├── .gitignore ├── LICENSE ├── README.md ├── README_CN.md ├── dependency-reduced-pom.xml ├── pom.xml └── src └── main ├── java └── com │ └── colobu │ └── kafka │ ├── ConsumerExample.java │ ├── ProducerExample.java │ └── SimplePartitioner.java └── scala └── com └── colobu └── kafka ├── ScalaConsumerExample.scala └── ScalaProducerExample.scala /.gitignore: -------------------------------------------------------------------------------- 1 | .idea 2 | .settings 3 | .classpath 4 | .project 5 | .cache 6 | *.iml 7 | *.log* 8 | *.swp 9 | target 10 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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-------------------------------------------------------------------------------- 1 | [![Build Status](https://drone.io/github.com/smallnest/kafka-example-in-scala/status.png)](https://drone.io/github.com/smallnest/kafka-example-in-scala/latest) 2 | 3 | kafka producer and consumer example in scala and java 4 | 5 | you can test with local server. 6 | 7 | ### start zookeeper 8 | if you have installed zookeeper, start it, or 9 | run the command: 10 | ``` sh 11 | bin/zookeeper-server-start.sh config/zookeeper.properties 12 | ``` 13 | 14 | ### start kafka with default configuration 15 | ``` sh 16 | > bin/kafka-server-start.sh config/server.properties 17 | ``` 18 | 19 | ### create a topic 20 | ``` sh 21 | > bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 10 --topic test_topic 22 | ``` 23 | 24 | ### package this example 25 | ``` sh 26 | mvn clean package 27 | ``` 28 | 29 | it will package compiled classes and its dependencies into a jar. 30 | 31 | ### Run the Producer 32 | This example also contains two producers written in Java and in scala. 33 | you can run this for java: 34 | ``` sh 35 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ProducerExample 10000 test_topic localhost:9092 36 | ``` 37 | or this for scala 38 | ``` sh 39 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ScalaProducerExample 10000 test_topic localhost:9092 40 | ``` 41 | 42 | ### Run the Consumer 43 | This example contains two consumers written in Java and in scala. 44 | You can run this for java: 45 | ``` sh 46 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ConsumerExample localhost:9092 group1 test_topic 10 0 47 | ``` 48 | 49 | or this for scala: 50 | ``` sh 51 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ScalaConsumerExample localhost:9092 group1 test_topic 10 0 52 | ``` 53 | 54 | 55 | -------------------------------------------------------------------------------- /README_CN.md: -------------------------------------------------------------------------------- 1 | 这个项目提供了Kafka Producer 和 High level consumer的例子。 2 | 所有的例子都提供了两个版本: Java版本和Scala版本。 可以用来用作编写Kafka producer和consumer的模板。 3 | 4 | 你可以在单机上进行测试。下面是测试参考。 这里Kafka部署成一个节点，在单机上你也可以将Kafka部署成一个集群。 5 | 6 | ### 启动zookeeper 7 | 如果你已经启动了zookeeper,跳过这一步。 8 | 否则必须先启动zookeeper。 运行下面的命令: 9 | ``` sh 10 | bin/zookeeper-server-start.sh config/zookeeper.properties 11 | ``` 12 | 13 | ### 使用默认配置启动kafka 14 | kafka提供了很多配置参数用来调优，但是这里我们使用它的默认设置启动。 15 | ``` sh 16 | > bin/kafka-server-start.sh config/server.properties 17 | ``` 18 | 19 | ### 创建一个topic 20 | ``` sh 21 | > bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 10 --topic test_topic 22 | ``` 23 | 24 | ### 打包代码 25 | ``` sh 26 | mvn clean package 27 | ``` 28 | 运行上面的命令会将java代码和scala代码编译打包，并且还会将依赖类打包到一个jar文件中。 29 | 30 | ### 运行 consumer 31 | 这个例子包含两套代码。 32 | 运行java编写的consumer: 33 | ``` sh 34 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ConsumerExample localhost:9092 group1 test_topic 10 0 35 | ``` 36 | 37 | 或者运行scala编写的consumer: 38 | ``` sh 39 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ScalaConsumerExample localhost:9092 group1 test_topic 10 0 40 | ``` 41 | 42 | ### 运行 producer 43 | 这个例子包含两个producer例子，分别由java和scala编写。 44 | 运行java编写的producer: 45 | ``` sh 46 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ProducerExample 10000 colobu localhost:9092 47 | ``` 48 | 运行scala的例子。 49 | ``` sh 50 | java -cp kafka_example-0.1.0-SNAPSHOT.jar com.colobu.kafka.ScalaProducerExample 10000 colobu localhost:9092 51 | ``` 52 | -------------------------------------------------------------------------------- /dependency-reduced-pom.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4.0.0 4 | com.colobu 5 | kafka_example 6 | kafka 7 | 0.1.0-SNAPSHOT 8 | http://maven.apache.org 9 | 10 | 11 | 12 | net.alchim31.maven 13 | scala-maven-plugin 14 | 3.2.2 15 | 16 | 17 | 18 | compile 19 | testCompile 20 | 21 | 22 | 23 | 24 | 25 | maven-shade-plugin 26 | 2.4.3 27 | 28 | 29 | package 30 | 31 | shade 32 | 33 | 34 | 35 | 36 | com.colobu.kafka.ConsumerExample 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | junit 48 | junit 49 | 3.8.1 50 | test 51 | 52 | 53 | 54 | 1.8 55 | UTF-8 56 | 1.8 57 | 58 | 59 | 60 | -------------------------------------------------------------------------------- /pom.xml: -------------------------------------------------------------------------------- 1 | 3 | 4.0.0 4 | 5 | com.colobu 6 | kafka_example 7 | 0.1.0-SNAPSHOT 8 | jar 9 | 10 | kafka 11 | http://maven.apache.org 12 | 13 | 14 | UTF-8 15 | 16 | 1.8 17 | 1.8 18 | 19 | 20 | 21 | 22 | 23 | org.apache.kafka 24 | kafka_2.11 25 | 0.10.1.0 26 | 27 | 28 | jmxri 29 | com.sun.jmx 30 | 31 | 32 | jmxtools 33 | com.sun.jdmk 34 | 35 | 36 | jms 37 | javax.jms 38 | 39 | 40 | junit 41 | junit 42 | 43 | 44 | 45 | 46 | junit 47 | junit 48 | 3.8.1 49 | test 50 | 51 | 52 | 53 | 54 | 55 | 56 | net.alchim31.maven 57 | scala-maven-plugin 58 | 3.2.2 59 | 60 | 61 | 62 | compile 63 | testCompile 64 | 65 | 66 | 67 | 68 | 69 | org.apache.maven.plugins 70 | maven-shade-plugin 71 | 2.4.3 72 | 73 | 74 | package 75 | 76 | shade 77 | 78 | 79 | 80 | 82 | com.colobu.kafka.ConsumerExample 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | -------------------------------------------------------------------------------- /src/main/java/com/colobu/kafka/ConsumerExample.java: -------------------------------------------------------------------------------- 1 | package com.colobu.kafka; 2 | 3 | import org.apache.kafka.clients.consumer.ConsumerConfig; 4 | import org.apache.kafka.clients.consumer.ConsumerRecord; 5 | import org.apache.kafka.clients.consumer.ConsumerRecords; 6 | import org.apache.kafka.clients.consumer.KafkaConsumer; 7 | 8 | import java.util.Collections; 9 | import java.util.Properties; 10 | import java.util.concurrent.ExecutorService; 11 | import java.util.concurrent.Executors; 12 | 13 | /** 14 | * 消费者例子. 15 | * 16 | */ 17 | public class ConsumerExample { 18 | private final KafkaConsumer consumer; 19 | private final String topic; 20 | private ExecutorService executor; 21 | private long delay; 22 | 23 | 24 | public ConsumerExample(Properties props, String topic) { 25 | consumer = new KafkaConsumer<>(props); 26 | this.topic = topic; 27 | } 28 | 29 | public void shutdown() { 30 | if (consumer != null) 31 | consumer.close(); 32 | if (executor != null) 33 | executor.shutdown(); 34 | } 35 | 36 | public void run() { 37 | consumer.subscribe(Collections.singletonList(this.topic)); 38 | 39 | Executors.newSingleThreadExecutor().execute(() -> { 40 | while(true) { 41 | try { 42 | ConsumerRecords records = consumer.poll(1000); 43 | for (ConsumerRecord record : records) { 44 | System.out.println("Received message: (" + record.key() + ", " + record.value() + ") at offset " + record.offset()); 45 | } 46 | }catch(Exception ex) { 47 | ex.printStackTrace(); 48 | } 49 | } 50 | }); 51 | 52 | } 53 | 54 | /** 55 | * consumer 配置. 56 | * 57 | * @param brokers brokers 58 | * @param groupId 组名 59 | * @return 60 | */ 61 | private static Properties createConsumerConfig(String brokers, String groupId) { 62 | Properties props = new Properties(); 63 | props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, brokers); 64 | props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); 65 | props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true"); 66 | props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000"); 67 | props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "30000"); 68 | props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer"); 69 | props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer"); 70 | 71 | //props.put("auto.commit.enable", "false"); 72 | 73 | return props; 74 | } 75 | 76 | public static void main(String[] args) throws InterruptedException { 77 | String brokers = args[0]; 78 | String groupId = args[1]; 79 | String topic = args[2]; 80 | Properties props = createConsumerConfig(brokers, groupId); 81 | ConsumerExample example = new ConsumerExample(props, topic); 82 | example.run(); 83 | 84 | Thread.sleep(24*60*60*1000); 85 | 86 | example.shutdown(); 87 | } 88 | } -------------------------------------------------------------------------------- /src/main/java/com/colobu/kafka/ProducerExample.java: -------------------------------------------------------------------------------- 1 | package com.colobu.kafka; 2 | 3 | import org.apache.kafka.clients.producer.KafkaProducer; 4 | import org.apache.kafka.clients.producer.ProducerRecord; 5 | 6 | import java.util.Date; 7 | import java.util.Properties; 8 | import java.util.Random; 9 | 10 | /** 11 | * Producer例子，可以往topic上发送指定数量的消息. 12 | * 消息格式为: 发送时间,编号,网址,ip 13 | */ 14 | public class ProducerExample { 15 | public static void main(String[] args) { 16 | long events = Long.parseLong(args[0]); 17 | String topic = args[1]; 18 | String brokers = args[2]; 19 | Random rnd = new Random(); 20 | 21 | Properties props = new Properties(); 22 | props.put("bootstrap.servers", brokers); 23 | props.put("client.id", "ProducerExample"); 24 | props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer"); 25 | props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer"); 26 | 27 | 28 | KafkaProducer producer = new KafkaProducer(props); 29 | 30 | long t = System.currentTimeMillis(); 31 | for (long nEvents = 0; nEvents < events; nEvents++) { 32 | long runtime = new Date().getTime(); 33 | String ip = "192.168.2." + rnd.nextInt(255); 34 | String msg = runtime + "," + nEvents + ",www.example.com," + ip; 35 | try { 36 | //async 37 | producer.send(new ProducerRecord(topic, ip, msg), (recordMetadata,e) ->{}); 38 | //sync 39 | 40 | producer.send(new ProducerRecord(topic, ip, msg)).get(); 41 | } catch (Exception ex) { 42 | ex.printStackTrace(); 43 | } 44 | } 45 | 46 | System.out.println("sent per second: " + events * 1000 / (System.currentTimeMillis() - t)); 47 | producer.close(); 48 | } 49 | } -------------------------------------------------------------------------------- /src/main/java/com/colobu/kafka/SimplePartitioner.java: -------------------------------------------------------------------------------- 1 | package com.colobu.kafka; 2 | 3 | 4 | import kafka.utils.VerifiableProperties; 5 | import org.apache.kafka.clients.producer.Partitioner; 6 | import org.apache.kafka.common.Cluster; 7 | 8 | import java.util.Map; 9 | 10 | /** 11 | * 简单分区类. 12 | * 得到ip地址的最后一个数，然后对分区数取余. 13 | */ 14 | public class SimplePartitioner implements Partitioner { 15 | 16 | 17 | public int partition(Object key, int numPartitions) { 18 | int partition = 0; 19 | String stringKey = (String) key; 20 | int offset = stringKey.lastIndexOf('.'); 21 | if (offset > 0) { 22 | partition = Integer.parseInt(stringKey.substring(offset + 1)) % numPartitions; 23 | } 24 | return partition; 25 | } 26 | 27 | @Override 28 | public int partition(String s, Object o, byte[] bytes, Object o1, byte[] bytes1, Cluster cluster) { 29 | int totalP = cluster.partitionCountForTopic(s); 30 | 31 | int partition = 0; 32 | String stringKey = (String) o; 33 | int offset = stringKey.lastIndexOf('.'); 34 | if (offset > 0) { 35 | partition = Integer.parseInt(stringKey.substring(offset + 1)) % totalP; 36 | } 37 | return partition; 38 | } 39 | 40 | @Override 41 | public void close() { 42 | 43 | } 44 | 45 | @Override 46 | public void configure(Map map) { 47 | 48 | } 49 | } -------------------------------------------------------------------------------- /src/main/scala/com/colobu/kafka/ScalaConsumerExample.scala: -------------------------------------------------------------------------------- 1 | package com.colobu.kafka 2 | 3 | import java.util.concurrent._ 4 | import java.util.{Collections, Properties} 5 | 6 | import kafka.consumer.KafkaStream 7 | import kafka.utils.Logging 8 | import org.apache.kafka.clients.consumer.{ConsumerConfig, KafkaConsumer} 9 | 10 | import scala.collection.JavaConversions._ 11 | 12 | class ScalaConsumerExample(val brokers: String, 13 | val groupId: String, 14 | val topic: String) extends Logging { 15 | 16 | val props = createConsumerConfig(brokers, groupId) 17 | val consumer = new KafkaConsumer[String, String](props) 18 | var executor: ExecutorService = null 19 | 20 | def shutdown() = { 21 | if (consumer != null) 22 | consumer.close(); 23 | if (executor != null) 24 | executor.shutdown(); 25 | } 26 | 27 | def createConsumerConfig(brokers: String, groupId: String): Properties = { 28 | val props = new Properties() 29 | props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, brokers) 30 | props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId) 31 | props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true") 32 | props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000") 33 | props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "30000") 34 | props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer") 35 | props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer") 36 | props 37 | } 38 | 39 | def run() = { 40 | consumer.subscribe(Collections.singletonList(this.topic)) 41 | 42 | Executors.newSingleThreadExecutor.execute( new Runnable { 43 | override def run(): Unit = { 44 | while (true) { 45 | val records = consumer.poll(1000) 46 | 47 | for (record <- records) { 48 | System.out.println("Received message: (" + record.key() + ", " + record.value() + ") at offset " + record.offset()) 49 | } 50 | } 51 | } 52 | }) 53 | } 54 | } 55 | 56 | object ScalaConsumerExample extends App { 57 | val example = new ScalaConsumerExample(args(0), args(1), args(2)) 58 | example.run() 59 | } 60 | -------------------------------------------------------------------------------- /src/main/scala/com/colobu/kafka/ScalaProducerExample.scala: -------------------------------------------------------------------------------- 1 | package com.colobu.kafka 2 | 3 | import java.util.{Date, Properties} 4 | 5 | import org.apache.kafka.clients.producer.{KafkaProducer, ProducerRecord} 6 | 7 | import scala.util.Random 8 | 9 | object ScalaProducerExample extends App { 10 | val events = args(0).toInt 11 | val topic = args(1) 12 | val brokers = args(2) 13 | val rnd = new Random() 14 | val props = new Properties() 15 | props.put("bootstrap.servers", brokers) 16 | props.put("client.id", "ScalaProducerExample") 17 | props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer") 18 | props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer") 19 | 20 | 21 | val producer = new KafkaProducer[String, String](props) 22 | val t = System.currentTimeMillis() 23 | for (nEvents <- Range(0, events)) { 24 | val runtime = new Date().getTime() 25 | val ip = "192.168.2." + rnd.nextInt(255) 26 | val msg = runtime + "," + nEvents + ",www.example.com," + ip 27 | val data = new ProducerRecord[String, String](topic, ip, msg) 28 | 29 | //async 30 | //producer.send(data, (m,e) => {}) 31 | //sync 32 | producer.send(data) 33 | } 34 | 35 | System.out.println("sent per second: " + events * 1000 / (System.currentTimeMillis() - t)) 36 | producer.close() 37 | } --------------------------------------------------------------------------------