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1. 在根目录创建kafka文件夹（service1、service2、service3都创建）
[root@localhost /]# mkdir kafka 2.通过Xshell上传文件到service1服务器：上传kafka_2.9.2-0.8.1.1.tgz到/software文件夹 3.远程copy将service1下的/software/kafka_2.9.2-0.8.1.1.tgz到service2、service3 [root@localhost software]# scp -r /software/kafka_2.9.2-0.8.1.1.tgz root@192.168.2.212:/software/ [root@localhost software]# scp -r /software/kafka_2.9.2-0.8.1.1.tgz root@192.168.2.213:/software/ 3.copy /software/kafka_2.9.2-0.8.1.1.tgz到/kafka/目录（service1、service2、service3都执行） [root@localhost software]# cp /software/kafka_2.9.2-0.8.1.1.tgz /kafka/ 4.安装解压kafka_2.9.2-0.8.1.1.tgz（service1、service2、service3都执行） [root@localhost /]# cd /kafka/ [root@localhost kafka]# tar -zxvf kafka_2.9.2-0.8.1.1.tgz 5.创建kafka消息目录（service1,service2,service3都要创建） [root@localhost kafka]# mkdir kafkaLogs 6. 修改kafka的配置文件（service1,service2,service3都要配置） [root@localhost /]# cd /kafka/kafka_2.9.2-0.8.1.1/ [root@localhost kafka_2.9.2-0.8.1.1]# cd config/ [root@localhost config]# ls consumer.properties log4j.properties producer.properties server.properties test-log4j.properties tools-log4j.properties zookeeper.properties [root@localhost config]# vi 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 ---唯一标识 ############################# Socket Server Settings ############################# # The port the socket server listens on port=19092 --当前broker对外提供的TCP端口,默认9092 # Hostname the broker will bind to. If not set, the server will bind to all interfaces host.name=192.168.2.213 --一般是关闭状态，我们要将它打开，如果dns解析失败，会出现文件句柄泄露，不要小看dns解析失败率，如果dns解析失败率为万分之一，由于kafka的性能非常高，每个topic的每个分区，每秒可以处理十万多条的数据，即使万分之一的失败率，每秒也要泄露10个文件句柄，很快句柄数就会泄露完毕，就会超过linux打开文件的数，就会出现异常，所以我们配置ip，就不会进行dns解析 # Hostname the broker will advertise to producers and consumers. If not set, it uses the # value for "host.name" if configured. Otherwise, it will use the value returned from # java.net.InetAddress.getCanonicalHostName(). #advertised.host.name= # The port to publish to ZooKeeper for clients to use. If this is not set, # it will publish the same port that the broker binds to. #advertised.port= # The number of threads handling network requests num.network.threads=2 --broker网络处理的线程数，一般不做处理 # The number of threads doing disk I/O num.io.threads=8 --broker io处理的线程数，这个数量一定要比log.dirs的目录数要大 # The send buffer (SO_SNDBUF) used by the socket server socket.send.buffer.bytes=1048576 --将发送的消息先放到缓冲区，当到达一定量的时候再一次性发出 # The receive buffer (SO_RCVBUF) used by the socket server socket.receive.buffer.bytes=1048576 --kafka接受消息的缓冲区，当接受的数量达到一定量的时候再写入磁盘 # The maximum size of a request that the socket server will accept (protection against OOM) socket.request.max.bytes=104857600 --像kafka发送或者请求消息的最大数，此设置不能超过java堆栈大小 ############################# Log Basics ############################# # A comma seperated list of directories under which to store log files log.dirs=/kafka/kafkaLogs --多个目录可以用，隔开 # 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=2 --一个topic默认分区数 ############################# 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 log.retention.hours=168 message.max.byte=5048576 --kafka每条消息容纳的最大大小 default.replication.factor=2 --默认的复制因子，默认消息只有一个副本，不太安全，所以设置为2，如果某个分区的消息失败了，我们可以使用另一个分区的消息服务 replica.fetch.max.byte=5048576 --kafka每条消息容纳的最大大小 # 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. #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=536870912 --消息持久化的最大大小 # 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=60000 # By default the log cleaner is disabled and the log retention policy will default to just delete segments after their retention expires. # If log.cleaner.enable=true is set the cleaner will be enabled and individual logs can then be marked for log compaction. log.cleaner.enable=false --不使用log压缩 ############################# 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=192.168.2.211:2181,192.168.2.212:2181,192.168.2.213:2181 --zk地址 # Timeout in ms for connecting to zookeeper zookeeper.connection.timeout.ms=1000000 7.启动kafka服务 [root@localhost bin]# ./kafka-server-start.sh -daemon ../config/server.properties [root@localhost bin]# jps 27413 Kafka 27450 Jps 17884 QuorumPeerMain 8.验证kafka集群 [root@localhost bin]# ./kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 2 --partitions 1 --topic test Created topic "test". 9.在service1上开启producer程序 ./kafka-console-producer.sh --broker-list 192.168.2.211:9092 --topic test [root@localhost bin]# ./kafka-console-producer.sh --broker-list 192.168.2.211:9092 --topic test SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details. 10. 在service2上开启consumer程序 [root@localhost bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details. 11.在producer中发送消息：hello jeesz [root@localhost bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details. hello jeesz 12. 在consumer中接受到消息 [root@localhost bin]# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginning SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". SLF4J: Defaulting to no-operation (NOP) logger implementation SLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details. hello jeesz 愿意了解框架技术或者源码的朋友直接加求求（企鹅）：2042849237 更多详细源码参考来源：http://minglisoft.cn/technology
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发表于 2017-7-26 14:22:00