美文网首页
Kafka安装

Kafka安装

作者: husky_1 | 来源:发表于2022-02-17 14:19 被阅读0次

    集群安装

    kafka集依赖于zookeeer,所以安装kafka 集群时,先确保zookeeper集群已经安装启动,参考 https://www.jianshu.com/p/9a325551f02c

    以kafka 3.1.0 版本为例
    1 . 下载安装包: 地址 https://kafka.apache.org/downloads
    2 . 解压安装包并进入解压后的目录:

    [root@iZuf6g3hri8hvnuqng6id7Z kafka]# tar -zxvf kafka_2.12-3.1.0.tgz 
    [root@iZuf6g3hri8hvnuqng6id7Z kafka]# cd kafka_2.12-3.1.0
    [root@iZuf6g3hri8hvnuqng6id7Z kafka_2.12-3.1.0]# ls
    bin  config  libs  LICENSE  licenses  NOTICE  site-docs
    
    1. 进入config配置目录:修改配置文件 server.properties中的broker.id, log.dirs,zookeeper.connect
    # server.properties 文件
    
    ############################# Server Basics #############################
    
    # The id of the broker. This must be set to a unique integer for each broker.
    # 集群中的每个kafka节点的id,全剧唯一
    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://: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
    
    # 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
    
    # 数据存放路径
    log.dirs=/root/kafka/kafka_2.12-3.1.0/data
    # 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=168
    
    # 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 集群的地址,  /kafka 指的对应kafka集群在zookeeper中的数据根路径(可以不设置)
    zookeeper.connect=localhost:2181,localhost:2182,localhost:2183/kafka
    
    # 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
    
    1. 启动节点
      进入到kafka bin目录下, 启动如下指令
    # -daemon 守护进程方式运行 ,../config/server.properties : 指定对应的配置文件
    [root@iZuf6g3hri8hvnuqng6id7Z bin]# ./kafka-server-start.sh -daemon ../config/server.properties 
    
    1. 按照如上的方式,在其他服务器上启动对应的若干个kafka 节点, 组成集群

    操作指令

    1. 主题相关命令

    主题相关操作指令主要基于kafka bin 目录下的 kafka-topics.sh

    主要参数 描述
    --bootstrap-server <String:server to connect to> 连接的kafka的主机名和端口号
    --topic <String: topic> 操作的topic名称
    --create 创建主题
    --delete 删除主题
    --alter 修改主题
    --list 查看所有主题
    --describe 查看主题详细描述
    --partitions <Integer: # of partitions> 设置分区数
    --replication-factor<Integer: replication factor> 设置分区副本
    --config <String: name=value> 更新系统的默认的配置
    • . 创建topic
    # 创建名为test, 分区个数为1个, 副本2 个的topic
     kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --topic test --create --partitions 1 --replication-factor 2
    Created topic test.
    
    
    • . 查看当前服务器所有的topic
    kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --list
    test
    
    • . 查看对应主题的详细信息
    kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --topic test --describe
    
    Topic: test     TopicId: MPY45pufQ_m-bW7h_cSULQ PartitionCount: 1       ReplicationFactor: 2    Configs: segment.bytes=1073741824
    Topic: test     Partition: 0    Leader: 2       Replicas: 2,1   Isr: 2,1
    
    • . 修改主题
    # 修改test 的分区数从1 变为2
     ./kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --topic test --alter --partitions 2
    
    # 查看test 主题的详细信息
     ./kafka-topics.sh --bootstrap-server 127.0.0.1:9092 --topic test --describe
    Topic: test     TopicId: MPY45pufQ_m-bW7h_cSULQ PartitionCount: 2       ReplicationFactor: 2    Configs: segment.bytes=1073741824
            Topic: test     Partition: 0    Leader: 2       Replicas: 2,1   Isr: 2,1
            Topic: test     Partition: 1    Leader: 1       Replicas: 1,2   Isr: 1,2
    
    2. 生产,消费者

    生产者操作指令主要基于kafka bin 目录下的 kafka-console-producer.sh

    ./kafka-console-producer.sh  --bootstrap-server 127.0.0.1:9092 --topic test 
    

    消费者操作指令主要基于kafka bin 目录下的 kafka-console-producer.sh

    # --from-beginning:  消费的数据偏移从最开始,说明从头开始消费全部数据,默认是从最新的偏移量开始消费
    ./kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic test --from-beginning
    

    相关文章

      网友评论

          本文标题:Kafka安装

          本文链接:https://www.haomeiwen.com/subject/joxdlrtx.html