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  • 2020-04-25 kafka

    下载:zookeeper

    http://mirror.bit.edu.cn/apache/zookeeper/zookeeper-3.6.0/

     配置信息:https://www.cnblogs.com/expiator/p/9853378.html

    简介:

    一、下载

    1、下载地址:http://kafka.apache.org/downloads

     2、直接下载链接:https://mirrors.tuna.tsinghua.edu.cn/apache/kafka/2.5.0/kafka_2.13-2.5.0.tgz

    二、安装、配置

    1、放在 /usr/local 路径下

    2、解压: tar -xzf kafka_2.13-2.5.0.tgz

    3、在解压后的文件下  config/zookeeper.properties 

    设置zookeeper 的路径

     更改后文件:

    # 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.
    # the directory where the snapshot is stored.
    dataDir=/tmp/zookeeper
    # the port at which the clients will connect
    clientPort=2181
    # disable the per-ip limit on the number of connections since this is a non-production config
    maxClientCnxns=0
    # Disable the adminserver by default to avoid port conflicts.
    # Set the port to something non-conflicting if choosing to enable this
    admin.enableServer=false
    # admin.serverPort=8080

     在server.properties 设置日志路径

     更改后文件:

    # 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 #############################
    
    host.name=192.168.37.129
    
    # 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
    listeners=PLAINTEXT://192.168.37.129:9092
    
    # 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
    advertised.listeners=PLAINTEXT://192.168.37.129:9092
    
    # 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=/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 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.connect=192.168.37.129:2181
    
    # 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

    三、启动

    在/usr/local/kafka_2.13-2.5.0 目录下

    1、启动zookeeper命令:[root@ljtao3 kafka_2.13-2.5.0]# bin/zookeeper-server-start.sh config/zookeeper.properties

    2、启动kafka命令: bin/kafka-server-start.sh config/server.properties

    3、测试,

    发布消息:bin/kafka-console-producer.sh --broker-list 192.168.37.129:9092 --topic test

    订阅消息:bin/kafka-console-consumer.sh --bootstrap-server 192.168.37.129:9092 --topic test --from-beginning

     

    四、springboot 结合 kafka

    application.properties

    spring.kafka.bootstrap-servers=192.168.37.129:9092
    spring.kafka.consumer.group-id=test-consumer-group
    #是否自动提交
    spring.kafka.consumer.enable-auto-commit=true
    #自动提交频率
    spring.kafka.consumer.auto-commit-interval=3000
    #消费监听接口监听的主题不存在时,默认会报错,设置为false
    spring.kafka.listener.missing-topics-fatal=false

    Test类

    @SpringBootTest
    class SpringbootKafkaApplicationTests {
        @Autowired
        private KafkaProducer kafkaProducer;
        @Test
        void contextLoads() {
            System.out.println("ddd");
        }
        @Test
        void testKafka() throws InterruptedException {
            kafkaProducer.send("testTopic2","aaa");
            kafkaProducer.send("testTopic2","bbb");
            Thread.sleep(1000*20);
        }
    
    }
    @Component
    class KafkaProducer{
        @Autowired
        private KafkaTemplate<String,String> kafkaTemplate;
        public void send(String topic,String data){
            kafkaTemplate.send(topic,data);
        }
    }
    @Component
    class KafkaConsumer{
        @KafkaListener(topics = {"testTopic2"})
        public void listen(ConsumerRecord<?,String> record){
            System.out.println(record.value());
        }
    }

     运行结果:

     

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  • 原文地址:https://www.cnblogs.com/mathlin/p/12772562.html
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