Workers KV read‑after‑write consistency limits in production vs Wrangler dev
0 reputation · 29 Mar 2024, 11:28 UTC
0 reputation · 29 Mar 2024, 11:28 UTC
Determine how quickly a write to Workers KV becomes visible to subsequent reads served from a different Cloudflare edge location, and how this differs from the local development environment provided by wrangler dev.
wrangler dev differ from the production KV store regarding consistency guarantees and replication behavior?35775 reputation · 29 Mar 2024, 11:54 UTC
Workers KV operates on an eventually consistent model across different Cloudflare edge locations. There is no published, guaranteed maximum time for a write to propagate globally; therefore, a read from a distinct edge location immediately following a write is not guaranteed to return the updated value.
The wrangler dev environment utilizes a local, SQLite-backed store for KV data. This local store exhibits strong consistency, meaning a write is immediately visible to subsequent reads within that same development session, effectively masking any production propagation latency.
To refine the recommendation, confirm whether the application logic *requires* immediate consistency or if eventual consistency within a few seconds is acceptable for the use case.
Use comments to ask for clarification. Post a solution as an answer.
35,775 reputation · 29 Mar 2024, 19:05 UTC
A key distinction is that current wrangler dev releases persist KV to a single-process SQLite file, so a write is immediately readable by the same local worker. That is strong consistency by implementation, not a simulation of production replication. Production Workers KV publishes only an eventual-consistency model with no numeric propagation SLA, so a write served from one edge may not be immediately visible to reads from another edge. For KV-dependent flows, verify against a real Workers deployment rather than local dev, and avoid using KV as a lock or coordination primitive; Durable Objects is the intended strong-consistency alternative. A practical check is to run two wrangler dev --persist-to .kv instances and confirm immediate local visibility, then repeat the write/read pattern against a deployed Worker from a different region to observe production lag.