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Kafka集群搭建示例

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虚拟机三台 192.168.1.133;192.168.1.134;192.168.1.135

启动顺序首先启动 Zookeeper 集群, 再启动 Kafka 集群

一、Zookeeper:

1、找到解压目录下的 conf 文件夹, 在该文件夹下新建 zoo.cfg 文件, 并且将一下配置写入(三台 Zookeeper 配置文件 zoo.cfg 内容相同)

zoo.cfg

tickTime=2000
initLimit=10
syncLimit=5
dataDir=/opt/zookeeper-3.4.10/data
dataLogDir=/opt/zookeeper-3.4.10/logs
clientPort=2181
server.1=192.168.1.133:3888:4888
server.2=192.168.1.134:3888:4888
server.3=192.168.1.135:3888:4888

2、在解压目录下新建 data 文件夹, 并在 data 文件夹内新建 myid 文件, 并写入 1(192.168.1.134 写入 2;192.168.1.135, 写入 3)

3、在解压目录下新建 logs 文件夹

二、Kafka:

找到解压目录下的 config 文件夹, 只需要修改其中的 server.properties 文件, 其他配置文件不需要修改

server.properties(192.168.1.133)

# 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=1
host.name=192.168.1.133
port=9092

# Switch to enable topic deletion or not, default value is false
#delete.topic.enable=true

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

# The address the socket server listens on. It will get the value returned from 
# java.net.InetAddress.getCanonicalHostName() if not configured.
#   FORMAT:
#     listeners = security_protocol://host_name:port
#   EXAMPLE:
#     listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://:9092

# Hostname and port the broker will advertise to producers and consumers. If not set, 
# it uses the value for "listeners" if configured.  Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
#advertised.listeners=PLAINTEXT://your.host.name:9092

# The number of threads handling network requests
num.network.threads=3

# The number of threads doing disk I/O
num.io.threads=8

# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=1048576

# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=1048576

# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600


############################# Log Basics #############################

# A comma seperated list of directories under which to store log files
log.dirs=/KafkaLogs

# 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=1

# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
# This value is recommended to be increased for installations with data dirs located in RAID array.
num.recovery.threads.per.data.dir=1

############################# 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
default.replication.factor=3
replica.fetch.max.byte=5048576

# 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=1073741824

# 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=300000

############################# 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=192.168.1.133:2181,192.168.1.134:2181,192.168.1.135:2181

# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000

192.168.1.134 修改:

broker.id=2
host.name=192.168.1.134
port=9092
配置其他不变

192.168.1.135 修改:

broker.id=3
host.name=192.168.1.134 port=9092
配置其他不变
三、启动 
1、启动三台 Zookeeper:
/zookeeper-3.4.10//bin/zkServer.sh start 启动
/zookeeper-3.4.10//bin/zkServer.sh status 查看状态
2、启动三台 Kafka:
/kafka_2.11-0.10.1.1/bin/kafka-server-start.sh -daemon /kafka_2.11-0.10.1.1/config/server.properties

修改示例
可以到 Linux 公社资源站下载:

—————————————— 分割线 ——————————————

免费下载地址在 http://linux.linuxidc.com/

用户名与密码都是www.linuxidc.com

具体下载目录在 /2017 年资料 /12 月 /11 日 /Kafka 集群搭建示例 /

下载方法见 http://www.linuxidc.com/Linux/2013-07/87684.htm

—————————————— 分割线 —————————————— 

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CentOS 7.2 部署 Elasticsearch+Kibana+Zookeeper+Kafka  http://www.linuxidc.com/Linux/2016-11/137636.htm

CentOS 7 下安装 Logstash ELK Stack 日志管理系统  http://www.linuxidc.com/Linux/2016-08/134165.htm

Kafka 集群部署与配置手册 http://www.linuxidc.com/Linux/2017-02/141037.htm

CentOS 7 下 Kafka 集群安装  http://www.linuxidc.com/Linux/2017-01/139734.htm

Apache Kafka 教程笔记 http://www.linuxidc.com/Linux/2014-01/94682.htm

CentOS 7 下安装 Kafka 单机版  http://www.linuxidc.com/Linux/2017-01/139732.htm

Apache kafka 原理与特性(0.8V)  http://www.linuxidc.com/Linux/2014-09/107388.htm

Kafka 部署与代码实例  http://www.linuxidc.com/Linux/2014-09/107387.htm

Kafka 介绍及环境搭建  http://www.linuxidc.com/Linux/2016-12/138724.htm

Kafka 介绍和集群环境搭建  http://www.linuxidc.com/Linux/2014-09/107382.htm

CentOS7.0 安装配置 Kafka 集群  http://www.linuxidc.com/Linux/2017-06/144951.htm

Kafka 的详细介绍:请点这里
Kafka 的下载地址:请点这里

本文永久更新链接地址:http://www.linuxidc.com/Linux/2017-12/149321.htm

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