Kafka-0.10.0.0入门

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搭建环境略(伪集群即可以),但要注意Kafka的配置必须配置的,少配了也一样可以用，但是只能单机使用，外部机器无法连接，网上也有说。

host.name=192.168.1.30

advertised.host.name=192.168.1.30

interfaceshost.name=192.168.1.30

0.10.0.0应该和0.9一样缺少log4j的依赖，不能直接log4j TO kafka。 想用的可以依赖kafka-log4j-appender此包即可,或者flume协同

<dependency>

<groupId>org.apache.kafka</groupId>

<artifactId>kafka-log4j-appender</artifactId>

<version>0.10.0.0</version>

</dependency>

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客户端命令:

消息者（全）

kafka-console-consumer.sh --zookeeper localhost:2181 --topic my-topic --from-beginning

生产者

????????bin/kafka-console-producer.sh?--broker-list?localhost:9092?--topic?my-topic

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JAVA生产、消费(直接上官方例子)

生产都

1. Properties props = new Properties();
2. props.put("bootstrap.servers", "localhost:9092");
3. props.put("acks", "all");
4. props.put("retries ", 1);
5. props.put("buffer.memory", 33554432);
6. props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
7. props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
8. ?
9. Producer<String, String> producer = new KafkaProducer<>(props);
10. for(int i = 0; i < 100; i++)
11. ????producer.send(new ProducerRecord<String, String>("my-topic", Integer.toString(i), Integer.toString(i)));
12. producer.close();

消费者

1. ?
2. volatile RUNNING =true;
3. ?
4. Properties props = new Properties();
5. props.put("bootstrap.servers", "localhost:9092");
6. props.put("group.id", "test");//不同ID 可以同时订阅消息
7. props.put("enable.auto.commit", "false");
8. props.put("auto.commit.interval.ms", "1000");
9. props.put("session.timeout.ms", "30000");
10. props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
11. props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
12. KafkaConsumer<String, String> consumer = new KafkaConsumer<>(props);
13. consumer.subscribe(Arrays.asList("foo", "bar" , " my-topic "));//订阅TOPIC
14. try {
15. ????while(RUNNING) {//轮询
16. ????????ConsumerRecords<String, String> records = consumer.poll(Long.MAX_VALUE);
17. ????????for (TopicPartition partition : records.partitions()) {
18. ????????????List<ConsumerRecord<String, String>> partitionRecords = records.records(partition);
19. ????????????for (ConsumerRecord<String, String> record : partitionRecords) {
20. ??? ?//可以自定义Handler,处理对应的TOPIC消息(partitionRecords.key())
21. ????????????????System.out.println(record.offset() + ": " + record.value());
22. ????????????}
23. ????????????consumer.commitSync();//同步
24. ????????}
25. ????}
26. } finally {
27. ??consumer.close();
28. }

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总结：已经服务化的东西，只能说，一:学学配置，二：学学使用方法，从中增加需要的逻辑。一般都是黑箱，要改底层，得先遇到场景。用起来比较容易

Kafka-0.10.0.0入门

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原文地址：http://www.cnblogs.com/cheuks/p/5640051.html