I have found a AI site https://www.phind.com/ where i give the following question:
java code in quarkus and kafka to produce "working" class using avro with topic "working" using cronos expression from 30 seconds interval , also create client to listen if the message was send to the topic
ANSWER | PHIND INSTANT MODEL
To achieve your goal of producing a "working" class using Avro in Quarkus with Kafka, targeting a topic named "working", and setting up a consumer to listen for messages sent to this topic with a cron schedule every 30 seconds, follow these steps:
Step 1: Add Dependencies
First, ensure you have the necessary dependencies in your pom.xml file for Quarkus, Kafka, and Avro support.
Step 2: Define Your Avro Schema
Create an Avro schema for your "working" class. This example assumes a simple class structure; adjust according to your needs.
Generate Java classes from this schema using Avro tools or a plugin like maven-avro-plugin.
Step 3: Produce Messages
Implement a producer that sends messages to the "working" topic. Use a cron schedule to control the frequency of message production.
import io.smallrye.reactive.messaging.kafka.Record; import org.apache.avro.generic.GenericRecord; import javax.enterprise.context.ApplicationScoped; import javax.inject.Inject; import javax.ws.rs.POST; import javax.ws.rs.Path; import javax.ws.rs.Produces; import javax.ws.rs.core.MediaType; import java.time.Duration; import java.util.concurrent.TimeUnit; @Path("/produce") @ApplicationScoped public class Producer { @Inject @KafkaClient("kafka-client") Channel<KStream<String, GenericRecord>> channel; public void start() { // Schedule the producer to run every 30 seconds Timer.scheduleAtFixedRate(this::sendMessages, Duration.ofSeconds(30), Duration.ofSeconds(30)); } private void sendMessages() { try { var working = new Working(); working.setId("123"); working.setStatus("working"); Record<String, GenericRecord> record = Record.of("key", working); channel.send(record).await().indefinitely(); System.out.println("Message sent successfully."); } catch (Exception e) { e.printStackTrace(); } } }
Step 4: Consume Messages
Set up a consumer to listen for messages on the "working" topic. Use a cron schedule to trigger consumption every 30 seconds.
import io.smallrye.reactive.messaging.annotations.Blocking; import io.smallrye.reactive.messaging.annotations.Channel; import io.smallrye.reactive.messaging.annotations.Consumer; import io.smallrye.reactive.messaging.annotations.OnPartitionOffset; import org.apache.avro.generic.GenericRecord; import javax.enterprise.context.ApplicationScoped; @ApplicationScoped public class Consumer { @Channel("kafka-client") @Consumer(blocking = Blocking.BLOCK_IF_NO_MESSAGES) KStream<String, GenericRecord> stream; @OnPartitionOffset void consume(String partition, Long offset) { System.out.println("Consumed message from partition " + partition + " at offset " + offset); } }
Step 5: Configure Quarkus Application Properties
Configure your application.properties file to set up Kafka clients and topics.
# Kafka configuration quarkus.kubernetes.deployment.enabled=true quarkus.kafka.bootstrap.servers=localhost:9092 quarkus.kafka.clients.producer.topic=working quarkus.kafka.clients.consumer.topic=working quarkus.kafka.clients.consumer.group-id=my-group # Cron scheduling quarkus.scheduler.cron-expressions=0/30 * * * *
This setup uses Quarkus' reactive messaging capabilities to produce and consume messages with Avro serialization. Adjust configurations and code as needed for your specific requirements.
