Nestjs Graphql Tools
NestJS Graphql Tools is a flexible solution that provides a bunch of decorators for solving problems like n+1 request, filtering, sorting, pagination, polymorphic relation, graphql field extraction. It is fully based on decorators. To use it you can just add a decorator to your resolver.
Overview
This library significantly enhances the process of building efficient GraphQL APIs, specifically addressing the common challenges posed by the n+1 problem. It enables developers to create powerful search interfaces akin to Hasura with minimal dependencies. By leveraging decorators, the library offers flexibility and complete control over API queries, making it easier than ever to implement complex types and relationships within your GraphQL services.
The functionality it provides extends beyond basic queries, guiding users through pagination and filtering options, as well as implementing polymorphic relations with ease. This robust set of features allows developers to customize their GraphQL experience to fit their unique needs, ensuring they can build high-performance applications with confidence.
Features
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Efficient N+1 Problem Solver: Integrates a Data Loader that minimizes the n+1 query problem, streamlining data fetching across your API.
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Decorator-based Approach: Utilize decorators such as
@GraphqlLoader()and@Filter()for a clean and intuitive way to handle data loading and filtering. -
Polymorphic Relationships: Easily manage complex data structures with support for polymorphic relations, allowing for richer data models.
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Advanced Filtering: Offers comprehensive filter options that resemble Hasura's interface, supporting a wide range of operators like eq, neq, and between, as well as custom filtering logic.
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Flexible Sorting Options: Provides robust sorting functionalities, including support for ASC/DESC and NULLS FIRST/LAST arrangements to facilitate better data presentation.
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Pagination Control: Enables efficient pagination with straightforward decorators, ensuring that data can be fetched in manageable chunks.
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Raw Filters Capability: Access raw filter values directly through the code to create bespoke filter interpreters tailored to specific project requirements.
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Customizable DTO Inheritance: Supports inheritance for data transfer objects, simplifying the development of complex models while maintaining a clean architecture.
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