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It combines all of the types and fields from your subgraph schemas, plus some federation-specific directives that tell your gateway which subgraphs are responsible for resolving which fields. This schema is the result of performing composition on your collection of subgraph schemas. Each of your subgraphs has a distinct schema that indicates which types and fields of your composed supergraph it's responsible for resolving. Federated schemasДЄ federated graph uses multiple 'types' of GraphQL schemas:

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The result is the best of both worlds: an implementation that keeps all the code for a given feature in a single subgraph and separated from unrelated concerns, and a product-centric schema with rich types that reflects the natural way an application developer would want to consume the graph. The difference is that now, each subgraph defines the types and fields that it is capable of (and should be responsible for) populating from its back-end data store. The following schema uses Apollo Federation to divide the same set of types and fields across the same three subgraphs:

The team that manages product data can contain all product-related logic in a single subgraph that they own unilaterally.

The users subgraph might not even have access to the back-end data store that contains product data.

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The subgraph that defines the field is also the subgraph that knows how to populate the field.

Even though this field is a member of the User type, a list of Products should probably be populated by the products subgraph, not the users subgraph.Д«y defining the recentPurchases field in the products subgraph instead: Specifically, a particular feature (or concern) usually spans multiple types.Д¬onsider the recentPurchases field of the User type in the above schema.

For example, a users subgraph would define the entirety of a User type, the products subgraph would define a Product type, and so on:ДЄlthough this separation looks clean, it quickly causes issues.

When considering how to split a single GraphQL schema across multiple subgraphs, it seems straightforward to divide schemas up by type. This enables different teams to work on different products and features within a single graph, without interfering with each other. Separation of concernsДЄpollo Federation encourages a design principle called separation of concerns. In fact, clients have no way to distinguish between different graph implementations. In both of these cases, all of your clients will continue to work throughout your incremental migration. If you currently use a different federated architecture (such as schema stitching), you can add federation support to your existing services one at a time.If you currently use a monolithic GraphQL server, you can break its functionality out one service at a time.Like the rest of the Apollo platform, Apollo Federation can (and should) be

The following presentation by Mandi Wise further describes the architecture of Apollo Federation and walks through implementing a federated graph: Design principles Incremental adoption

A gateway that uses a supergraph schema (composed from all subgraph schemas) to execute queries across multiple subgraphsДЄpollo Server provides libraries for acting both as a subgraph and as a gateway, but these components can be implemented in any language and framework.ДЄpollo Federation does not currently support GraphQL subscription operations.

A collection of subgraphs (usually represented by different back-end services) that each define a distinct GraphQL schema.

ArchitectureДЄn Apollo Federation architecture consists of:

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Unlike other distributed GraphQL architectures (such as schema stitching), Apollo Federation uses a declarative programming model that enables each subgraph to implement only the part of your composed supergraph that it's responsible for.ДЄpollo Federation also supports a free managed mode with Apollo Studio, which enables you to add, remove, and refactor your subgraphs without requiring any downtime for your production graph.