- 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
- 169. API with NestJS #169. Unique IDs with UUIDs using Drizzle ORM and PostgreSQL
- 170. API with NestJS #170. Polymorphic associations with PostgreSQL and Drizzle ORM
- 171. API with NestJS #171. Recursive relationships with Drizzle ORM and PostgreSQL
- 172. API with NestJS #172. Database normalization with Drizzle ORM and PostgreSQL
- 173. API with NestJS #173. Storing money with Drizzle ORM and PostgreSQL
- 174. API with NestJS #174. Multiple PostgreSQL schemas with Drizzle ORM
- 175. API with NestJS #175. PUT and PATCH requests with PostgreSQL and Drizzle ORM
- 176. API with NestJS #176. Database migrations with the Drizzle ORM
- 177. API with NestJS #177. Response serialization with the Drizzle ORM
- 178. API with NestJS #178. Storing files inside of a PostgreSQL database with Drizzle
- 179. API with NestJS #179. Pattern matching search with Drizzle ORM and PostgreSQL
- 180. API with NestJS #180. Organizing Drizzle ORM schema with PostgreSQL
Developing a REST API requires us to create endpoints using various HTTP methods such as GET, POST, and DELETE. People utilizing our API expect that making a GET request lists data instead of deleting it. It’s the developer’s role to ensure that the API is easy to understand and follows the best practices. While most HTTP methods are straightforward, we can use either POST or the PATCH method to modify existing data. In this article, we learn how to use both of them and outline their differences.
PUT
In the previous parts of this series, we’ve defined a model of a post.
postSchema.prisma
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model Post { id Int @id @default(autoincrement()) title String paragraphs String[] author User @relation(fields: [authorId], references: [id]) authorId Int categories Category[] scheduledDate DateTime? @db.Timestamptz @@index([authorId]) } |
It has a few required properties and the optional scheduledDate. First, let’s take a look at one of the existing posts.
1 |
GET /posts/1 |
Response:
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{ "id": 1, "title": "Hello world!", "paragraphs": [ "Lorem ipsum" ], "authorId": 1, "scheduledDate": "2023-07-13T10:00:00.000Z" } |
One way of modifying existing posts would be by using a PUT method. It changes existing entities by replacing them. Therefore, if the request does not contain a particular field, the field should be removed.
1 |
PUT /posts/1 |
Request body:
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{ "id": 1, "title": "The first article", "paragraphs": [ "Lorem ipsum" ], "authorId": 1 } |
Response:
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{ "id": 1, "title": "Hello world!", "paragraphs": [ "Lorem ipsum" ], "authorId": 1, "scheduledDate": null } |
Since our request body does not contain the scheduledDate property, it should be set to null.
Implementing the PUT method with Prisma
The update method is the most straightforward way to modify an entity using Prisma.
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this.prismaService.post.update({ data: { id: 1, title: 'The first article', paragraphs: [ 'Lorem ipsum' ], authorId: 1 }, where: { id: 1, }, }); |
The most important thing about the update method is that it only affects the properties provided explicitly. This means that to remove the scheduledDate property, we need to mark it as null explicitly.
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this.prismaService.post.update({ data: { id: 1, title: 'The first article', paragraphs: [ 'Lorem ipsum' ], authorId: 1, scheduledDate: null, }, where: { id: 1, }, }); |
To deal with this problem, we can create a Data Transfer Object that assigns null as a default value.
replacePost.dto.ts
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import {IsString, IsNotEmpty, IsNumber, IsOptional, IsISO8601} from 'class-validator'; export class ReplacePostDto { @IsNumber() id: number; @IsString() @IsNotEmpty() title: string; @IsString({ each: true }) @IsNotEmpty() paragraphs: string[]; @IsISO8601({ strict: true, }) @IsOptional() scheduledDate: string | null = null; } |
It is worth noting that we use the @IsOptional() decorator above that allows scheduledDate to be undefined, or null.
We can now use the above DTO in our service. To prevent Prisma from modifying the id of existing posts, we can provide undefined as the id.
posts.service.ts
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import { Injectable } from '@nestjs/common'; import { PrismaService } from '../prisma/prisma.service'; import { Prisma } from '@prisma/client'; import { PrismaError } from '../utils/prismaError'; import { PostNotFoundException } from './exceptions/postNotFound.exception'; import { ReplacePostDto } from './dto/replacePost.dto'; @Injectable() export class PostsService { constructor(private readonly prismaService: PrismaService) {} async replacePost(id: number, post: ReplacePostDto) { try { return await this.prismaService.post.update({ data: { ...post, id: undefined, }, where: { id, }, }); } catch (error) { if ( error instanceof Prisma.PrismaClientKnownRequestError && error.code === PrismaError.RecordDoesNotExist ) { throw new PostNotFoundException(id); } throw error; } } // ... } |
An important thing above is that we are using the PrismaError enum we created in some of the previous parts of this series. It helps us understand the error that happened and allows us to act accordingly.
prismaError.ts
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export enum PrismaError { RecordDoesNotExist = 'P2025', UniqueConstraintFailed = 'P2002', } |
The last step is to add a PUT method handler to our controller.
posts.controller.ts
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import { Body, Controller, Param, Put, } from '@nestjs/common'; import { PostsService } from './posts.service'; import { FindOneParams } from '../utils/findOneParams'; import { ReplacePostDto } from './dto/replacePost.dto'; @Controller('posts') export default class PostsController { constructor(private readonly postsService: PostsService) {} @Put(':id') async replacePost( @Param() { id }: FindOneParams, @Body() post: ReplacePostDto, ) { return this.postsService.replacePost(id, post); } // ... } |
Thanks to using our DTO, if the users make a PUT request without providing the scheduledDate, we change it to null.
PATCH
Another approach to modifying existing entities is through a PATCH method. The HTTP protocol describes it as modifying an entity partially through a set of instructions. The most straightforward way of implementing it is by sending a request body with the partial entity.
1 |
PATCH /posts/1 |
Request body:
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{ "id": 1, "title": "The first article", "paragraphs": [ "Lorem ipsum" ], "authorId": 1 } |
Response:
1 2 3 4 5 6 7 8 9 |
{ "id": 1, "title": "The first article", "paragraphs": [ "Lorem ipsum" ], "authorId": 1, "scheduledDate": "2023-07-13T10:00:00.000Z" } |
The crucial thing about the above request is that we don’t provide the scheduledDate property when modifying our post. To delete a property, we need to send null explicitly. Thanks to that, we can avoid removing values by accident.
Implementing the PATCH method with Prisma
Let’s start by creating a new Data Transfer Object for the PATCH method. Since with sending a PATCH request, all properties are optional, we might think of using the @IsOptional() decorator.
updatePost.dto.ts
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 |
import { IsString, IsNotEmpty, IsNumber, IsISO8601, IsOptional, } from 'class-validator'; export class UpdatePostDto { @IsNumber() @IsOptional() id?: number; @IsString() @IsNotEmpty() @IsOptional() title?: string; @IsString({ each: true }) @IsNotEmpty() @IsOptional() paragraphs?: string[]; @IsISO8601({ strict: true, }) @IsOptional() scheduledDate?: string | null; } |
However, there is one big issue with it. Unfortunately, it causes the class-validator to allow both undefined and null as the value for the decorated property. This can cause an Internal server error in our application because most of our columns are not nullable. We can solve this problem by using the ValidateIf decorator.
updatePost.dto.ts
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import { IsString, IsNotEmpty, IsNumber, IsISO8601, ValidateIf, } from 'class-validator'; export class UpdatePostDto { @IsNumber() @ValidateIf((object, value) => value !== undefined) id?: number; @IsString() @IsNotEmpty() @ValidateIf((object, value) => value !== undefined) title?: string; @IsString({ each: true }) @IsNotEmpty() @ValidateIf((object, value) => value !== undefined) paragraphs?: string[]; @IsISO8601({ strict: true, }) @ValidateIf((object, value) => value !== undefined && value !== null) scheduledDate?: string | null; } |
With the above code, we validate the properties only if they match the provided condition. We can simplify our DTO a lot by creating two custom decorators that use ValidateIf() under the hood.
canBeNull.ts
1 2 3 4 5 |
import { ValidateIf } from 'class-validator'; export function CanBeNull() { return ValidateIf((object, value) => value !== null); } |
canBeUndefined.ts
1 2 3 4 5 |
import { ValidateIf } from 'class-validator'; export function CanBeUndefined() { return ValidateIf((object, value) => value !== undefined); } |
Thanks to our new decorators, our code can be cleaner and shorter.
updatePost.dto.ts
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
import { IsString, IsNotEmpty, IsNumber, IsISO8601 } from 'class-validator'; import { CanBeUndefined } from '../../utils/canBeUndefined'; import { CanBeNull } from '../../utils/canBeNull'; export class UpdatePostDto { @IsNumber() @CanBeUndefined() id?: number; @IsString() @IsNotEmpty() @CanBeUndefined() title?: string; @IsString({ each: true }) @IsNotEmpty() @CanBeUndefined() paragraphs?: string[]; @IsISO8601({ strict: true, }) @CanBeUndefined() @CanBeNull() scheduledDate?: string | null; } |
Implementing the PATCH method with Prisma is very straightforward, thanks to how the update method works. It modifies only the explicitly provided properties, which is precisely what we need.
posts.service.ts
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import { Injectable } from '@nestjs/common'; import { PrismaService } from '../prisma/prisma.service'; import { UpdatePostDto } from './dto/updatePost.dto'; import { Prisma } from '@prisma/client'; import { PrismaError } from '../utils/prismaError'; import { PostNotFoundException } from './exceptions/postNotFound.exception'; @Injectable() export class PostsService { constructor(private readonly prismaService: PrismaService) {} async updatePost(id: number, post: UpdatePostDto) { try { return await this.prismaService.post.update({ data: { ...post, id: undefined, }, where: { id, }, }); } catch (error) { if ( error instanceof Prisma.PrismaClientKnownRequestError && error.code === PrismaError.RecordDoesNotExist ) { throw new PostNotFoundException(id); } throw error; } } // ... } |
Finally, we need to add the PUT method handler to our controller.
posts.controller.ts
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
import { Body, Controller, Param, Put } from '@nestjs/common'; import { PostsService } from './posts.service'; import { FindOneParams } from '../utils/findOneParams'; import { ReplacePostDto } from './dto/replacePost.dto'; @Controller('posts') export default class PostsController { constructor(private readonly postsService: PostsService) {} @Put(':id') async replacePost( @Param() { id }: FindOneParams, @Body() post: ReplacePostDto, ) { return this.postsService.replacePost(id, post); } // ... } |
Thanks to all of the above, we can now support a PUT method.
Summary
Both the PUT and PATCH method have their use cases and can be useful. However, with the PATCH method, we don’t expect the user to know about all of the properties of our entity. Since deleting a value requires the users to provide null explicitly, it is less likely that they will remove a property by accident.
Since, in this article, we’ve gone through both PUT and PATCH and implemented them in our application with NestJS in Prisma, you now have the necessary knowledge to use the approach that suits your project the most.