| name | rtk-query-api |
| description | RTK Query createApi best practices |
RTK Query - createApi
Structure
- One API slice per base URL / data source — never two
createApi calls against the same backend
- Export generated hooks alongside the API
import { createApi, fetchBaseQuery } from "@reduxjs/toolkit/query/react";
import { EntityTags } from "./types";
export const myApi = createApi({
reducerPath: "myApi",
baseQuery: fetchBaseQuery({ baseUrl: "/api" }),
tagTypes: [EntityTags.Entity, EntityTags.Entities],
endpoints: (build) => ({
getEntity: build.query<Entity, string>({
query: (id) => `entities/${id}`,
providesTags: [EntityTags.Entity],
}),
}),
});
export const { useGetEntityQuery } = myApi;
Define tags as enums in state-manager/types.ts:
export enum EntityTags {
Entity = "Entity",
Entities = "Entities",
}
Splitting backend access from use case
In domain/api/, this is the default — not something you reach for once a second use case appears.
Always split reaching the backend from what you ask it for:
| Half | Owner | Contains |
|---|
| Reaching a backend | @shared/api-services — one dir per backend | Base URL, base query, retry, reducerPath, extraArgument contract |
| What you ask it for | @domain/api-<name> | Endpoints, wire schemas, transforms, cache tags, hooks |
Doing it upfront costs nothing and means the second use case is a one-line addition rather than a
migration. Two createApi calls against one backend would give you two store slices, two caches and
two middlewares for one service.
The shared half declares an empty api. The use-case half adds to it with
injectEndpoints
for endpoints and enhanceEndpoints({ addTagTypes }) for tags. Both mutate and return the same api
object, so one reducer, one middleware and one cache serve every use case.
There are no exceptions. If a backend's base query currently needs use-case knowledge — mock handlers
keyed by endpoint URL, endpoint-name lookups, response types from its own wire schemas — that is a
problem to fix in the base query, not a reason to keep a second createApi.
export const myServiceApi = createApi({
reducerPath: "myServiceApi",
baseQuery: myServiceBaseQuery,
tagTypes: [],
endpoints: () => ({}),
});
export const FIRST_USE_CASE_TAGS = ["Entity"] as const;
export const firstUseCaseApi = myServiceApi
.enhanceEndpoints({ addTagTypes: FIRST_USE_CASE_TAGS })
.injectEndpoints({
endpoints: build => ({
getEntity: build.query<Entity, string>({
query: id => `entities/${id}`,
providesTags: [...FIRST_USE_CASE_TAGS],
}),
}),
});
export const { useGetEntityQuery } = firstUseCaseApi;
- Cache tags belong to the use case, not the shared api.
injectEndpoints does not accept
tagTypes, which makes it tempting to declare every tag upfront in the shared file — don't.
enhanceEndpoints({ addTagTypes }) widens the tag union in place, so a tag stays next to the
endpoints that provide it and adding a use case never means editing a shared file.
- Register the service api; call endpoints on the use case. Only the injected reference is typed
with the endpoints —
injectEndpoints cannot retype the original.
- Injection is a module-level side effect. An endpoint exists only once its use-case module has
been evaluated as a value import; a type-only import will not trigger it. Never import an api from
@shared/api-services in order to call endpoints on it.
- A tag-less api has a narrower state type. The registered api declares no tags, so a helper typed
on an injected reference (whose use case added some) will not accept an app's
State. Type such
helpers on the service api.
overrideExisting defaults to false — injecting an endpoint name that already exists is
silently ignored unless you opt in.
Endpoints
- Use
build.query for GET requests
- Use
build.mutation for POST/PUT/DELETE
- Type both response and argument:
build.query<ResponseType, ArgType>
- Use
void for no arguments: build.query<Data[], void>
Caching & Tags
- Define tags as enums in
types.ts
- Use
providesTags on queries for cache invalidation
- Use
invalidatesTags on mutations to trigger refetch
- Use
keepUnusedDataFor for custom cache duration
endpoints: (build) => ({
getItems: build.query<Item[], void>({
query: () => "items",
providesTags: [ItemTags.Items],
keepUnusedDataFor: 60,
}),
addItem: build.mutation<Item, Partial<Item>>({
query: (body) => ({ url: "items", method: "POST", body }),
invalidatesTags: [ItemTags.Items],
}),
}),
Transform Responses
- Use
transformResponse to reshape API data
- Use
transformErrorResponse for custom error handling
getItems: build.query<Item[], void>({
query: () => "items",
transformResponse: (response: ApiResponse) => response.data.items,
}),
Error Handling
- Always catch errors in custom
baseQuery or queryFn
- Return
{ data } on success, { error } on failure
queryFn: async (arg) => {
try {
const data = await fetchData(arg);
return { data };
} catch (error) {
return { error: { status: "CUSTOM_ERROR", data: error } };
}
},
Registration
Register APIs in reducers/rtkQueryApi.ts, keyed by reducerPath. For a shared backend, register the
service api — its endpoints arrive via the use-case packages the view-models import. The registry
then reads as a list of the backends the app talks to:
const APIs = {
[myApi.reducerPath]: myApi,
[myServiceApi.reducerPath]: myServiceApi,
};
Two entries whose reducerPath resolves to the same string is a compile error
(TS1117: An object literal cannot have multiple properties with the same name), even for computed
properties — which is what catches an accidental double-registration of one backend.