springColud:kafka

川长思鸟来 2022-05-21 03:15 138阅读 0赞

kafaka启动:

首先启动zookeeper:

//启动Zookeeper
    ./bin/zkServer.sh  start
    //关闭Zookeeper 当然我们这边就不用关闭了，大家知道就好
    ./bin/zkServer.sh  stop

再启动kafka:

启动kafka
    
    bin/kafka-server-start.sh config/server.properties &
    
    停止kafka
    bin/kafka-server-stop.sh

修改配置文件server.properties,将advertised.listeners放开并修改IP:

# 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://xxx.xxx.xxx.xxx: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://xxx.xxx.xxx.xxx: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 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 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=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

消息生产者:

添加maven的jar包：

<dependency>
    			<groupId>org.springframework.cloud</groupId>
    			<artifactId>spring-cloud-starter-stream-kafka</artifactId>
    		</dependency>

启动类:

@SpringBootApplication
    //@EnableDiscoveryClient
    //去绑定Kafka消息中间件
    @EnableBinding(Source.class)
    public class DemoApplication {
    
    	public static void main(String[] args) {
    		SpringApplication.run(DemoApplication.class, args);
    	}
    }

配置文件:

spring.application.name=spring-cloud-producer
    server.port=1002
    #eureka.client.serviceUrl.defaultZone=http://localhost:1001/eureka
    
    # =====================================================================================================================
    # == stream / kafka                                                                                                  ==
    # =====================================================================================================================
    
    spring.cloud.stream.bindings.output.destination=twostepsfromjava-cloud-producttopic
    spring.cloud.stream.bindings.output.content-type=application/json
    spring.cloud.stream.kafka.binder.brokers=111.231.73.14
    spring.cloud.stream.kafka.binder.defaultBrokerPort=9092
    spring.cloud.stream.kafka.binder.zk-nodes=111.231.73.14:2181

消息生产方法：

@RestController
    public class HelloController {
    
    
        private Source source;
    
        @Autowired
        public HelloController(Source source) {
            this.source = source;
        }
        @RequestMapping(value = "/sendMsg" )
        public void sendMsg() {
            this.send();
        }
    
        /**
         * 具体消息发送的实现
         */
        protected void send() {
    
            // 发送消息
            this.source.output().send(MessageBuilder.withPayload("这里是生产者").build());
        }
    
    
    }

消息消费者:

jar包相同

配置文件:

#在注册中心显示的app名称
    spring.application.name=spring-cloud-consumer
    server.port=1003
    
    # =====================================================================================================================
    # == stream / kafka                                                                                                  ==
    # =====================================================================================================================
    
    spring.cloud.stream.bindings.input.destination=twostepsfromjava-cloud-producttopic
    spring.cloud.stream.bindings.input.content-type=application/json
    spring.cloud.stream.kafka.binder.brokers=111.231.73.14
    spring.cloud.stream.kafka.binder.defaultBrokerPort=9092
    spring.cloud.stream.kafka.binder.zk-nodes=111.231.73.14:2181
    spring.cloud.stream.bindings.input.group=mallWebGroup

消息接收方法:

@EnableBinding(Sink.class)
    public class MsgReceiver {
    
        @StreamListener(Sink.INPUT)
        public void onProductMsg(String msg) {
            System.out.println("--------------------------------------------");
            System.out.println(msg);
        }
    
    
    }

测试：

http://localhost:1002/sendMsg

结果:

![70][]

[70]: /images/20220521/c2a7d27083284254900b5c06b789b7bb.png