- 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
A significant thing to realize when developing a REST API is that HTTP methods are a matter of convention. For example, in theory, we could delete entities with the POST method. However, our job is to create an API that is consistent with the REST standard and works predictably.
Updating existing rows in the database is an important part of working with databases. Since that’s the case, it is worth it to investigate the PUT and PATCH methods closer. In this article, we compare them and implement them with raw SQL queries.
PUT
The job of the PUT method is to modify an existing entity by replacing it. Therefore, if the request body does not contain a field, it should be removed from the document.
In one of the previous parts of this series, we defined a table of addresses.
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CREATE TABLE addresses ( id int GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, street text, city text, country text ) |
The important thing to notice above is that the street, city, and country columns accept null values.
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GET /addresses/1 |
Response:
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{ "id": 1, "street": "Amphitheatre Parkway", "city": "Mountain View", "country": "USA" } |
Above, we can see that this post contains all possible properties. Let’s make a PUT request now.
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PUT /addresses/1 |
Request body:
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{ "id": 1, "country": "USA" } |
Response:
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{ "id": 1, "street": null, "city": null, "country": "USA" } |
Since our request didn’t contain the street and city properties, they were set to null.
Implementing the PUT method with SQL
Let’s use the correct decorator in the controller to implement the PUT method with SQL and NestJS.
addresses.controller.ts
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import { Body, Controller, Param, Put, UseGuards } from '@nestjs/common'; import FindOneParams from '../utils/findOneParams'; import JwtAuthenticationGuard from '../authentication/jwt-authentication.guard'; import AddressDto from './address.dto'; import AddressesService from './addresses.service'; @Controller('addresses') export default class AddressesController { constructor(private readonly addressesService: AddressesService) {} @Put(':id') @UseGuards(JwtAuthenticationGuard) update(@Param() { id }: FindOneParams, @Body() addressDto: AddressDto) { return this.addressesService.update(id, addressDto); } // } |
In our Data Transfer Object, we can point out that all of the properties of the address are optional. Let’s ensure that if the user provides data, it consists of non-empty strings.
address.dto.ts
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import { IsString, IsNotEmpty, IsOptional } from 'class-validator'; class AddressDto { @IsString() @IsOptional() @IsNotEmpty() street?: string; @IsString() @IsOptional() @IsNotEmpty() city?: string; @IsString() @IsOptional() @IsNotEmpty() country?: string; } export default AddressDto; |
In our SQL query, we need to use the UPDATE keyword.
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UPDATE addresses SET street = NULL, city = NULL, country = 'USA' WHERE id = 1 RETURNING * |
Fortunately, the node-postgres library makes handling the missing values straightforward. If we provide undefined as a parameter to our query, it converts it to null.
address.repository.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import AddressModel from './address.model'; import AddressDto from './address.dto'; @Injectable() class AddressesRepository { constructor(private readonly databaseService: DatabaseService) {} async update(id: number, addressData: AddressDto) { const databaseResponse = await this.databaseService.runQuery( ` UPDATE addresses SET street = $2, city = $3, country = $4 WHERE id = $1 RETURNING * `, [id, addressData.street, addressData.city, addressData.country], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new AddressModel(entity); } // ... } export default AddressesRepository; |
Thanks to how the node-postgres library handles the undefined value, we can simply use the addressData in our parameters array. If, for example, addressData.street is missing, it saves null in the database.
PATCH
The PUT method is a valid choice, and it is very common. However, it might not fit every case. One of the significant downsides is that we assume that the client knows all of the details of a particular entity. Since not including a specific property removes it, the user must be careful.
A solution to the above problem can be the PATCH method which allows for a partial modification of an entity. The HTTP protocol introduced PATCH in 2010 and describes it as a set of instructions explaining how to modify a resource. The most straightforward way of interpreting the above is sending a request body with a partial entity.
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PATCH /addresses/1 |
Request body:
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{ "id": 1, "street": null, "country": "Canada" } |
Response:
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{ "id": 1, "street": null, "city": "Mountain View", "country": "Canada" } |
The crucial thing above is that we don’t provide the city property, which isn’t removed from our entity. To delete a field, we need to explicitly send null. Thanks to this, we can’t remove a property by accident.
Implementing the PATCH method with SQL
Let’s start by using the @Patch() decorator in our controller.
addresses.controller.ts
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import { Body, Controller, Param, Patch, UseGuards } from '@nestjs/common'; import FindOneParams from '../utils/findOneParams'; import JwtAuthenticationGuard from '../authentication/jwt-authentication.guard'; import AddressDto from './address.dto'; import AddressesService from './addresses.service'; @Controller('addresses') export default class AddressesController { constructor(private readonly addressesService: AddressesService) {} @Patch(':id') @UseGuards(JwtAuthenticationGuard) update(@Param() { id }: FindOneParams, @Body() addressDto: AddressDto) { return this.addressesService.update(id, addressDto); } // ... } |
There are multiple ways of implementing PATCH with SQL using the UPDATE keyword. Let’s take a look at this SQL:
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UPDATE addresses SET country = 'USA', city = NULL, street = street WHERE id = 1 RETURNING * |
Above, we are setting the value for three columns:
- the country becomes 'USA',
- the city becomes null,
- the street stays the same.
Using street = street does not set the value of the street column to the “street” string. Instead, it sets the street column to the value of the street column. In consequence, its value remains the same.
We can use the above knowledge to write the following query:
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import AddressModel from './address.model'; import AddressDto from './address.dto'; @Injectable() class AddressesRepository { constructor(private readonly databaseService: DatabaseService) {} async update(id: number, addressData: AddressDto) { const { street, city, country } = addressData; const databaseResponse = await this.databaseService.runQuery( ` UPDATE addresses SET street = ${street !== undefined ? '$2' : 'street'}, city = ${city !== undefined ? '$3' : 'city'}, country = ${country !== undefined ? '$4' : 'country'} WHERE id = $1 RETURNING * `, [id, street, city, country], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new AddressModel(entity); } // ... } export default AddressesRepository; |
Above, we maintain the value of a particular column if the user does not provide its value. There is one big flaw in the above code, though. The query needs to use all the parameters we provide in the array. Let’s imagine a situation where the user provides only the street.
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{ "street": "Amphitheatre Parkway" } |
The update method generates the following query:
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const databaseResponse = await this.databaseService.runQuery( ` UPDATE addresses SET street = $2 city = city country = country WHERE id = $1 RETURNING * `, [id, street, city, country], ); |
Above, we can see that we are not using the $3 and $4 parameters. This causes the following error:
error: bind message supplies 4 parameters, but prepared statement “” requires 2
In most cases, not using a certain parameter means a bug in our code. However, since this is not the case, we could fix the issue by using all of the arguments in another way.
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import AddressModel from './address.model'; import AddressDto from './address.dto'; @Injectable() class AddressesRepository { constructor(private readonly databaseService: DatabaseService) {} async update(id: number, addressData: AddressDto) { const { street, city, country } = addressData; const databaseResponse = await this.databaseService.runQuery( ` WITH used_parameters AS ( SELECT $2, $3, $4 ) UPDATE addresses SET street = ${street !== undefined ? '$2' : 'street'}, city = ${city !== undefined ? '$3' : 'city'}, country = ${country !== undefined ? '$4' : 'country'} WHERE id = $1 RETURNING * `, [id, street, city, country], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new AddressModel(entity); } // ... } export default AddressesRepository; |
Thanks to the above approach, we still use the associated parameter even if the user does not provide a specific value.
Generating the query with JavaScript
If you don’t like the above approach, an alternative is generating the SQL query using JavaScript.
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import AddressModel from './address.model'; import AddressDto from './address.dto'; @Injectable() class AddressesRepository { constructor(private readonly databaseService: DatabaseService) {} async getById(id: number) { const databaseResponse = await this.databaseService.runQuery( ` SELECT * FROM addresses WHERE id=$1 `, [id], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new AddressModel(entity); } async update(id: number, addressData: AddressDto) { const { street, city, country } = addressData; // return the entity without updating if no value provided if (![street, city, country].some((value) => value !== undefined)) { return this.getById(id); } const params: unknown[] = [id]; const setQueryParts: string[] = []; if (street !== undefined) { params.push(street); setQueryParts.push(`street = $${params.length}`); } if (city !== undefined) { params.push(city); setQueryParts.push(`city = $${params.length}`); } if (country !== undefined) { params.push(country); setQueryParts.push(`country = $${params.length}`); } const databaseResponse = await this.databaseService.runQuery( ` UPDATE addresses SET ${setQueryParts.join(', ')} WHERE id = $1 RETURNING * `, params, ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new AddressModel(entity); } } export default AddressesRepository; |
Feel free to create an abstraction over the above approach if you would like to reuse it in multiple different repositories.
An advantage of the above approach is that we generate a query that contains only the columns we want to update. A significant downside is that we create the params array unpredictability. For example, we can no longer assume that the value for the city column is in the $3 parameter.
JSON Patch
An alternative to the above implementation is sending instructions on how to modify the entity literally. One way to do that is to use the JSON Patch format.
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PATCH /addresses/1 |
Request body:
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[ { "op": "replace", "path": "/country", "value": "Canada" } ] |
To know more, check out the jsonpatch.com page. When implementing it, the fast-json-patch library might come in handy.
Summary
In this article, we’ve gone through the PUT and PATCH methods and implemented them in our NestJS project. Both ways have their use cases and prove to be useful. We also compared different approaches to implementing the PATCH method. Each one of them has pros and cons, and it is best to choose one based on a particular case. Knowing the difference between PUT and PATCH and how it affects our SQL queries is a piece of useful knowledge for sure.