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Reinventing Kafka on object storage (Interview)
The Changelog: Software Development, Open Source
Mastering Data Flow with Kafka's Topics and Partitions
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Kafka utilizes topics to connect producers and consumers, creating a centralized naming system for data streams. Each topic can be divided into partitions, enhancing scalability and managing data distribution effectively. Partitioning often employs a hashing mechanism based on message keys to ensure consistent data routing to specific brokers. Each broker is responsible for a set of partitions and simultaneously maintains replicas to safeguard data integrity. Producers write data to a broker, which is then replicated to other brokers, allowing consumers to access data from either the leader or its replicas, ensuring efficient coordination and retrieval within the Kafka ecosystem.
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