Tree Entities
TypeORM supports the Adjacency list and Closure table patterns for storing tree structures. To learn more about hierarchy table take a look at this awesome presentation by Bill Karwin.
Adjacency list is a simple model with self-referencing. The benefit of this approach is simplicity, drawback is that you can't load big trees in all at once because of join limitations. To learn more about the benefits and use of Adjacency Lists look at this article by Matthew Schinckel. Example:
import {
Entity,
Column,
PrimaryGeneratedColumn,
ManyToOne,
OneToMany,
} from "typeorm"
@Entity()
export class Category {
@PrimaryGeneratedColumn()
id: number
@Column()
name: string
@Column()
description: string
@ManyToOne((type) => Category, (category) => category.children)
parent: Category
@OneToMany((type) => Category, (category) => category.parent)
children: Category[]
}
Nested set is another pattern of storing tree structures in the database. Its very efficient for reads, but bad for writes. You cannot have multiple roots in nested set. Example:
import {
Entity,
Tree,
Column,
PrimaryGeneratedColumn,
TreeChildren,
TreeParent,
TreeLevelColumn,
} from "typeorm"
@Entity()
@Tree("nested-set")
export class Category {
@PrimaryGeneratedColumn()
id: number
@Column()
name: string
@TreeChildren()
children: Category[]
@TreeParent()
parent: Category
}
Materialized Path (also called Path Enumeration) is another pattern of storing tree structures in the database. Its simple and effective. Example:
import {
Entity,
Tree,
Column,
PrimaryGeneratedColumn,
TreeChildren,
TreeParent,
TreeLevelColumn,
} from "typeorm"
@Entity()
@Tree("materialized-path")
export class Category {
@PrimaryGeneratedColumn()
id: number
@Column()
name: string
@TreeChildren()
children: Category[]
@TreeParent()
parent: Category
}
Closure table stores relations between parent and child in a separate table in a special way. It's efficient in both reads and writes. Example:
import {
Entity,
Tree,
Column,
PrimaryGeneratedColumn,
TreeChildren,
TreeParent,
TreeLevelColumn,
} from "typeorm"
@Entity()
@Tree("closure-table")
export class Category {
@PrimaryGeneratedColumn()
id: number
@Column()
name: string
@TreeChildren()
children: Category[]
@TreeParent()
parent: Category
}
You can specify closure table name and / or closure table columns names by setting optional parameter
options into @Tree("closure-table", options). ancestorColumnName and descandantColumnName are callback functions, which receive primary column's metadata and return column's name.@Tree("closure-table", {
closureTableName: "category_closure",
ancestorColumnName: (column) => "ancestor_" + column.propertyName,
descendantColumnName: (column) => "descendant_" + column.propertyName,
})
To bind tree entities to each other, it is required to set the parent in the child entity and then save them. for example:
const a1 = new Category()
a1.name = "a1"
await dataSource.manager.save(a1)
const a11 = new Category()
a11.name = "a11"
a11.parent = a1
await dataSource.manager.save(a11)
const a12 = new Category()
a12.name = "a12"
a12.parent = a1
await dataSource.manager.save(a12)
const a111 = new Category()
a111.name = "a111"
a111.parent = a11
await dataSource.manager.save(a111)
const a112 = new Category()
a112.name = "a112"
a112.parent = a11
await dataSource.manager.save(a112)
To load such a tree use
TreeRepository:const trees = await dataSource.manager.getTreeRepository(Category).findTrees()
trees will be following:[
{
"id": 1,
"name": "a1",
"children": [
{
"id": 2,
"name": "a11",
"children": [
{
"id": 4,
"name": "a111"
},
{
"id": 5,
"name": "a112"
}
]
},
{
"id": 3,
"name": "a12"
}
]
}
]
There are other special methods to work with tree entities through
TreeRepository:findTrees- Returns all trees in the database with all their children, children of children, etc.
const treeCategories = await dataSource.manager.getTreeRepository(Category).findTrees()
// returns root categories with sub categories inside
const treeCategoriesWithLimitedDepth = await dataSource.manager.getTreeRepository(Category).findTrees({ depth: 2 })
// returns root categories with sub categories inside, up to depth 2
findRoots- Roots are entities that have no ancestors. Finds them all. Does not load children leafs.
const rootCategories = await dataSource.manager.getTreeRepository(Category).findRoots()
// returns root categories without sub categories inside
findDescendants- Gets all children (descendants) of the given entity. Returns them all in a flat array.
const children = await dataSource.manager.getTreeRepository(Category).findDescendants(parentCategory)
// returns all direct subcategories (without its nested categories) of a parentCategory
findDescendantsTree- Gets all children (descendants) of the given entity. Returns them in a tree - nested into each other.
const childrenTree = await repository.findDescendantsTree(parentCategory)
// returns all direct subcategories (with its nested categories) of a parentCategory
const childrenTreeWithLimitedDepth = await repository.findDescendantsTree(
parentCategory,
{ depth: 2 },
)
// returns all direct subcategories (with its nested categories) of a parentCategory, up to depth 2
createDescendantsQueryBuilder- Creates a query builder used to get descendants of the entities in a tree.
const children = await repository
.createDescendantsQueryBuilder(
"category",
"categoryClosure",
parentCategory,
)
.andWhere("category.type = 'secondary'")
.getMany()
countDescendants- Gets number of descendants of the entity.
const childrenCount = await dataSource.manager.getTreeRepository(Category).countDescendants(parentCategory)
findAncestors- Gets all parent (ancestors) of the given entity. Returns them all in a flat array.
const parents = await repository.findAncestors(childCategory)
// returns all direct childCategory's parent categories (without "parent of parents")
findAncestorsTree- Gets all parent (ancestors) of the given entity. Returns them in a tree - nested into each other.
const parentsTree = await dataSource.manager.getTreeRepository(Category).findAncestorsTree(childCategory)
// returns all direct childCategory's parent categories (with "parent of parents")
createAncestorsQueryBuilder- Creates a query builder used to get ancestors of the entities in a tree.
const parents = await repository
.createAncestorsQueryBuilder("category", "categoryClosure", childCategory)
.andWhere("category.type = 'secondary'")
.getMany()
countAncestors- Gets the number of ancestors of the entity.
const parentsCount = await dataSource.manager.getTreeRepository(Category).countAncestors(childCategory)
For the following methods, options can be passed:
- findTrees
- findRoots
- findDescendants
- findDescendantsTree
- findAncestors
- findAncestorsTree
The following options are available:
relations- Indicates what relations of entity should be loaded (simplified left join form).
Examples:
const treeCategoriesWithRelations = await dataSource.manager.getTreeRepository(Category).findTrees({
relations: ["sites"],
})
// automatically joins the sites relation
const parentsWithRelations = await dataSource.manager.getTreeRepository(Category).findAncestors(childCategory, {
relations: ["members"],
})
// returns all direct childCategory's parent categories (without "parent of parents") and joins the 'members' relation
Last modified 4mo ago