@Override
protected Endpoint createEndpoint(String uri, String remaining, Map<String, Object> parameters)
throws Exception {
NettyConfiguration config;
if (configuration != null) {
config = configuration.copy();
} else {
config = new NettyConfiguration();
}
config = parseConfiguration(config, remaining, parameters);
// merge any custom bootstrap configuration on the config
NettyServerBootstrapConfiguration bootstrapConfiguration =
resolveAndRemoveReferenceParameter(
parameters, "bootstrapConfiguration", NettyServerBootstrapConfiguration.class);
if (bootstrapConfiguration != null) {
Map<String, Object> options = new HashMap<String, Object>();
if (IntrospectionSupport.getProperties(bootstrapConfiguration, options, null, false)) {
IntrospectionSupport.setProperties(getCamelContext().getTypeConverter(), config, options);
}
}
// validate config
config.validateConfiguration();
NettyEndpoint nettyEndpoint = new NettyEndpoint(remaining, this, config);
nettyEndpoint.setTimer(getTimer());
setProperties(nettyEndpoint.getConfiguration(), parameters);
return nettyEndpoint;
}
@Override
protected Endpoint createEndpoint(String uri, String remaining, Map<String, Object> parameters)
throws Exception {
NettyConfiguration config;
if (configuration != null) {
config = configuration.copy();
} else {
config = new NettyConfiguration();
}
config.parseURI(new URI(remaining), parameters, this);
NettyEndpoint nettyEndpoint = new NettyEndpoint(remaining, this, config);
nettyEndpoint.setTimer(getTimer());
setProperties(nettyEndpoint.getConfiguration(), parameters);
return nettyEndpoint;
}
protected OrderedMemoryAwareThreadPoolExecutor createExecutorService() {
// use ordered thread pool, to ensure we process the events in order, and can send back
// 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
// NOTE: if we don't specify the MaxChannelMemorySize and MaxTotalMemorySize, the thread pool
// could eat up all the heap memory when the tasks are added very fast
String pattern = getCamelContext().getExecutorServiceManager().getThreadNamePattern();
ThreadFactory factory = new CamelThreadFactory(pattern, "NettyOrderedWorker", true);
return new OrderedMemoryAwareThreadPoolExecutor(
getMaximumPoolSize(),
configuration.getMaxChannelMemorySize(),
configuration.getMaxTotalMemorySize(),
30,
TimeUnit.SECONDS,
factory);
}
@Override
protected void doStart() throws Exception {
if (timer == null) {
HashedWheelTimer hashedWheelTimer = new HashedWheelTimer();
hashedWheelTimer.start();
timer = hashedWheelTimer;
}
if (configuration == null) {
configuration = new NettyConfiguration();
}
if (configuration.isOrderedThreadPoolExecutor()) {
executorService = createExecutorService();
}
super.doStart();
}
/**
* Parses the configuration
*
* @return the parsed and valid configuration to use
*/
protected NettyConfiguration parseConfiguration(
NettyConfiguration configuration, String remaining, Map<String, Object> parameters)
throws Exception {
configuration.parseURI(new URI(remaining), parameters, this, "tcp", "udp");
return configuration;
}
