kafka集羣安裝

1. 在根目錄建立kafka文件夾（service一、service二、service3都建立）

[root@localhost /]# mkdir kafka

2.經過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service二、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（service一、service二、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（service一、service二、service3都執行）

[root@localhost /]# cd /kafka/

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

5.建立kafka消息目錄（service1,service2,service3都要建立）

[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

#

#www.apache.org/licenses/LI…

#

# 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 ---惟一標識

############################# 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 --通常是關閉狀態，咱們要將它打開，若是dns解析失敗，會出現文件句柄泄露，不要小看dns解析失敗率，若是dns解析失敗率爲萬分之一，因爲kafka的性能很是高，每一個topic的每一個分區，每秒能夠處理十萬多條的數據，即便萬分之一的失敗率，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，因此咱們配置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，通常不作處理

# The number of threads doing disk I/O

num.io.threads=8 --broker io處理的線程數，這個數量必定要比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，當到達必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，當接受的數量達到必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 --多個目錄能夠用，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，因此設置爲2，若是某個分區的消息失敗了，咱們可使用另外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: Seewww.slf4j.org/codes.html#…for 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: Seewww.slf4j.org/codes.html#…for 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: Seewww.slf4j.org/codes.html#…for 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: Seewww.slf4j.org/codes.html#…for further details.

hello jeesz

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