This plugin provides tighter integration with prisma, making it easier to define prisma based object types, and helps solve n+1 queries for relations. It also has integrations for the relay plugin to make defining nodes and connections easy and efficient.
This plugin is NOT required to use prisma with Pothos, but does make things a lot easier and more efficient. See the Using Prisma without a plugin section below for more details.
Here is a quick example of what an API using this plugin might look like. There is a more thorough breakdown of what the methods and options used in the example below.
// Create an object type based on a prisma model
// without providing any custom type information
builder.prismaObject('User', {
fields: (t) => ({
// expose fields from the database
id: t.exposeID('id'),
email: t.exposeString('email'),
bio: t.string({
// automatically load the bio from the profile
// when this field is queried
select: {
profile: {
select: {
bio: true,
},
},
},
// user will be typed correctly to include the
// selected fields from above
resolve: (user) => user.profile.bio,
}),
// Load posts as list field.
posts: t.relation('posts', {
args: {
oldestFirst: t.arg.boolean(),
},
// Define custom query options that are applied when
// loading the post relation
query: (args, context) => ({
orderBy: {
createdAt: args.oldestFirst ? 'asc' : 'desc',
},
}),
}),
// creates relay connection that handles pagination
// using prisma's built in cursor based pagination
postsConnection: t.relatedConnection('posts', {
cursor: 'id',
}),
}),
});
// Create a relay node based a prisma model
builder.prismaNode('Post', {
id: { field: 'id' },
fields: (t) => ({
title: t.exposeString('title'),
author: t.relation('author'),
}),
});
builder.queryType({
fields: (t) => ({
// Define a field that issues an optimized prisma query
me: t.prismaField({
type: 'User',
resolve: async (query, root, args, ctx, info) =>
prisma.user.findUniqueOrThrow({
// the `query` argument will add in `include`s or `select`s to
// resolve as much of the request in a single query as possible
...query,
where: { id: ctx.userId },
}),
}),
}),
});
Given this schema, you would be able to resolve a query like the following with a single prisma query (which will still result in a few optimized SQL queries).
query {
me {
email
posts {
title
author {
id
}
}
}
}
A query like
query {
me {
email
posts {
title
author {
id
}
}
oldPosts: posts(oldestFirst: true) {
title
author {
id
}
}
}
}
Will result in 2 calls to prisma, one to resolve everything except oldPosts
, and a second to
resolve everything inside oldPosts
. Prisma can only resolve each relation once in a single query,
so we need a separate to handle the second posts
relation.
yarn add @pothos/plugin-prisma
This plugin requires a little more setup than other plugins because it integrates with the prisma to generate some types that help the plugin better understand your prisma schema. Previous versions of this plugin used to infer all required types from the prisma client itself, but this resulted in a poor dev experience because the complex types slowed down editors, and some more advanced use cases could not be typed correctly.
pothos
generator to your prisma schemagenerator pothos {
provider = "prisma-pothos-types"
}
Now the types Pothos uses will be generated whenever you re-generate your prisma client. Run the following command to re-generate the client and create the new types:
npx prisma generate
additional options:
clientOutput
: Where the generated code will import the PrismaClient from. The default is the
full path of wherever the client is generated. If you are checking in the generated file, using
@prisma/client
is a good option.output
: Where to write the generated typesExample with more options:
generator pothos {
provider = "prisma-pothos-types"
clientOutput = "@prisma/client"
output = "./pothos-types.ts"
}
import SchemaBuilder from '@pothos/core';
import { PrismaClient } from '@prisma/client';
import PrismaPlugin from '@pothos/plugin-prisma';
// This is the default location for the generator, but this can be
// customized as described above.
// Using a type only import will help avoid issues with undeclared
// exports in esm mode
import type PrismaTypes from '@pothos/plugin-prisma/generated';
const prisma = new PrismaClient({});
const builder = new SchemaBuilder<{
PrismaTypes: PrismaTypes;
}>({
plugins: [PrismaPlugin],
prisma: {
client: prisma,
// defaults to false, uses /// comments from prisma schema as descriptions
// for object types, relations and exposed fields.
// descriptions can be omitted by setting description to false
exposeDescriptions: boolean | { models: boolean, fields: boolean },
// use where clause from prismaRelatedConnection for totalCount (will true by default in next major version)
filterConnectionTotalCount: true,
},
});
It is strongly recommended NOT to put your prisma client into Context
. This will result in slower
type-checking and a laggy developer experience in VSCode. See
this issue for more details.
You can also load or create the prisma client dynamically for each request. This can be used to periodically re-create clients or create read-only clients for certain types of users.
import SchemaBuilder from '@pothos/core';
import { PrismaClient, Prisma } from '@prisma/client';
import PrismaPlugin from '@pothos/plugin-prisma';
import type PrismaTypes from '@pothos/plugin-prisma/generated';
const prisma = new PrismaClient({});
const readOnlyPrisma = new PrismaClient({
datasources: {
db: {
url: process.env.READ_ONLY_REPLICA_URL,
},
},
});
const builder = new SchemaBuilder<{
Context: { user: { isAdmin: boolean } };
PrismaTypes: PrismaTypes;
}>({
plugins: [PrismaPlugin],
prisma: {
client: (ctx) => (ctx.user.isAdmin ? prisma : readOnlyPrisma),
// Because the prisma client is loaded dynamically, we need to explicitly provide the some information about the prisma schema
dmmf: Prisma.dmmf,
// use where clause from prismaRelatedConnection for totalCount (will true by default in next major version)
filterConnectionTotalCount: true,
},
});
builder.prismaObject
builder.prismaObject
takes 2 arguments:
name
: The name of the prisma model this new type representsoptions
: options for the type being created, this is very similar to the options for any other
object typebuilder.prismaObject('User', {
// Optional name for the object, defaults to the name of the prisma model
name: 'PostAuthor',
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
}),
});
builder.prismaObject('Post', {
fields: (t) => ({
id: t.exposeID('id'),
title: t.exposeString('title'),
}),
});
So far, this is just creating some simple object types. They work just like any other object type in Pothos. The main advantage of this is that we get the type information without using object refs, or needing imports from prisma client.
There is a new t.prismaField
method which can be used to define fields that resolve to your prisma
types:
builder.queryType({
fields: (t) => ({
me: t.prismaField({
type: 'User',
resolve: async (query, root, args, ctx, info) =>
prisma.user.findUniqueOrThrow({
...query,
where: { id: ctx.userId },
}),
}),
}),
});
This method works just like th normal t.field
method with a couple of differences:
type
option must contain the name of the prisma model (eg. User
or [User]
for a list
field).resolve
function has a new first argument query
which should be spread into query prisma
query. This will be used to load data for nested relationships.You do not need to use this method, and the builder.prismaObject
method returns an object ref than
can be used like any other object ref (with t.field
), but using t.prismaField
will allow you to
take advantage of more efficient queries.
The query
object will contain an object with include
or select
options to pre-load data needed
to resolve nested parts of the current query. The included/selected fields are based on which fields
are being queried, and the options provided when defining those fields and types.
You can add fields for relations using the t.relation
method:
builder.queryType({
fields: (t) => ({
me: t.prismaField({
type: 'User',
resolve: async (query, root, args, ctx, info) =>
prisma.user.findUniqueOrThrow({
...query,
where: { id: ctx.userId },
}),
}),
}),
});
builder.prismaObject('User', {
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
posts: t.relation('posts'),
}),
});
builder.prismaObject('Post', {
fields: (t) => ({
id: t.exposeID('id'),
title: t.exposeString('title'),
author: t.relation('author'),
}),
});
t.relation
defines a field that can be pre-loaded by a parent resolver. This will create something
like { include: { author: true }}
that will be passed as part of the query
argument of a
prismaField
resolver. If the parent is another relation
field, the includes will become nested,
and the full relation chain will be passed to the prismaField
that started the chain.
For example the query:
query {
me {
posts {
author {
id
}
}
}
}
the me
prismaField
would receive something like the following as its query parameter:
{
include: {
posts: {
include: {
author: true;
}
}
}
}
This will work perfectly for the majority of queries. There are a number of edge cases that make it impossible to resolve everything in a single query. When this happens Pothos will automatically construct an additional query to ensure that everything is still loaded correctly, and split into as few efficient queries as possible. This process is described in more detail below
There are some cases where data can not be pre-loaded by a prisma field. In these cases, pothos will
issue a findUnique
query for the parent of any fields that were not pre-loaded, and select the
missing relations so those fields can be resolved with the correct data. These queries should be
very efficient, are batched by pothos to combine requirements for multiple fields into one query,
and batched by Prisma to combine multiple queries (in an n+1 situation) to a single sql query.
The following are some edge cases that could cause an additional query to be necessary:
t.prismaField
, or t.relation
prismaField
did not correctly spread the query
arguments in is prisma call.All of the above should be relatively uncommon in normal usage, but the plugin ensures that these types of edge cases are automatically handled when they do occur.
So far we have been describing very simple queries without any arguments, filtering, or sorting. For
t.prismaField
definitions, you can add arguments to your field like normal, and pass them into
your prisma query as needed. For t.relation
the flow is slightly different because we are not
making a prisma query directly. We do this by adding a query
option to our field options. Query
can either be a query object, or a method that returns a query object based on the field arguments.
builder.prismaObject('User', {
fields: (t) => ({
id: t.exposeID('id'),
posts: t.relation('posts', {
// We can define arguments like any other field
args: {
oldestFirst: t.arg.boolean(),
},
// Then we can generate our query conditions based on the arguments
query: (args, context) => ({
orderBy: {
createdAt: args.oldestFirst ? 'asc' : 'desc',
},
}),
}),
}),
});
The returned query object will be added to the include section of the query
argument that gets
passed into the first argument of the parent t.prismaField
, and can include things like where
,
skip
, take
, abd orderBy
. The query
function will be passed the arguments for the field, and
the context for the current request. Because it is used for pre-loading data, and solving n+1
issues, it can not be passed the parent
object because it may not be loaded yet.
builder.prismaObject('User', {
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
posts: t.relation('posts', {
// We can define arguments like any other field
args: {
oldestFirst: t.arg.boolean(),
},
// Then we can generate our query conditions based on the arguments
query: (args, context) => ({
orderBy: {
createdAt: args.oldestFirst ? 'asc' : 'desc',
},
}),
}),
}),
});
Prisma supports querying for
relation counts
which allow including counts for relations along side other includes
. Before prisma 4.2.0, this
does not support any filters on the counts, but can give a total count for a relation. Starting from
prisma 4.2.0, filters on relation count are available under the filteredRelationCount
preview
feature flag.
builder.prismaObject('User', {
fields: (t) => ({
id: t.exposeID('id'),
postCount: t.relationCount('posts', {
where: {
published: true,
},
}),
}),
});
In some cases, you may want to always pre-load certain relations. This can be helpful for defining fields directly on type where the underlying data may come from a related table.
builder.prismaObject('User', {
// This will always include the profile when a user object is loaded. Deeply nested relations can
// also be included this way.
include: {
profile: true,
},
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
bio: t.string({
// The profile relation will always be loaded, and user will now be typed to include the
// profile field so you can return the bio from the nested profile relation.
resolve: (user) => user.profile.bio,
}),
}),
});
By default, the prisma plugin will use include
when including relations, or generating fallback
queries. This means we are always loading all columns of a table when loading it in a
t.prismaField
or a t.relation
. This is usually what we want, but in some cases, you may want to
select specific columns instead. This can be useful if you have tables with either a very large
number of columns, or specific columns with large payloads you want to avoid loading.
To do this, you can add a select
instead of an include to your prismaObject
:
builder.prismaObject('User', {
select: {
id: true,
},
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
}),
});
The t.expose*
and t.relation
methods will all automatically add selections for the exposed
fields WHEN THEY ARE QUERIED, ensuring that only the requested columns will be loaded from the
database.
In addition to the t.expose
and t.relation
, you can also add custom selections to other fields:
builder.prismaObject('User', {
select: {
id: true,
},
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
bio: t.string({
// This will select user.profile.bio when the the `bio` field is queried
select: {
profile: {
select: {
bio: true,
},
},
},
resolve: (user) => user.profile.bio,
}),
}),
});
The following is a slightly contrived example, but shows how arguments can be used when creating a selection for a field:
const PostDraft = builder.prismaObject('Post', {
fields: (t) => ({
title: t.exposeString('title'),
commentFromDate: t.string({
args: {
date: t.arg({ type: 'Date', required: true }),
},
select: (args) => ({
comments: {
take: 1,
where: {
createdAt: {
gt: args.date,
},
},
},
}),
resolve: (post) => post.comments[0]?.content,
}),
}),
});
The normal builder.objectField(s)
methods can be used to extend prisma objects, but do not support
using selections, or exposing fields not in the default selection. To use these features, you can
use
builder.prismaObjectField
or builder.prismaObjectFields
instead.
The prisma plugin supports defining multiple GraphQL types based on the same prisma model.
Additional types are called variants
. You will always need to have a "Primary" variant (defined as
described above). Additional variants can be defined by providing a variant
option instead of a
name
option when creating the type:
const Viewer = builder.prismaObject('User', {
variant: 'Viewer',
fields: (t) => ({
id: t.exposeID('id'),
});
You can define variant fields that reference one variant from another:
const Viewer = builder.prismaObject('User', {
variant: 'Viewer',
fields: (t) => ({
id: t.exposeID('id'),
// Using the model name ('User') will reference the primary variant
user: t.variant('User'),
});
});
const User = builder.prismaNode('User', {
id: {
resolve: (user) => user.id,
},
fields: (t) => ({
// To reference another variant, use the returned object Ref instead of the model name:
viewer: t.variant(Viewer, {
// return null for viewer if the parent User is not the current user
isNull: (user, args, ctx) => user.id !== ctx.user.id,
}),
email: t.exposeString('email'),
}),
});
You can also use variants when defining relations by providing a type
option:
const PostDraft = builder.prismaNode('Post', {
variant: 'PostDraft'
// This set's what database field to use for the nodes id field
id: { field: 'id' },
// fields work just like they do for builder.prismaObject
fields: (t) => ({
title: t.exposeString('title'),
author: t.relation('author'),
}),
});
const Viewer = builder.prismaObject('User', {
variant: 'Viewer',
fields: (t) => ({
id: t.exposeID('id'),
drafts: t.relation('posts', {
// This will cause this relation to use the PostDraft variant rather than the default Post variant
type: PostDraft,
query: { where: { draft: true } },
}),
});
});
You may run into circular reference issues if you use 2 prisma object refs to reference each other.
To avoid this, you can split out the field definition for one of the relationships using
builder.prismaObjectField
const Viewer = builder.prismaObject('User', {
variant: 'Viewer',
fields: (t) => ({
id: t.exposeID('id'),
user: t.variant(User),
});
});
const User = builder.prismaNode('User', {
interfaces: [Named],
id: {
resolve: (user) => user.id,
},
fields: (t) => ({
email: t.exposeString('email'),
}),
});
// Viewer references the `User` ref in its field definiton,
// referencing the `User` in fields would cause a circular type issue
builder.prismaObjectField(Viewer, 'user', t.variant(User));
This same workaround applies when defining relations using variants.
By default, the nestedSelection
function will return selections based on the type of the current
field. nestedSelection
can also be used to get a selection from a field nested deeper inside other
fields. This is useful if the field returns a type that is not a prismaObject
, but a field nested
inside the returned type is.
const PostRef = builder.prismaObject('Post', {
fields: (t) => ({
title: t.exposeString('title'),
content: t.exposeString('content'),
author: t.relation('author'),
}),
});
const PostPreview = builder.objectRef<Post>('PostPreview').implement({
fields: (t) => ({
post: t.field({
type: PostRef,
resolve: (post) => post,
}),
preview: t.string({
nullable: true,
resolve: (post) => post.content?.slice(10),
}),
}),
});
builder.prismaObject('User', {
fields: (t) => ({
id: t.exposeID('id'),
postPreviews: t.field({
select: (args, ctx, nestedSelection) => ({
posts: nestedSelection(
{
// limit the number of postPreviews to load
take: 2,
},
// Look at the selections in postPreviews.post to determine what relations/fields to select
['post'],
),
}),
type: [PostPreview],
resolve: (user) => user.posts,
}),
}),
});
If you want to define a GraphQL field that directly exposes data from a nested relationship (many to
many relations using a custom join table is a common example of this) you can use the
nestedSelection
function passed to select
.
Given a prisma schema like the following:
model Post {
id Int @id @default(autoincrement())
title String
content String
media PostMedia[]
}
model Media {
id Int @id @default(autoincrement())
url String
posts PostMedia[]
uploadedBy User @relation(fields: [uploadedById], references: [id])
uploadedById Int
}
model PostMedia {
id Int @id @default(autoincrement())
post Post @relation(fields: [postId], references: [id])
media Media @relation(fields: [mediaId], references: [id])
postId Int
mediaId Int
}
You can define a media field that can pre-load the correct relations based on the graphql query:
const PostDraft = builder.prismaObject('Post', {
fields: (t) => ({
title: t.exposeString('title'),
media: t.field({
select: (args, ctx, nestedSelection) => ({
media: {
select: {
// This will look at what fields are queried on Media
// and automatically select uploadedBy if that relation is requested
media: nestedSelection(
// This arument is the default query for the media relation
// It could be something like: `{ select: { id: true } }` instead
true,
),
},
},
}),
type: [Media],
resolve: (post) => post.media.map(({ media }) => media),
}),
}),
});
const Media = builder.prismaObject('Media', {
select: {
id: true,
},
fields: (t) => ({
url: t.exposeString('url'),
uploadedBy: t.relation('uploadedBy'),
}),
});
t.prismaField
In some cases, it may be useful to get an optimized query for fields where you can't use
t.prismaField
.
This may be required for combining with other plugins, or because your query does not directly
return a PrismaObject
. In these cases, you can use the queryFromInfo
helper. An example of this
might be a mutation that wraps the prisma object in a result type.
const Post = builder.prismaObject('Post', {...});
builder.objectRef<{
success: boolean;
post?: Post
}>('CreatePostResult').implement({
fields: (t) => ({
success: t.boolean(),
post: t.field({
type: Post,
nullable:
resolve: (result) => result.post,
}),
}),
});
builder.mutationField(
'createPost',
{
args: (t) => ({
title: t.string({ required: true }),
...
}),
},
{
resolve: async (parent, args, context, info) => {
if (!validateCreatePostArgs(args)) {
return {
success: false,
}
}
const post = prisma.city.create({
...queryFromInfo({
context,
info,
// nested path where the selections for this type can be found
path: ['post']
// optionally you can pass a custom initial selection, genereally you wouldn't need this
// but if the field at `path` is not selected, the initial selection set may be empty
select: {
comments: true,
},
}),
data: {
title: args.input.title,
...
},
});
return {
success: true,
post,
}
},
},
);
This plugin has extensive integration with the relay plugin, which makes creating nodes and connections very easy.
prismaNode
The prismaNode
method works just like the prismaObject
method with a couple of small
differences:
id
option that mirrors the id
option from node
method of the relay plugin,
and must contain a resolve function that returns the id from an instance of the node. Rather than
defining a resolver for the id field, you can set the field
option to the name of a unique
column or index.builder.prismaNode('Post', {
// This set's what database field to use for the nodes id field
id: { field: 'id' },
// fields work just like they do for builder.prismaObject
fields: (t) => ({
title: t.exposeString('title'),
author: t.relation('author'),
}),
});
If you need to customize how ids are formatted, you can add a resolver for the id
, and provide a
findUnique
option that can be used to load the node by it's id. This is generally not necissary.
builder.prismaNode('Post', {
id: { resolve: (post) => String(post.id) },
// The return value will be passed as the `where` of a `prisma.post.findUnique`
findUnique: (id) => ({ id: Number.parseInt(id, 10) }),
fields: (t) => ({
title: t.exposeString('title'),
author: t.relation('author'),
}),
});
prismaConnection
The prismaConnection
method on a field builder can be used to create a relay connection
field
that also pre-loads all the data nested inside that connection.
builder.queryType({
fields: (t) => ({
posts: t.prismaConnection(
{
type: 'Post',
cursor: 'id',
resolve: (query, parent, args, context, info) => prisma.post.findMany({ ...query }),
}),
{}, // optional options for the Connection type
{}, // optional options for the Edge type),
),
}),
});
type
: the name of the prisma model being connected tocursor
: a @unique
column of the model being connected to. This is used as the cursor
option
passed to prisma.defaultSize
: (default: 20) The default page size to use if first
and last
are not provided.maxSize
: (default: 100) The maximum number of nodes returned for a connection.resolve
: Like the resolver for prismaField
, the first argument is a query
object that should
be spread into your prisma query. The resolve
function should return an array of nodes for the
connection. The query
will contain the correct take
, skip
, and cursor
options based on the
connection arguments (before
, after
, first
, last
), along with include
options for nested
selections.totalCount
: A function for loading the total count for the connection. This will add a
totalCount
field to the connection object. The totalCount
method will receive (connection
,
args
, context
, info
) as argumentsThe created connection queries currently support the following combinations of connection arguments:
first
, last
, or before
first
and before
last
and after
Queries for other combinations are not as useful, and generally requiring loading all records between 2 cursors, or between a cursor and the end of the set. Generating query options for these cases is more complex and likely very inefficient, so they will currently throw an Error indicating the argument combinations are not supported.
relatedConnection
The relatedConnection
method can be used to create a relay connection
field based on a relation
of the current model.
builder.prismaNode('User', {
id: { field: 'id' },
fields: (t) => ({
// Connections can be very simple to define
simplePosts: t.relatedConnection('posts', {
cursor: 'id',
}),
// Or they can include custom arguments, and other options
posts: t.relatedConnection(
'posts',
{
cursor: 'id',
args: {
oldestFirst: t.arg.boolean(),
},
query: (args, context) => ({
orderBy: {
createdAt: args.oldestFirst ? 'asc' : 'desc',
},
}),
},
{}, // optional options for the Connection type
{}, // optional options for the Edge type),
),
}),
});
cursor
: a @unique
column of the model being connected to. This is used as the cursor
option
passed to prisma.defaultSize
: (default: 20) The default page size to use if first
and last
are not provided.maxSize
: (default: 100) The maximum number of nodes returned for a connection.query
: A method that accepts the args
and context
for the connection field, and returns
filtering and sorting logic that will be merged into the query for the relation.totalCount
: when set to true, this will add a totalCount
field to the connection object. see
relationCount
above for more details.Creating connections from indirect relations is a little more involved, but can be acheived using
prismaConnectionHelpers
with a normal t.connection
field.
// Create a prisma object for the node type of your connection
const Media = builder.prismaObject('Media', {
select: {
id: true,
},
fields: (t) => ({
url: t.exposeString('url'),
}),
});
// Create connection helpers for the media type. This will allow you
// to use the normal t.connection with a prisma type
const mediaConnectionHelpers = prismaConnectionHelpers(
builder,
'PostMedia', // this should be the the join table
{
cursor: 'id',
select: (nodeSelection) => ({
// select the relation to the media node using the nodeSelection function
media: nodeSelection({
// optionally specify fields to select by default for the node
select: {
id: true,
posts: true,
},
}),
}),
// resolve the node from the edge
resolveNode: (postMedia) => postMedia.media,
// additional/optional options
maxSize: 100,
defaultSize: 20,
},
);
builder.prismaObjectField('Post', 'mediaConnection', (t) =>
t.connection({
// The type for the Node
type: Media,
// since we are not using t.relatedConnection we need to manually
// include the selections for our connection
select: (args, ctx, nestedSelection) => ({
media: mediaConnectionHelpers.getQuery(args, ctx, nestedSelection),
}),
resolve: (post, args, ctx) =>
// This helper takes a list of nodes and formats them for the connection
mediaConnectionHelpers.resolve(
// map results to the list of edges
post.media,
args,
ctx,
),
}),
);
The above example assumes that you are paginating a relation to a join table, where the pagination args are applied based on the relation to that join table, but the nodes themselves are nested deeper.
prismaConnectionHelpers
can also be used to manually create a connection where the edge and
connections share the same model, and pagination happens directly on a relation to nodes type (even
if that relation is nested).
const commentConnectionHelpers = prismaConnectionHelpers(builder, 'Comment', {
cursor: 'id',
});
const SelectPost = builder.prismaObject('Post', {
fields: (t) => ({
title: t.exposeString('title'),
comments: t.connection({
type: commentConnectionHelpers.ref,
select: (args, ctx, nestedSelection) => ({
comments: commentConnectionHelpers.getQuery(args, ctx, nestedSelection),
}),
resolve: (parent, args, ctx) => commentConnectionHelpers.resolve(parent.comments, args, ctx),
}),
}),
});
You can create reusable connection objects by using builder.connectionObject
.
These connection objects can be used with t.prismaConnection
, t.relatedConnection
, or
t.connection
Shared edges can also be created using t.edgeObject
const CommentConnection = builder.connectionObject({
type: Comment,
// or
type: commentConnectionHelpers.ref,
name: 'CommentConnection',
});
builder.prismaObject('Post', {
fields: (t) => ({
id: t.exposeID('id'),
...
commentsConnection: t.relatedConnection(
'comments',
{ cursor: 'id' },
// The connection object ref can be passed in place of the connection objectoptions
CommentConnection
),
}),
});
In some cases you may want to expose some data from an indirect connection on the edge object.
const mediaConnectionHelpers = prismaConnectionHelpers(builder, 'PostMedia', {
cursor: 'id',
select: (nodeSelection) => ({
// select the relation to the media node using the nodeSelection function
media: nodeSelection({}),
// Select additional fields from the join table
createdAt: true,
}),
// resolve the node from the edge
resolveNode: (postMedia) => postMedia.media,
});
builder.prismaObjectFields('Post', (t) => ({
manualMediaConnection: t.connection(
{
type: Media,
select: (args, ctx, nestedSelection) => ({
media: mediaConnectionHelpers.getQuery(args, ctx, nestedSelection),
select: {
media: nestedSelection({}, ['edges', 'node']),
},
}),
resolve: (post, args, ctx) =>
mediaConnectionHelpers.resolve(
post.media.map(({ media }) => media),
args,
ctx,
),
},
{},
// options for the edge object
{
// define the additional fields on the edge object
fields: (edge) => ({
createdAt: edge.field({
type: 'DateTime',
// the parent shape for edge fields is inferred from the connections resolve function
resolve: (media) => media.createdAt,
}),
}),
},
),
}));
parsePrismaCursor
and formatPrismaCursor
These functions can be used to manually parse and format cursors that are compatible with prisma connections.
Parsing a cursor will return the value from the column used for the cursor (often the id
), this
value may be an array or object when a compound index is used as the cursor. Similarly, to format a
cursor, you must provide the column(s) that make up the cursor.
Using prisma without a plugin is relatively straight forward using the builder.objectRef
method.
The easiest way to create types backed by prisma looks something like:
import { Post, PrismaClient, User } from '@prisma/client';
const db = new PrismaClient();
const UserObject = builder.objectRef<User>('User');
const PostObject = builder.objectRef<Post>('Post');
UserObject.implement({
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
posts: t.field({
type: [PostObject],
resolve: (user) =>
db.post.findMany({
where: { authorId: user.id },
}),
}),
}),
});
PostObject.implement({
fields: (t) => ({
id: t.exposeID('id'),
title: t.exposeString('title'),
author: t.field({
type: UserObject,
resolve: (post) => db.user.findUniqueOrThrow({ where: { id: post.authorId } }),
}),
}),
});
builder.queryType({
fields: (t) => ({
me: t.field({
type: UserObject,
resolve: (root, args, ctx) => db.user.findUniqueOrThrow({ where: { id: ctx.userId } }),
}),
}),
});
This sets up User, and Post objects with a few fields, and a me
query that returns the current
user. There are a few things to note in this setup:
builder.objectRef
and the implement
calls, rather than calling
builder.objectRef(...).implement(...)
. This prevents typescript from getting tripped up by the
circular references between posts and users.findUniqueOrThrow
because those fields are not nullable. Using findUnique
, prisma will
return a null if the object is not found. An alternative is to mark these fields as nullable.UserObject
and PostObject
, this is because User
and
Post
are the names of the types imported from prisma. We could instead alias the types when we
import them so we can name the refs to our GraphQL types after the models.This setup is fairly simple, but it is easy to see the n+1 issues we might run into. Prisma helps with this by batching queries together, but there are also things we can do in our implementation to improve things.
One thing we could do if we know we will usually be loading the author any time we load a post is to make the author part of shape required for a post:
const UserObject = builder.objectRef<User>('User');
// We add the author here in the objectRef
const PostObject = builder.objectRef<Post & { author: User }>('Post');
UserObject.implement({
fields: (t) => ({
id: t.exposeID('id'),
email: t.exposeString('email'),
posts: t.field({
type: [PostObject],
resolve: (user) =>
db.post.findMany({
// We now need to include the author when we query for posts
include: {
author: true,
},
where: { authorId: user.id },
}),
}),
}),
});
PostObject.implement({
fields: (t) => ({
id: t.exposeID('id'),
title: t.exposeString('title'),
author: t.field({
type: UserObject,
// Now we can just return the author from the post instead of querying for it
resolve: (post) => post.author,
}),
}),
});
We may not always want to query for the author though, so we could make the author optional and fall back to using a query if it was not provided by the parent resolver:
const PostObject = builder.objectRef<Post & { author?: User }>('Post');
PostObject.implement({
fields: (t) => ({
id: t.exposeID('id'),
title: t.exposeString('title'),
author: t.field({
type: UserObject,
resolve: (post) =>
post.author ?? db.user.findUnique({ rejectOnNotFound: true, where: { id: post.authorId } }),
}),
}),
});
With this setup, a parent resolver has the option to include the author, but we have a fallback incase it does not.
There are other patterns like data loaders than can be used to reduce n+1 issues, and make your graph more efficient, but they are too complex to describe here.