一、环境安装配置
1、去官网下载kafka
我下载的版本是 kafka_2.11-0.10.0.1.tgz，下面的实例也是基于该版本。
2、解压安装
tar -xzf kafka_2.11-0.10.0.1.tgz
mv kafka_2.11-0.10.0.1 /root3、修改配置文件
cd /root/kafka_2.11-0.10.0.1/config
cp server.properties server1.properties
cp server.properties server2.properties
cp server.properties server3.properties server1.properties
broker.id=1
listeners=PLAINTEXT://:9092
log.dirs=/tmp/kafka-logs-1
broker.id=2<pre name="code" class="plain"><span style="font-family: Arial, Helvetica, sans-serif;"></span><pre name="code" class="plain">listeners=PLAINTEXT://:9094server3.properties
broker.id=3
listeners=PLAINTEXT://:9094
log.dirs=/tmp/kafka-logs-3
bin/zookeeper-server-start.sh config/zookeeper.properties &
sleep 3s
bin/kafka-server-start.sh config/server1.properties &
bin/kafka-server-start.sh config/server2.properties &
bin/kafka-server-start.sh config/server3.properties &
另外附上一个kill kafka脚本
#!/bin/sh
PIDS=$(ps ax | grep -i 'kafka\.Kafka' | grep java | grep -v grep | awk '{print $1}')
if [ -z "$PIDS" ]; then
echo "No kafka server to stop"
else
for pid in $PIDS
do
echo "$pid"
kill -s 9 $pid
done
fi
sleep 3s
PIDS=$(ps ax | grep java | grep -i QuorumPeerMain | grep -v grep | awk '{print $1}')
if [ -z "$PIDS" ]; then
echo "No zookeeper server to stop"
exit 1
else
kill -s TERM $PIDS
fi
bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 3 --partitions 3 --topic test二、代码编写
pom.xml
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<spring.version>3.2.14.RELEASE</spring.version>
<kafka.version>0.10.0.1</kafka.version>
</properties>
<dependencies>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-log4j12</artifactId>
<version>1.7.12</version>
</dependency>
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-api</artifactId>
<version>1.7.12</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
<version>${spring.version}</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.11</artifactId>
<version>${kafka.version}</version>
<scope>compile</scope>
<exclusions>
<exclusion>
<artifactId>jmxri</artifactId>
<groupId>com.sun.jmx</groupId>
</exclusion>
<exclusion>
<artifactId>jms</artifactId>
<groupId>javax.jms</groupId>
</exclusion>
<exclusion>
<artifactId>jmxtools</artifactId>
<groupId>com.sun.jdmk</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>${kafka.version}</version>
</dependency>
</dependencies>
1、生产者
生产者代码ProducerTest.java/*
* @(#) ProducerTest.java 2016/04/28
*
* Copyright 2016 snow.com, Inc. All rights reserved.
*/
package com.snow.kafka.producer;
import java.util.Properties;
import java.util.concurrent.TimeUnit;
import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
/**
* kafka-clients apix
* @author hzwanghuiqi
* @version 2016/04/28
*/
@Component
public class ProducerTest {
private static final Logger logger = LoggerFactory.getLogger(ProducerTest.class);
public Properties createProperties() {
Properties properties = new Properties();
properties.put("bootstrap.servers", "localhost:9092,localhost:9093,localhost:9094");
properties.put("acks", "all");
properties.put("retries", 0); // 消息发送请求失败重试次数
properties.put("batch.size", 2000);
properties.put("linger.ms", 1); // 消息逗留在缓冲区的时间，等待更多的消息进入缓冲区一起发送，减少请求发送次数
properties.put("buffer.memory", 33554432); // 内存缓冲区的总量
// 如果发送到不同分区，并且不想采用默认的Utils.abs(key.hashCode) % numPartitions分区方式，则需要自己自定义分区逻辑
properties.put("partitioner.class", "com.snow.kafka.producer.SimplePartitioner");
properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
return properties;
}
public void sendMessage() {
Properties properties = createProperties();
Producer<String, String> producer = new KafkaProducer<String, String>(properties);
int i = 0;
try {
while (true) {
TimeUnit.SECONDS.sleep(2);
String key = Integer.toString(i);
String value = "times: " + key;
ProducerRecord<String, String> record = new ProducerRecord<String, String>("test", key, value);
producer.send(record, new Callback() {
@Override
public void onCompletion(RecordMetadata metadata, Exception e) {
if (e != null) {
logger.warn("send record error {}", e);
}
logger.info("offset: {}, partition: {}", metadata.offset(), metadata.partition());
}
});
i++;
}
} catch (Exception e) {
logger.warn("{}", e);
} finally {
producer.close();
}
}
}
/*
* @(#) SimplePartitioner.java 2016/04/28
*
* Copyright 2016 snow.com, Inc. All rights reserved.
*/
package com.snow.kafka.producer;
import java.util.Map;
import org.apache.kafka.clients.producer.Partitioner;
import org.apache.kafka.common.Cluster;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* @author hzwanghuiqi
* @version 2016/04/28
*/
public class SimplePartitioner implements Partitioner {
public static final Logger logger = LoggerFactory.getLogger(SimplePartitioner.class);
@Override
public int partition(String topic, Object key, byte[] keyBytes, Object value, byte[] valueBytes, Cluster cluster) {
int partition = 0;
int offset = Integer.valueOf((String) key);
if (offset >= 0) {
partition = Integer.valueOf((String) key) % cluster.partitionCountForTopic(topic);
// logger.info("key {}, partition {}", key, partition);
}
return partition;
}
@Override
public void close() {
// TODO Auto-generated method stub
}
@Override
public void configure(Map<String, ?> configs) {
// TODO Auto-generated method stub
}
}
/*
* @(#) ProducerMainTest.java 2016/09/23
*
* Copyright 2016 snow.com, Inc. All rights reserved.
*/
package com.snow.kafka.producer;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;
import org.springframework.stereotype.Component;
/**
* @author hzwanghuiqi
* @version 2016/09/23
*/
@Component
public class ProducerMainTest {
public static void main(String[] args) {
ApplicationContext context = new ClassPathXmlApplicationContext(new String[] {"application-context.xml"});
ProducerTest producerTest = context.getBean(ProducerTest.class);
producerTest.sendMessage();
}
}
消费者代码ConsumerTest.java
/*
* @(#) ConsumerTest.java 2016/09/26
*
* Copyright 2016 snow.com, Inc. All rights reserved.
*/
package com.snow.kafka.consumer;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import java.util.Properties;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.consumer.OffsetAndMetadata;
import org.apache.kafka.clients.consumer.OffsetCommitCallback;
import org.apache.kafka.common.TopicPartition;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.stereotype.Component;
/**
* @author hzwanghuiqi
* @version 2016/09/26
*/
@Component
public class ConsumerTest {
private static final Logger logger = LoggerFactory.getLogger(ConsumerTest.class);
// 在消费的时候生产者一定要处于运行状态，否则就会得不到数据，无法消费
public Properties createSimpleProperties() {
Properties properties = new Properties();
properties.put("bootstrap.servers", "localhost:9092,localhost:9093,localhost:9094");
properties.put("group.id", "test");
properties.put("enable.auto.commit", "true");
properties.put("auto.commit.interval.ms", "60000");
properties.put("session.timeout.ms", "30000");
properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
return properties;
}
// 自动提交偏移量
public void simpleConsumer() {
Properties properties = createSimpleProperties();
KafkaConsumer<String, String> consumer = new KafkaConsumer<>(properties);
consumer.subscribe(Arrays.asList("test"));
try {
while (true) {
ConsumerRecords<String, String> records = consumer.poll(10);
for (ConsumerRecord<String, String> record : records) {
logger.info("partition = {}, offset = {}, key = {}, value = {}", record.partition(), record.offset(), record.key(),
record.value());
}
}
} finally {
consumer.close();
}
}
public Properties createProperties() {
Properties properties = new Properties();
properties.put("bootstrap.servers", "localhost:9092,localhost:9093,localhost:9094");
properties.put("group.id", "test");
properties.put("enable.auto.commit", "false");
properties.put("auto.commit.interval.ms", "60000");
properties.put("session.timeout.ms", "30000");
properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
return properties;
}
/**
* 手动控制偏移量
*/
public void consumer() {
Properties properties = createProperties();
KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(properties);
consumer.subscribe(Arrays.asList("test"));
try {
while (true) {
ConsumerRecords<String, String> records = consumer.poll(10);
for (ConsumerRecord<String, String> record : records) {
logger.info("partition = {}, offset = {}, key = {}, value = {}", record.partition(), record.offset(), record.key(),
record.value());
}
if (!records.isEmpty()) {
// 异步提交offset
consumer.commitAsync(new OffsetCommitCallback() {
@Override
public void onComplete(Map<TopicPartition, OffsetAndMetadata> offsets, Exception exception) {
for (Entry<TopicPartition, OffsetAndMetadata> offset : offsets.entrySet()) {
logger.info("commit offset: partition = {}, offset = {}", offset.getKey(), offset.getValue().offset());
}
}
});
}
}
} finally {
consumer.close();
}
}
/**
* 手工精确控制每个分区的偏移量
*/
public void consumerExactly() {
Properties properties = createProperties();
KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(properties);
consumer.subscribe(Arrays.asList("test"));
try {
while (true) {
ConsumerRecords<String, String> records = consumer.poll(Long.MAX_VALUE);
for (TopicPartition partition : records.partitions()) {
List<ConsumerRecord<String, String>> partitionRecords = records.records(partition);
for (ConsumerRecord<String, String> record : partitionRecords) {
logger.info("partition = {}, offset = {}, key = {}, value = {}", record.partition(), record.offset(), record.key(),
record.value());
}
long lastOffset = partitionRecords.get(partitionRecords.size() - 1).offset();
consumer.commitSync(Collections.singletonMap(partition, new OffsetAndMetadata(lastOffset + 1)));
}
}
} finally {
consumer.close();
}
}
}
/*
* @(#) ConsumerMainTest.java 2016/09/26
*
* Copyright 2016 snow.com, Inc. All rights reserved.
*/
package com.snow.kafka.consumer;
import org.springframework.context.ApplicationContext;
import org.springframework.context.support.ClassPathXmlApplicationContext;
import org.springframework.stereotype.Component;
/**
* @author hzwanghuiqi
* @version 2016/09/26
*/
@Component
public class ConsumerMainTest {
public static void main(String[] args) {
ApplicationContext context = new ClassPathXmlApplicationContext(new String[] {"application-context.xml"});
ConsumerTest consumerTest = context.getBean(ConsumerTest.class);
// consumerTest.simpleConsumer();
// consumerTest.consumer();
consumerTest.consumerExactly();
}
}
三、运行结果展示
在运行消费者的时候生产者必须处于运行状态，否则是无法消费消息的。
生产者执行结果示例：
2016-09-27 20:10:01,505 INFO ProducerTest:61 - offset: 0, partition: 0
2016-09-27 20:10:03,496 INFO ProducerTest:61 - offset: 0, partition: 1
2016-09-27 20:10:05,512 INFO ProducerTest:61 - offset: 0, partition: 2
2016-09-27 20:10:07,497 INFO ProducerTest:61 - offset: 1, partition: 0
2016-09-27 20:10:09,494 INFO ProducerTest:61 - offset: 1, partition: 1
2016-09-27 20:10:11,497 INFO ProducerTest:61 - offset: 1, partition: 2
2016-09-27 20:10:13,501 INFO ProducerTest:61 - offset: 2, partition: 0
2016-09-27 20:10:15,494 INFO ProducerTest:61 - offset: 2, partition: 1
2016-09-27 20:10:17,494 INFO ProducerTest:61 - offset: 2, partition: 2
2016-09-27 20:10:19,495 INFO ProducerTest:61 - offset: 3, partition: 0
2016-09-27 20:10:21,503 INFO ProducerTest:61 - offset: 3, partition: 1
2016-09-27 20:10:23,497 INFO ProducerTest:61 - offset: 3, partition: 2
2016-09-27 20:10:25,498 INFO ProducerTest:61 - offset: 4, partition: 0
2016-09-27 20:10:27,499 INFO ProducerTest:61 - offset: 4, partition: 1
2016-09-27 20:10:29,501 INFO ProducerTest:61 - offset: 4, partition: 2
2016-09-27 20:10:31,500 INFO ProducerTest:61 - offset: 5, partition: 0
2016-09-27 20:10:33,500 INFO ProducerTest:61 - offset: 5, partition: 1
2016-09-27 20:10:35,497 INFO ProducerTest:61 - offset: 5, partition: 2
2016-09-27 20:10:37,501 INFO ProducerTest:61 - offset: 6, partition: 02016-09-27 20:10:13,507 INFO ConsumerTest:123 - partition = 0, offset = 2, key = 6, value = times: 6
2016-09-27 20:10:15,496 INFO ConsumerTest:123 - partition = 1, offset = 2, key = 7, value = times: 7
2016-09-27 20:10:17,494 INFO ConsumerTest:123 - partition = 2, offset = 2, key = 8, value = times: 8
2016-09-27 20:10:19,494 INFO ConsumerTest:123 - partition = 0, offset = 3, key = 9, value = times: 9
2016-09-27 20:10:21,503 INFO ConsumerTest:123 - partition = 1, offset = 3, key = 10, value = times: 10
2016-09-27 20:10:23,495 INFO ConsumerTest:123 - partition = 2, offset = 3, key = 11, value = times: 11
2016-09-27 20:10:25,500 INFO ConsumerTest:123 - partition = 0, offset = 4, key = 12, value = times: 12
2016-09-27 20:10:27,502 INFO ConsumerTest:123 - partition = 1, offset = 4, key = 13, value = times: 13
2016-09-27 20:10:29,496 INFO ConsumerTest:123 - partition = 2, offset = 4, key = 14, value = times: 14
2016-09-27 20:10:31,497 INFO ConsumerTest:123 - partition = 0, offset = 5, key = 15, value = times: 15
2016-09-27 20:10:33,502 INFO ConsumerTest:123 - partition = 1, offset = 5, key = 16, value = times: 16
2016-09-27 20:10:35,496 INFO ConsumerTest:123 - partition = 2, offset = 5, key = 17, value = times: 17
2016-09-27 20:10:37,496 INFO ConsumerTest:123 - partition = 0, offset = 6, key = 18, value = times: 18kafka打包下载，包含自定义配置：kafka_2.11-0.10.0.1.tar.gz
完整代码下载地址：https://github.com/xueshui/kafka-test
参考文献：