- 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
Removing entities is a very common feature in a lot of web applications. The most straightforward way of achieving it is permanently deleting rows from the database. In this article, we implement soft deletes that only mark records as deleted.
You can find the code from this article in this repository.
The idea behind soft deletes
The simplest way of implementing soft deletes is with a boolean flag.
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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 ); |
Above, we use the DEFAULT keyword. Thanks to that, every time we insert an entity into our database, the is_deleted flag equals false.
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INSERT into categories ( name ) VALUES ( 'JavaScript' ) RETURNING * |
When we want to perform a soft delete on the above record, we don’t use the DELETE keyword. Instead, we update the value in the is_deleted column.
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UPDATE categories SET is_deleted = true WHERE id = 1 RETURNING * |
The crucial thing is that implementing soft deletes affects various queries. For example, we need to consider it when getting the list of all entities.
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SELECT * from categories WHERE is_deleted = false |
Advantages of soft deletes
The most apparent advantage of soft deletes is that we can quickly restore the entities we’ve deleted. While that’s also possible with backups, soft deletes allow for a better user experience. A good example is an undo button that changes the is_deleted flag back to false.
The convenient thing is that we can fetch the deleted records from the database even though we’ve marked them as removed. This can be useful when we want to generate a report that includes all our records, for example.
If you want to know how to use SQL to generate a report, check out API with NestJS #78. Generating statistics using aggregate functions in raw SQL
Soft deletes might also help us deal with relationships. For example, in this series, we’ve created the categories_posts table.
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CREATE TABLE categories_posts ( category_id int REFERENCES categories(id), post_id int REFERENCES posts(id), PRIMARY KEY (category_id, post_id) ); |
If you want to know more about the above table, check out API with NestJS #74. Designing many-to-one relationships using raw SQL queries
Performing a hard delete on a category that’s referenced in the categories_posts table causes the foreign constraint violation. The above does not happen with soft deletes because we don’t remove the records from the database.
Disadvantages of soft deletes
A significant drawback of implementing soft deletes is that we always need to consider them in various queries. When we implement an endpoint that fetches the data, and we forget to filter by the is_deleted column, the client might access data that shouldn’t be accessible. Having to implement additional filtering might also have an impact on the performance.
Besides the above, we must also watch out for the unique constraint. Let’s create an example by modifying our users table by adding the is_deleted column.
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CREATE TABLE users ( id int GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, email text NOT NULL UNIQUE, name text NOT NULL, password text NOT NULL, is_deleted boolean DEFAULT false ) |
In the above case, we require every email to be unique. With hard deletes, removing users makes their email accessible to others. However, we don’t remove records from the database when we use soft deletes. Because of that, removing users with soft deletes does not make their emails available to use.
If you want to know more about constraints, check out Defining constraints with PostgreSQL and TypeORM
Implementing soft deletes in our NestJS project
A common approach to implementing soft deletes is storing the deletion date instead of using a simple boolean column. Let’s create a migration that adds a new comments table that uses soft deletes.
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npx knex migrate:make add_comments_table |
20221029170345_add_comments_table.ts
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import { Knex } from 'knex'; export async function up(knex: Knex): Promise<void> { return knex.raw(` CREATE TABLE comments ( id int GENERATED BY DEFAULT AS IDENTITY PRIMARY KEY, content text NOT NULL, post_id int REFERENCES posts(id) NOT NULL, author_id int REFERENCES posts(id) NOT NULL, deletion_date timestamptz ); `); } export async function down(knex: Knex): Promise<void> { return knex.raw(` DROP TABLE comments; `); } |
If you want to know more about dates in PostgreSQL, check out Managing date and time with PostgreSQL and TypeORM
Deleting entities
The crucial part of implementing soft deletes is handling the DELETE method correctly.
comments.controller.ts
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import { ClassSerializerInterceptor, Controller, Delete, Param, UseGuards, UseInterceptors, } from '@nestjs/common'; import FindOneParams from '../utils/findOneParams'; import JwtAuthenticationGuard from '../authentication/jwt-authentication.guard'; import CommentsService from './comments.service'; @Controller('comments') @UseInterceptors(ClassSerializerInterceptor) export default class CommentsController { constructor(private readonly commentsService: CommentsService) {} @Delete(':id') @UseGuards(JwtAuthenticationGuard) delete(@Param() { id }: FindOneParams) { return this.commentsService.delete(id); } // ... } |
The SQL query in our repository should set the value for the deletion_date column correctly. One way to do that is to use the now() function that returns the current date and time with the timezone.
comments.repository.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; @Injectable() class CommentsRepository { constructor(private readonly databaseService: DatabaseService) {} async delete(id: number) { const databaseResponse = await this.databaseService.runQuery( ` UPDATE comments SET deletion_date=now() WHERE id = $1 AND deletion_date=NULL RETURNING * `, [id], ); if (databaseResponse.rowCount === 0) { throw new NotFoundException(); } } // ... } export default CommentsRepository; |
Above, we include check if the deletion_date equals NULL to disallow removing the entity if it is already marked as deleted.
Fetching entities
It is crucial to account for the deletion_date column in the rest of our queries. A good example is implementing the GET method.
comments.controller.ts
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import { ClassSerializerInterceptor, Controller, Get, Param, UseInterceptors, } from '@nestjs/common'; import FindOneParams from '../utils/findOneParams'; import CommentsService from './comments.service'; @Controller('comments') @UseInterceptors(ClassSerializerInterceptor) export default class CommentsController { constructor(private readonly commentsService: CommentsService) {} @Get() getAll() { return this.commentsService.getAll(); } @Get(':id') getById(@Param() { id }: FindOneParams) { return this.commentsService.getBytId(id); } // ... } |
When fetching the entities, we need to make sure to filter out the records that have the deletion_date.
comments.repository.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import CommentModel from './comment.model'; @Injectable() class CommentsRepository { constructor(private readonly databaseService: DatabaseService) {} async getAll() { const databaseResponse = await this.databaseService.runQuery(` SELECT * FROM comments WHERE deletion_date = NULL `); return databaseResponse.rows.map( (databaseRow) => new CommentModel(databaseRow), ); } async getById(id: number) { const databaseResponse = await this.databaseService.runQuery( ` SELECT * FROM comments WHERE id=$1 AND deletion_date = NULL `, [id], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new CommentModel(entity); } // ... } export default CommentsRepository; |
Thanks to the above approach, trying to fetch a record marked as deleted results in the 404 Not Found error.
Updating entities
Using soft deletes can also affect the implementation of our PUT method.
comments.controller.ts
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import { Body, ClassSerializerInterceptor, Controller, Param, Put, UseGuards, UseInterceptors, } from '@nestjs/common'; import FindOneParams from '../utils/findOneParams'; import JwtAuthenticationGuard from '../authentication/jwt-authentication.guard'; import CommentsService from './comments.service'; import CommentDto from './comment.dto'; @Controller('comments') @UseInterceptors(ClassSerializerInterceptor) export default class CommentsController { constructor(private readonly commentsService: CommentsService) {} @Put(':id') @UseGuards(JwtAuthenticationGuard) update(@Param() { id }: FindOneParams, @Body() commentData: CommentDto) { return this.commentsService.update(id, commentData); } // ... } |
We want our API to respond with a 404 Not Found error when the user tries to update a record marked as deleted.
comments.repository.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; import CommentModel from './comment.model'; import CommentDto from './comment.dto'; @Injectable() class CommentsRepository { constructor(private readonly databaseService: DatabaseService) {} async update(id: number, commentDto: CommentDto) { const databaseResponse = await this.databaseService.runQuery( ` UPDATE comments SET content = $2, post_id = $3 WHERE id = $1 AND deletion_date=NULL RETURNING * `, [id, commentDto.content, commentDto.postId], ); const entity = databaseResponse.rows[0]; if (!entity) { throw new NotFoundException(); } return new CommentModel(entity); } // ... } export default CommentsRepository; |
Restoring deleted entities
We might want to restore a deleted entity. Fortunately, this is very easy to achieve by setting the value in the deletion_date column to null.
comments.repository.ts
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import { Injectable, NotFoundException } from '@nestjs/common'; import DatabaseService from '../database/database.service'; @Injectable() class CommentsRepository { constructor(private readonly databaseService: DatabaseService) {} async restore(id: number) { const databaseResponse = await this.databaseService.runQuery( ` UPDATE comments SET deletion_date=NULL WHERE id = $1 RETURNING * `, [id], ); if (databaseResponse.rowCount === 0) { throw new NotFoundException(); } } // ... } export default CommentsRepository; |
Summary
In this article, we’ve gone through the idea of soft deletes and discussed their pros and cons. Soft deletes can help us achieve a good user experience associated with deleting entities and restoring them. But unfortunately, they come with the cost of the increased complexity of all of our SQL queries. Even though that’s the case, soft deletes have their use cases and might come in handy.