_WORKER"));
      }


      if (AppContext.orderedSCWorkerThreadPool == null) {
        AppContext.orderedSCWorkerThreadPool = new OrderedMemoryAwareThreadPoolExecutor(
            Constants.DEFAULT_MAX_ORDERED_IO_THREADS, 0, 0, 10, TimeUnit.SECONDS, new NamedPriorityThreadFactory(
                "ORDERED_SC_WORKER"));
      }
    }
  }

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