1. 在根目錄創(chuàng)建kafka文件夾（service1虾标、service2焙蹭、service3都創(chuàng)建）

[root@localhost /]# mkdir kafka

2.通過(guò)Xshell上傳文件到service1服務(wù)器：上傳kafka_2.9.2-0.8.1.1.tgz到/software文件夾

3.遠(yuǎn)程copy將service1下的/software/kafka_2.9.2-0.8.1.1.tgz到service2撑柔、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/目錄（service1囱淋、service2剃毒、service3都執(zhí)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宝剖、service2洁闰、service3都執(zhí)行）

[root@localhost /]# cd /kafka/

[root@localhost kafka]# tar -zxvf kafka_2.9.2-0.8.1.1.tgz

5.創(chuàng)建kafka消息目錄（service1,service2,service3都要?jiǎng)?chuàng)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(biāo)識(shí)

############################# Socket Server Settings #############################

# The port the socket server listens on

port=19092 ?--當(dāng)前broker對(duì)外提供的TCP端口,默認(rèn)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(guān)閉狀態(tài)，我們要將它打開(kāi)万细，如果dns解析失敗扑眉，會(huì)出現(xiàn)文件句柄泄露，不要小看dns解析失敗率赖钞，如果dns解析失敗率為萬(wàn)分之一腰素，由于kafka的性能非常高，每個(gè)topic的每個(gè)分區(qū)雪营，每秒可以處理十萬(wàn)多條的數(shù)據(jù)弓千，即使萬(wàn)分之一的失敗率，每秒也要泄露10個(gè)文件句柄献起，很快句柄數(shù)就會(huì)泄露完畢洋访，就會(huì)超過(guò)linux打開(kāi)文件的數(shù)，就會(huì)出現(xiàn)異常谴餐，所以我們配置ip姻政，就不會(huì)進(jìn)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(wǎng)絡(luò)處理的線程數(shù)，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(shù)岂嗓，這個(gè)數(shù)量一定要比log.dirs的目錄數(shù)要大

# The send buffer (SO_SNDBUF) used by the socket server

socket.send.buffer.bytes=1048576 ?--將發(fā)送的消息先放到緩沖區(qū)汁展，當(dāng)?shù)竭_(dá)一定量的時(shí)候再一次性發(fā)出

# The receive buffer (SO_RCVBUF) used by the socket server

socket.receive.buffer.bytes=1048576 ?--kafka接受消息的緩沖區(qū)，當(dāng)接受的數(shù)量達(dá)到一定量的時(shí)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(fā)送或者請(qǐng)求消息的最大數(shù)，此設(shè)置不能超過(guò)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(gè)目錄可以用食绿，隔開(kāi)

# 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(gè)topic默認(rèn)分區(qū)數(shù)

############################# 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(rèn)的復(fù)制因子侈咕，默認(rèn)消息只有一個(gè)副本，不太安全器紧，所以設(shè)置為2耀销，如果某個(gè)分區(qū)的消息失敗了，我們可以使用另一個(gè)分區(qū)的消息服務(wù)

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.啟動(dòng)kafka服務(wù)

[root@localhost bin]# ./kafka-server-start.sh -daemon ../config/server.properties

[root@localhost bin]# jps

27413 Kafka

27450 Jps

17884 QuorumPeerMain

8.驗(yàn)證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上開(kāi)啟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(kāi)啟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(fā)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

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