In Apache Kafka, there are two main types of producers: synchronous (blocking) and asynchronous (non-blocking). These types of producers determine how the messages are sent to Kafka brokers.
1. Synchronous Producer:
- Synchronous producers send messages to Kafka and wait for acknowledgment before sending the next message.
- It provides a straightforward and blocking way to produce messages.
- This type of producer is suitable when you need to ensure that each message is successfully sent and acknowledged before proceeding.
2. Asynchronous Producer:
- Asynchronous producers do not wait for acknowledgments before sending the next message.
- They provide better throughput and are more suitable for scenarios where high throughput is a priority and some level of potential message loss can be tolerated.
- Asynchronous producers use a callback mechanism to handle acknowledgments and errors.
The choice between synchronous and asynchronous producers depends on your specific use case requirements. If you need a higher throughput and can tolerate some level of potential message loss, an asynchronous producer might be more suitable. If you require a guarantee that each message is successfully sent and acknowledged before proceeding, a synchronous producer might be a better choice.
These two types of producers help developers design their Kafka producer applications based on their specific use case requirements and performance considerations.
Certainly! Here's a basic example of both synchronous and asynchronous Kafka producers using the Kafka Producer API in Java. Please note that you would need the Kafka client library in your project to use these examples.
#### Synchronous Producer Example:
```java
import org.apache.kafka.clients.producer.*;
import java.util.Properties;
public class SyncKafkaProducer {
public static void main(String[] args) {
// Set up producer properties
Properties properties = new Properties();
properties.put("bootstrap.servers", "your_kafka_bootstrap_servers");
properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
// Create KafkaProducer instance
Producer<String, String> producer = new KafkaProducer<>(properties);
// Create a ProducerRecord
ProducerRecord<String, String> record = new ProducerRecord<>("your_topic", "key", "Hello, Kafka!");
// Send the record synchronously
try {
RecordMetadata metadata = producer.send(record).get();
System.out.println("Record sent to partition " + metadata.partition() + " with offset " + metadata.offset());
} catch (Exception e) {
e.printStackTrace();
} finally {
producer.close();
}
}
}
```
#### Asynchronous Producer Example:
```java
import org.apache.kafka.clients.producer.*;
import java.util.Properties;
public class AsyncKafkaProducer {
public static void main(String[] args) {
// Set up producer properties
Properties properties = new Properties();
properties.put("bootstrap.servers", "your_kafka_bootstrap_servers");
properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
// Create KafkaProducer instance
Producer<String, String> producer = new KafkaProducer<>(properties);
// Create a ProducerRecord
ProducerRecord<String, String> record = new ProducerRecord<>("your_topic", "key", "Hello, Kafka!");
// Send the record asynchronously with a callback
producer.send(record, new Callback() {
@Override
public void onCompletion(RecordMetadata metadata, Exception exception) {
if (exception == null) {
System.out.println("Record sent to partition " + metadata.partition() + " with offset " + metadata.offset());
} else {
exception.printStackTrace();
}
}
});
// Close the producer
producer.close();
}
}
```
Make sure to replace `"your_kafka_bootstrap_servers"` and `"your_topic"` with your actual Kafka bootstrap servers and topic name. Additionally, handle exceptions appropriately in a production environment.
No comments:
Post a Comment