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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

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  1. 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

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  1. #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:

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  1. # 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。

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  1. #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

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  1. 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:

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  1. 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:

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


#解压软件:

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  1. tar -zxvf kafka_2.13-3.0.0.tgz


2.2 修改配置文件

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


主要关注:server.properties 这个文件即可。

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  1. # 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。

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  1. #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

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  1. 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。

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  1. #jps

    3284 Kafka

    97419 Jps

    5775 QuorumPeerMain

    #
    ps -ef|grep kafka


2.4 测试发布、消费消息

##创建topic:

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  1. ./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:

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  1. ./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:

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  1. ./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:

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  1. ./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:

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  1. ./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:

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  1. ./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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