我们正在尝试使用Apache Storm来处理大量（虚假的）消息。
消息示例：
我们当前的 Storm 配置：
我们的 Storm 拓扑结构：
我们使用AWS c3.2xlarge机器，Apache Storm 0.9.2-incubating和Apache Kafka 2.9.2-0.8.1.1。
"{"clientName":"Sergey Bakulin","sum":12925,"group":"property","suspicious":false,"clientId":2,"dt":1404387303764,"coord":{"lat":55.767842588357645,"lon":37.46920361823332}}".
我们正在将Apache Kafka作为Storm集群消息的源。我们的目标是能够每个节点处理至少50k条消息/秒。当我们使用多个节点时，如果出现以下错误，我们会不断卡住（日志片段来自worker-*.log）：
2014-07-03 15:14:47 b.s.m.n.Client [INFO] failed to send requests to ip-172-31-23-123.eu-west-1.compute.internal/172.31.23.123:6701: java.nio.channels.ClosedChannelException: null
at org.jboss.netty.channel.socket.nio.AbstractNioWorker.cleanUpWriteBuffer(AbstractNioWorker.java:381) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.channel.socket.nio.AbstractNioWorker.close(AbstractNioWorker.java:349) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.channel.socket.nio.NioWorker.read(NioWorker.java:93) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.channel.socket.nio.AbstractNioWorker.process(AbstractNioWorker.java:107) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.channel.socket.nio.AbstractNioSelector.run(AbstractNioSelector.java:312) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.channel.socket.nio.AbstractNioWorker.run(AbstractNioWorker.java:88) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.channel.socket.nio.NioWorker.run(NioWorker.java:178) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.util.ThreadRenamingRunnable.run(ThreadRenamingRunnable.java:108) [netty-3.6.3.Final.jar:na]
at org.jboss.netty.util.internal.DeadLockProofWorker$1.run(DeadLockProofWorker.java:42) [netty-3.6.3.Final.jar:na]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) [na:1.7.0_51]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) [na:1.7.0_51]
at java.lang.Thread.run(Thread.java:744) [na:1.7.0_51]
2014-07-03 15:14:47 b.s.m.n.StormClientErrorHandler [INFO] Connection failed Netty-Client-ip-172-31-23-123.eu-west-1.compute.internal/172.31.23.123:6701
我们当前的 Storm 配置：
########### These MUST be filled in for a storm configuration
storm.zookeeper.servers:
- "172.31.*.*"
storm.local.dir: "/home/*/storm/data"
nimbus.host: "127.0.0.1"
supervisor.slots.ports:
- 6701
- 6702
ui.port: 8090
worker.childopts: "-Xmx6g -Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=1%ID% -Dcom.sun.management.jmxremote.local.only=false -Dcom.sun$
supervisor.childopts: "-Xmx1024m -Djava.net.preferIPv4Stack=true"
supervisor.worker.start.timeout.secs: 10
supervisor.worker.timeout.secs: 10
supervisor.monitor.frequency.secs: 3
supervisor.heartbeat.frequency.secs: 5
supervisor.enable: true
storm.messaging.netty.server_worker_threads: 2
storm.messaging.netty.client_worker_threads: 2
storm.messaging.netty.buffer_size: 5242880
storm.messaging.netty.max_retries: 25
storm.messaging.netty.max_wait_ms: 1000
我们的 Storm 拓扑结构：
Properties conf = Util.readProperties(ClientTopology.class, "storm.properties");
prepareRedisDB(conf);
TopologyBuilder builder = new TopologyBuilder();
builder.setSpout("kafka_trans_spout", getKafkaSpout(conf, conf.getProperty("kafka_trans_topic")), 3);
builder.setSpout("kafka_socevent_spout", getKafkaSpout(conf, conf.getProperty("kafka_socevent_topic")), 3);
builder.setBolt("json_to_tuple_trans_bolt", new JSONToTupleBolt(Transaction.class), 6)
.shuffleGrouping("kafka_trans_spout");
builder.setBolt("json_to_tuple_socevent_bolt", new JSONToTupleBolt(SocialEvent.class), 3)
.shuffleGrouping("kafka_socevent_spout");
builder.setBolt("alert_bolt", new AlertBolt(conf), 3)
.fieldsGrouping("json_to_tuple_trans_bolt", new Fields("cl_id"))
.fieldsGrouping("json_to_tuple_socevent_bolt", new Fields("cl_id"));
builder.setBolt("offer_bolt", new NearestOfferBolt(conf), 3)
.shuffleGrouping("json_to_tuple_trans_bolt");
run(builder, args, 6);
private static KafkaSpout getKafkaSpout(Properties conf, String topic) {
SpoutConfig spoutConfig = new SpoutConfig(
new ZkHosts(conf.getProperty("zk_host"), "/brokers"),
topic,
"/brokers",
conf.getProperty("kafka_consumer_group_id"));
List<String> zkServers = new ArrayList<String>();
zkServers.add(conf.getProperty("zk_host"));
spoutConfig.zkServers = zkServers;
spoutConfig.zkPort = Integer.valueOf(conf.getProperty("zk_port"));
spoutConfig.scheme = new SchemeAsMultiScheme(new StringScheme());
spoutConfig.forceFromStart = true;
spoutConfig.fetchSizeBytes = 5*1024*1024;
spoutConfig.bufferSizeBytes = 5*1024*1024;
storm.kafka.KafkaSpout kafkaSpout = new storm.kafka.KafkaSpout(spoutConfig);
return kafkaSpout;
}
我们使用AWS c3.2xlarge机器，Apache Storm 0.9.2-incubating和Apache Kafka 2.9.2-0.8.1.1。