docker - 在确定分区位置之前 60000 毫秒的 Kafka 客户端超时已过期

Question

我正在尝试将 Flink 连接到 Kafka 消费者

我正在使用 Docker Compose 构建 4 个容器 zookeeper、kafka、Flink JobManager 和 Flink TaskManager。

对于 zookeeper 和 Kafka，我使用 wurstmeister 图像，对于 Flink，我使用官方图像。

docker-compose.yml

version: '3.1'
services:
  zookeeper:
    image: wurstmeister/zookeeper:3.4.6
    hostname: zookeeper
    expose:
      - "2181"
    ports:
      - "2181:2181"

  kafka:
    image: wurstmeister/kafka:2.11-2.0.0
    depends_on:
      - zookeeper
    ports:
      - "9092:9092"
    hostname: kafka
    links:
      - zookeeper
    environment:
      KAFKA_ADVERTISED_HOST_NAME: kafka
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_ADVERTISED_PORT: 9092
      KAFKA_CREATE_TOPICS: 'pipeline:1:1:compact'

  jobmanager:
    build: ./flink_pipeline
    depends_on:
      - kafka
    links:
      - zookeeper
      - kafka
    expose:
      - "6123"
    ports:
      - "8081:8081"
    command: jobmanager
    environment:
      JOB_MANAGER_RPC_ADDRESS: jobmanager
      BOOTSTRAP_SERVER: kafka:9092
      ZOOKEEPER: zookeeper:2181

  taskmanager:
    image: flink
    expose:
      - "6121"
      - "6122"
    links:
      - jobmanager
      - zookeeper
      - kafka
    depends_on:
      - jobmanager
    command: taskmanager
    # links:
    #   - "jobmanager:jobmanager"
    environment:
      JOB_MANAGER_RPC_ADDRESS: jobmanager

当我向 Dispatcher 提交一个简单的作业时，作业失败并显示以下错误:

org.apache.kafka.common.errors.TimeoutException: Timeout of 60000ms expired before the position for partition pipeline-0 could be determined

我的工作代码是:

public class Main {
    public static void main( String[] args ) throws Exception
    {
        // get the execution environment
        final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

        // get input data by connecting to the socket
        Properties properties = new Properties();
        String bootstrapServer = System.getenv("BOOTSTRAP_SERVER");
        String zookeeperServer = System.getenv("ZOOKEEPER");

        if (bootstrapServer == null) {
            System.exit(1);
        }

        properties.setProperty("zookeeper", zookeeperServer);
        properties.setProperty("bootstrap.servers", bootstrapServer);
        properties.setProperty("group.id", "pipeline-analysis");

        FlinkKafkaConsumer kafkaConsumer = new FlinkKafkaConsumer<String>("pipeline", new SimpleStringSchema(), properties);
        // kafkaConsumer.setStartFromGroupOffsets();
        kafkaConsumer.setStartFromLatest();

        DataStream<String> stream = env.addSource(kafkaConsumer);

        // Defining Pipeline here

        // Printing Outputs
        stream.print();

        env.execute("Stream Pipeline");
    }
}

Answer 1

我知道我迟到了，但我犯了完全相同的错误。就我而言，我没有正确设置 TopicPartitions。我的主题有 2 个分区，我的生产者正在生成消息就好了，但它是 Spark 流应用程序，作为我的消费者，在 60 秒后提示相同的错误并没有真正启动和放弃。

我有错误的代码 -

List<TopicPartition> topicPartitionList = Arrays.asList(new topicPartition(topicName, Integer.parseInt(numPartition)));

正确代码 -

List<TopicPartition> topicPartitionList = new ArrayList<TopicPartition>();

for (int i = 0; i < Integer.parseInt(numPartitions); i++) {
    topicPartitionList.add(new TopicPartition(topicName, i));
}