# Find Options

# Basic options

All repository and manager .find* methods accept special options you can use to query data you need without using QueryBuilder:

  • select - indicates which properties of the main object must be selected
userRepository.find({
    select: {
        firstName: true,
        lastName: true,
    },
})
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will execute following query:

SELECT "firstName", "lastName" FROM "user"
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  • relations - relations needs to be loaded with the main entity. Sub-relations can also be loaded (shorthand for join and leftJoinAndSelect)
userRepository.find({
    relations: {
        profile: true,
        photos: true,
        videos: true,
    },
})
userRepository.find({
    relations: {
        profile: true,
        photos: true,
        videos: {
            videoAttributes: true,
        },
    },
})
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will execute following queries:

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"
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  • where - simple conditions by which entity should be queried.
userRepository.find({
    where: {
        firstName: "Timber",
        lastName: "Saw",
    },
})
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will execute following query:

SELECT * FROM "user"
WHERE "firstName" = 'Timber' AND "lastName" = 'Saw'
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Querying a column from an embedded entity should be done with respect to the hierarchy in which it was defined. Example:

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

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

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

SELECT * FROM "user" WHERE ("firstName" = 'Timber' AND "lastName" = 'Saw') OR ("firstName" = 'Stan' AND "lastName" = 'Lee')
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  • order - selection order.
userRepository.find({
    order: {
        name: "ASC",
        id: "DESC",
    },
})
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will execute following query:

SELECT * FROM "user"
ORDER BY "name" ASC, "id" DESC
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  • withDeleted - include entities which have been soft deleted with softDelete or softRemove, e.g. have their @DeleteDateColumn column set. By default, soft deleted entities are not included.
userRepository.find({
    withDeleted: true,
})
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find* methods which return multiple entities (find, findBy, findAndCount, findAndCountBy) also accept following options:

  • skip - offset (paginated) from where entities should be taken.
userRepository.find({
    skip: 5,
})
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SELECT * FROM "user"
OFFSET 5
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  • take - limit (paginated) - max number of entities that should be taken.
userRepository.find({
    take: 10,
})
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will execute following query:

SELECT * FROM "user"
LIMIT 10
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** skip and take should be used together

** If you are using typeorm with MSSQL, and want to use take or limit, you need to use order as well or you will receive the following error: 'Invalid usage of the option NEXT in the FETCH statement.'

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

SELECT * FROM "user"
ORDER BY "columnName" ASC
LIMIT 10 OFFSET 0
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  • cache - Enables or disables query result caching. See caching for more information and options.
userRepository.find({
    cache: true,
})
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  • lock - Enables locking mechanism for query. Can be used only in findOne and findOneBy methods. lock is an object which can be defined as:
{ mode: "optimistic", version: number | Date }
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or

{
    mode: "pessimistic_read" |
        "pessimistic_write" |
        "dirty_read" |
        "pessimistic_partial_write" |
        "pessimistic_write_or_fail" |
        "for_no_key_update" |
        "for_key_share"
}
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for example:

userRepository.findOne({
    where: {
        id: 1,
    },
    lock: { mode: "optimistic", version: 1 },
})
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Support of lock modes, and SQL statements they translate to, are listed in the table below (blank cell denotes unsupported). When specified lock mode is not supported, a LockNotSupportedOnGivenDriverError error will be thrown.

|                 | pessimistic_read         | pessimistic_write       | dirty_read    | pessimistic_partial_write   | pessimistic_write_or_fail   | for_no_key_update   | for_key_share |
| --------------- | --------------------     | ----------------------- | ------------- | --------------------------- | --------------------------- | ------------------- | ------------- |
| MySQL           | LOCK IN SHARE MODE       | FOR UPDATE              | (nothing)     | FOR UPDATE SKIP LOCKED      | FOR UPDATE NOWAIT           |                     |               |
| Postgres        | FOR SHARE                | FOR UPDATE              | (nothing)     | FOR UPDATE SKIP LOCKED      | FOR UPDATE NOWAIT           | FOR NO KEY UPDATE   | FOR KEY SHARE |
| Oracle          | FOR UPDATE               | FOR UPDATE              | (nothing)     |                             |                             |                     |               |
| SQL Server      | WITH (HOLDLOCK, ROWLOCK) | WITH (UPDLOCK, ROWLOCK) | WITH (NOLOCK) |                             |                             |                     |               |
| AuroraDataApi   | LOCK IN SHARE MODE       | FOR UPDATE              | (nothing)     |                             |                             |                     |               |
| CockroachDB     |                          | FOR UPDATE              | (nothing)     |                             | FOR UPDATE NOWAIT           | FOR NO KEY UPDATE   |               |

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Complete example of find options:

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,
})
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Find without arguments:

userRepository.find()
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will execute following query:

SELECT * FROM "user"
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# Advanced options

TypeORM provides a lot of built-in operators that can be used to create more complex comparisons:

  • Not
import { Not } from "typeorm"

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

SELECT * FROM "post" WHERE "likes" = "dislikes" - 4
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In the simplest case, a raw query is inserted immediately after the equal symbol. But you can also completely rewrite the comparison logic using the function.

import { Raw } from "typeorm"

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

SELECT * FROM "post" WHERE "currentDate" > NOW()
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If you need to provide user input, you should not include the user input directly in your query as this may create a SQL injection vulnerability. Instead, you can use the second argument of the Raw function to provide a list of parameters to bind to the query.

import { Raw } from "typeorm"

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

SELECT * FROM "post" WHERE "currentDate" > '2020-10-06'
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If you need to provide user input that is an array, you can bind them as a list of values in the SQL statement by using the special expression syntax:

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",
        ],
    }),
})
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will execute following query:

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

Also you can combine these operators with Not operator:

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

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

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