kafka集群安装
1. 在根目录创建kafka文件夹（service1、service2、service3都创建）# mkdir kafka2.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# scp -r /software/kafka_2.9.2-0.8.1.1.tgz root@192.168.2.212:/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）# 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）# cd /kafka/# tar -zxvf kafka_2.9.2-0.8.1.1.tgz5.创建kafka消息目录（service1,service2,service3都要创建）# mkdir kafkaLogs6. 修改kafka的配置文件（service1,service2,service3都要配置）# cd /kafka/kafka_2.9.2-0.8.1.1/# cd config/# lsconsumer.propertieslog4j.propertiesproducer.propertiesserver.propertiestest-log4j.propertiestools-log4j.propertieszookeeper.properties# 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 onport=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 interfaceshost.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 requestsnum.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/Onum.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 serversocket.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 serversocket.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 fileslog.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 deletionlog.retention.hours=168message.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 policieslog.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 zookeeperzookeeper.connection.timeout.ms=10000007.启动kafka服务# ./kafka-server-start.sh -daemon ../config/server.properties# jps27413 Kafka27450 Jps17884 QuorumPeerMain8.验证kafka集群# ./kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 2 --partitions 1 --topic testCreated topic "test".9.在service1上开启producer程序./kafka-console-producer.sh --broker-list 192.168.2.211:9092 --topic test# ./kafka-console-producer.sh --broker-list 192.168.2.211:9092 --topic testSLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details.10. 在service2上开启consumer程序# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginningSLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details.11.在producer中发送消息：hello jeesz# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginningSLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: Seehttp://www.slf4j.org/codes.html#StaticLoggerBinderfor further details.hello jeesz12. 在consumer中接受到消息# ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginningSLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".SLF4J: Defaulting to no-operation (NOP) logger implementationSLF4J: 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求求：贰零四贰八四九贰叁柒
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