Redis VS Prisma

To make data retrieval efficient and minimize the need to request data from the API on every page load, I implemented a caching strategy using the ioredis package, which is a popular redis client for Node.js for interacting with a Redis database.

5. ioredis

These are the objects I pass to ioredis to create my Redis instances (one for sessions and one as the main one):

In order to try and mitigate the OOMs. I read the Background Jobs in Node.JS with Redis blog post and implemented Heroku Data For Redis with ioredis, BullMQ and Throng,

Redis.Redis and Redis.Cluster at the end of the rule actually refer to the ioredis constructors, so to set them up, we must use the ioredis constructors.

ioredis is a popular Node.js client, providing a robust support for Redis Cluster.

To connect to Redis from your application, you will need a library that can perform that for you (Otherwise you have to reinvent the wheel). While I've been using IORedis for a nodeJS application in this demo, if you have been using a different language, you will have to look for different connectors like Lettuce for Java or perhaps go-redis for Go.

The Redis client I'm going to use today is ioredis, because its API is intuitive, very robust and with good performance.

Just create your own wrapper service around one of the existing nodejs redis clients, I used the following client https://github.com/luin/ioredis

Support for a Union type #2505

generator client { provider = "prisma-client-js" binaryTargets = ["native", "rhel-openssl-1.0.x"] } datasource db { provider = "postgresql" // NOTE: When using mysql or sqlserver, uncomment the @db.Text annotations in model Account below // Further reading: // https://next-auth.js.org/adapters/prisma#create-the-prisma-schema // https://www.prisma.io/docs/reference/api-reference/prisma-schema-reference#string url = env("DATABASE_URL") } model Post { id Int @id @default(autoincrement()) name String createdAt DateTime @default(now()) updatedAt DateTime @updatedAt createdBy User @relation(fields: [createdById], references: [id]) createdById String @@index([name]) } // ... rest of the schema

Unfortunately Prisma hasn’t supported polymorphism yet. As such, you can't use inheritance to model the entity in the same way as in your programming language, as depicted in the above class diagram. The good news is that we could intimate it using table inheritance to imitate it.

In this project I am manually declaring the data types. For better type-safety, use Prisma, which automatically generates types based on your database schema.

When you're creating a full-stack application, you'll also need to write logic to interact with your database. For relational databases like Postgres, you can do this with SQL, or an ORM like Prisma.

Prisma is a modern TypeScript-first ORM that allows you to manage database schemas easily, make queries and mutations with great flexibility, and ensure excellent type safety.

Prisma

There have been multiple feature requests to add native support for AsyncLocalStorage to Prisma, but they haven't been met with much enthusiasm from the maintainers. Some people solved it by extending and overriding the client (which is arguably prone to breaking with updates).

The DSL experience comes naturally to us as we have witnessed how well-designed language can greatly simplify programming tasks. We know it is challenging but not as difficult as many may feel. Therefore, we chose the schema-first design to create ZenStack toolkit on top of Prisma ORM that leverages code generation to significantly reduce the code developers need to write and make them move a lot faster.