1. 在根目錄創(chuàng)建kafka文件夾（service1、service2托慨、service3都創(chuàng)建）
[root@localhost /]# mkdir kafka
2.通過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.遠程copy將service1下的/software/kafka_2.9.2-0.8.1.1.tgz到service2扫皱、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埠胖、service2魏颓、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格侯、service2鼻听、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都要創(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
############################# Socket Server Settings #############################
# The port the socket server listens on
port=19092 ?--當(dāng)前broker對外提供的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)，我們要將它打開联四，如果dns解析失敗撑碴，會出現(xiàn)文件句柄泄露，不要小看dns解析失敗率朝墩，如果dns解析失敗率為萬分之一醉拓，由于kafka的性能非常高，每個topic的每個分區(qū)收苏，每秒可以處理十萬多條的數(shù)據(jù)亿卤，即使萬分之一的失敗率，每秒也要泄露10個文件句柄鹿霸，很快句柄數(shù)就會泄露完畢排吴，就會超過linux打開文件的數(shù)，就會出現(xiàn)異常懦鼠，所以我們配置ip钻哩，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(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)肛冶，這個數(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)街氢，當(dāng)?shù)竭_一定量的時候再一次性發(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(fā)送或者請求消息的最大數(shù)睦袖，此設(shè)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 ?--多個目錄可以用珊肃，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(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，默認(rèn)消息只有一個副本，不太安全伦乔，所以設(shè)置為2厉亏，如果某個分區(qū)的消息失敗了，我們可以使用另一個分區(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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