- 1. API with NestJS #1. Controllers, routing and the module structure
- 2. API with NestJS #2. Setting up a PostgreSQL database with TypeORM
- 3. API with NestJS #3. Authenticating users with bcrypt, Passport, JWT, and cookies
- 4. API with NestJS #4. Error handling and data validation
- 5. API with NestJS #5. Serializing the response with interceptors
- 6. API with NestJS #6. Looking into dependency injection and modules
- 7. API with NestJS #7. Creating relationships with Postgres and TypeORM
- 8. API with NestJS #8. Writing unit tests
- 9. API with NestJS #9. Testing services and controllers with integration tests
- 10. API with NestJS #10. Uploading public files to Amazon S3
- 11. API with NestJS #11. Managing private files with Amazon S3
- 12. API with NestJS #12. Introduction to Elasticsearch
- 13. API with NestJS #13. Implementing refresh tokens using JWT
- 14. API with NestJS #14. Improving performance of our Postgres database with indexes
- 15. API with NestJS #15. Defining transactions with PostgreSQL and TypeORM
- 16. API with NestJS #16. Using the array data type with PostgreSQL and TypeORM
- 17. API with NestJS #17. Offset and keyset pagination with PostgreSQL and TypeORM
- 18. API with NestJS #18. Exploring the idea of microservices
- 19. API with NestJS #19. Using RabbitMQ to communicate with microservices
- 20. API with NestJS #20. Communicating with microservices using the gRPC framework
- 21. API with NestJS #21. An introduction to CQRS
- 22. API with NestJS #22. Storing JSON with PostgreSQL and TypeORM
- 23. API with NestJS #23. Implementing in-memory cache to increase the performance
- 24. API with NestJS #24. Cache with Redis. Running the app in a Node.js cluster
- 25. API with NestJS #25. Sending scheduled emails with cron and Nodemailer
- 26. API with NestJS #26. Real-time chat with WebSockets
- 27. API with NestJS #27. Introduction to GraphQL. Queries, mutations, and authentication
- 28. API with NestJS #28. Dealing in the N + 1 problem in GraphQL
- 29. API with NestJS #29. Real-time updates with GraphQL subscriptions
- 30. API with NestJS #30. Scalar types in GraphQL
- 31. API with NestJS #31. Two-factor authentication
- 32. API with NestJS #32. Introduction to Prisma with PostgreSQL
- 33. API with NestJS #33. Managing PostgreSQL relationships with Prisma
- 34. API with NestJS #34. Handling CPU-intensive tasks with queues
- 35. API with NestJS #35. Using server-side sessions instead of JSON Web Tokens
- 36. API with NestJS #36. Introduction to Stripe with React
- 37. API with NestJS #37. Using Stripe to save credit cards for future use
- 38. API with NestJS #38. Setting up recurring payments via subscriptions with Stripe
- 39. API with NestJS #39. Reacting to Stripe events with webhooks
- 40. API with NestJS #40. Confirming the email address
- 41. API with NestJS #41. Verifying phone numbers and sending SMS messages with Twilio
- 42. API with NestJS #42. Authenticating users with Google
- 43. API with NestJS #43. Introduction to MongoDB
- 44. API with NestJS #44. Implementing relationships with MongoDB
- 45. API with NestJS #45. Virtual properties with MongoDB and Mongoose
- 46. API with NestJS #46. Managing transactions with MongoDB and Mongoose
- 47. API with NestJS #47. Implementing pagination with MongoDB and Mongoose
- 48. API with NestJS #48. Definining indexes with MongoDB and Mongoose
- 49. API with NestJS #49. Updating with PUT and PATCH with MongoDB and Mongoose
- 50. API with NestJS #50. Introduction to logging with the built-in logger and TypeORM
- 51. API with NestJS #51. Health checks with Terminus and Datadog
- 52. API with NestJS #52. Generating documentation with Compodoc and JSDoc
- 53. API with NestJS #53. Implementing soft deletes with PostgreSQL and TypeORM
- 54. API with NestJS #54. Storing files inside a PostgreSQL database
- 55. API with NestJS #55. Uploading files to the server
- 56. API with NestJS #56. Authorization with roles and claims
- 57. API with NestJS #57. Composing classes with the mixin pattern
- 58. API with NestJS #58. Using ETag to implement cache and save bandwidth
- 59. API with NestJS #59. Introduction to a monorepo with Lerna and Yarn workspaces
- 60. API with NestJS #60. The OpenAPI specification and Swagger
- 61. API with NestJS #61. Dealing with circular dependencies
- 62. API with NestJS #62. Introduction to MikroORM with PostgreSQL
- 63. API with NestJS #63. Relationships with PostgreSQL and MikroORM
- 64. API with NestJS #64. Transactions with PostgreSQL and MikroORM
- 65. API with NestJS #65. Implementing soft deletes using MikroORM and filters
- 66. API with NestJS #66. Improving PostgreSQL performance with indexes using MikroORM
- 67. API with NestJS #67. Migrating to TypeORM 0.3
- 68. API with NestJS #68. Interacting with the application through REPL
- 69. API with NestJS #69. Database migrations with TypeORM
- 70. API with NestJS #70. Defining dynamic modules
- 71. API with NestJS #71. Introduction to feature flags
- 72. API with NestJS #72. Working with PostgreSQL using raw SQL queries
- 73. API with NestJS #73. One-to-one relationships with raw SQL queries
- 74. API with NestJS #74. Designing many-to-one relationships using raw SQL queries
- 75. API with NestJS #75. Many-to-many relationships using raw SQL queries
- 76. API with NestJS #76. Working with transactions using raw SQL queries
- 77. API with NestJS #77. Offset and keyset pagination with raw SQL queries
- 78. API with NestJS #78. Generating statistics using aggregate functions in raw SQL
- 79. API with NestJS #79. Implementing searching with pattern matching and raw SQL
- 80. API with NestJS #80. Updating entities with PUT and PATCH using raw SQL queries
- 81. API with NestJS #81. Soft deletes with raw SQL queries
- 82. API with NestJS #82. Introduction to indexes with raw SQL queries
- 83. API with NestJS #83. Text search with tsvector and raw SQL
- 84. API with NestJS #84. Implementing filtering using subqueries with raw SQL
- 85. API with NestJS #85. Defining constraints with raw SQL
- 86. API with NestJS #86. Logging with the built-in logger when using raw SQL
- 87. API with NestJS #87. Writing unit tests in a project with raw SQL
- 88. API with NestJS #88. Testing a project with raw SQL using integration tests
- 89. API with NestJS #89. Replacing Express with Fastify
- 90. API with NestJS #90. Using various types of SQL joins
- 91. API with NestJS #91. Dockerizing a NestJS API with Docker Compose
- 92. API with NestJS #92. Increasing the developer experience with Docker Compose
- 93. API with NestJS #93. Deploying a NestJS app with Amazon ECS and RDS
- 94. API with NestJS #94. Deploying multiple instances on AWS with a load balancer
- 95. API with NestJS #95. CI/CD with Amazon ECS and GitHub Actions
- 96. API with NestJS #96. Running unit tests with CI/CD and GitHub Actions
- 97. API with NestJS #97. Introduction to managing logs with Amazon CloudWatch
- 98. API with NestJS #98. Health checks with Terminus and Amazon ECS
- 99. API with NestJS #99. Scaling the number of application instances with Amazon ECS
- 100. API with NestJS #100. The HTTPS protocol with Route 53 and AWS Certificate Manager
- 101. API with NestJS #101. Managing sensitive data using the AWS Secrets Manager
- 102. API with NestJS #102. Writing unit tests with Prisma
- 103. API with NestJS #103. Integration tests with Prisma
- 104. API with NestJS #104. Writing transactions with Prisma
- 105. API with NestJS #105. Implementing soft deletes with Prisma and middleware
- 106. API with NestJS #106. Improving performance through indexes with Prisma
- 107. API with NestJS #107. Offset and keyset pagination with Prisma
- 108. API with NestJS #108. Date and time with Prisma and PostgreSQL
- 109. API with NestJS #109. Arrays with PostgreSQL and Prisma
- 110. API with NestJS #110. Managing JSON data with PostgreSQL and Prisma
- 111. API with NestJS #111. Constraints with PostgreSQL and Prisma
- 112. API with NestJS #112. Serializing the response with Prisma
- 113. API with NestJS #113. Logging with Prisma
- 114. API with NestJS #114. Modifying data using PUT and PATCH methods with Prisma
- 115. API with NestJS #115. Database migrations with Prisma
- 116. API with NestJS #116. REST API versioning
- 117. API with NestJS #117. CORS – Cross-Origin Resource Sharing
- 118. API with NestJS #118. Uploading and streaming videos
- 119. API with NestJS #119. Type-safe SQL queries with Kysely and PostgreSQL
- 120. API with NestJS #120. One-to-one relationships with the Kysely query builder
- 121. API with NestJS #121. Many-to-one relationships with PostgreSQL and Kysely
- 122. API with NestJS #122. Many-to-many relationships with Kysely and PostgreSQL
- 123. API with NestJS #123. SQL transactions with Kysely
- 124. API with NestJS #124. Handling SQL constraints with Kysely
- 125. API with NestJS #125. Offset and keyset pagination with Kysely
- 126. API with NestJS #126. Improving the database performance with indexes and Kysely
- 127. API with NestJS #127. Arrays with PostgreSQL and Kysely
- 128. API with NestJS #128. Managing JSON data with PostgreSQL and Kysely
- 129. API with NestJS #129. Implementing soft deletes with SQL and Kysely
- 130. API with NestJS #130. Avoiding storing sensitive information in API logs
- 131. API with NestJS #131. Unit tests with PostgreSQL and Kysely
- 132. API with NestJS #132. Handling date and time in PostgreSQL with Kysely
- 133. API with NestJS #133. Introducing database normalization with PostgreSQL and Prisma
- 134. API with NestJS #134. Aggregating statistics with PostgreSQL and Prisma
- 135. API with NestJS #135. Referential actions and foreign keys in PostgreSQL with Prisma
- 136. API with NestJS #136. Raw SQL queries with Prisma and PostgreSQL range types
- 137. API with NestJS #137. Recursive relationships with Prisma and PostgreSQL
- 138. API with NestJS #138. Filtering records with Prisma
- 139. API with NestJS #139. Using UUID as primary keys with Prisma and PostgreSQL
- 140. API with NestJS #140. Using multiple PostgreSQL schemas with Prisma
- 141. API with NestJS #141. Getting distinct records with Prisma and PostgreSQL
- 142. API with NestJS #142. A video chat with WebRTC and React
- 143. API with NestJS #143. Optimizing queries with views using PostgreSQL and Kysely
- 144. API with NestJS #144. Creating CLI applications with the Nest Commander
- 145. API with NestJS #145. Securing applications with Helmet
- 146. API with NestJS #146. Polymorphic associations with PostgreSQL and Prisma
- 147. API with NestJS #147. The data types to store money with PostgreSQL and Prisma
- 148. API with NestJS #148. Understanding the injection scopes
- 149. API with NestJS #149. Introduction to the Drizzle ORM with PostgreSQL
- 150. API with NestJS #150. One-to-one relationships with the Drizzle ORM
- 151. API with NestJS #151. Implementing many-to-one relationships with Drizzle ORM
- 152. API with NestJS #152. SQL constraints with the Drizzle ORM
- 153. API with NestJS #153. SQL transactions with the Drizzle ORM
- 154. API with NestJS #154. Many-to-many relationships with Drizzle ORM and PostgreSQL
- 155. API with NestJS #155. Offset and keyset pagination with the Drizzle ORM
- 156. API with NestJS #156. Arrays with PostgreSQL and the Drizzle ORM
- 157. API with NestJS #157. Handling JSON data with PostgreSQL and the Drizzle ORM
- 158. API with NestJS #158. Soft deletes with the Drizzle ORM
- 159. API with NestJS #159. Date and time with PostgreSQL and the Drizzle ORM
- 160. API with NestJS #160. Using views with the Drizzle ORM and PostgreSQL
- 161. API with NestJS #161. Generated columns with the Drizzle ORM and PostgreSQL
- 162. API with NestJS #162. Identity columns with the Drizzle ORM and PostgreSQL
- 163. API with NestJS #163. Full-text search with the Drizzle ORM and PostgreSQL
- 164. API with NestJS #164. Improving the performance with indexes using Drizzle ORM
- 165. API with NestJS #165. Time intervals with the Drizzle ORM and PostgreSQL
- 166. API with NestJS #166. Logging with the Drizzle ORM
- 167. API with NestJS #167. Unit tests with the Drizzle ORM
- 168. API with NestJS #168. Integration tests with the Drizzle ORM
Learning how to design and implement relationships between tables is a crucial skill for a backend developer. In this article, we continue working with raw SQL queries and learn about many-to-one relationships.
You can find the code from this article in this repository.
Understanding the many-to-one relationship
When creating a many-to-one relationship, a row from the first table is linked to multiple rows in the second table. Importantly, the rows from the second table can connect to just one row from the first table. A straightforward example is a post that can have a single author, while the user can be an author of many posts.
A way to implement the above relationship is to store the author’s id in the posts table as a foreign key. A foreign key is a column that matches a column from a different table.
When we create a foreign key, PostgreSQL defines a foreign key constraint. It ensures the consistency of our data.
PostgreSQL will prevent you from having an author_id that refers to a nonexistent user. For example, we can’t:
- create a post and provide author_id that does not match a record from the users table,
- modify an existing post and provide author_id that does not match a user,
- delete a user that the
author_id column refers to,
- we would have to either remove the post first or change its author,
- we could also use the
CASCADE keyword,
- it would force PostgreSQL to delete all posts the user is an author of when deleting the user.
Creating a many-to-one relationship
We want every entity in the posts table to have an author. Therefore, we should put a NON NULL constraint on the author_id column.
Unfortunately, we already have multiple posts in our database, and adding a new non-nullable column without a default value would cause an error.
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ALTER TABLE posts ADD COLUMN author_id int REFERENCES users(id) NOT NULL |
ERROR: column “author_id” of relation “posts” contains null values
Instead, we need to provide some initial value for the author_id column. To do that, we need to define a default user. A good solution for that is to create a seed file. With seeds, we can populate our database with initial data.
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knex seed:make 01_create_admin |
Running the above command creates the 01_create_admin.ts file that we can now use to define a script that creates our user.
01_create_admin.ts
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import { Knex } from 'knex'; import * as bcrypt from 'bcrypt'; export async function seed(knex: Knex): Promise<void> { const hashedPassword = await bcrypt.hash('1234567', 10); return knex.raw( ` INSERT INTO users ( email, name, password ) VALUES ( 'admin@admin.com', 'Admin', ? ) `, [hashedPassword], ); } |
When using knex.run we can use the ? sign to use parameters passed to the query.
After creating the above seed file, we can run npx knex seed:run to execute it.
Creating a migration
When creating a migration file for the author_id column, we can use the following approach:
- check the id of the default user,
- add the author_id column as nullable,
- set the author_id value for existing posts,
- add the NOT NULL constraint for the author_id column.
20220908005809_add_author_column.ts
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import { Knex } from 'knex'; export async function up(knex: Knex): Promise<void> { const adminEmail = 'admin@admin.com'; const defaultUserResponse = await knex.raw( ` SELECT id FROM users WHERE email=? `, [adminEmail], ); const adminId = defaultUserResponse.rows[0]?.id; if (!adminId) { throw new Error('The default user does not exist'); } await knex.raw( ` ALTER TABLE posts ADD COLUMN author_id int REFERENCES users(id) `, ); await knex.raw( ` UPDATE posts SET author_id = ? `, [adminId], ); await knex.raw( ` ALTER TABLE posts ALTER COLUMN author_id SET NOT NULL `, ); } export async function down(knex: Knex): Promise<void> { return knex.raw(` ALTER TABLE posts DROP COLUMN author_id; `); } |
It is crucial to acknowledge that with Knex, each migration runs inside a transaction by default. This means our migration either succeeds fully or makes no changes to the database.
Transactions in SQL are a great topic for a separate article.
Many-to-one vs. one-to-one
In the previous article, we’ve covered working with one-to-one relationships. When doing so, we ran the following query:
1 2 |
ALTER TABLE users ADD COLUMN address_id int UNIQUE REFERENCES addresses(id); |
By adding the unique constraint, we ensure that no two users have the same address.
In contrast, when adding the author_id column, we ran a query without the unique constraint:
1 2 |
ALTER TABLE posts ADD COLUMN author_id int REFERENCES users(id) |
Thanks to the above, many posts can share the same author.
Creating posts with authors
So far, we’ve relied on the user to provide the complete data of a post when creating it. On the contrary, when figuring out the post’s author, we don’t expect the user to provide the id explicitly. Instead, we get that information from the JWT token.
If you want to know more about authentication and JWT tokens, check out API with NestJS #3. Authenticating users with bcrypt, Passport, JWT, and cookies
posts.controller.ts
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import { Body, ClassSerializerInterceptor, Controller, Post, Req, UseGuards, UseInterceptors, } from '@nestjs/common'; import { PostsService } from './posts.service'; import PostDto from './post.dto'; import JwtAuthenticationGuard from '../authentication/jwt-authentication.guard'; import RequestWithUser from '../authentication/requestWithUser.interface'; @Controller('posts') @UseInterceptors(ClassSerializerInterceptor) export default class PostsController { constructor(private readonly postsService: PostsService) {} @Post() @UseGuards(JwtAuthenticationGuard) createPost(@Body() postData: PostDto, @Req() request: RequestWithUser) { return this.postsService.createPost(postData, request.user.id); } // ... } |
The next step is to handle the author_id property in our INSERT query.
posts.repository.ts
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import { Injectable } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import PostModel from './post.model'; import PostDto from './post.dto'; @Injectable() class PostsRepository { constructor(private readonly databaseService: DatabaseService) {} async create(postData: PostDto, authorId: number) { const databaseResponse = await this.databaseService.runQuery( ` INSERT INTO posts ( title, post_content, author_id ) VALUES ( $1, $2, $3 ) RETURNING * `, [postData.title, postData.content, authorId], ); return new PostModel(databaseResponse.rows[0]); } // ... } export default PostsRepository; |
Thanks to the above, we insert the author_id into the database and can use it in our model.
post.model.ts
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interface PostModelData { id: number; title: string; post_content: string; author_id: number; } class PostModel { id: number; title: string; content: string; authorId: number; constructor(postData: PostModelData) { this.id = postData.id; this.title = postData.title; this.content = postData.post_content; this.authorId = postData.author_id; } } export default PostModel; |
Getting the posts of a particular user
To get the posts of a user with a particular id, we can use a query parameter.
posts.controller.ts
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import { ClassSerializerInterceptor, Controller, Get, Query, UseInterceptors, } from '@nestjs/common'; import { PostsService } from './posts.service'; import GetPostsByAuthorQuery from './getPostsByAuthorQuery'; @Controller('posts') @UseInterceptors(ClassSerializerInterceptor) export default class PostsController { constructor(private readonly postsService: PostsService) {} @Get() getPosts(@Query() { authorId }: GetPostsByAuthorQuery) { return this.postsService.getPosts(authorId); } // ... } |
Thanks to using the GetPostsByAuthorQuery class, we can validate and transform the query parameter provided by the user.
getPostsByAuthorQuery.ts
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import { Transform } from 'class-transformer'; import { IsNumber, IsOptional, Min } from 'class-validator'; class GetPostsByAuthorQuery { @IsNumber() @Min(1) @IsOptional() @Transform(({ value }) => Number(value)) authorId?: number; } export default GetPostsByAuthorQuery; |
Then, if the user calls the API with the /posts?authorId=10, for example, we use a different method from our repository.
posts.service.ts
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import { Injectable } from '@nestjs/common'; import PostsRepository from './posts.repository'; @Injectable() export class PostsService { constructor(private readonly postsRepository: PostsRepository) {} getPosts(authorId?: number) { if (authorId) { return this.postsRepository.getByAuthorId(authorId); } return this.postsRepository.getAll(); } // ... } |
Creating a query that gets the posts written by a particular author is a matter of a simple WHERE clause.
posts.repository.ts
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import { Injectable } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import PostModel from './post.model'; @Injectable() class PostsRepository { constructor(private readonly databaseService: DatabaseService) {} async getByAuthorId(authorId: number) { const databaseResponse = await this.databaseService.runQuery( ` SELECT * FROM posts WHERE author_id=$1 `, [authorId], ); return databaseResponse.rows.map( (databaseRow) => new PostModel(databaseRow), ); } // ... } export default PostsRepository; |
Querying multiple tables
There might be a case where we want to fetch rows from both the posts and users table and match them. To do that, we need a JOIN query.
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SELECT posts.id AS id, posts.title AS title, posts.post_content AS post_content, posts.author_id as author_id, users.id AS user_id, users.email AS user_email, users.name AS user_name, users.password AS user_password FROM posts JOIN users ON posts.author_id = users.id WHERE posts.id=$1 |
By using the JOIN keyword, we perform the inner join. It returns records with matching values in both tables. Since there are no posts that don’t have the author, it is acceptable in this case.
In the previous article, we used an outer join when fetching the user with the address because the address is optional. Outer joins preserve the rows that don’t have matching values.
Since we want to fetch the post, author, and possible address, we need to use two JOIN statements.
posts.repository.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import PostWithAuthorModel from './postWithAuthor.model'; @Injectable() class PostsRepository { constructor(private readonly databaseService: DatabaseService) {} async getWithAuthor(postId: number) { const databaseResponse = await this.databaseService.runQuery( ` SELECT posts.id AS id, posts.title AS title, posts.post_content AS post_content, posts.author_id as author_id, users.id AS user_id, users.email AS user_email, users.name AS user_name, users.password AS user_password, addresses.id AS address_id, addresses.street AS address_street, addresses.city AS address_city, addresses.country AS address_country FROM posts JOIN users ON posts.author_id = users.id LEFT JOIN addresses ON users.address_id = addresses.id WHERE posts.id=$1 `, [postId], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new PostWithAuthorModel(entity); } // ... } export default PostsRepository; |
Let’s also create the PostWithAuthorModel class that extends PostModel.
postWithAuthor.model.ts
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import PostModel, { PostModelData } from './post.model'; import UserModel from '../users/user.model'; interface PostWithAuthorModelData extends PostModelData { user_id: number; user_email: string; user_name: string; user_password: string; address_id: number | null; address_street: string | null; address_city: string | null; address_country: string | null; } class PostWithAuthorModel extends PostModel { author: UserModel; constructor(postData: PostWithAuthorModelData) { super(postData); this.author = new UserModel({ id: postData.user_id, email: postData.user_email, name: postData.user_name, password: postData.user_password, ...postData, }); } } export default PostWithAuthorModel; |
Summary
In this article, we’ve implemented an example of a one-to-many relationship using raw SQL queries. When doing that, we also wrote an SQL query that uses more than one JOIN statement. We’ve also learned how to write a migration that adds a new column with a NOT NULL constraint. There is still more to cover when it comes to implementing relationships in PostgreSQL, so stay tuned!