1. 在根目錄創建kafka文件夾（service1、service2、service3都創建）
[root@localhost /]# mkdir kafka
2.通過Xshell上傳文件到service1服務器：上傳kafka_2.9.2-0.8.1.1.tgz到/software文件夾
3.遠程copy將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 [email protected]:/software/
[root@localhost software]# scp -r /software/kafka_2.9.2-0.8.1.1.tgz [email protected]:/software/
3.copy /software/kafka_2.9.2-0.8.1.1.tgz到/kafka/目錄（service1、service2、service3都執行）
[root@localhost software]# cp /software/kafka_2.9.2-0.8.1.1.tgz /kafka/
4.安裝解壓kafka_2.9.2-0.8.1.1.tgz（service1、service2、service3都執行）
[root@localhost /]# cd /kafka/
[root@localhost kafka]# tar -zxvf kafka_2.9.2-0.8.1.1.tgz
5.創建kafka消息目錄（service1,service2,service3都要創建）
[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 ---唯一標識
############################# Socket Server Settings #############################
# The port the socket server listens on
port=19092 --當前broker對外提供的TCP端口,默認9092
# Hostname the broker will bind to. If not set, the server will bind to all interfaces
host.name=192.168.2.213 --一般是關閉狀態，我們要將它打開，如果dns解析失敗，會出現文件句柄泄露，不要小看dns解析失敗率，如果dns解析失敗率爲萬分之一，由於kafka的性能非常高，每個topic的每個分區，每秒可以處理十萬多條的數據，即使萬分之一的失敗率，每秒也要泄露10個文件句柄，很快句柄數就會泄露完畢，就會超過linux打開文件的數，就會出現異常，所以我們配置ip，就不會進行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網絡處理的線程數，一般不做處理
# The number of threads doing disk I/O
num.io.threads=8 --broker io處理的線程數，這個數量一定要比log.dirs的目錄數要大
# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=1048576 --將發送的消息先放到緩衝區，當到達一定量的時候再一次性發出
# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=1048576 --kafka接受消息的緩衝區，當接受的數量達到一定量的時候再寫入磁盤
# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600 --像kafka發送或者請求消息的最大數，此設置不能超過java堆棧大小
############################# Log Basics #############################
# A comma seperated list of directories under which to store log files
log.dirs=/kafka/kafkaLogs --多個目錄可以用，隔開
# 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 --一個topic默認分區數
############################# 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每條消息容納的最大大小
default.replication.factor=2 --默認的複製因子，默認消息只有一個副本，不太安全，所以設置爲2，如果某個分區的消息失敗了，我們可以使用另一個分區的消息服務
replica.fetch.max.byte=5048576 --kafka每條消息容納的最大大小
# 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壓縮
############################# 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.啓動kafka服務
[root@localhost bin]# ./kafka-server-start.sh -daemon ../config/server.properties
[root@localhost bin]# jps
27413 Kafka
27450 Jps
17884 QuorumPeerMain
8.驗證kafka集羣
[root@localhost bin]# ./kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 2 --partitions 1 --topic test
Created topic "test".
9.在service1上開啓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上開啓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中發送消息：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
願意瞭解框架技術或者源碼的朋友直接加求求（企鵝）：2042849237
更多詳細源碼參考來源：http://minglisoft.cn/technology