How should partitions be distributed among pods when reading?

When reading from a distributed system with partitions (e.g., Kafka), partitions should be distributed among Pods in such a way that each partition is processed by exactly one pod at any given time. This ensures consistency and orderliness in message processing.

Key principles of distribution:

• Each partition is assigned to one pod.
• If there are fewer pods than partitions, some pods will process multiple partitions.
• If there are more pods than partitions, some pods will be idle, as a partition cannot be split among multiple pods.
• When the number of pods changes, rebalancing occurs to redistribute the partitions.

This allows scaling of processing and guarantees that messages from a single partition will be processed sequentially by one consumer.