Kafka 安装与部署（单机版）与kafkaDemo调试测试(包含JAVA Demo)

部署需要的包：

http://download.csdn.net/download/liangmaoxuan/10228805

1. kafka_2.10-0.10.2.0.tar

1.解压kafka_2.10-0.10.2.0安装包

tar -xvf kafka_2.10-0.10.2.0.tar

2.配置kafka

cd /software/kafka_2.10-0.10.2.0/conf

(1) server.properties

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.# see kafka.server.KafkaConfig for additional details and defaults############################# Server Basics ############################## The id of the broker. This must be set to a unique integer for each broker.
broker.id=0# Switch to enable topic deletion or not, default value is false
#delete.topic.enable=true############################# Socket Server Settings ############################## The address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
#   FORMAT:
#     listeners = listener_name://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
listeners=PLAINTEXT://192.168.1.104:9092# 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://192.168.1.104:9092
hostname=192.168.1.104# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL# The number of threads handling network requests
num.network.threads=3# The number of threads doing disk I/O
num.io.threads=8# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=102400# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=102400# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600############################# Log Basics ############################## A comma seperated list of directories under which to store log files
log.dirs=/tmp/kafka-logs# The default number of log partitions per topic. More partitions allow greater
# parallelism for consumption, but this will also result in more files across
# the brokers.
num.partitions=1# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
# This value is recommended to be increased for installations with data dirs located in RAID array.
num.recovery.threads.per.data.dir=1############################# Log Flush Policy ############################## Messages are immediately written to the filesystem but by default we only fsync() to sync
# the OS cache lazily. The following configurations control the flush of data to disk.
# There are a few important trade-offs here:
#    1. Durability: Unflushed data may be lost if you are not using replication.
#    2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
#    3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to exceessive seeks.
# The settings below allow one to configure the flush policy to flush data after a period of time or
# every N messages (or both). This can be done globally and overridden on a per-topic basis.# The number of messages to accept before forcing a flush of data to disk
#log.flush.interval.messages=10000# The maximum amount of time a message can sit in a log before we force a flush
#log.flush.interval.ms=1000############################# Log Retention Policy ############################## The following configurations control the disposal of log segments. The policy can
# be set to delete segments after a period of time, or after a given size has accumulated.
# A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
# from the end of the log.# The minimum age of a log file to be eligible for deletion due to age
log.retention.hours=168# A size-based retention policy for logs. Segments are pruned from the log as long as the remaining
# segments don't drop below log.retention.bytes. Functions independently of log.retention.hours.
#log.retention.bytes=1073741824# The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes=1073741824# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
log.retention.check.interval.ms=300000############################# Zookeeper ############################## Zookeeper connection string (see zookeeper docs for details).
# This is a comma separated host:port pairs, each corresponding to a zk
# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
# You can also append an optional chroot string to the urls to specify the
# root directory for all kafka znodes.
zookeeper.connect=192.168.1.104:2181# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000

3.启动kafka

启动zookeeper：nohup bin/zookeeper-server-start.sh config/zookeeper.properties 1>zookeeper.log 2>zookeeper.err &
启动kafka：nohup bin/kafka-server-start.sh config/server.properties &

4.单机测试：

（1）生产者

bin/kafka-console-producer.sh --broker-list 192.168.1.104:9092 --topic test
输进消息： lmx

（2）消费者

bin/kafka-console-consumer.sh --zookeeper 192.168.1.104:2181 --topic test --from-beginning
收到消息： lmx

4.JAVA代码测试：

（1）配置类：ConfigureAPI.class

package kafkaDemo;public class ConfigureAPI
{public final static String GROUP_ID = "test";public final static String TOPIC = "test-lmx";public final static int BUFFER_SIZE = 64 * 1024;public final static int TIMEOUT = 20000;public final static int INTERVAL = 10000;public final static String BROKER_LIST = "192.168.1.104:9092,192.168.1.105:9092";// 去数据间隔public final static int GET_MEG_INTERVAL = 1000;}

( 2 ) 生产者类：JProducer.class

package kafkaDemo;import java.util.Properties;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;public class JProducer implements Runnable
{private Producer<String, String> producer;public JProducer(){Properties props = new Properties();props.put("bootstrap.servers", ConfigureAPI.BROKER_LIST);props.put("acks", "all");props.put("retries", 0);props.put("batch.size", 16384);props.put("linger.ms", 1);props.put("buffer.memory", 33554432);props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");props.put("request.required.acks", "-1");producer = new KafkaProducer<String, String>(props);}@Overridepublic void run(){// TODO Auto-generated method stubtry{String data = "hello lmx!";producer.send(new ProducerRecord<String, String>(ConfigureAPI.TOPIC, data));System.out.println(data);}catch (Exception e){// TODO: handle exceptione.getStackTrace();}finally{producer.close();}}public static void main(String[] args){ExecutorService threadPool = Executors.newCachedThreadPool();threadPool.execute(new JProducer());threadPool.shutdown();}}

执行效果:

( 3 ) 消费者类：JConsumer.class

package kafkaDemo;import java.util.Arrays;
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;import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;public class JConsumer implements Runnable
{private KafkaConsumer<String, String> consumer;private JConsumer(){Properties props = new Properties();props.put("bootstrap.servers", ConfigureAPI.BROKER_LIST);props.put("group.id", ConfigureAPI.GROUP_ID);props.put("enable.auto.commit", true);props.put("auto.commit.interval.ms", 1000);props.put("session.timeout.ms", 30000);props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");props.put("value.deserializer","org.apache.kafka.common.serialization.StringDeserializer");consumer = new KafkaConsumer<String, String>(props);consumer.subscribe(Arrays.asList(ConfigureAPI.TOPIC)); // 多个topic逗号隔开}@Overridepublic void run(){// TODO Auto-generated method stubwhile (true){System.out.println("poll Server message");ConsumerRecords<String, String> records = consumer.poll(ConfigureAPI.GET_MEG_INTERVAL);for (ConsumerRecord<String, String> record : records){handleMeg(record.value());}}}private void handleMeg(String record){System.out.println(record);}public static void main(String[] args){ExecutorService threadPool = Executors.newCachedThreadPool();threadPool.execute(new JConsumer());threadPool.shutdown();}
}

执行效果：

JAVA代码demo下载地址：http://download.csdn.net/download/liangmaoxuan/10258460

附属某些错误解决办法：

(1) 错误：Unable to connect to zookeeper server '192.168.1.104:2181' with timeout of 4000 ms

解决办法:

1.防火墙要关闭

使用service iptables stop 关闭防火墙
使用service iptables status确认
使用chkconfig iptables off禁用防火墙

2.只打开2181端口

iptables -I INPUT -p tcp --dport 2181 -j ACCEPT

(2) 错误：kafka Failed to send messages after 3 tries

解决办法:

修改server.properties

listeners=PLAINTEXT://192.168.1.104:9092
advertised.listeners=PLAINTEXT://192.168.1.104:9092
hostname=192.168.1.104

总结不好多多担待，文章只单纯个人总结，如不好勿喷，技术有限，有错漏麻烦指正提出。本人QQ:373965070

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