- 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
In this series, we’ve used Mongoose to define properties in our schemas and work with models for documents. We’ve also defined various relations between collections. With Mongoose, we can also take advantage of virtual properties that are not stored in MongoDB. To understand them, we first grasp the concept of getters and setters.
You can find the code from this article in this repository.
Getters and setters with Mongoose
We can execute custom logic when we get and set properties in a document with getters and setters.
Getters
By using getters, we can modify the data of a document when we retrieve it. Let’s create an example when the user has a credit card number that we want to obfuscate when responding to the API request.
user.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document } from 'mongoose'; export type UserDocument = User & Document; @Schema({ toJSON: { getters: true, }, }) export class User { @Prop({ unique: true }) email: string; @Prop({ get: (creditCardNumber: string) => { if (!creditCardNumber) { return; } const lastFourDigits = creditCardNumber.slice( creditCardNumber.length - 4, ); return `****-****-****-${lastFourDigits}`; }, }) creditCardNumber?: string; // ... } export const UserSchema = SchemaFactory.createForClass(User); |
When we return the documents from our API, NestJS stringifies our data. When that happens, the toJSON method is called on our Mongoose models. Therefore, if we want our getters to be considered, we need to add getters: true to our configuration explicitly.
Documents also have the toObject method and we can customize it in a similar way.
We also use toJSON in our MongooseClassSerializerInterceptor. For more details, check out API with NestJS #44. Implementing relationships with MongoDB
In our code above, we obfuscate the credit card number every time we return the user’s document from our API.
Mongoose assignes our schemas a virtual getter for the id field. It now appears in the response because we’ve turned on getters through getters: true. More on virtuals later.
There are times where we want to access the original, non-modified property. To do that, we can use the Document.prototype.get() function.
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const user = await this.usersService.getByEmail(email); const creditCardNumber = await this.usersService.getByEmail(email); |
Setters
With setters, we can modify the data before saving it in the database.
post.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document, ObjectId } from 'mongoose'; import { Transform } from 'class-transformer'; export type PostDocument = Post & Document; @Schema() export class Post { @Transform(({ value }) => value.toString()) _id: ObjectId; @Prop() title: string; @Prop({ set: (content: string) => { return content.trim(); }, }) content: string; // ... } export const PostSchema = SchemaFactory.createForClass(Post); |
Thanks to doing the above, we now remove whitespace from both ends of the content string.
While setters are a valid technique, you might prefer to put this logic in the service for increased readability. However, even if that’s the case, setters are worth knowing.
Virtual properties
A virtual is a property that we can get and set, but it is not stored inside the database. Let’s define a simple example of a use case.
user.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document } from 'mongoose'; export type UserDocument = User & Document; @Schema() export class User { @Prop() firstName: string; @Prop() lastName: string; @Prop() fullName: string; // ... } export const UserSchema = SchemaFactory.createForClass(User); |
The above approach is flawed, unfortunately. If we persist the fullName property into MongoDB, we duplicate the information because we already have the firstName and lastName. A more appropriate approach would be to create the fullName on the fly based on other properties.
Getters
We can achieve the above with the virtual property. So, let’s create it along with a getter.
user.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document } from 'mongoose'; export type UserDocument = User & Document; @Schema({ toJSON: { virtuals: true, }, }) export class User { @Prop() firstName: string; @Prop() lastName: string; fullName: string; // ... } const UserSchema = SchemaFactory.createForClass(User); UserSchema.virtual('fullName').get(function (this: UserDocument) { return `${this.firstName} ${this.lastName}`; }); export { UserSchema }; |
Please notice that we don’t use the @Prop() decorator on the fullName property. Instead, we call the UserSchema.virtual function at the bottom of the file.
Thanks to adding virtuals: true, our virtual properties are visible when converting a document to JSON. Even though we can see fullName in the above response, it isn’t saved to the database.
Setters
With virtual, we can also create setters. We can use them, for example, to set multiple properties at once.
user.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document, ObjectId } from 'mongoose'; import { Transform } from 'class-transformer'; export type UserDocument = User & Document; @Schema({ toJSON: { getters: true, virtuals: true, }, }) export class User { @Prop() firstName: string; @Prop() lastName: string; fullName: string; // ... } const UserSchema = SchemaFactory.createForClass(User); UserSchema.virtual('fullName') .get(function (this: UserDocument) { return `${this.firstName} ${this.lastName}`; }) .set(function (this: UserDocument, fullName: string) { const [firstName, lastName] = fullName.split(' '); this.set({ firstName, lastName }); }); export { UserSchema }; |
Above, we set the firstName and lastName properties based on the fullName.
Populating virtual properties
A handy feature of virtual properties is using them to populate documents from another collection.
We learn the basics of the populate feature in API with NestJS #44. Implementing relationships with MongoDB
In an example in the previous article, we create a schema for a post, using it to store the reference to the author.
post.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document, ObjectId } from 'mongoose'; import * as mongoose from 'mongoose'; import { User } from '../users/user.schema'; import { Transform, Type } from 'class-transformer'; export type PostDocument = Post & Document; @Schema() export class Post { @Transform(({ value }) => value.toString()) _id: ObjectId; @Prop() title: string; @Prop() content: string; @Prop({ type: mongoose.Schema.Types.ObjectId, ref: User.name }) @Type(() => User) author: User; } export const PostSchema = SchemaFactory.createForClass(Post); |
Therefore, when we fetch the User document, we don’t have information about any posts. We can use virtual properties to tackle this issue.
user.schema.ts
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import { Prop, Schema, SchemaFactory } from '@nestjs/mongoose'; import { Document } from 'mongoose'; import { Type } from 'class-transformer'; import { Post } from '../posts/post.schema'; export type UserDocument = User & Document; @Schema({ toJSON: { getters: true, virtuals: true, }, }) export class User { @Prop({ unique: true }) email: string; @Type(() => Post) posts: Post[]; // ... } const UserSchema = SchemaFactory.createForClass(User); UserSchema.virtual('posts', { ref: 'Post', localField: '_id', foreignField: 'author', }); export { UserSchema }; |
The last step is to call the populate function along with the document of the user. While we’re at it, we can also populate the nested categories property.
users.service.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import { InjectModel } from '@nestjs/mongoose'; import { Model } from 'mongoose'; import { UserDocument, User } from './user.schema'; @Injectable() export class UsersService { constructor(@InjectModel(User.name) private userModel: Model<UserDocument>) {} async getById(id: string) { const user = await this.userModel.findById(id).populate({ path: 'posts', populate: { path: 'categories', }, }); if (!user) { throw new NotFoundException(); } return user; } } |
Summary
In this article, we’ve learned what virtual properties are how they can be useful. We’ve used them both to add simple properties and populate documents from other collections. To better grasp the concept of virtual, we’ve also investigated getters and setters. All of the above can surely come in handy when using Mongoose to define MongoDB schemas.
Awesome features. Thanks for the articles. I was always wondering how can I setup 2 way relationship. With virtual, I will only need to manage one side.
Thank you for sharing. I can’t wait to see the next article
I’m getting this error when using serializer interceptor
RangeError: Maximum call stack size exceeded
at ctor.<computed> [as default] (D:\Workspaces\Fiverr\muhammedgeyik\mega-radio-api-nestjs\node_modules\mongoose\lib\statemachine.js:57:12)
at $__applyDefaults (D:\Workspaces\Fiverr\muhammedgeyik\mega-radio-api-nestjs\node_modules\mongoose\lib\document.js:523:40)
you must custom your ClassSerializeInterceptor like this: