Particije su centrale Kafkinom dizajnu — omogućuju paralelizam i skalabilnost (distribuciju podataka i konzumiranja) dok pružaju garantije sortiranja unutar svake particije. Razumijevanje particija je ključno za razumijevanje kako se Kafka skalira i sortira događaje.
Particije omogućuju paralelizam i skalabilnost
A topic is split into multiple PARTITIONS, distributed across brokers:
→ data is spread across partitions → distribute storage and load
→ CONSUMER PARALLELISM → each partition consumed by one consumer in a group →
more partitions = more parallel consumers = higher throughput
→ scale a topic by adding partitions (and consumers)
→ partitions are the unit of PARALLELISM and horizontal scaling in Kafka
