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Partitions
Within the Kafka cluster, topics are divided into partitions , and the partitions are replicated across brokers. From each partition, multiple consumers can read from a topic in parallel. It's also possible to have producers add a key to a message-all messages with the same key will go to the same partition.
While messages are added and stored within partitions in sequence,messages without keys are written to partitions in a round robin fashion.By leveraging keys,you can guarantee the order of processing for messages in Kafka that share the same key. This is a particularly useful feature for applications that require total control over records. There is no limit on the number of Kafka partitions that can be created(subject to the processing capacity of a cluster).
Topic - Partitions
Kafka write scalability—showing concurrent replication to followers
Kafka read scalability—partitions enable concurrent consumers
