// Inline resolvers (stored as assets) api.createResolver('QueryGetPostJS', typeName: 'Query', fieldName: 'getPost', code: Code.fromAsset(path.join(__dirname, 'resolvers/Query.getPost.js')), runtime: FunctionRuntime.JS_1_0_0, );
Enter the .
Use paths filters to trigger the pipeline only when relevant files change. However, for AppSync, even a change to a single resolver .js file changes the API behavior, so always run the full integration test suite. The Secret Sauce: Generated Types for Everything The unification shines when you add code generation . From Schema to Data Sources Use @graphql-codegen/cli to generate TypeScript types for your Lambda resolvers : appsync unified repo
export function response(ctx) return ctx.result; // Inline resolvers (stored as assets) api
Introduction In the modern cloud development landscape, AWS AppSync has emerged as a powerhouse for building GraphQL APIs. It handles real-time subscriptions, offline synchronization, and complex data sourcing (DynamoDB, Lambda, RDS, HTTP) with remarkable ease. However, as teams scale from "proof of concept" to "production enterprise," a critical question emerges: Where do you put all the code? The Secret Sauce: Generated Types for Everything The
// Attach resolver getPostDs.createResolver('QueryGetPostResolver', typeName: 'Query', fieldName: 'getPost', );