
Product
Socket for Jira Is Now Available
Socket for Jira lets teams turn alerts into Jira tickets with manual creation, automated ticketing rules, and two-way sync.
apollo-cache-control
Advanced tools
This package is used to collect and expose cache control data in the Apollo Cache Control format.
It relies on instrumenting a GraphQL schema to collect cache control hints, and exposes cache control data for an individual request under extensions as part of the GraphQL response.
This data can be consumed by any tool to inform caching and visualize the cache policies that are in effect for a particular request.
Uses for this data include apollo-server-plugin-response-cache (which implements a full response cache) and setting cache-control HTTP headers.
See https://www.apollographql.com/docs/apollo-server/performance/caching/ for more details.
Apollo Server includes built-in support for Apollo Cache Control from version 1.2.0 onwards.
The only code change required is to add tracing: true and cacheControl: true to the options passed to the Apollo Server middleware function for your framework of choice. For example, for Express:
app.use('/graphql', bodyParser.json(), graphqlExpress({
schema,
context: {},
tracing: true,
cacheControl: true
}));
If you are using
express-graphql, we recommend you switch to Apollo Server. Bothexpress-graphqland Apollo Server are based on thegraphql-jsreference implementation, and switching should only require changing a few lines of code.
Cache hints can be added to your schema using directives on your types and fields. When executing your query, these hints will be used to compute an overall cache policy for the response. Hints on fields override hints specified on the target type.
type Post @cacheControl(maxAge: 240) {
id: Int!
title: String
author: Author
votes: Int @cacheControl(maxAge: 30)
readByCurrentUser: Boolean! @cacheControl(scope: PRIVATE)
}
If you need to add cache hints dynamically, you can use a programmatic API from within your resolvers.
const resolvers = {
Query: {
post: (_, { id }, _, { cacheControl }) => {
cacheControl.setCacheHint({ maxAge: 60 });
return find(posts, { id });
}
}
}
If you're using TypeScript, you need the following:
import 'apollo-cache-control';
If set up correctly, for this query:
query {
post(id: 1) {
title
votes
readByCurrentUser
}
}
You should receive cache control data in the extensions field of your response:
"cacheControl": {
"version": 1,
"hints": [
{
"path": [
"post"
],
"maxAge": 240
},
{
"path": [
"post",
"votes"
],
"maxAge": 30
},
{
"path": [
"post",
"readByCurrentUser"
],
"scope": "PRIVATE"
}
]
}
The power of cache hints comes from being able to set them precisely to different values on different types and fields based on your understanding of your implementation's semantics. But when getting started with Apollo Cache Control, you might just want to apply the same maxAge to most of your resolvers. You can specify a default max age when you set up cacheControl in your server. This max age will be applied to all resolvers which don't explicitly set maxAge via schema hints (including schema hints on the type that they return) or the programmatic API. You can override this for a particular resolver or type by setting @cacheControl(maxAge: 0). For example, for Express:
app.use('/graphql', bodyParser.json(), graphqlExpress({
schema,
context: {},
tracing: true,
cacheControl: {
defaultMaxAge: 5,
},
}));
graphql-cache is a package that provides caching capabilities for GraphQL queries. It allows you to cache responses based on query and variables, and it integrates with various caching backends. Compared to apollo-cache-control, graphql-cache focuses more on the caching mechanism itself rather than providing fine-grained cache control hints.
dataloader is a generic utility for batching and caching data-fetching operations. While it is not specifically designed for GraphQL, it is commonly used in GraphQL servers to optimize data fetching. Unlike apollo-cache-control, which provides cache hints for responses, dataloader focuses on reducing redundant data fetching and improving performance through batching and caching.
FAQs
A GraphQL extension for cache control
The npm package apollo-cache-control receives a total of 197,210 weekly downloads. As such, apollo-cache-control popularity was classified as popular.
We found that apollo-cache-control demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Product
Socket for Jira lets teams turn alerts into Jira tickets with manual creation, automated ticketing rules, and two-way sync.

Company News
Socket won two 2026 Reppy Awards from RepVue, ranking in the top 5% of all sales orgs. AE Alexandra Lister shares what it's like to grow a sales career here.

Security News
NIST will stop enriching most CVEs under a new risk-based model, narrowing the NVD's scope as vulnerability submissions continue to surge.