How to define a single threaded handler for multiple sink bindings or input destinations?
See original GitHub issueI have a requirement to check if spring cloud streams supports single threaded handler for multiple input bindings. If I configure my app to have a single binding with 2 destination:
spring:
cloud:
stream:
defaultBinder: kafka
bindings:
input:
destination: c1,c2
group: mygroup
consumer:
partitioned: true
and a listener:
@StreamListener("input")
public void receive(Message<?> message) {
System.out.println("["+Thread.currentThread().getId()+"] Received1 message "+message);
}
I see that the message are consumed with 2 different threads:
[38] Received1 message ...
[30] Received1 message ...
Is there anyway to configure my app so I can control the number of handling threads, regardless of the number of the binding\destinations configured?
Noticed that if I do similar thing using spring-kafka, I do see that the messages are handled by a single thread:
kafka:
consumer:
bootstrap: localhost:9092
group: mygroup
topic:
- c1
- c2
and:
@KafkaListener(topics = {"c1","c2"})
public void onReceiving(String msg, @Header(KafkaHeaders.OFFSET) Integer offset,
@Header(KafkaHeaders.RECEIVED_PARTITION_ID) int partition,
@Header(KafkaHeaders.RECEIVED_TOPIC) String topic) {
System.out.println("["+Thread.currentThread().getId()+"] Processing msg = "+msg+", topic = "+topic+", partition = "+partition);
}
Issue Analytics
- State:
- Created 6 years ago
- Reactions:1
- Comments:12 (10 by maintainers)
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If we want to use this one, i’d rather change the title of it a bit since there are now two things discussed and interestingly enough the one we’re discussing now is not actually related to the issue clarified by @fghawi , so I prefer to raise new one and link o this one for details
Both containers (RabbitMQ and Kafka) support consuming from multiple queues/topics, but the binder doesn’t work that way - each destination gets its own container.
I suggested some time ago that we should add an option to support multi-destination per container, but it never got any priority. We should reconsider, I guess.