- 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
Sometimes, in our application, we would like to define a specific duration of time. We could represent it as a number of seconds, for example. However, we might want to be more flexible and be able to use various units, such as minutes, hours, days, or weeks. In this article, we learn how to achieve that with PostgreSQL and the Drizzle ORM using intervals.
Defining an interval
Fortunately, the Drizzle ORM supports the interval column type built into PostgreSQL. Let’s use it.
database-schema.ts
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import { serial, text, pgTable, interval } from 'drizzle-orm/pg-core'; export const food = pgTable('food', { id: serial('id').primaryKey(), name: text('name'), expiryAfterOpening: interval('expiry_after_opening'), }); export const databaseSchema = { food, }; |
Validating input data
We must ensure users use the correct data format before letting them add rows to our new table. ISO 8601 is a popular format for dates and time-related data. An interval defined with ISO 8601 starts with the letter P followed by the interval value. The letter T separates the date from the time.
An example of a valid ISO interval is P2Y3M4DT5H6M7S.
Years | Y |
Months / Minutes | M |
Weeks | W |
Days | D |
Hours | H |
Seconds | S |
We can use the M letter either to indicate minutes or months depending on whether we use it before or after T.
The table above shows that P2Y3M4DT5H6M7S means 2 years, 3 months, 4 days, 5 hours, 6 minutes, and 7 seconds.
Let’s validate the data users send through our API before putting it into our database. Unfortunately, JavaScript does not support ISO intervals out of the box. We can use a date library such as Luxon to create a custom validator with the class-validator library to address this.
IsIsoInterval.ts
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import { ValidationArguments, ValidatorConstraint, ValidatorConstraintInterface, } from 'class-validator'; import { Duration } from 'luxon'; @ValidatorConstraint() export class IsIsoInterval implements ValidatorConstraintInterface { validate(value: unknown) { if (typeof value !== 'string') { return false; } const interval = Duration.fromISO(value); return interval.isValid; } defaultMessage({ property }: ValidationArguments) { return `${property} must be a valid ISO duration`; } } |
We can now use the custom validator in our DTO.
CreateFood.dto.ts
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import { IsString, IsNotEmpty, Validate } from 'class-validator'; import { IsIsoInterval } from './IsIsoInterval'; export class CreateFoodDto { @IsString() @IsNotEmpty() name: string; @IsString() @IsNotEmpty() @Validate(IsIsoInterval) expiryAfterOpening: string; } |
This approach allows us to respond with the 400 Bad Request status if the user provides an invalid interval.
Interval formats built into PostgreSQL
Let’s make an HTTP request and create a row in our table.
postgres
The database returned the interval in a format different than ISO. By default, PostgreSQL represents the intervals using a format called postgres. We can check that out by looking at the IntervalStyle value.
The postgres format explicitly specifies years, months, and days followed by the time in the hh:mm:ss format.
We use ::INTERVAL to convert a string to an interval.
We can go a step further and specify microseconds, milliseconds, weeks, decades, centuries, or even millennia. Moreover, we can use the - sign to negate a part of the value.
Alternatively, we can use the ago keyword to negate all parts of the date to achieve a negative interval.
postgres_verbose
Another format is postgres_verbose, where hh:mm:ss is replaced with hours, minutes, and seconds stated explicitly. To change IntervalStyle to postgres_verbose in a particular session, we need to run the SET IntervalStyle = 'postgres_verbose' command in our PostgreSQL database.
In postgresql_verbose, the same rules apply when dealing with negative intervals as with the postgres format.
sql_standard
Alternatively, PostgreSQL also supports the sql_standard interval output format. When we use it, PostgreSQL outputs the intervals using the SQL standard.
It starts with the years and months separated by a dash, followed by the number of days and the time separated by spaces.
To create a negative interval, we must use the - sign instead of + next to every section we want to negate.
iso_8601
Fortunately, we can also use the ISO 8601 format, which we explained at the beginning of our article. To change the interval format in our database permanently for all database connections, we need to run the following command
1 |
ALTER DATABASE nestjs SET IntervalStyle = 'iso_8601'; |
where nestjs is the name of our database. Once we do that, PostgreSQL starts using the ISO format for intervals.
To define a negative interval, we must use the - sign before every part of our interval that we want to negate.
Working with intervals
Thanks to changing the interval format in our database to iso_8601 permanently, it also affects our Drizzle ORM queries.
While Drizzle ORM queries the interval as a simple string, we can use Luxon to parse it and interact with it.
food.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'; import { UpdateFoodDto } from './dto/update-food.dto'; import { Duration } from 'luxon'; @Injectable() export class FoodService { constructor(private readonly drizzleService: DrizzleService) {} async decreaseExpirationByOneDay(id: number) { const food = await this.getById(id); const interval = Duration.fromISO(food.expiryAfterOpening); const newInterval = interval.minus({ days: 1 }); await this.update(id, { expiryAfterOpening: newInterval.toISO(), }); } async getById(id: number) { const foodResults = await this.drizzleService.db .select() .from(databaseSchema.food) .where(eq(databaseSchema.food.id, id)); const food = foodResults.pop(); if (!food) { throw new NotFoundException(); } return food; } async update(id: number, food: UpdateFoodDto) { const updatedFoods = await this.drizzleService.db .update(databaseSchema.food) .set({ name: food.name, expiryAfterOpening: food.expiryAfterOpening, }) .where(eq(databaseSchema.food.id, id)) .returning(); if (updatedFoods.length === 0) { throw new NotFoundException(); } return updatedFoods.pop(); } } |
For example, in the decreaseExpirationByOneDay method, we decrease the expiration interval by one day. To do that, we used the minus method built into Luxon. If you want to know more about how you can interact with intervals with Luxon, check out the official documentation.
Functions and operators in PostgreSQL
PostgreSQL allows us to perform various operations with intervals. For example, we can subtract them from dates.
We can also add and subtract intervals from each other.
Additionally, we can use math to multiply and divide the intervals.
Summary
In this article, we explored the interval data type in PostgreSQL and learned how to use it with Drizzle ORM. To do that, we had to get familiar with various interval formats built into PostgreSQL. Additionally, we used the Luxon library to implement validation in our API and to interact with the intervals in our TypeScript code. Thanks to combining the intervals functionality built into PostgreSQL with Luxon’s date and time handling, we were able to manage the interval data effectively.