Flink 从 0 到 1 学习之（13）Flink 读取 Kafka 数据写入到 RabbitMQ FlinkKafkaRabbitMQ大数据流式计算

docker run -d  -p 15672:15672  -p  5672:5672  -e RABBITMQ_DEFAULT_USER=admin -e RABBITMQ_DEFAULT_PASS=admin --name rabbitmq rabbitmq:3-management

<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-connector-rabbitmq_${scala.binary.version}</artifactId>
    <version>${flink.version}</version>
</dependency>

import com.rabbitmq.client.Channel;
import com.rabbitmq.client.Connection;
import com.rabbitmq.client.ConnectionFactory;

public class RabbitMQProducerUtil {
    public final static String QUEUE_NAME = "zhisheng";

    public static void main(String[] args) throws Exception {
        //创建连接工厂
        ConnectionFactory factory = new ConnectionFactory();

        //设置RabbitMQ相关信息
        factory.setHost("localhost");
        factory.setUsername("admin");
        factory.setPassword("admin");
        factory.setPort(5672);

        //创建一个新的连接
        Connection connection = factory.newConnection();

        //创建一个通道
        Channel channel = connection.createChannel();

        // 声明一个队列
//        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

        //发送消息到队列中
        String message = "Hello zhisheng";

        //我们这里演示发送一千条数据
        for (int i = 0; i < 1000; i++) {
            channel.basicPublish("", QUEUE_NAME, null, (message + i).getBytes("UTF-8"));
            System.out.println("Producer Send +‘" + message + i);
        }

        //关闭通道和连接
        channel.close();
        connection.close();
    }
}

import com.zhisheng.common.utils.ExecutionEnvUtil;
import org.apache.flink.api.common.serialization.SimpleStringSchema;
import org.apache.flink.api.java.utils.ParameterTool;
import org.apache.flink.streaming.api.datastream.DataStreamSource;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
import org.apache.flink.streaming.connectors.rabbitmq.RMQSource;
import org.apache.flink.streaming.connectors.rabbitmq.common.RMQConnectionConfig;

/**
 * 从 rabbitmq 读取数据
 */
public class Main {
    public static void main(String[] args) throws Exception {
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        ParameterTool parameterTool = ExecutionEnvUtil.PARAMETER_TOOL;

        //这些配置建议可以放在配置文件中，然后通过 parameterTool 来获取对应的参数值
        final RMQConnectionConfig connectionConfig = new RMQConnectionConfig
                .Builder().setHost("localhost").setVirtualHost("/")
                .setPort(5672).setUserName("admin").setPassword("admin")
                .build();

        DataStreamSource<String> zhisheng = env.addSource(new RMQSource<>(connectionConfig,
                "zhisheng",
                true,
                new SimpleStringSchema()))
                .setParallelism(1);
        zhisheng.print();

        //如果想保证 exactly-once 或 at-least-once 需要把 checkpoint 开启
//        env.enableCheckpointing(10000);
        env.execute("flink learning connectors rabbitmq");
    }
}

nested exception is com.rabbitmq.client.AuthenticationFailureException: ACCESS_REFUSED - Login was refused using authentication mechanism PLAIN. For details see the broker logfile.

 // 声明一个队列
//        channel.queueDeclare(QUEUE_NAME, false, false, false, null);

Caused by: com.rabbitmq.client.ShutdownSignalException: channel error; protocol method: #method<channel.close>(reply-code=406, reply-text=PRECONDITION_FAILED - inequivalent arg ‘durable‘ for queue ‘zhisheng‘ in vhost ‘/‘: received ‘true‘ but current is ‘false‘, class-id=50, method-id=10)

public class Main1 {
    public static void main(String[] args) throws Exception {
        final ParameterTool parameterTool = ExecutionEnvUtil.createParameterTool(args);
        StreamExecutionEnvironment env = ExecutionEnvUtil.prepare(parameterTool);
        DataStreamSource<Metrics> data = KafkaConfigUtil.buildSource(env);

        final RMQConnectionConfig connectionConfig = new RMQConnectionConfig
                .Builder().setHost("localhost").setVirtualHost("/")
                .setPort(5672).setUserName("admin").setPassword("admin")
                .build();

        //注意，换一个新的 queue，否则也会报错
        data.addSink(new RMQSink<>(connectionConfig, "zhisheng001", new MetricSchema()));
        env.execute("flink learning connectors rabbitmq");
    }
}