Ask any question about JavaScript here... and get an instant response.
Post this Question & Answer:
How do you handle caching and pagination differently when consuming REST vs GraphQL APIs in a JavaScript app?
Asked on Jan 08, 2026
Answer
When consuming REST and GraphQL APIs in a JavaScript app, caching and pagination are handled differently due to their distinct architectures. REST typically uses endpoint-based caching, while GraphQL requires more granular caching strategies. Pagination in REST often uses page numbers, whereas GraphQL can use cursors.
// REST API Caching Example
fetch('https://api.example.com/items?page=1', {
method: 'GET',
headers: {
'Cache-Control': 'max-age=3600' // Cache for 1 hour
}
})
.then(response => response.json())
.then(data => console.log(data));
// GraphQL API Caching Example
const query = `
query GetItems($cursor: String) {
items(after: $cursor) {
edges {
node {
id
name
}
}
pageInfo {
endCursor
hasNextPage
}
}
}
`;
fetch('https://api.example.com/graphql', {
method: 'POST',
headers: {
'Content-Type': 'application/json'
},
body: JSON.stringify({ query, variables: { cursor: null } })
})
.then(response => response.json())
.then(data => console.log(data));Additional Comment:
✅ Answered with JavaScript best practices.- REST API caching often relies on HTTP headers like "Cache-Control" to manage caching at the endpoint level.
- GraphQL requires more sophisticated caching strategies, often at the client level, using libraries like Apollo Client or Relay.
- REST pagination typically uses query parameters like "page" or "limit".
- GraphQL pagination often uses cursor-based pagination, which is more flexible and efficient for large datasets.
- Consider using libraries like Apollo Client for GraphQL to handle caching and pagination automatically.
Recommended Links:
