0.8.2kafka集群配置
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hadoop,spark,kafka交流群:224209501
1,kafka配置
kafka官网的配置参数基本已经满足大家的需求了。
# Replication configurations
num.replica.fetchers=4
replica.fetch.max.bytes=1048576
replica.fetch.wait.max.ms=500
replica.high.watermark.checkpoint.interval.ms=5000
replica.socket.timeout.ms=30000
replica.socket.receive.buffer.bytes=65536
replica.lag.time.max.ms=10000
replica.lag.max.messages=4000
controller.socket.timeout.ms=30000
controller.message.queue.size=10
# Log configuration
num.partitions=8
message.max.bytes=1000000
auto.create.topics.enable=true
log.index.interval.bytes=4096
log.index.size.max.bytes=10485760
log.retention.hours=168
log.flush.interval.ms=10000
log.flush.interval.messages=20000
log.flush.scheduler.interval.ms=2000
log.roll.hours=168
log.retention.check.interval.ms=300000
log.segment.bytes=1073741824
# ZK configuration
zookeeper.connection.timeout.ms=6000
zookeeper.sync.time.ms=2000
# Socket server configuration
num.io.threads=8
num.network.threads=8
socket.request.max.bytes=104857600
socket.receive.buffer.bytes=1048576
socket.send.buffer.bytes=1048576
queued.max.requests=16
fetch.purgatory.purge.interval.requests=100
producer.purgatory.purge.interval.requests=100
kafka集群配置
1,修该broker id
broker.id [阿拉伯数字,集群中不能重复]
2,zookeeper的地址列表
zookeeper.connect=ukafka-rmicyl-1-bj04.service:2181,ukafka-rmicyl-2-bj04.service:2181,ukafka-rmicyl-3-bj04.service:2181
3,广播参数
假如broker所在为内网环境并经过nat,consumer和producer所在网络在nat外部,需要配置这两个参数为nat网关ip和响应端口。kafka目前还不支持,内外网(consumer和producer一个在内网一个在外网)。
# Hostname the broker will advertise to producers and consumers. If not set, it uses the
# value for "host.name" if configured. Otherwise, it will use the value returned from
# java.net.InetAddress.getCanonicalHostName().
advertised.host.name=<hostname routable by clients>
# The port to publish to ZooKeeper for clients to use. If this is not set,
# it will publish the same port that the broker binds to.
advertised.port=<port accessible by clients>
Kafka 0.10.0 这个版本参数如下:
# The address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
# FORMAT:
# listeners = security_protocol://host_name:port
# EXAMPLE:
# listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://your.host.name:9092
# Hostname and port the broker will advertise to producers and consumers. If not set,
# it uses the value for "listeners" if configured. Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
advertised.listeners=PLAINTEXT://your.host.name:9092
kafka的生产者demo
props.put("metadata.broker.list", "ip1:9092,ip2:9092,ip3:9092");
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("batch.size", "307200");
props.put("linger.ms", "10");
props.put("producer.type", "async");
config = new ProducerConfig(props);
producer = new Producer<String, String>(config);
String key=hell0;
String value=hi;
for(int i=0;i<10i++)
KeyedMessage<String, String> msg = new KeyedMessage<String, String>(topic, key+Integer.toString(i), value+Integer.toString(i));
producer.send(msg);
消费者demo
import kafka.consumer.ConsumerConfig;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
public class ConsumerGroupExample
private final ConsumerConnector consumer;
private final String topic;
private ExecutorService executor;
public ConsumerGroupExample(String a_zookeeper, String a_groupId, String a_topic)
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(
createConsumerConfig(a_zookeeper, a_groupId));
this.topic = a_topic;
public void shutdown()
if (consumer != null) consumer.shutdown();
if (executor != null) executor.shutdown();
try
if (!executor.awaitTermination(5000, TimeUnit.MILLISECONDS))
System.out.println("Timed out waiting for consumer threads to shut down, exiting uncleanly");
catch (InterruptedException e)
System.out.println("Interrupted during shutdown, exiting uncleanly");
public void run(int a_numThreads)
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, new Integer(a_numThreads));
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountMap);
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
// now launch all the threads
//
executor = Executors.newFixedThreadPool(a_numThreads);
// now create an object to consume the messages
//
int threadNumber = 0;
for (final KafkaStream stream : streams)
executor.submit(new ConsumerTest(stream, threadNumber));
threadNumber++;
private static ConsumerConfig createConsumerConfig(String a_zookeeper, String a_groupId)
Properties props = new Properties();
props.put("zookeeper.connect", a_zookeeper);
props.put("group.id", a_groupId);
props.put("zookeeper.session.timeout.ms", "400");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
return new ConsumerConfig(props);
public static void main(String[] args)
String zooKeeper = args[0];
String groupId = args[1];
String topic = args[2];
int threads = Integer.parseInt(args[3]);
ConsumerGroupExample example = new ConsumerGroupExample(zooKeeper, groupId, topic);
example.run(threads);
try
Thread.sleep(10000);
catch (InterruptedException ie)
example.shutdown();
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