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* entc/gen: struct fields and methods for NamedEdge api * entc/gen: generate WithNamedEdge methods for named-edges * entc/gen: implement eager-loading for named-edges * entc/gen: simplify eager-loading template * entc/gen: drop support for unqiue edges in named-based loading * all: codegen * doc/website: named-edges feature-flag * Update doc/md/eager-load.mdx * Update doc/md/eager-load.mdx
193 lines
4.3 KiB
Plaintext
193 lines
4.3 KiB
Plaintext
---
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id: eager-load
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title: Eager Loading
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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## Overview
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`ent` supports querying entities with their associations (through their edges). The associated entities
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are populated to the `Edges` field in the returned object.
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Let's give an example of what the API looks like for the following schema:
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**Query all users with their pets:**
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```go
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users, err := client.User.
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Query().
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WithPets().
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All(ctx)
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if err != nil {
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return err
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}
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// The returned users look as follows:
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//
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// [
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// User {
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// ID: 1,
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// Name: "a8m",
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// Edges: {
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// Pets: [Pet(...), ...]
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// ...
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// }
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// },
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// ...
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// ]
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//
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for _, u := range users {
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for _, p := range u.Edges.Pets {
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fmt.Printf("User(%v) -> Pet(%v)\n", u.ID, p.ID)
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// Output:
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// User(...) -> Pet(...)
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}
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}
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```
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Eager loading allows to query more than one association (including nested), and also
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filter, sort or limit their result. For example:
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```go
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admins, err := client.User.
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Query().
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Where(user.Admin(true)).
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// Populate the `pets` that associated with the `admins`.
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WithPets().
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// Populate the first 5 `groups` that associated with the `admins`.
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WithGroups(func(q *ent.GroupQuery) {
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q.Limit(5) // Limit to 5.
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q.WithUsers() // Populate the `users` of each `groups`.
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}).
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All(ctx)
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if err != nil {
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return err
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}
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// The returned users look as follows:
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//
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// [
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// User {
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// ID: 1,
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// Name: "admin1",
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// Edges: {
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// Pets: [Pet(...), ...]
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// Groups: [
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// Group {
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// ID: 7,
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// Name: "GitHub",
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// Edges: {
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// Users: [User(...), ...]
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// ...
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// }
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// }
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// ]
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// }
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// },
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// ...
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// ]
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//
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for _, admin := range admins {
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for _, p := range admin.Edges.Pets {
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fmt.Printf("Admin(%v) -> Pet(%v)\n", u.ID, p.ID)
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// Output:
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// Admin(...) -> Pet(...)
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}
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for _, g := range admin.Edges.Groups {
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for _, u := range g.Edges.Users {
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fmt.Printf("Admin(%v) -> Group(%v) -> User(%v)\n", u.ID, g.ID, u.ID)
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// Output:
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// Admin(...) -> Group(...) -> User(...)
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}
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}
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}
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```
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## API
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Each query-builder has a list of methods in the form of `With<E>(...func(<N>Query))` for each of its edges.
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`<E>` stands for the edge name (like, `WithGroups`) and `<N>` for the edge type (like, `GroupQuery`).
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Note that only SQL dialects support this feature.
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## Named Edges
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In some cases there is a need for preloading edges with custom names. For example, a GraphQL query that has two aliases
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referencing the same edge with different arguments. For this situation, Ent provides another API named `WithNamed<E>`
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that can be enabled using the [`namedges`](features.md#named-edges) feature-flag and seamlessly integrated with
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[EntGQL Fields Collection](tutorial-todo-gql-field-collection.md).
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<Tabs
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defaultValue="ent"
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values={[
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{label: 'Ent', value: 'ent'},
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{label: 'GraphQL', value: 'graphql'},
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]}>
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<TabItem value="ent">
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See the GraphQL tab to learn more about the motivation behind this API.
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```go
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posts, err := client.Post.Query().
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WithNamedComments("published", func(q *ent.CommentQuery) {
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q.Where(comment.StatusEQ(comment.StatusPublished))
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})
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WithNamedComments("draft", func(q *ent.CommentQuery) {
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q.Where(comment.StatusEQ(comment.StatusDraft))
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}).
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Paginate(...)
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// Get the preloaded edges by their name:
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for _, p := range posts {
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published, err := p.Edges.NamedComments("published")
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if err != nil {
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return err
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}
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draft, err := p.Edges.NamedComments("draft")
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if err != nil {
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return err
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}
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}
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```
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</TabItem>
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<TabItem value="graphql">
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An example of a GraphQL query that has two aliases referencing the same edge with different arguments.
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```graphql
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query {
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posts {
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id
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title
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published: comments(where: { status: PUBLISHED }) {
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edges {
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node {
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text
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}
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}
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}
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draft: comments(where: { status: DRAFT }) {
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edges {
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node {
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text
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}
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}
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}
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}
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}
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```
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</TabItem>
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</Tabs>
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## Implementation
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Since an Ent query can eager-load more than one edge, it is not possible to load all associations in a single
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`JOIN` operation. Therefore, Ent executes additional query to load each association. This expected to be optimized
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in future versions.
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