Eventual Consistency
Version 1.0.0 · Updated 2026-07-30
CORE DEFINITION
In distributed systems, to ensure high availability, data is allowed to be inconsistent for a short period, but it is guaranteed that after some time (Eventually), all nodes' data will become consistent.
SCAFFOLDING EFFECT
Reduce cognitive load
- Tolerate chaos: When implementing enterprise changes, do not pursue 'instant alignment of all members' (strong consistency), as that would halt business operations. Allow a period of chaos and asynchrony, as long as the direction is correct, alignment will eventually be achieved.
Anchor fast decisions
Consistency model in distributed systems: if writes cease and sufficient time is given, replicas will eventually converge to a consistent state. The mechanism is asynchronous replication plus conflict resolution.
MINIMUM ACTION
In progress 0/2Practice this model in one real situation:
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Source support: Explicit
- zh.wikipedia.orghttps://zh.wikipedia.org/wiki/%E6%9C%80%E7%BB%88%E4%B8%80%E8%87%B4%E6%80%A7verified
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