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); } @Override public void run() { // TODO Auto-generated method stub try { String data = "hello lmx!"; producer.send(new ProducerRecord<String, String>(ConfigureAPI.TOPIC, data)); System.out.println(data); } catch (Exception e) { // TODO: handle exception e.getStackTrace(); } finally { producer.close(); } } public static void main(String[] args) { ExecutorService threadPool = Executors.newCachedThreadPool(); threadPool.execute(new JProducer()); threadPool.shutdown(); } }
执行效果:
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 } @Override public void run() { // TODO Auto-generated method stub while (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