Message Queue CKafka

CKafka effectively decouples the relationship between message producer and consumer, allowing you to independently scale or modify the production-consumption processing procedure as long as they follow the same interface constraints.

As a result, CKafka can reliably replace traditional messaging middleware. Aside from the abilities to decouple producer-consumer relationships and cache unprocessed messages, CKafka features a higher throughput, stronger partition replication mechanism and better fault tolerance.

The ability of the system to respond to access surges is critical. However, if this kind of traffic surges are uncommon, resources invested based on peak traffic will be wasted.

CKafka ensures that critical system components are able to cope with sudden access surges, eliminating the risk of complete system crash due to request overload.

As the message processing procedure is decoupled, the efficiency of message queuing and processing can be effectively improved simply by horizontally scaling the processing procedure, enabling a fully flexible solution.

As for implementation, one CKafka topic can be divided into multiple partitions and distributed to one or more brokers.

A consumer can subscribe to one or more partitions, while the producer is responsible for evenly distributing messages to the corresponding partition. Therefore, adding more brokers can scale the cluster horizontally. Generally, the more brokers, the higher the cluster throughput.

CKafka supports multiple modes such as queue and publish/subscribe. CKafka topic supports partitioning. Different partitions can reside in different brokers to effectively increase the throughput. In addition, CKafka features a multi-queue mode, where it adopts the strategy of consumer group, i.e., one topic stores only one copy of data at a node, and different consumer groups maintain their own consumption records. This is ideal for scenarios where the messages are produced once and consumed by multiple consumer groups.