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私は Golang と Kafa を初めて使用するので、これはばかげた質問のように思えるかもしれません。

Kafka コンシューマーが最初に Kafka サーバーに接続した後、Kafka サーバーへの接続を確立してから最初のメッセージを受信するまでに遅延 (~ 20 秒) があるのはなぜですか?

直前にメッセージを出力し、受信したメッセージconsumer.Messages()ごとに別のメッセージを出力します。~20 秒の遅延は、1 番目fmt.Printlnと 2 番目の間fmt.Printlnです。

package main

import (
    "fmt"

    "github.com/Shopify/sarama"
    cluster "github.com/bsm/sarama-cluster"
)

func main() {

    // Create the consumer and listen for new messages
    consumer := createConsumer()

    // Create a signal channel to know when we are done
    done := make(chan bool)

    // Start processing messages
    go func() { 
        fmt.Println("Start consuming Kafka messages")
        for msg := range consumer.Messages() {
            s := string(msg.Value[:])
            fmt.Println("Msg: ", s)
        }
    }()

    <-done

}

func createConsumer() *cluster.Consumer {
    // Define our configuration to the cluster
    config := cluster.NewConfig()
    config.Consumer.Return.Errors = false
    config.Group.Return.Notifications = false
    config.Consumer.Offsets.Initial = sarama.OffsetOldest

    // Create the consumer
    brokers := []string{"127.0.0.1:9092"}
    topics := []string{"orders"}
    consumer, err := cluster.NewConsumer(brokers, "my-consumer-group", topics, config)
    if err != nil {
        log.Fatal("Unable to connect consumer to Kafka")
    }
    go handleErrors(consumer)
    go handleNotifications(consumer)
    return consumer
}

docker-compose.yml

version: '2'
services:
zookeeper:
    image: "confluentinc/cp-zookeeper:5.0.1"
    hostname: zookeeper
    ports:
    - "2181:2181"
    environment:
    ZOOKEEPER_CLIENT_PORT: 2181
    ZOOKEEPER_TICK_TIME: 2000

broker-1:
    image: "confluentinc/cp-enterprise-kafka:5.0.1"
    hostname: broker-1
    depends_on:
    - zookeeper
    ports:
    - "9092:9092"
    environment:
    KAFKA_BROKER_ID: 1
    KAFKA_BROKER_RACK: rack-a
    KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181'
    KAFKA_ADVERTISED_HOST_NAME: 127.0.0.1
    KAFKA_ADVERTISED_LISTENERS: 'PLAINTEXT://127.0.0.1:9092'
    KAFKA_METRIC_REPORTERS: io.confluent.metrics.reporter.ConfluentMetricsReporter
    KAFKA_DELETE_TOPIC_ENABLE: "true"
    KAFKA_JMX_PORT: 9999
    KAFKA_JMX_HOSTNAME: 'broker-1'
    KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1
    CONFLUENT_METRICS_REPORTER_BOOTSTRAP_SERVERS: broker-1:9092
    CONFLUENT_METRICS_REPORTER_ZOOKEEPER_CONNECT: zookeeper:2181
    CONFLUENT_METRICS_REPORTER_TOPIC_REPLICAS: 1
    CONFLUENT_METRICS_ENABLE: 'true'
    CONFLUENT_SUPPORT_CUSTOMER_ID: 'anonymous'
    KAFKA_CREATE_TOPICS: "orders:1:1"
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