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This article examines high‑concurrency distributed consistency algorithms—explaining the CAP challenges, detailing Paxos, Raft, and ZAB’s core concepts, roles, and workflow, and discussing their practical applications and selection criteria for ensuring strong data consistency in critical systems.
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This article explains distributed data consistency concepts, the CAP theorem, various consistency levels, and provides detailed overviews of three major consensus algorithms—Paxos, ZAB, and Raft—including their mechanisms, roles, and practical applications such as in CB‑SQL.
This article explains the ZAB protocol—Zookeeper's atomic broadcast and crash‑recovery mechanism—detailing its design, message‑broadcast process, leader election, transaction ordering with ZXID, and how it ensures data consistency and availability in distributed systems.
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