- 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
One of the most important things to care about as a web developer is the integrity of the data. In this article, we learn what a transaction is and how it can help us ensure that our data is correct.
The idea behind transactions
A transaction is a set of instructions that either happens entirely or doesn’t happen at all. To understand why we might need transactions, let’s use the most common example.
When transferring money from one bank account to another, two steps happen:
- we withdraw a certain amount of money from the first account,
- we add the same amount to the second account.
If the whole operation fails completely, that’s something relatively harmless. The worst scenario would be to perform just a part of the above steps. For example, if we withdraw the money from the first account but fail to add it to the second one, we break the integrity of our data. To prevent that, we can bundle multiple steps into a single unit of work, referred to as a transaction.
ACID properties
A valid transaction can be described using a few properties:
Atomicity
All of the operations in a transaction are a single unit. Therefore, it either succeeds entirely or fully fails.
Consistency
The transaction transitions the database from one valid state to another.
Isolation
Multiple transactions could occur concurrently without the risk of having an invalid state of the database. In our case, another transaction should see the funds in one bank account or the other, but not in both.
Durability
As soon as we commit the changes from the transaction, they should survive permanently.
Transactions in PostgreSQL
Fortunately, PostgreSQL gives us the tools to ensure all ACID properties. To create a transaction, we need to group a set of statements with BEGIN and COMMIT.
In the previous part of this series, we’ve defined a many-to-many relationship between categories and posts. First, let’s create a transaction that deletes a category and all of the posts within it.
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BEGIN; --Deleting posts that belong to a given category DELETE FROM post_entity WHERE id IN ( SELECT post_entity_id FROM post_entity_categories WHERE category_id = 1 ); --Disconnecting posts from categories DELETE FROM post_entity_categories WHERE category_id=1; --Deleting the category DELETE FROM category WHERE id=1; COMMIT; |
Thanks to using a transaction, if something goes wrong when deleting a category, PostgreSQL performs a rollback, and thanks to that, the posts are still intact.
We can also perform a rollback manually and abort the current transaction.
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BEGIN; DROP TABLE "post_entity_categories"; ROLLBACK; |
Thanks to using ROLLBACK, the post_entity_categories will never be dropped in the above transaction.
Transactions with MikroORM
MikroORM implements the unit of work pattern. Thanks to that, it batches queries out of the box.
In API with NestJS #62. Introduction to MikroORM with PostgreSQL, we’ve learned that we need to flush all of the changes we’ve made to our entities if we want the changes to be reflected in the database.
Flush Modes
A crucial thing to notice is that MikroORM supports a few flushing strategies.
database.module.ts
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import { Module } from '@nestjs/common'; import { ConfigModule, ConfigService } from '@nestjs/config'; import { MikroOrmModule } from '@mikro-orm/nestjs'; import { FlushMode } from '@mikro-orm/core/enums'; @Module({ imports: [ MikroOrmModule.forRootAsync({ imports: [ConfigModule], inject: [ConfigService], useFactory: (configService: ConfigService) => ({ flushMode: FlushMode.ALWAYS, // ... }), }), ], }) export class DatabaseModule {} |
With FlushMode.ALWAYS, MikroORM flushes before every query. Therefore, using it would prevent us from implementing transactions by delaying the flush.
With FlushMode.AUTO, MikroORM sometimes flushes implicitly, which might be a little surprising.
posts.service.ts
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async createPost(post: CreatePostDto, user: User) { const postData = { ...post, author: user, }; const newPost = await this.postRepository.create(postData); // creating a new post, but not flushing it yet this.postRepository.persist(newPost); // querying all of the current posts const allCurrentPosts = await this.postRepository.findAll(); const isNewPostPersisted = allCurrentPosts.some(post => { return post.id === newPost.id; }) console.log(isNewPostPersisted); // true return newPost; } |
Since we’ve queried all of the posts before flushing the newly created entity, MikroORM automatically flushed our changes for us.
The above behavior can sometimes get in the way of implementing transactions. Because of that, in this article, we use the FlushMode.COMMIT option that aims to delay the flush until the current transaction is committed.
database.module.ts
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import { Module } from '@nestjs/common'; import { ConfigModule, ConfigService } from '@nestjs/config'; import { MikroOrmModule } from '@mikro-orm/nestjs'; import { FlushMode } from '@mikro-orm/core/enums'; @Module({ imports: [ MikroOrmModule.forRootAsync({ imports: [ConfigModule], inject: [ConfigService], useFactory: (configService: ConfigService) => ({ flushMode: FlushMode.COMMIT, debug: configService.get('SHOULD_DEBUG_SQL'), // ... }), }), ], }) export class DatabaseModule {} |
We also use debug to investigate what queries MikroORM is performing.
Delaying flushing to implement transactions
Let’s start by making some adjustments to our PostsService:
posts.service.ts
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import { Injectable } from '@nestjs/common'; import { InjectRepository } from '@mikro-orm/nestjs'; import { EntityRepository } from '@mikro-orm/core'; import PostEntity from './post.entity'; import PostNotFoundException from './exceptions/postNotFound.exception'; @Injectable() export class PostsService { constructor( @InjectRepository(PostEntity) private readonly postRepository: EntityRepository<PostEntity>, ) {} async getPostById(id: number) { const post = await this.postRepository.findOne({ id, }); if (!post) { throw new PostNotFoundException(id); } return post; } async getPostsFromCategory(categoryId: number) { return this.postRepository.find({ categories: { id: categoryId, }, }); } async deletePost(id: number, withFlush = true) { const post = await this.getPostById(id); this.postRepository.remove(post); if (withFlush) { return this.postRepository.flush(); } } // ... } |
Now, our deletePost accepts an additional withFlush argument. Thanks to doing that, we can avoid flushing if we need to.
Let’s also make changes to our CategoriesService to use the above functionality.
categories.service.ts
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import { Injectable } from '@nestjs/common'; import CategoryNotFoundException from './exceptions/categoryNotFound.exception'; import { InjectRepository } from '@mikro-orm/nestjs'; import { EntityRepository } from '@mikro-orm/core'; import Category from './category.entity'; import { PostsService } from '../posts/posts.service'; import { EntityManager } from '@mikro-orm/postgresql'; @Injectable() export default class CategoriesService { constructor( @InjectRepository(Category) private readonly categoryRepository: EntityRepository<Category>, private readonly postsService: PostsService, private readonly entityManager: EntityManager, ) {} async getCategoryById(id: number) { const category = await this.categoryRepository.findOne({ id, }); if (!category) { throw new CategoryNotFoundException(id); } return category; } async deleteCategory(id: number, withFlush = true) { const category = await this.getCategoryById(id); this.categoryRepository.remove(category); if (withFlush) { return this.categoryRepository.flush(); } } async deleteCategoryWithPosts(categoryId: number) { const allPosts = await this.postsService.getPostsFromCategory(categoryId); for (const post of allPosts) { await this.postsService.deletePost(post.id, false); } await this.deleteCategory(categoryId); return this.entityManager.flush(); } // ... } |
The crucial part above is the deleteCategoryWithPosts function. It calls the postsService.deletePost(post.id, false) method on every post from the category, marking it for deleting without flushing.
Then, we also mark the category for deleting with the this.deleteCategory method.
A the end of the deleteCategoryWithPosts function, we used entityManager.flush. Thanks to doing that, we removed all the posts and categories that we marked for deleting. If an error occurs at any point of the transaction, MikroORM automatically rolls back all of the changes.
Using categoryRepository.flush() would have the same effect as entityManager.flush and would delete both posts and categories. We can use entityManager.flush to put an emphasis on the fact that we make changes not only to the categories.
Thanks to the fact that we’ve used the debug mode in MikroORM, we can take a look at the logs:
[query] select “p0”.* from “post_entity” as “p0” left join “post_entity_categories” as “p1” on “p0″.”id” = “p1″.”post_entity_id” where “p1″.”category_id” = 6 [took 2 ms]
[query] select “c0”.* from “category” as “c0” where “c0″.”id” = 6 limit 1 [took 1 ms]
[query] begin
[query] delete from “post_entity” where “id” in (36, 37, 38, 39, 40) [took 1 ms]
[query] delete from “category” where “id” in (6) [took 0 ms]
[query] commit
Above, we can see that removing posts and the category was performed in a single transaction.
Creating transactions explicitly
So far, we’ve been defining transactions implicitly. If we want to be more verbose, we can do that explicitly.
categories.service.ts
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async deleteCategoryWithPosts(categoryId: number) { const allPosts = await this.postsService.getPostsFromCategory(categoryId); return this.entityManager.transactional(async () => { for (const post of allPosts) { await this.postsService.deletePost(post.id, false); } await this.deleteCategory(categoryId); }); } |
When we use entityManager.transactional, MikroORM runs our callback inside a database transaction and flushes the changes at the end.
If we want to be even more explicit, we can manually begin, commit, and roll back a transaction.
categories.service.ts
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async deleteCategoryWithPosts(categoryId: number) { const allPosts = await this.postsService.getPostsFromCategory(categoryId); const forkedEntityManager = this.entityManager.fork(); await forkedEntityManager.begin(); try { for (const post of allPosts) { await this.postsService.deletePost(post.id, false); } await this.deleteCategory(categoryId); await forkedEntityManager.commit(); } catch (error) { forkedEntityManager.rollback(); throw error; } return this.entityManager.flush(); } |
The above is equivalent to the entityManager.transactional function. It forks the entity manager above to get a fresh entity manager with a new identity map.
Summary
In this article, we’ve gone through the idea of transactions and implemented them both through SQL and MikroORM. We’ve deleted a category and its post within a transaction. The above allowed us to prevent the posts from being deleted without removing the category. Thanks to doing that, we’ve dealt with the danger of losing the integrity of our database.