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  • Kafka-安装使用

    Kafka-安装使用

    kafka使用zookeeper保存broker的元数据,所以安装kafka之前需要先安装zookeeper

    安装zookeeper

    1.准备安装包,解压

    此处使用 zookeeper-3.4.9

    2.编辑配置文件

    zookeeper根目录下,新建一个数据文件夹data(我用的tmp),并且在该目录中创建一个myid的文件,用于指明自己的ID(此值为整数即可,后边会用到此值,每个机器对应一个值)

    修改conf/zoo.cfg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=/Users/FengZhen/Desktop/Hadoop/zookeeper-3.4.9/tmp
    # the port at which the clients will connect
    clientPort=2181
    # 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=localhost:2888:3888

    在这个配置中,initLimit表示用于在从节点与主节点之间建立初始化连接的时间上限

    syncLimit表示允许从节点与主节点处于不同步状态的时间上限

    这两个值都是tickTime的倍数,所以initLimit20 * 2000ms,也就是40s.

    配置里还列出了群组中所有服务器的地址,服务器地址遵循server.X=hostname:peerPort:leaderPort格式

    X:服务器的ID,它必须是一个整数,不过不一定从0开始,也不要求是连续的,上述myid中的值

    Hostname:服务器的机器名或IP地址

    peerPort:用于节点间通信的TCP端口

    leaderPort:用于首领选举的TCP端口。

    客户端只需要通过clientPort就能连接到群组,而群组节点间的通信则需要同时用到这三个端口(peerPortleaderPortclientPort

    zookeeper集群被称为群组(Ensemble),zookeeper使用的是一致性协议,所以建议每个群组里应该包含奇数个节点(比如3个、5个等),因为只有当群组里的大多数节点处于可用人数,zookeeper才能处理外部的请求。

    3个节点的群组和4个群组的节点允许失效的节点数都是1个,所以3个节点和4个节点起到的作用是一样的。

    假设有一个包含5个节点的群组,如果要对群组做一些包括更换节点在内的配置更改,需要依次重启每一个节点。如果群组无法容忍多个节点失效,那么在进行群组维护时就会存在风险。

    建议一个群组的节点数不超过7个,因为zookeeper使用了一致性协议,节点过多会降低整个群组的性能。

    3.启动zookeeper

    bin目录下 ./zkServer.sh start

    验证是否启动成功

    telnet localhost 2181 连接成功输入srvr

    FengZhendeMacBook-Pro:tmp FengZhen$ telnet localhost 2181
    Trying ::1...
    Connected to localhost.
    Escape character is '^]'.
    srvr
    Zookeeper version: 3.4.9-1757313, built on 08/23/2016 06:50 GMT
    Latency min/avg/max: 0/0/0
    Received: 1
    Sent: 0
    Connections: 1
    Outstanding: 0
    Zxid: 0x3161
    Mode: standalone
    Node count: 167

    安装kafka broker

    1.准备安装包,解压

    此处用的kafka_2.11-1.0.0

    2.配置文件修改

    修改conf/server.properties,如下

    # 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=0
    
    ############################# 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 seperated list of directories under which to store log files
    log.dirs=/tmp/kafka-logs
    
    # 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 for 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 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 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.connect=localhost:2181
    
    # Timeout in ms for connecting to zookeeper
    zookeeper.connection.timeout.ms=6000
    
    
    ############################# 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

    zookeeper.connect设置为localhost:2181,如果有多个,分号拼接

    3.启动kafka server

    bin/kafka-server-start.sh -daemon ../config/server.properties

    4.创建topic

    ./kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test_topic

    5.查看topic详情

    ./kafka-topics.sh --zookeeper localhost:2181 --describe --topic test_topic

    6.在测试主题上发布消息

    ./kafka-console-producer.sh --broker-list localhost:9092 --topic test_topic

    FengZhendeMacBook-Pro:bin FengZhen$ ./kafka-console-producer.sh --broker-list localhost:9092 --topic test_topic
    >test
    >topic
    >2020-03-25

    7.在测试主题上读取消息

    ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test_topic --from-beginning

    FengZhendeMacBook-Pro:bin FengZhen$ ./kafka-console-consumer.sh --zookeeper localhost:2181 --topic test_topic --from-beginning
    Using the ConsoleConsumer with old consumer is deprecated and will be removed in a future major release. Consider using the new consumer by passing [bootstrap-server] instead of [zookeeper].
    test
    topic
    2020-03-25
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  • 原文地址:https://www.cnblogs.com/EnzoDin/p/12571337.html
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