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This article explains the Chandy‑Lamport algorithm for capturing consistent global snapshots in distributed systems, describes its assumptions and message‑marker rules, walks through a detailed example with three processes and channels, and relates it to Apache Flink's asynchronous checkpoint mechanism.
Bilibili’s high‑performance distributed KV store combines hash and range partitioning, Raft‑based multi‑replica consistency, and a Metaserver‑managed topology of pools, zones, nodes, tables, shards and replicas, offering features such as partition splitting, binlog streaming, multi‑active replication, bulk loading, KV‑storage separation, and automated load, leader and health balancing for reliable, scalable data services.
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