API with NestJS #32. Introduction to Prisma with PostgreSQL

API with NestJS #32. Introduction to Prisma with PostgreSQL. We learn the basics of Prisma and its main principles. We’ve been using TypeORM to manage our data and connect to our Postgres database. With Prisma, we describe our data using a Prisma schema file.

• 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

So far, in this series, we’ve been using TypeORM to manage our data and connect to our Postgres database. In this article, we look into Prisma, which is a capable alternative.

With Prisma, we describe our data using a Prisma schema file. It uses its own data modeling language and acts as a single source of truth. This differs from traditional ORMs that provide an object-oriented way of working with the database.

Every time we make changes to the schema file, we need to generate the Prisma client. In this process, Prisma parses our schema and creates a client along with all the TypeScript typings. This means that we no longer map SQL tables to model classes through the TypeScript code manually.

The Prisma client is a set of Node.js functions that we can call from within our code. Under the hood, the client connects to a query engine written in Rust.

Although it is possible to migrate from TypeORM to Prisma, in this aricle we set up our project from scratch.

You can find all of the code from this article in  this repository.

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