关联查询
Article 实体类
// 文件位置: /src/entities/article.entity.ts
import { Column, Entity, PrimaryColumn } from "typeorm";
@Entity('article')
export class Article {
@PrimaryColumn()
id: string;
@Column()
title: string;
@Column()
link: string;
@Column()
fileId: string;
@Column('text')
content: string;
@Column()
categoryId: string;
@Column()
formatId: number;
@Column()
originId: number;
@Column()
createBy: string;
}
User 实体类
// 文件位置: /src/entities/user.entity.ts
import { Column, Entity, PrimaryColumn } from "typeorm";
@Entity('user')
export class User {
@PrimaryColumn()
id: string;
@Column()
nickname: string;
@Column()
username: string;
@Column()
password: string;
@Column()
avator: string;
@Column()
email: string;
}
表关联关系: article.createBy === user.id
ArticleService 服务代码
import { Injectable } from "@nestjs/common";
import { InjectRepository } from "@nestjs/typeorm";
import { Article } from "src/entities/article.entity";
import { User } from "src/entities/user.entity";
import { Repository } from "typeorm";
@Injectable()
export class ArticleService {
@InjectRepository(Article)
private readonly articleRespository: Repository<Article>;
getAllUsers () {
return this.articleRespository.createQueryBuilder()
.leftJoinAndSelect(User, 'user', 'user.id = article.createBy')
// .select(`
// article.id as id,
// article.title as title,
// article.content as content,
// user.id as userId,
// user.nickname as nickname,
// user.username as usernmae,
// user.avator as avator
// `)
.getRawMany();
}
}
// 对应生成的sql:
/*
SELECT
`Article`.`id` AS `Article_id`,
`Article`.`title` AS `Article_title`,
`Article`.`link` AS `Article_link`,
`Article`.`fileId` AS `Article_fileId`,
`Article`.`content` AS `Article_content`,
`Article`.`categoryId` AS `Article_categoryId`,
`Article`.`formatId` AS `Article_formatId`,
`Article`.`originId` AS `Article_originId`,
`Article`.`createBy` AS `Article_createBy`,
`user`.`id` AS `user_id`,
`user`.`nickname` AS `user_nickname`,
`user`.`username` AS `user_username`,
`user`.`password` AS `user_password`,
`user`.`avator` AS `user_avator`,
`user`.`email` AS `user_email`
FROM
`article` `Article`
LEFT JOIN `user` `user` ON `user`.`id` = article.createBy
*/
// 返回结果:
[
{
"Article_id": "0fcb8310-9c4a-11ea-9427-017d0539b705",
"Article_title": "fe'f",
"Article_link": null,
"Article_fileId": null,
"Article_content": "<p>微任务</p>",
"Article_categoryId": "4b958080-9a33-11ea-9abc-1d8c64f552b3",
"Article_formatId": 2,
"Article_originId": 1,
"Article_createBy": "16ffe4f0-98d0-11ea-adcb-cd4aa44d4464",
"user_id": "16ffe4f0-98d0-11ea-adcb-cd4aa44d4464",
"user_nickname": "李云龙",
"user_username": "wanghailong",
"user_password": "1bbd886460827015e5d605ed44252251",
"user_avator": "http://192.168.1.101:8765/avator/f360e610-9d80-11ea-9008-019523360f5b.jpg",
"user_email": "5xx1xx733@test.com"
}
]
// 放开上面注掉的 "select" 代码
// 对应生成的sql:
/*
SELECT
article.id as id,
article.title as title,
article.content as content,
`user`.`id` as userId,
`user`.`nickname` as nickname,
`user`.`username` as usernmae,
`user`.`avator` as avator
FROM `article` `Article` LEFT JOIN `user` `user` ON `user`.`id` = article.createBy
*/
// 进行查询,可以得出如下的查询结果:
[
{
"id": "0fcb8310-9c4a-11ea-9427-017d0539b705",
"title": "fe'f",
"content": "<p>微任务</p>",
"userId": "16ffe4f0-98d0-11ea-adcb-cd4aa44d4464",
"nickname": "李云龙",
"usernmae": "wanghailong",
"avator": "http://192.168.1.101:8765/avator/f360e610-9d80-11ea-9008-019523360f5b.jpg"
}
]
结论:
- typeorm 有一套默认生成查询列的方式,其生成出来的查询列的格式是:"表名_列名"
- typeorm 生成的列是根据实体类中定义的字段进行生成的,也就是实体类中有多少个字段就生成多少个查询列
- 默认的生成列的方式可以通过 .select() 方法进行重置,并且同时根据自定义的查询列只返回我们想要的列,同时还能重命名列
相关方法说明
- createQueryBuilder() 方法的调用可以传递一个实体类名称,如果是通过 Respository 的子类调用的,那么就可以不传递实体类名称
- leftJoinAndSelect() 方法有多个重载方法,第一个参数可以是一个实体类名称,还可以是一个实体类型
- getRawMany() 方法根据生成器的生成的 sql 进行查询并返回查询结果