如何使用Java连接Kerberos的Kafka
如何使用Java连接Kerberos的Kafka
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1.文档编写目的
Kafka从0.8版本以后出了新的API接口，用于异步方式发送消息，性能优于旧的API，本篇文章主要使用新的API接口进行测试。继上一篇文章如何通过Cloudera Manager为Kafka启用Kerberos及使用，本篇文章主要讲述如何使用Java连接Kerberos的Kafka集群生产和消费消息。
- 内容概述
1.环境准备
2.创建Java工程
3.编写生产消息代码
4.编写消费消息代码
5.测试
- 测试环境
1.RedHat7.2
2.CM和CDH版本为5.11.2
3.Kafka2.2.0-0.10.2
- 前置条件
1.Intellij已安装且正常运行
2.Maven环境正常
2.环境准备
1.创建topic，test3有3个replication，3个partition
ec2-user@ip-172-31-22-86~$ kafka-topics --create --zookeeper ip-172-31-22-86.ap-southeast-1.compute.internal:2181 --replication-factor 3 --partitions 3 --topic test3
2.krb5.conf配置（直接使用CDH集群的Kerberos配置）
Configuration snippets may beplaced in this directory as well
includedir /etc/krb5.conf.d/
logging
default = FILE:/var/log/krb5libs.log
kdc =FILE:/var/log/krb5kdc.log
admin_server = FILE:/var/log/kadmind.log
libdefaults
dns_lookup_realm = false
ticket_lifetime = 24h
renew_lifetime = 7d
forwardable = true
rdns = false
default_realm = CLOUDERA.COM
#default_ccache_name = KEYRING:persistent:%{uid}
realms
CLOUDERA.COM = {
kdc =ip-172-31-22-86.ap-southeast-1.compute.internal
admin_server = ip-172-31-22-86.ap-southeast-1.compute.internal
}
domain_realm
.ip-172-31-22-86.ap-southeast-1.compute.internal= CLOUDERA.COM
ip-172-31-22-86.ap-southeast-1.compute.internal= CLOUDERA.COM
3.Kerberos的keytab文件
使用kadmin为Kerberos账号生成keytab，fayson.keytab文件生成在当前目录下。
ec2-user@ip-172-31-22-86~$ sudo kadmin.local
Authenticating as principal hdfs/admin@CLOUDERA.COM with password.
kadmin.local: xst -norandkey -k fayson.keytab fayson@CLOUDERA.COM
...
kadmin.local: exit
ec2-user@ip-172-31-22-86~$
4.jaas-cache.conf配置文件
KafkaClient{
com.sun.security.auth.module.Krb5LoginModule required
useKeyTab=true
keyTab="/Volumes/Transcend/keytab/fayson.keytab"
principal="fayson@CLOUDERA.COM";
};
5.在当前开发环境下配置集群的主机信息到hosts文件
在/etc/hosts文件中添加
提示：Fayson使用的AWS环境，所以使用公网IP和hostname对应。如果你的开发环境可以直连Hadoop集群，可以直接配置Hadoop内网IP和hostname对应即可。
3.创建Java工程
1.使用Intellij创建Java Maven工程
2.在pom.xml配置文件中增加Kafka API的Maven依赖
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>0.10.2.0</version>
</dependency>
4.编写生产消息代码
package com.cloudera;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;
import java.util.Properties;
/**
* Created by fayson on 2017/10/24.
*/
public class MyProducer {
public static String TOPIC_NAME = "test3";
public static void main(String[] args){
System.setProperty("java.security.krb5.conf", "/Volumes/Transcend/keytab/krb5.conf");
System.setProperty("java.security.auth.login.config", "/Volumes/Transcend/keytab/jaas-cache.conf");
System.setProperty("javax.security.auth.useSubjectCredsOnly", "false");
// System.setProperty("sun.security.krb5.debug","true");
Properties props = new Properties();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "ip-172-31-21-45.ap-southeast-1.compute.internal:9092,ip-172-31-26-102.ap-southeast-1.compute.internal:9020,ip-172-31-26-80.ap-southeast-1.compute.internal:9020");
props.put(ProducerConfig.ACKS_CONFIG, "all");
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringSerializer");
props.put("security.protocol", "SASL_PLAINTEXT");
props.put("sasl.kerberos.service.name", "kafka");
Producer<String,String> producer = new KafkaProducer<String,String>(props);
for (int i = 0; i < 10; i++) {
String key = "key-"+ i;
String message = "Message-"+ i;
ProducerRecord record= new ProducerRecord<String, String>(TOPIC_NAME, key, message);
producer.send(record);
System.out.println(key + "----"+ message);
}
producer.close();
}
}
5.编写消费消息代码
package com.cloudera;
import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.common.TopicPartition;
import java.util.Arrays;
import java.util.Properties;
/**
* Created by fayson on 2017/10/24.
*/
public class MyConsumer {
private static String TOPIC_NAME = "test3";
public static void main(String[] args){
System.setProperty("java.security.krb5.conf", "/Volumes/Transcend/keytab/krb5.conf");
System.setProperty("java.security.auth.login.config", "/Volumes/Transcend/keytab/jaas-cache.conf");
System.setProperty("javax.security.auth.useSubjectCredsOnly", "false");
Properties props = new Properties();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "ip-172-31-21-45.ap-southeast-1.compute.internal:9092,ip-172-31-26-102.ap-southeast-1.compute.internal:9020,ip-172-31-26-80.ap-southeast-1.compute.internal:9020");
props.put(ConsumerConfig.GROUP_ID_CONFIG, "DemoConsumer");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true");
props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000");
props.put("security.protocol", "SASL_PLAINTEXT");
props.put("sasl.kerberos.service.name", "kafka");
KafkaConsumer<String,String> consumer = new KafkaConsumer<String,String>(props);
TopicPartition partition0= new TopicPartition(TOPIC_NAME, 0);
TopicPartition partition1= new TopicPartition(TOPIC_NAME, 1);
TopicPartition partition2= new TopicPartition(TOPIC_NAME, 2);
consumer.assign(Arrays.asList(partition0,partition1, partition2));
ConsumerRecords<String,String> records = null;
while (true){
try {
Thread.sleep(10000l);
System.out.println();
records = consumer.poll(Long.MAX_VALUE);
for (ConsumerRecord<String, String> record : records) {
System.out.println("Receivedmessage: (" + record.key() + "," + record.value() + ") at offset " + record.offset());
}
} **catch** (**InterruptedException** e){ e.printStackTrace();}
}}}
6.代码测试
1.执行消费程序，消费topic为test3的所有partition消息
启动成功，等待消费test3的消息
2.执行生产消息程序，向test3的topic生产消息
向test3的topic发送的消息
3.查看消费程序读取到的消息
7.总结
在开发环境下通过Java代码直接连接到已启用Kerberos的Kafka集群时，则需要将krb5.conf和jaas.conf配置加载到程序运行环境中。至于使用Kerberos密码的方式Fayson也不会。
测试使用的topic有3个partiton，如果没有将所有的broker列表配置到bootstrap.servers中，会导致部分消息丢失。
参考文档：
http://kafka.apache.org/0102/javadoc/index.html?org/apache/kafka/clients/producer/KafkaProducer.html
http://kafka.apache.org/documentation/#api
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