Synchronize Different Consumers Of The Same Kafka Topic Dev Community It depends on group id. suppose you have a topic with 12 partitions. if you have 2 kafka consumers with the same group id, they will both read 6 partitions, meaning they will read different set of partitions = different set of messages. if you have 4 kafka consumers with the same group id, each of them will all read three different partitions etc. Learn how to configure multiple listeners for the same kafka topic using spring kafka library. see different strategies for increasing concurrency, processing logic, and consumer groups.
Synchronize Different Consumers Of The Same Kafka Topic By Devora The consumer group is a crucial part of kafka applications. this allows the grouping of similar consumers and makes it possible for them to read in parallel from a partitioned topic. hence, it improves the performance and scalability of kafka applications. 2.1. the group coordinator and the group leader. Scenario 1: let’s say we have a topic with 4 partitions and 1 consumer group consisting of only 1 consumer. the consumer has subscribed to the topict1 and is assigned to consume from all the. Learn how to use kafkaconsumer to subscribe to topics and receive messages from them. understand the concepts of consumers, consumer groups, partition rebalance, and how to scale consumption from topics. If you want multiple consumers for the same topic but with the same group id, it will start consuming from single partition. i.e. a topic contains 3 partitions and you create 3 consumers with same group id, each consumer will consume from one partition.
Kafka List All Consumer Groups At Tammy Dodson Blog Learn how to use kafkaconsumer to subscribe to topics and receive messages from them. understand the concepts of consumers, consumer groups, partition rebalance, and how to scale consumption from topics. If you want multiple consumers for the same topic but with the same group id, it will start consuming from single partition. i.e. a topic contains 3 partitions and you create 3 consumers with same group id, each consumer will consume from one partition. Conclusion. in this spring kafka multiple consumer java configuration example, we learned to creates multiple topics using topicbuilder api. then we configured one consumer and one producer per created topic. to run the above code, please follow the rest api endpoints created in kafka jsonserializer example. Complexity from the consumer side: service a needs to join between the original t1 topic and the two output topics and carefully handle a situation where one (or more) of them is very behind. it.
Kafka Which Consumer Will Get The Message If There Are Many Consumers Conclusion. in this spring kafka multiple consumer java configuration example, we learned to creates multiple topics using topicbuilder api. then we configured one consumer and one producer per created topic. to run the above code, please follow the rest api endpoints created in kafka jsonserializer example. Complexity from the consumer side: service a needs to join between the original t1 topic and the two output topics and carefully handle a situation where one (or more) of them is very behind. it.
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