How to resolve the issue of too many Kafka connections?

When Kafka has too many connected objects, the following solution can be implemented:

1. Utilizing a connection pool: Utilizing a connection pool can effectively manage and reuse connection objects, reducing the overhead of creating and destroying connection objects. Mature connection pool libraries such as HikariCP and Apache Commons Pool can be used.
2. Optimize the configuration of producers and consumers: By adjusting the configuration parameters of producers and consumers, the number of connection objects can be reduced. For example, increasing the amount of data sent in batches, decreasing the sending interval, and reducing the number of concurrent connections.
3. Increasing hardware resources: If the high number of connections is due to the overload of the Kafka cluster, additional hardware resources can be added, such as increasing the number of Kafka nodes or increasing the number of partitions, to improve the cluster’s throughput and concurrency capabilities.
4. Reduce unnecessary connections: review the code to ensure that connection objects are only created when needed for Kafka usage and promptly release any connections that are no longer in use. Avoid repeatedly creating and destroying connection objects within loops.
5. By reusing connections, you can use a thread pool or event-driven method to reassign connection objects, placing the operations of these objects in a task queue to be handled by the thread pool or event loop, thus avoiding the need to create new connection objects every time.
6. Increase the number of partitions in Kafka: If there are too many connections between producers and consumers due to a low number of partitions, increasing the number of partitions in Kafka topics can improve concurrent processing capability and reduce the number of connection objects.

In conclusion, the issue of having too many Kafka connection objects can be addressed by considering and optimizing various aspects such as using connection pools, optimizing configurations, increasing hardware resources, reducing unnecessary connections, and utilizing reusing connections.