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KAFKA集群部署实践

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KAFKA集群部署实践

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基本概念



消费者(Consumer):向topic注册,并且接收发布到这些topic的消息

生产者(Producer):向kafka的topic发布消息的程序

服务端(broker):kafka以一个拥有一台或多台服务器的集群运行着,每一台服务器称为broker

1. Kafka架构

生产者、kafka集群、消费者架构图

kafka集群中的消息,以topic 的形式组织排序,如下图所示:

2. 基本概念

2.1 主题(Topic)

对消息进行分类单元,通常在一个应用中对应一个Topic,以此进行区分。一个主题就是一个类别或者一个可订阅的条目名称。对每个topic来说,kafka维护的是一个分区日志(partitioned log)

2.2 分区(Partition)

每个分区是一个有序的、不可变的消息序列,这个序列可以被连续地追加提交日志。在分区内的每条消息都有一个有序的id号,这个id号被称为偏移offset,这个偏移量可以唯一确定每条消息在分区内的位置。

 工作图



安装步骤


1. zookeeper安装

服务器三台:安装均在三台服务器上统一操作。

192.168.48.130

192.168.48.131

192.168.48.132

注意:

zk3.5.5之后的版本,选择带bin 的为二进制安装包;

注意jdk版本,3.5.5之后的一直用jdk1.8版本。

1.1 安装java环境

yum -y install java-1.8.0-openjdk*

1.2 下载zookeeper并创建对应目录

cd /opt

mkdir zookeeper

mkdir -p zookeeper/zkdata #快照日志

mkdir -p zookeeper/ zkdatalog#事物日志


cd /opt/zookeeper/

wget https://mirrors.cnnic.cn/apache/zookeeper/zookeeper-3.5.9/apache-zookeeper-3.5.9-bin.tar.gz

tar -zxvf apache-zookeeper-3.5.9-bin.tar.gz


1.3 修改配置文件

#进入conf目录

cd /opt/zookeeper/ apache-zookeeper-3.5.9-bin/conf

cp zoo_sample.cfg zoo.cfg

#zoo_sample.cfg 官方的zookeeper样例文件。


配置文件:

# The number of milliseconds of each tick

tickTime=2000

#
 The number of ticks that the initial

#
 synchronization phase can take

initLimit=10

#
 The number of ticks that can pass between

#
 sending a request and getting an acknowledgement

syncLimit=5

#
 the directory where the snapshot is stored.

#
 do not use /tmp for storage, /tmp here is just

#
 example sakes.

dataDir=/opt/zookeeper/zkdata

dataLogDir=/opt/zookeeper/zkdatalog


#
 the port at which the clients will connect

clientPort=12181

#
 the maximum number of client connections.

#
 increase this if you need to handle more clients

#
maxClientCnxns=60

#


#
 Be sure to read the maintenance section of the

#
 administrator guide before turning on autopurge.

#


#
 http://zookeeper.apache.org/doc/current/zookeeperAdmin.html#sc_maintenance

#


#
 The number of snapshots to retain in dataDir

#
autopurge.snapRetainCount=3

#
 Purge task interval in hours

#
 Set to "0" to disable auto purge feature

#
autopurge.purgeInterval=1


server.1=192.168.48.130:12888:13888

server.2=192.168.48.131:12888:13888

server.3=192.168.48.132:12888:13888


只根据情况修改了datadir 、clientPort和添加server配置。

#server.1 1为服务器标识,主要用于区分标识服务器,同样下面myid文件里也是根据这个数字命名。

#clientPort:客户端连接Zookeeper的端口。

1.4 创建myid文件

给zk集群服务器标识,整个zk集群用来发现彼此的一个重要标识。

#server1

echo "1" > /opt/zookeeper/zkdata/myid

#server2

echo "2" > /opt/zookeeper/zkdata/myid

#server3

echo "3" > /opt/zookeeper/zkdata/myid


1.5 启动服务

cd /opt/zookeeper/apache-zookeeper-3.5.9-bin/bin

./zkServer.sh start

./zkServer.sh status  #检查状态

[root@localhost apache-zookeeper-3.5.9-bin]# ./bin/zkServer.sh status

/usr/bin/java

ZooKeeper JMX enabled by default

Using config: /opt/zookeeper/apache-zookeeper-3.5.9-bin/bin/../conf/zoo.cfg

Client port found: 12181. Client address: localhost. Client SSL: false.

Mode: leader


#一般一个leader多个follower


2. kafka集群安装测试

2.1软件下载

#创建目录:

cd /opt/

mkdir kafka #创建项目目录

cd kafka

mkdir kafkalogs #kafka消息目录,主要存放kafka消息


#下载软件:

wget --no-check-certificate https://dlcdn.apache.org/kafka/3.0.0/kafka_2.13-3.0.0.tgz


#解压软件:

tar -zxvf kafka_2.13-3.0.0.tgz


2.2 修改配置文件

cd /opt/kafka/kafka_2.13-3.0.0/config/


主要关注:server.properties 这个文件即可。

# 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


############################# 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 = listener_name://host_name:port

# EXAMPLE:

# listeners = PLAINTEXT://your.host.name:9092

listeners=PLAINTEXT://192.168.48.131:19092


# 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


# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details

#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL


# The number of threads that the server uses for receiving requests from the network and sending responses to the network

num.network.threads=3


# The number of threads that the server uses for processing requests, which may include disk I/O

num.io.threads=8


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

socket.send.buffer.bytes=102400


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

socket.receive.buffer.bytes=102400


# The maximum size of a request that the socket server will accept (protection against OOM)

socket.request.max.bytes=104857600


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


# A comma separated list of directories under which to store log files

log.dirs=/opt/kafka/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


############################# Internal Topic Settings #############################

# The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"

# For anything other than development testing, a value greater than 1 is recommended to ensure availability such as 3.

offsets.topic.replication.factor=1

transaction.state.log.replication.factor=1

transaction.state.log.min.isr=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 excessive 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 due to age

log.retention.hours=48


# A size-based retention policy for logs. Segments are pruned from the log unless the remaining

# segments drop below log.retention.bytes. Functions independently of log.retention.hours.

#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=192.168.48.130:12181,192.168.48.131:12181,192.168.48.132:12181


# Timeout in ms for connecting to zookeeper

zookeeper.connection.timeout.ms=18000


############################# Group Coordinator Settings #############################


# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.

# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.

# The default value for this is 3 seconds.

# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.

# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.

group.initial.rebalance.delay.ms=0


#broker.id=1  每台服务器的broker.id都不能相同。

#zookeeper.connect=192.168.48.130:12181,192.168.48.131:12181,192.168.48.132:12181

#
listeners=PLAINTEXT://192.168.48.131:19092

#
log.dirs=/opt/kafka/kafkalogs


其他按需配置。

2.3 启动集群

cd /opt/kafka/kafka_2.13-3.0.0

./bin/kafka-server-start.sh -daemon /opt/kafka/kafka_2.13-3.0.0/config/server.properties


检查是否启动成功。

#jps

3284 Kafka

97419 Jps

5775 QuorumPeerMain

#
ps -ef|grep kafka


2.4 测试发布、消费消息

##创建topic:

./bin/kafka-topics.sh --create --bootstrap-server 
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092 
--replication-factor 3 --partitions 1 --topic test


## 删除topic:

./bin/kafka-topics.sh --bootstrap-server 
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092 
--delete --topic test


## topic列表查询:

./bin/kafka-topics.sh --list --bootstrap-server 
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092


## 创建生产者:

./bin/kafka-console-producer.sh --broker-list 
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092 
--topic test


## 创建消费者:

./bin/kafka-console-consumer.sh --bootstrap-server 
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092 
--topic test  --from-beginning --consumer.config config/consumer.properties


##查看集群topic信息:

./bin/kafka-topics.sh --describe --bootstrap-server 
192.168.48.131:19092,192.168.48.130:19092,192.168.48.132:19092 
--topic test


3. 测试消费情况

--生产者:

--消费者:




本文作者:吴昊

本文来源:IT那活儿(上海新炬王翦团队)

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