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How to Implement Custom Exponential Retry in Spring Boot with Kafka
🧵 Struggling with custom exponential retries in your Spring Boot Kafka application? Here’s a quick guide to get it working! 🚀
1/7 🌱 Dependency Setup:
Ensure you have the necessary dependencies in your pom.xml or build.gradle. You need spring-kafka and spring-retry.
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.retry</groupId>
<artifactId>spring-retry</artifactId>
</dependency>
2/7 🛠️ Configuration:
Create a Kafka configuration class to set up retry policies. Use RetryTemplate for exponential backoff.
@Configuration
public class KafkaConfig {
@Bean
public RetryTemplate retryTemplate() {
RetryTemplate retryTemplate = new RetryTemplate();
FixedBackOffPolicy backOffPolicy = new FixedBackOffPolicy();
backOffPolicy.setBackOffPeriod(1000); // initial interval
retryTemplate.setBackOffPolicy(backOffPolicy);
retryTemplate.setRetryPolicy(new SimpleRetryPolicy(3)); // max attempts
return retryTemplate;
}
}
3/7 🔄 Exponential Backoff Policy:
For exponential backoff, use ExponentialBackOffPolicy.
@Bean
public RetryTemplate retryTemplate() {
RetryTemplate retryTemplate = new RetryTemplate();
ExponentialBackOffPolicy backOffPolicy = new ExponentialBackOffPolicy();
backOffPolicy.setInitialInterval(1000);
backOffPolicy.setMaxInterval(10000);
backOffPolicy.setMultiplier(2);
retryTemplate.setBackOffPolicy(backOffPolicy);
retryTemplate.setRetryPolicy(new SimpleRetryPolicy(3));
return retryTemplate;
}
4/7 📥 Consumer Factory:
Integrate the RetryTemplate with your Kafka consumer factory.
@Bean
public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory =
new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.setRetryTemplate(retryTemplate());
return factory;
}
5/7 🏗️ Consumer Factory Method:
Define the consumer factory method as well.
@Bean
public ConsumerFactory<String, String> consumerFactory() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.put(ConsumerConfig.GROUP_ID_CONFIG, "group_id");
props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
return new DefaultKafkaConsumerFactory<>(props);
}
6/7 🎧 Listener:
Ensure your listener is configured properly to handle retries.
@KafkaListener(topics = "topic_name", groupId = "group_id")
public void listen(String message) {
// Your message handling logic
System.out.println("Received message: " + message);
// Simulate error for retry
if (message.equals("retry")) {
throw new RuntimeException("Simulated error");
}
}
7/7 🎉 Wrap Up:
With these configurations, your Spring Boot Kafka application should now properly handle custom exponential retries.
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