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- Apache Kafka Reference Guide - Quarkus
You can configure timeout for Kafka admin client calls used in topic creation using quarkus kafka devservices topic-partitions-timeout, it defaults to 2 seconds
- Quarkus Kafka Partitions config only seem to process one of . . .
If my understanding is correct, when setting the partitions config to 3, the Small-Rye Reactive Messaging library creates three kafka consumers on seperate threads under the hood using the same group id Since they are using the same group id, the consumers will read each partition from that topic –
- Timeout when using quarkus-kafka-streams extension #23948
If I set quarkus kafka-streams topics="" the application fails because it is a mandatory field 😿 I think is more efficient to use the method you described, but I honestly don't know what happens when the topic is not created
- Dev Services for Kafka
This is where the Dev Service for Kafka in Quarkus comes into play, offering a simplified and efficient way to handle Kafka complexities during the development cycle In this article, we explore the benefits of this feature and provide examples of configuration from the application properties file
- Maximize Kafka Performance with Quarkus: Common Pitfalls
Maximizing Kafka performance when using Quarkus involves numerous optimizations spanning configuration, monitoring, and resource management By avoiding common pitfalls, such as misconfigured producer properties, overlooking compression, and neglecting consumer lag monitoring, you can build robust, high-performing applications capable of
- Dev Services for Kafka - Quarkus
You can configure timeout for Kafka admin client calls used in topic creation using quarkus kafka devservices topic-partitions-timeout, it defaults to 2 seconds By default, the Redpanda broker is configured to enable transactions and idempotence features You can disable those using: Redpanda transactions does not support exactly-once processing
- TooManyMessagesWithoutAckException while processing kafka . . .
In a quarkus process we're performing below steps once the message is polled from kafka Once almost everyday the process hangs after throwing TooManyMessagesWithoutAckException
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