![]() ![]() The TypeScript compiler will catch cases where you accidentally access a field that was not returned from the query.If you select the Generated Type tab in the code snippet above, you see that the type of the resulting userData constant is now tailored to the fields that are selected in the query. Prisma especially starts to shine when it's used in a TypeScript application as it provides extremely strong type-safety guarantees.įor example, consider this query where we specify via the select option which fields of the User model (and its relations) should be returned in the response: This means that when a User document is deleted, all the Post documents that were related to it are deleted as well. In the data model above, the attribute on the author field uses onDelete: Cascade. Prisma "polyfills" this functionality and allows developers to configure these in the Prisma schema and can therefore can contribute to the referential integrity of the data in your MongoDB database. MongoDB doesn't natively support referential actions (i.e. Cascading deletes/updates on reference-based relations Prisma also allows you to fall back to MongoDB's native query API when you need to run more specialized queries against your MongoDB instance. One of the main differences between the two is that Prisma Client is aware of the schema you define, so it can help you write your queries via auto-completion. Similar to MongoDB, Prisma also provides a database client that you can use to query your MongoDB database: Prisma Client. In the schema example above, you see a one-to-many relation from User to Post via a reference as well as the Profile type which represent an embedded document on the User model. ![]() Prisma's data model makes it particularly easy to work with relations. Prisma schemas are written in Prisma's intuitive and human-readable modeling language, here's what an example looks like: All team members are aware of the data stored inside of MongoDB.The consistency of the data stored in MongoDB is ensured by Prisma.The data structures inside of MongoDB become explicit.With Prisma, developers can easily define a schema for the data that they want to store in MongoDB. Node.js developers love MongoDB for the flexibility it provides and a familiar JSON-based data model! However, being a schemaless database means that MongoDB users can easily run into data inconsistencies as their projects start to evolve and grow in size. No more data inconsistencies thanks to the Prisma schema Using both technologies together makes developers more productive and allows them to ship more ambitious software faster. It allows you to combine data from two collections and return the results in a single document.Support for MongoDB has been one of the most requested features since the initial release of the Prisma ORM. The $lookup operator is used to perform a left outer join on two collections. However, there are still ways to achieve similar functionality in MongoDB by using the $lookup and $unwind operators. Unlike traditional SQL databases, MongoDB does not support the use of JOINS to combine data from multiple collections. MongoDB is a popular NoSQL database that stores data in a document-based format. ![]()
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