Extend Prisma's findMany method to support Relay Cursor Connections for GraphQL pagination.
prisma-relay-cursor-connection is a TypeScript library that extends Prisma's `findMany` method to support Relay Cursor Connections. It solves the problem of implementing standardized, cursor-based pagination in GraphQL APIs that use Prisma as their ORM, providing a type-safe and efficient way to handle pagination queries.
Backend developers building GraphQL APIs with Prisma ORM who need to implement Relay-compliant cursor pagination. It's particularly useful for teams adopting the Relay specification for their GraphQL schemas.
Developers choose this library because it provides a battle-tested, type-safe implementation of Relay pagination specifically designed for Prisma, eliminating boilerplate and reducing the risk of pagination bugs. Its seamless integration with Prisma's type system and support for custom cursors offer flexibility without sacrificing reliability.
Extend Prisma's findMany method to support Relay Cursor Connections
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Fully typed with Prisma's FindManyArgs, ensuring compile-time safety for queries and results, as demonstrated in the usage examples where type errors are caught for missing fields.
Implements the Relay Cursor Connections specification with support for first, last, before, and after arguments, providing a standardized and interoperable pagination interface for GraphQL APIs.
Supports custom cursors, compound indices, and extending edges/nodes with additional fields while maintaining type inference, shown in the custom cursors and edges sections with configurable options.
Can leverage GraphQL resolve information to skip unnecessary Prisma queries for fields not requested, optimizing data fetching and reducing database load in GraphQL resolvers.
The library does not automatically enforce limits on first/last arguments; developers must manually add checks to prevent users from reading too many resources, as highlighted in the usage section requiring custom validation.
Tightly coupled with Prisma ORM, making it incompatible with other database layers or ORMs, which limits adoption in diverse tech stacks and adds vendor lock-in risks.
Implementing custom cursors requires additional configuration for encoding and decoding logic, which can be cumbersome and error-prone, as seen in the examples needing manual base64 and JSON handling.