19 KiB
Convex guidelines
These guidelines target Convex ^1.41.0.
Function guidelines
Http endpoint syntax
- HTTP endpoints are defined in
convex/http.tsand require anhttpActiondecorator. For example:
import { httpRouter } from "convex/server";
import { httpAction } from "./_generated/server";
const http = httpRouter();
http.route({
path: "/echo",
method: "POST",
handler: httpAction(async (ctx, req) => {
const body = await req.bytes();
return new Response(body, { status: 200 });
}),
});
- HTTP endpoints are always registered at the exact path you specify in the
pathfield. For example, if you specify/api/someRoute, the endpoint will be registered at/api/someRoute.
Validators
- Below is an example of an array validator:
import { mutation } from "./_generated/server";
import { v } from "convex/values";
export default mutation({
args: {
simpleArray: v.array(v.union(v.string(), v.number())),
},
handler: async (ctx, args) => {
//...
},
});
- Below is an example of a schema with validators that codify a discriminated union type:
import { defineSchema, defineTable } from "convex/server";
import { v } from "convex/values";
export default defineSchema({
results: defineTable(
v.union(
v.object({
kind: v.literal("error"),
errorMessage: v.string(),
}),
v.object({
kind: v.literal("success"),
value: v.number(),
}),
),
),
});
- Here are the valid Convex types along with their respective validators:
Convex Type TS/JS type Example Usage Validator for argument validation and schemas Notes Id string doc._idv.id(tableName)Null null nullv.null()JavaScript's undefinedis not a valid Convex value. Functions the returnundefinedor do not return will returnnullwhen called from a client. Usenullinstead.Int64 bigint 3nv.int64()Int64s only support BigInts between -2^63 and 2^63-1. Convex supports bigints in most modern browsers.Float64 number 3.1v.number()Convex supports all IEEE-754 double-precision floating point numbers (such as NaNs). Inf and NaN are JSON serialized as strings. Boolean boolean truev.boolean()String string "abc"v.string()Strings are stored as UTF-8 and must be valid Unicode sequences. Strings must be smaller than the 1MB total size limit when encoded as UTF-8. Bytes ArrayBuffer new ArrayBuffer(8)v.bytes()Convex supports first class bytestrings, passed in as ArrayBuffers. Bytestrings must be smaller than the 1MB total size limit for Convex types.Array Array [1, 3.2, "abc"]v.array(values)Arrays can have at most 8192 values. Object Object {a: "abc"}v.object({property: value})Convex only supports "plain old JavaScript objects" (objects that do not have a custom prototype). Objects can have at most 1024 entries. Field names must be nonempty and not start with "$" or "_". Record Record {"a": "1", "b": "2"}v.record(keys, values)Records are objects at runtime, but can have dynamic keys. Keys must be only ASCII characters, nonempty, and not start with "$" or "_".
Function registration
- Use
internalQuery,internalMutation, andinternalActionto register internal functions. These functions are private and aren't part of an app's API. They can only be called by other Convex functions. These functions are always imported from./_generated/server. - Use
query,mutation, andactionto register public functions. These functions are part of the public API and are exposed to the public Internet. Do NOT usequery,mutation, oractionto register sensitive internal functions that should be kept private. - You CANNOT register a function through the
apiorinternalobjects. - ALWAYS include argument validators for all Convex functions. This includes all of
query,internalQuery,mutation,internalMutation,action, andinternalAction.
Function calling
- Use
ctx.runQueryto call a query from a query, mutation, or action. - Use
ctx.runMutationto call a mutation from a mutation or action. - Use
ctx.runActionto call an action from an action. - ONLY call an action from another action if you need to cross runtimes (e.g. from V8 to Node). Otherwise, pull out the shared code into a helper async function and call that directly instead.
- Try to use as few calls from actions to queries and mutations as possible. Queries and mutations are transactions, so splitting logic up into multiple calls introduces the risk of race conditions.
- All of these calls take in a
FunctionReference. Do NOT try to pass the callee function directly into one of these calls. - When using
ctx.runQuery,ctx.runMutation, orctx.runActionto call a function in the same file, specify a type annotation on the return value to work around TypeScript circularity limitations. For example,
export const f = query({
args: { name: v.string() },
handler: async (ctx, args) => {
return "Hello " + args.name;
},
});
export const g = query({
args: {},
handler: async (ctx, args) => {
const result: string = await ctx.runQuery(api.example.f, { name: "Bob" });
return null;
},
});
Function references
- Use the
apiobject defined by the framework inconvex/_generated/api.tsto call public functions registered withquery,mutation, oraction. - Use the
internalobject defined by the framework inconvex/_generated/api.tsto call internal (or private) functions registered withinternalQuery,internalMutation, orinternalAction. - Convex uses file-based routing, so a public function defined in
convex/example.tsnamedfhas a function reference ofapi.example.f. - A private function defined in
convex/example.tsnamedghas a function reference ofinternal.example.g. - Functions can also registered within directories nested within the
convex/folder. For example, a public functionhdefined inconvex/messages/access.tshas a function reference ofapi.messages.access.h.
Pagination
- Define pagination using the following syntax:
import { v } from "convex/values";
import { query, mutation } from "./_generated/server";
import { paginationOptsValidator } from "convex/server";
export const listWithExtraArg = query({
args: { paginationOpts: paginationOptsValidator, author: v.string() },
handler: async (ctx, args) => {
return await ctx.db
.query("messages")
.withIndex("by_author", (q) => q.eq("author", args.author))
.order("desc")
.paginate(args.paginationOpts);
},
});
Note: paginationOpts is an object with the following properties:
numItems: the maximum number of documents to return (the validator isv.number())cursor: the cursor to use to fetch the next page of documents (the validator isv.union(v.string(), v.null()))- A query that ends in
.paginate()returns an object that has the following properties: - page (contains an array of documents that you fetches)
- isDone (a boolean that represents whether or not this is the last page of documents)
- continueCursor (a string that represents the cursor to use to fetch the next page of documents)
Schema guidelines
- Always define your schema in
convex/schema.ts. - Always import the schema definition functions from
convex/server. - System fields are automatically added to all documents and are prefixed with an underscore. The two system fields that are automatically added to all documents are
_creationTimewhich has the validatorv.number()and_idwhich has the validatorv.id(tableName). - Always include all index fields in the index name. For example, if an index is defined as
["field1", "field2"], the index name should be "by_field1_and_field2". - Index fields must be queried in the same order they are defined. If you want to be able to query by "field1" then "field2" and by "field2" then "field1", you must create separate indexes.
- Do not store unbounded lists as an array field inside a document (e.g.
v.array(v.object({...}))). As the array grows it will hit the 1MB document size limit, and every update rewrites the entire document. Instead, create a separate table for the child items with a foreign key back to the parent. - Separate high-churn operational data (e.g. heartbeats, online status, typing indicators) from stable profile data. Storing frequently updated fields on a shared document forces every write to contend with reads of the entire document. Instead, create a dedicated table for the high-churn data with a foreign key back to the parent record.
Authentication guidelines
- Convex supports JWT-based authentication through
convex/auth.config.ts. ALWAYS create this file when using authentication. Without it,ctx.auth.getUserIdentity()will always returnnull. - Example
convex/auth.config.ts:
export default {
providers: [
{
domain: "https://your-auth-provider.com",
applicationID: "convex",
},
],
};
The domain must be the issuer URL of the JWT provider. Convex fetches {domain}/.well-known/openid-configuration to discover the JWKS endpoint. The applicationID is checked against the JWT aud (audience) claim.
- Use
ctx.auth.getUserIdentity()to get the authenticated user's identity in any query, mutation, or action. This returnsnullif the user is not authenticated, or aUserIdentityobject with fields likesubject,issuer,name,email, etc. Thesubjectfield is the unique user identifier. - In Convex
UserIdentity,tokenIdentifieris guaranteed and is the canonical stable identifier for the authenticated identity. For any auth-linked database lookup or ownership check, preferidentity.tokenIdentifieroveridentity.subject. Do NOT useidentity.subjectalone as a global identity key. - NEVER accept a
userIdor any user identifier as a function argument for authorization purposes. Always derive the user identity server-side viactx.auth.getUserIdentity(). - When using an external auth provider with Convex on the client, use
ConvexProviderWithAuthinstead ofConvexProvider:
import { ConvexProviderWithAuth, ConvexReactClient } from "convex/react";
const convex = new ConvexReactClient(process.env.NEXT_PUBLIC_CONVEX_URL!);
function App({ children }: { children: React.ReactNode }) {
return (
<ConvexProviderWithAuth client={convex} useAuth={useYourAuthHook}>
{children}
</ConvexProviderWithAuth>
);
}
The useAuth prop must return { isLoading, isAuthenticated, fetchAccessToken }. Do NOT use plain ConvexProvider when authentication is needed — it will not send tokens with requests.
Typescript guidelines
- You can use the helper typescript type
Idimported from './_generated/dataModel' to get the type of the id for a given table. For example if there is a table called 'users' you can useId<'users'>to get the type of the id for that table. - Use
Doc<"tableName">from./_generated/dataModelto get the full document type for a table. - Use
QueryCtx,MutationCtx,ActionCtxfrom./_generated/serverfor typing function contexts. NEVER useanyfor ctx parameters — always use the proper context type. - If you need to define a
Recordmake sure that you correctly provide the type of the key and value in the type. For example a validatorv.record(v.id('users'), v.string())would have the typeRecord<Id<'users'>, string>. Below is an example of usingRecordwith anIdtype in a query:
import { query } from "./_generated/server";
import { Doc, Id } from "./_generated/dataModel";
export const exampleQuery = query({
args: { userIds: v.array(v.id("users")) },
handler: async (ctx, args) => {
const idToUsername: Record<Id<"users">, string> = {};
for (const userId of args.userIds) {
const user = await ctx.db.get("users", userId);
if (user) {
idToUsername[user._id] = user.username;
}
}
return idToUsername;
},
});
- Be strict with types, particularly around id's of documents. For example, if a function takes in an id for a document in the 'users' table, take in
Id<'users'>rather thanstring. - For typed app environment variables, declare them in
convex/convex.config.tswithdefineApp({ env: { MY_KEY: v.optional(v.string()) } })and read them withenvfrom./_generated/serverinstead ofprocess.env.
Full text search guidelines
- A query for "10 messages in channel '#general' that best match the query 'hello hi' in their body" would look like:
const messages = await ctx.db .query("messages") .withSearchIndex("search_body", (q) => q.search("body", "hello hi").eq("channel", "#general"), ) .take(10);
Query guidelines
- Do NOT use
filterin queries. Instead, define an index in the schema and usewithIndexinstead. - If the user does not explicitly tell you to return all results from a query you should ALWAYS return a bounded collection instead. So that is instead of using
.collect()you should use.take()or paginate on database queries. This prevents future performance issues when tables grow in an unbounded way. - Never use
.collect().lengthto count rows. Convex has no built-in count operator, so if you need a count that stays efficient at scale, maintain a denormalized counter in a separate document and update it in your mutations. - Convex queries do NOT support
.delete(). If you need to delete all documents matching a query, use.take(n)to read them in batches, iterate over each batch callingctx.db.delete("tasks", row._id), and repeat until no more results are returned. - Convex mutations are transactions with limits on the number of documents read and written. If a mutation needs to process more documents than fit in a single transaction (e.g. bulk deletion on a large table), process a batch with
.take(n)and then callctx.scheduler.runAfter(0, api.myModule.myMutation, args)to schedule itself to continue. This way each invocation stays within transaction limits. - Use
.unique()to get a single document from a query. This method will throw an error if there are multiple documents that match the query. - When using async iteration, don't use
.collect()or.take(n)on the result of a query. Instead, use thefor await (const row of query)syntax.
Ordering
- By default Convex always returns documents in ascending
_creationTimeorder. - You can use
.order('asc')or.order('desc')to pick whether a query is in ascending or descending order. If the order isn't specified, it defaults to ascending. - Document queries that use indexes will be ordered based on the columns in the index and can avoid slow table scans.
Mutation guidelines
- Use
ctx.db.replaceto fully replace an existing document. This method will throw an error if the document does not exist. Syntax:await ctx.db.replace("tasks", taskId, { name: "Buy milk", completed: false }) - Use
ctx.db.patchto shallow merge updates into an existing document. This method will throw an error if the document does not exist. Syntax:await ctx.db.patch("tasks", taskId, { completed: true })
Action guidelines
- Always add
"use node";to the top of files containing actions that use Node.js built-in modules. - Never add
"use node";to a file that also exports queries or mutations. Only actions can run in the Node.js runtime; queries and mutations must stay in the default Convex runtime. If you need Node.js built-ins alongside queries or mutations, put the action in a separate file. fetch()is available in the default Convex runtime. You do NOT need"use node";just to usefetch().- Never use
ctx.dbinside of an action. Actions don't have access to the database. - Below is an example of the syntax for an action:
import { action } from "./_generated/server";
export const exampleAction = action({
args: {},
handler: async (ctx, args) => {
console.log("This action does not return anything");
return null;
},
});
Scheduling guidelines
Cron guidelines
- Only use the
crons.intervalorcrons.cronmethods to schedule cron jobs. Do NOT use thecrons.hourly,crons.daily, orcrons.weeklyhelpers. - Both cron methods take in a FunctionReference. Do NOT try to pass the function directly into one of these methods.
- Define crons by declaring the top-level
cronsobject, calling some methods on it, and then exporting it as default. For example,
import { cronJobs } from "convex/server";
import { internal } from "./_generated/api";
import { internalAction } from "./_generated/server";
const empty = internalAction({
args: {},
handler: async (ctx, args) => {
console.log("empty");
},
});
const crons = cronJobs();
// Run `internal.crons.empty` every two hours.
crons.interval("delete inactive users", { hours: 2 }, internal.crons.empty, {});
export default crons;
- You can register Convex functions within
crons.tsjust like any other file. - If a cron calls an internal function, always import the
internalobject from '_generated/api', even if the internal function is registered in the same file.
Testing guidelines
- Use
convex-testwithvitestand@edge-runtime/vmto test Convex functions. Always install the latest versions of these packages. Configure vitest withenvironment: "edge-runtime"invitest.config.ts.
Test files go inside the convex/ directory. You must pass a module map from import.meta.glob to convexTest:
/// <reference types="vite/client" />
import { convexTest } from "convex-test";
import { expect, test } from "vitest";
import { api } from "./_generated/api";
import schema from "./schema";
const modules = import.meta.glob("./**/*.ts");
test("some behavior", async () => {
const t = convexTest(schema, modules);
await t.mutation(api.messages.send, { body: "Hi!", author: "Sarah" });
const messages = await t.query(api.messages.list);
expect(messages).toMatchObject([{ body: "Hi!", author: "Sarah" }]);
});
The modules argument is required so convex-test can discover and load function files. The /// <reference types="vite/client" /> directive is needed for TypeScript to recognize import.meta.glob.
File storage guidelines
- The
ctx.storage.getUrl()method returns a signed URL for a given file. It returnsnullif the file doesn't exist. - Do NOT use the deprecated
ctx.storage.getMetadatacall for loading a file's metadata.
Instead, query the _storage system table. For example, you can use ctx.db.system.get to get an Id<"_storage">.
import { query } from "./_generated/server";
import { Id } from "./_generated/dataModel";
type FileMetadata = {
_id: Id<"_storage">;
_creationTime: number;
contentType?: string;
sha256: string;
size: number;
}
export const exampleQuery = query({
args: { fileId: v.id("_storage") },
handler: async (ctx, args) => {
const metadata: FileMetadata | null = await ctx.db.system.get("_storage", args.fileId);
console.log(metadata);
return null;
},
});
- Convex storage stores items as
Blobobjects. You must convert all items to/from aBlobwhen using Convex storage.