Choosing Between Persisted Query Hashing and Dynamic Queries in Apollo Server
Decide between persisted query hashing and dynamic queries in Apollo Server to optimize for latency, security, and developer velocity.
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Decide between persisted query hashing and dynamic queries in Apollo Server to optimize for latency, security, and developer velocity.
LeetCode's problem list uses offset-based pagination, which can skip or repeat items when the list changes. Track a client-side cursor instead of trusting page numbers.
Use a cache update function with Apollo Client InMemoryCache to merge mutation results locally and avoid unnecessary refetches. Includes verification steps and limits.
Persisted queries replace full GraphQL documents with operation hashes, but automatic registration still sends the full text on first use. Verify your server's behavior before relying on it as an allow-list.
Learn how to set Apollo Client InMemoryCache field policies for offset/limit and cursor-based pagination so fetchMore merges pages correctly without duplicates.
Learn how Apollo’s persisted‑queries feature shrinks request size, hardens security, and what you need to keep in sync. A step‑by‑step guide, example config, and trade‑offs are included.
Gatsby's unified GraphQL layer shifts all data fetching to build time, turning heterogeneous content sources into a single compile-time validated schema. Here's how it works, where it strains, and a minimal example you can verify today.
Configure Apollo Client 3's InMemoryCache to merge paginated GraphQL pages instead of replacing them, with fetch-policy trade-offs and verification steps.
Send query hashes instead of full GraphQL documents on repeat requests to save bandwidth and improve cache hits.