How do I handle reconnections and backoffs in Kafka using Go?

Handling reconnections and backoffs in Kafka using Go is crucial for ensuring robust communication between your Go application and the Kafka broker. Implementing exponential backoff strategies helps manage connection retries efficiently, minimizing system strain during broker downtime.

In the example below, we demonstrate how to implement reconnection logic with exponential backoff in a Kafka producer.

package main import ( "fmt" "log" "time" "github.com/segmentio/kafka-go" ) func main() { writer := kafka.NewWriter(kafka.WriterConfig{ Brokers: []string{"localhost:9092"}, Topic: "example-topic", Balancer: &kafka.Hash{}, }) defer writer.Close() for { err := writer.WriteMessages(context.Background(), kafka.Message{ Key: []byte("Key-A"), Value: []byte("Message-A"), }, ) if err != nil { log.Printf("Failed to write message: %v", err) backoff := 1 * time.Second for retries := 0; retries < 5; retries++ { log.Printf("Retrying in %v...", backoff) time.Sleep(backoff) backoff *= 2 // Exponential backoff err = writer.WriteMessages(context.Background(), kafka.Message{ Key: []byte("Key-A"), Value: []byte("Message-A"), }, ) if err == nil { log.Println("Message sent successfully") break } } if err != nil { log.Printf("All retries failed: %v", err) break } } } }

kafka go reconnections programming exponential backoff robust communication

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