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Partition count

Partition count is the configured number of partitions into which a partitioned data set is divided.

How 2 Manning books explain it

Apache Kafka in Action

A partition count is the configured number of partitions belonging to a Kafka topic.

How it is used
Sets topic parallelism for producers, brokers, and consumer groups while balancing throughput against ordering and operating costs.
How deep it goes
Works through sizing heuristics and increase-only changes, including their effects on data distribution and keyed-message order.
Examples
Uses a price-change topic with two partitions, topic-inspection commands, and an illustration of keys moving after an increase.
What you can do after
Operate and configure it with `kafka-topics.sh`, then evaluate whether added parallelism justifies resource costs and ordering risks.

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Kafka for Architects

A partition count is the configured number of partitions assigned to a Kafka topic.

How it is used
Configures topic parallelism while constraining ordering and influencing broker recovery and metadata workload.
How deep it goes
Explains selection trade-offs, key-based ordering, resource costs, metadata limits, recovery effects, and topic-change constraints.
Examples
Uses Customer 360 profile and transaction topics, nine-partition configurations, and keyed customer balance updates.
What you can do after
Evaluate partition sizing and configure topics without separating parallelism, ordering, availability, and operational cost.

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Related concepts

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