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Setting up a GraphQL server in node.js

I recently needed to create a GraphQL schema quickly and decided to create this quick guide to help me next time I needed to do something similar GraphQL GraphQL  provides an entirely different paradigm from REST APIs. Rather than needing to write a different endpoint / controller to return different data, GraphQL provides clients the opportunity to specify the data they want. GraphQL then returns the specificly request datasets. Schema Here is a sample GraphQL schema containing and organisation and a user Sample Data Sample data is created using in JSON format Root Value The following value accessors are required to retrieve data from the server Starting up the server Here is how the GraphQL server is setup with a node.js express app.
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Modifying GraphQL Schema in AWS Amplify

Have you ever created a sample AWS Amplify application and wanted to extend the DynamoDB database schema ? This post explains how to add a single owner parameter to the schema definition and any pitfalls that you may experience AWS Amplify AWS Amplify provides the authentication, Graph API, serverless and CI/CD capabilities in an easy to use format. This post assumes knowledge of these AWS services and that you have created a sample react notes app from the example here   Adding Owner Column To add the owner column to the model, update the amplify/backend/api/reactamplified/schema.graphql file as follows and add the following authentication information   Execute an amplify push command and ensure that the API is deployed successfully Fix Cognito User Pool Error If you receive the following error: @auth directive with 'userPools' provider found, but the project has no Cognito User Pools authentication provider configured.  Execute the command amplify update api and upda...

Accessing User AWS Cognito Authentication Parameters in a React Application

Have you ever been interested in adding user authentication information to a React application using AWS Cognito ? This post demostrates how to display this information using the AWS Cognito service bundled with AWS Amplify  AWS Cognito and Amplify AWS Amplify  provides the ability to build a full stack web application using JWT authentication with OAuth  using an AWS Cognito User Pool. Once you have created a basic application using AWS amplify, enter the following code to retrieve authentication information Available Parameters The Cognito Auth API returns a number of parameters, that can be used for display in a React application, or even used as a key in a Dynamo database Cognito User Pool A summary of the user pool can be seen by clicking on the user pool from the link below. Ensure you set the right region to see the correct application. The console shows the number of users, and provides the ability to import / create users manually, add users to group, reset ...

Executing multiple HTTP requests in parallel using a nonblocking RESTful API in Java

Have you ever wanted to perform multiple HTTP requests in Java in parallel and wondered how to execute them in a non blocking fashion ? In this post we are going to explain how to execute them using a nonblocking RESTful API controller using the Spring WebFlux (Netty) framework with WebClient, based on Project Reactor Nonblocking REST controller It is necessary to use the Flux<> type to signify there is a list of items in the response Spring Webflux Client In our example, the Spring Webflux client returns a single string which represents an XML value. It uses a reactive stream using the Mono<> type. Its value is mapped to an object using Jackson. The three HTTP calls are then merged using the Flux.merge statement Performance Comparison The link below compares the performance of API requests performed using the Spring Webflux framework with WebClient versus DeferredResult or CompletableFuture with Servlet and a Blocking HTTP call with servlet https:/...

Unit testing async pipes in deeply nested Angular components

Have you ever tried to use async pipes  in your Angular application and wondered how to unit test them ? In this post we are going to explain how to unit test them in deeply nested smart components typically used in large scale Angular applications. If you are looking to learn more about async pipes and how to use them with deeply nested smart components, have a look at the post "Angular OnPush Change Detection and Component Design - Avoid Common Pitfalls" Data service First, lets create a data service that sets up an rxjs observable and subject that we will use in the application Front end Next, lets create a front end page with the ability to fire immutable visibility changed and reset events, along with the ability to show content depending on the state of the async pipe. Unit testing Component Host It is necessary to wrap the component in a host component to facilitate unit testing async pipes. Click the following github issue report to discover ...