Data Fetching
Data Fetching Patterns
Reliable frontends treat the network as lossy and unpredictable. These patterns help you model server interaction, caching, and synchronization so UI stays trustworthy under stress.
Reliable frontends treat the network as lossy and unpredictable. These patterns help you model server interaction, caching, and synchronization so UI stays trustworthy under stress.
Specific, reusable techniques you can drop into production.
Clear or update cached data strategically when underlying information changes.
Chain API requests where subsequent calls depend on previous results.
Trigger data fetches as side effects when components mount or dependencies change.
Manage and display errors gracefully from failed API requests.
Request precisely the data needed using GraphQL's declarative query language.
Load more content automatically as users scroll to create seamless browsing experiences.
Show loading indicators while asynchronous operations are in progress.
Handle create, update, and delete operations with proper cache synchronization.
Update UI immediately with expected results before server confirmation for perceived speed.
Load large datasets in discrete pages to manage memory and network usage.
Execute multiple independent API calls simultaneously to reduce total load time.
Fetch data repeatedly at regular intervals to keep information current.
Load data before it's needed based on predicted user actions.
Store fetched data to avoid redundant network requests and improve performance.
Prevent duplicate network requests when multiple components simultaneously request the same data.
Abort in-flight requests when components unmount or dependencies change.
Transform nested API responses into flat, relational structures for efficient updates.
Re-attempt failed requests automatically with exponential backoff strategies.
Receive server-pushed updates over HTTP for one-way real-time data streams.
Show cached data immediately while fetching fresh data in the background.
Establish persistent connections for real-time bidirectional communication.
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