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查找选项

基本选项

所有仓库和管理器的 .find* 方法接受一些特殊选项,您可以在不使用 QueryBuilder 的情况下使用这些选项查询所需的数据:

  • select - 指示必须选择主对象的哪些属性
userRepository.find({
select: {
firstName: true,
lastName: true,
},
})

将执行以下查询:

SELECT "firstName", "lastName" FROM "user"
  • relations - 需要与主实体一起加载的关系。也可以加载子关系(joinleftJoinAndSelect 的简写)
userRepository.find({
relations: {
profile: true,
photos: true,
videos: true,
},
})
userRepository.find({
relations: {
profile: true,
photos: true,
videos: {
videoAttributes: true,
},
},
})

将执行以下查询:

SELECT * FROM "user"
LEFT JOIN "profile" ON "profile"."id" = "user"."profileId"
LEFT JOIN "photos" ON "photos"."id" = "user"."photoId"
LEFT JOIN "videos" ON "videos"."id" = "user"."videoId"

SELECT * FROM "user"
LEFT JOIN "profile" ON "profile"."id" = "user"."profileId"
LEFT JOIN "photos" ON "photos"."id" = "user"."photoId"
LEFT JOIN "videos" ON "videos"."id" = "user"."videoId"
LEFT JOIN "video_attributes" ON "video_attributes"."id" = "videos"."video_attributesId"
  • where - 应该根据哪些简单条件查询实体。
userRepository.find({
where: {
firstName: "Timber",
lastName: "Saw",
},
})

将执行以下查询:

SELECT * FROM "user"
WHERE "firstName" = 'Timber' AND "lastName" = 'Saw'

从嵌入式实体的列进行查询时,应该按照定义它们的层次结构进行。示例:

userRepository.find({
relations: {
project: true,
},
where: {
project: {
name: "TypeORM",
initials: "TORM",
},
},
})

将执行以下查询:

SELECT * FROM "user"
LEFT JOIN "project" ON "project"."id" = "user"."projectId"
WHERE "project"."name" = 'TypeORM' AND "project"."initials" = 'TORM'

使用 OR 运算符进行查询:

userRepository.find({
where: [
{ firstName: "Timber", lastName: "Saw" },
{ firstName: "Stan", lastName: "Lee" },
],
})

将执行以下查询:

SELECT * FROM "user" WHERE ("firstName" = 'Timber' AND "lastName" = 'Saw') OR ("firstName" = 'Stan' AND "lastName" = 'Lee')
  • order - 选择顺序。
userRepository.find({
order: {
name: "ASC",
id: "DESC",
},
})

将执行以下查询:

SELECT * FROM "user"
ORDER BY "name" ASC, "id" DESC
  • withDeleted - 包括已使用 softDeletesoftRemove 软删除的实体,例如设置了 @DeleteDateColumn 列的实体。默认情况下,软删除的实体不包括在内。
userRepository.find({
withDeleted: true,
})

返回多个实体的 find* 方法(findfindByfindAndCountfindAndCountBy)还接受以下选项:

  • skip - 偏移(分页)从哪里获取实体。
userRepository.find({
skip: 5,
})
SELECT * FROM "user"
OFFSET 5
  • take - 限制(分页)- 应该获取的最大实体数量。
userRepository.find({
take: 10,
})

将执行以下查询:

SELECT * FROM "user"
LIMIT 10

** skiptake 应该一起使用

** 如果您正在使用带有 MSSQL 的 typeorm,并希望使用 takelimit,您需要使用 order,否则您将收到以下错误:'Invalid usage of the option NEXT in the FETCH statement.'

userRepository.find({
order: {
columnName: "ASC",
},
skip: 0,
take: 10,
})

将执行以下查询:

SELECT * FROM "user"
ORDER BY "columnName" ASC
LIMIT 10 OFFSET 0
  • cache - 启用或禁用查询结果缓存。有关更多信息和选项,请参阅 缓存
userRepository.find({
cache: true,
})
  • lock - 为查询启用锁定机制。只能在 findOnefindOneBy 方法中使用。 lock 是一个可以定义为:
{ mode: "optimistic", version: number | Date }

{
mode: "pessimistic_read" |
"pessimistic_write" |
"dirty_read" |
/*
"pessimistic_partial_write" and "pessimistic_write_or_fail" are deprecated and
will be removed in a future version.

Use onLocked instead.
*/
"pessimistic_partial_write" |
"pessimistic_write_or_fail" |
"for_no_key_update" |
"for_key_share",

tables: string[],
onLocked: "nowait" | "skip_locked"
}

例如:

userRepository.findOne({
where: {
id: 1,
},
lock: { mode: "optimistic", version: 1 },
})

有关更多信息,请参阅 锁定模式

查找选项的完整示例:

userRepository.find({
select: {
firstName: true,
lastName: true,
},
relations: {
profile: true,
photos: true,
videos: true,
},
where: {
firstName: "Timber",
lastName: "Saw",
profile: {
userName: "tshaw",
},
},
order: {
name: "ASC",
id: "DESC",
},
skip: 5,
take: 10,
cache: true,
})

无参数查找:

userRepository.find()

将执行以下查询:

SELECT * FROM "user"

高级选项

TypeORM 提供了许多内置运算符,可用于创建更复杂的比较:

  • Not
import { Not } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: Not("About #1"),
})

将执行以下查询:

SELECT * FROM "post" WHERE "title" != 'About #1'
  • LessThan
import { LessThan } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: LessThan(10),
})

将执行以下查询:

SELECT * FROM "post" WHERE "likes" < 10
  • LessThanOrEqual
import { LessThanOrEqual } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: LessThanOrEqual(10),
})

将执行以下查询:

SELECT * FROM "post" WHERE "likes" <= 10
  • MoreThan
import { MoreThan } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: MoreThan(10),
})

将执行以下查询:

SELECT * FROM "post" WHERE "likes" > 10
  • MoreThanOrEqual
import { MoreThanOrEqual } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: MoreThanOrEqual(10),
})

将执行以下查询:

SELECT * FROM "post" WHERE "likes" >= 10
  • Equal
import { Equal } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: Equal("About #2"),
})

将执行以下查询:

SELECT * FROM "post" WHERE "title" = 'About #2'
  • Like
import { Like } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: Like("%out #%"),
})

将执行以下查询:

SELECT * FROM "post" WHERE "title" LIKE '%out #%'
  • ILike
import { ILike } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: ILike("%out #%"),
})

将执行以下查询:

SELECT * FROM "post" WHERE "title" ILIKE '%out #%'
  • Between
import { Between } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: Between(1, 10),
})

将执行以下查询:

SELECT * FROM "post" WHERE "likes" BETWEEN 1 AND 10
  • In
import { In } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: In(["About #2", "About #3"]),
})

将执行以下查询:

SELECT * FROM "post" WHERE "title" IN ('About #2','About #3')
  • Any
import { Any } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: Any(["About #2", "About #3"]),
})

将执行以下查询(Postgres 符号):

```sql
SELECT * FROM "post" WHERE "title" = ANY(['About #2','About #3'])
  • IsNull
import { IsNull } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
title: IsNull(),
})

将执行以下查询:

SELECT * FROM "post" WHERE "title" IS NULL
  • ArrayContains
import { ArrayContains } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
categories: ArrayContains(["TypeScript"]),
})

将执行以下查询:

SELECT * FROM "post" WHERE "categories" @> '{TypeScript}'
  • ArrayContainedBy
import { ArrayContainedBy } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
categories: ArrayContainedBy(["TypeScript"]),
})

将执行以下查询:

SELECT * FROM "post" WHERE "categories" <@ '{TypeScript}'
  • ArrayOverlap
import { ArrayOverlap } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
categories: ArrayOverlap(["TypeScript"]),
})

将执行以下查询:

SELECT * FROM "post" WHERE "categories" && '{TypeScript}'
  • Raw
import { Raw } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: Raw("dislikes - 4"),
})

将执行以下查询:

SELECT * FROM "post" WHERE "likes" = "dislikes" - 4

在最简单的情况下,原始查询将直接插入等号后。但是,您还可以使用函数完全重写比较逻辑。

import { Raw } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
currentDate: Raw((alias) => `${alias} > NOW()`),
})

将执行以下查询:

SELECT * FROM "post" WHERE "currentDate" > NOW()

如果您需要提供用户输入,您不应将用户输入直接包含在查询中,因为这可能会产生 SQL 注入漏洞。相反,您可以使用 Raw 函数的第二个参数提供一个参数列表以绑定到查询。

import { Raw } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
currentDate: Raw((alias) => `${alias} > :date`, { date: "2020-10-06" }),
})

将执行以下查询:

SELECT * FROM "post" WHERE "currentDate" > '2020-10-06'

如果您需要提供的用户输入是数组,则可以使用特殊表达式语法将它们绑定为 SQL 语句中的值列表:

import { Raw } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findby({
title: Raw((alias) => `${alias} IN (:...titles)`, {
titles: [
"Go To Statement Considered Harmful",
"Structured Programming",
],
}),
})

将执行以下查询:

SELECT * FROM "post" WHERE "titles" IN ('Go To Statement Considered Harmful', 'Structured Programming')

组合高级选项

您还可以将这些运算符与 Not 运算符组合:

import { Not, MoreThan, Equal } from "typeorm"

const loadedPosts = await dataSource.getRepository(Post).findBy({
likes: Not(MoreThan(10)),
title: Not(Equal("About #2")),
})

将执行以下查询:

SELECT * FROM "post" WHERE NOT("likes" > 10) AND NOT("title" = 'About #2')