- 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
Deleting entities is a standard feature in most REST APIs. The most straightforward approach is to remove rows from the database permanently. However, we can use soft deletes to keep the deleted entities in our database. In this article, we learn how to do it using the Drizzle ORM and PostgreSQL.
Introducing soft deletes
To implement soft deletes, we can use a boolean flag to indicate which records are deleted.
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CREATE TABLE categories ( id int GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, name text NOT NULL, is_deleted boolean DEFAULT false ); |
In the code above, we use the DEFAULT keyword so that the is_deleted flag is automatically set to false whenever a new entity is added to the database.
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INSERT into categories ( name ) VALUES ( 'JavaScript' ) RETURNING * |
To perform a soft delete on the record above, we avoid using the DELETE keyword. Instead, we update the is_deleted column to indicate that the record has been deleted without permanently removing it.
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UPDATE categories SET is_deleted = true WHERE id = 1 RETURNING * |
It’s crucial to notice that implementing soft deletes affects various queries. For instance, we need to account for it when fetching the list of all entities.
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SELECT * from categories WHERE is_deleted = false |
Advantages
One clear benefit of soft deletes is easily restoring deleted entities, offering a better user experience than using a backup. For example, an undo button can simply reset the is_deleted flag to false. Additionally, we can still access deleted records from the database, which is helpful for generating comprehensive reports, for example.
Soft deletes are also helpful in managing relationships. For example, permanently deleting a record referenced in another table can cause a foreign key constraint violation. This issue is avoided with soft deletes since the records remain in the database.
If you want to know more about constraints, check out API with NestJS #152. SQL constraints with the Drizzle ORM
Disadvantages
A major drawback of soft deletes is the need to account for them in all related queries. Users might access information they shouldn’t if we forget to filter by the is_deleted column when retrieving data. Unfortunately, this additional filtering can also affect performance.
Another factor to consider is the unique constraint. In the previous parts of this series, we created the users table, where each row contains a unique email.
database-schema.ts
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import { serial, text, integer, pgTable, } from 'drizzle-orm/pg-core'; export const users = pgTable('users', { id: serial('id').primaryKey(), email: text('email').unique().notNull(), name: text('name').notNull(), password: text('password').notNull(), addressId: integer('address_id') .unique() .references(() => addresses.id), }); // ... export const databaseSchema = { users, // ... }; |
In this scenario, each user must have a unique email. Hard deletes free up the email for reuse, but with soft deletes, the records remain in the database. Therefore, deleted users’ emails are not made available to others.
Soft deletes with the Drizzle ORM
A typical approach for soft deletes is to store the deletion date rather than just using a boolean flag.
database-schema.ts
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import { serial, text, pgTable, timestamp } from 'drizzle-orm/pg-core'; export const categories = pgTable('categories', { id: serial('id').primaryKey(), name: text('title').notNull(), deletedAt: timestamp('deleted_at', { withTimezone: true }), }); // ... export const databaseSchema = { categories, }; |
Deleting entities
When deleting our categories, it’s important to correctly set the value of the deleted_at column. Fortunately, we can use the now() function built into SQL.
categories.service.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import { DrizzleService } from '../database/drizzle.service'; import { databaseSchema } from '../database/database-schema'; import { eq, sql, and, isNull } from 'drizzle-orm'; @Injectable() export class CategoriesService { constructor(private readonly drizzleService: DrizzleService) {} // ... async delete(id: number) { const deletedCategories = await this.drizzleService.db .update(databaseSchema.categories) .set({ deletedAt: sql`now()`, }) .where( and( eq(databaseSchema.categories.id, id), isNull(databaseSchema.categories.deletedAt), ), ) .returning(); if (deletedCategories.length === 0) { throw new NotFoundException(); } } } |
What’s important is that we use the isNull() to prevent deleting a category that’s already deleted. In a case such as that, we need to throw the NotFoundException.
Fetching entities
We also need to use the isNull function when fetching categories to filter out deleted ones.
categories.service.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import { DrizzleService } from '../database/drizzle.service'; import { databaseSchema } from '../database/database-schema'; import { eq, and, isNull } from 'drizzle-orm'; @Injectable() export class CategoriesService { constructor(private readonly drizzleService: DrizzleService) {} getAll() { return this.drizzleService.db .select() .from(databaseSchema.categories) .where(isNull(databaseSchema.categories.deletedAt)); } async getById(categoryId: number) { const category = await this.drizzleService.db.query.categories.findFirst({ with: { categoriesArticles: { with: { article: true, }, }, }, where: and( eq(databaseSchema.categories.id, categoryId), isNull(databaseSchema.categories.deletedAt), ), }); if (!category) { throw new NotFoundException(); } const articles = category.categoriesArticles.map(({ article }) => article); return { id: category.id, name: category.name, articles, }; } // ... } |
Thanks to using the isNull function, trying to fetch a category with a given ID that is deleted results in the 404 Not Found Error.
Updating entities
The soft deletes also affect how we update existing entities.
categories.service.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import { CategoryDto } from './dto/category.dto'; import { DrizzleService } from '../database/drizzle.service'; import { databaseSchema } from '../database/database-schema'; import { eq, and, isNull } from 'drizzle-orm'; @Injectable() export class CategoriesService { constructor(private readonly drizzleService: DrizzleService) {} async update(id: number, data: CategoryDto) { const updatedCategories = await this.drizzleService.db .update(databaseSchema.categories) .set(data) .where( and( eq(databaseSchema.categories.id, id), isNull(databaseSchema.categories.deletedAt), ), ) .returning(); if (updatedCategories.length === 0) { throw new NotFoundException(); } return updatedCategories.pop(); } // ... } |
Restoring removed entities
We sometimes might want to restore an entity we removed. Thankfully, that’s straightforward and as simple as setting the delete_at column to null.
categories.service.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import { DrizzleService } from '../database/drizzle.service'; import { databaseSchema } from '../database/database-schema'; import { eq } from 'drizzle-orm'; @Injectable() export class CategoriesService { constructor(private readonly drizzleService: DrizzleService) {} async restore(id: number) { const restoredCategories = await this.drizzleService.db .update(databaseSchema.categories) .set({ deletedAt: null, }) .where(eq(databaseSchema.categories.id, id)) .returning(); if (restoredCategories.length === 0) { throw new NotFoundException(); } return restoredCategories.pop(); } // ... } |
Summary
In this article, we implemented soft deletes and weighted their benefits and drawbacks. Soft deletes can improve the user experience by allowing the user to both delete and restore entities. However, they add complexity to our SQL queries. Despite this, soft deletes have applications and can be helpful in certain scenarios. Therefore, knowing how to implement them and when it makes sense is worth knowing.