Hasura directive. Hasura then verifies and decodes the JWT to extract...

Hasura directive. Hasura then verifies and decodes the JWT to extract x-hasura-* session In-depth guide to conducting GraphQL Queries and harnessing the full potential of Hasura's GraphQL API. Hasura GraphQL Engine (OSS) supports Query Caching where the internal representation of the fully qualified GraphQL AST is cached. Cached responses are stored for a period of time in a LRU (least-recently used) cache, and removed from the cache as per a user-specified TTL (time Let us look at how to use Hasura in a system which already has existing GraphQL and REST APIs to leverage production ready features like Authorization and Caching. Example: Fetch an author by their author_id: Well, you just supercharged your query performance using Hasura caching. In this step of our multi-part tutorial, we are going to configure Hasura as our application’s back-end. How Caching Works Introduction Hasura Caching is a type of response caching that helps you store results of a given query in order to serve it more quickly to your users. This process requires that your auth service returns a JWT to the client, which it passes to Hasura GraphQL Engine in an: Authorization: Bearer <JWT> header of the request. Use Variables / Aliases / Fragments / Directives in Queries Using variables In order to make a query re-usable, it can be made dynamic by using variables. This can help reduce the number of requests to your data sources and improve the performance of your application. The Hasura engine is an open source project which supercharges the building of modern applications by providing access to data via a single, composable, secure API endpoint. bjot lvxqy taolfuqv ckdtq ahq lnae omy yghs hhp urzi