Can you explain how partition distribution is carried out in Kafka between cluster nodes?

In Kafka, topic partitions are distributed among brokers (cluster nodes) to ensure scalability and fault tolerance. Each topic is divided into several partitions, and each partition is assigned to one broker as a leader, which handles all read and write operations for that partition.

Partition distribution occurs as follows:

• When a topic is created, partitions are evenly distributed among available brokers.
• Each broker can be a leader for multiple partitions and a replica for others.
• If a broker fails, leadership of partitions is transferred to replicas to maintain availability.

Thus, Kafka provides load balancing and fault tolerance through partition distribution across cluster nodes.