Build Full-Stack Apps with GraphQL, Prisma, Node and React

The entire collection of these data types is referred to as your data model. Once your data model is defined in SDL, Prisma translates it into an according databaseschema and sets up the underlying database accordingly. ... Previously you learned that all GraphQL APIs are backed by a GraphQL schema.

In this video, will setup GraphQL server with Prisma.

Variables allow you to dynamically replace configuration values in your service definition file prisma.yml.

To use variables inside prisma.yml, you need to reference the values enclosed in ${} brackets. Inside the brackes, you first need to specify the variable source and the variable name, separated by a colon.

You can reference environment variables inside the service definition file.

When using an environment variable, the value that you put into the bracket is composed of:

• the prefix env:

• the name of the environment variable

The data model is the foundation for the GraphQL API of your Prisma service. Based on the data model, Prisma will generate a powerful GraphQL schema (called Prisma database schema) which defines CRUD operations for the types in the data model.

The Prisma API offers two kinds of queries:

• Object queries: Fetch single or multiple nodes of a certain object type

• Connection queries: Expose advanced features like aggregations and Relay compliant connections enabling a powerful pagination model

When working with the Prisma API, the following features are also useful to keep in mind:

• Hierarchical queries: Fetch data across relations

• Query arguments: Allow for filtering, sorting, pagination and more

In general, the Prisma API of a service is generated based on its data model. To explore the operations in your Prisma API, you can use a GraphQL Playground.

The Prisma API offers

• Simple mutations: Create, update, upsert and delete single nodes of a certain object type

• Batch mutations: Update and delete many nodes of a certain model

• Relation mutations: Connect, disconnect, create, update and upsert nodes across relations

In general, the Prisma API of a service is generated based on its data model. To explore the operations in your Prisma API, you can use a GraphQL Playground.

In this video, we are going to create react application using create-react-app cli

React Apollo. React Apollo allows you to fetch data from your GraphQL server and use it in building complex and reactive UIs using the React framework. React Apollo may be used in any context that React may be used. In the browser, inReact Native, or in Node.js when you want to do server-side rendering.

To connect Apollo Client to React, you will need to use the ApolloProvider component exported from react-apollo. The ApolloProvider is similar to React’s context provider. It wraps your React app and places the client on the context, which allows you to access it from anywhere in your component tree.

In index.js, let’s wrap our React app with an ApolloProvider. We suggest putting the ApolloProvidersomewhere high in your app, above any places where you need to access GraphQL data. For example, it could be outside of your root route component if you’re using React Router.

Fetching data in a simple, predictable way is one of the core features of Apollo Client. In this guide, you’ll learn how to build Query components in order to fetch GraphQL data and attach the result to your UI. You’ll also learn how Apollo Client simplifies your data management code by tracking error and loading states for you.

This page assumes some familiarity with building GraphQL queries. If you’d like a refresher, we recommend reading this guide and practicing running queries in GraphiQL. Since Apollo Client queries are just standard GraphQL, you can be sure that any query that successfully runs in GraphiQL will also run in an Apollo Query component.

The term “render prop” refers to a simple technique for sharing code between React components using a prop whose value is a function.

HTML form elements work a little bit differently from other DOM elements in React, because form elements naturally keep some internal state

Now that we’ve learned how to fetch data with Apollo Client, what happens when we need to update that data? In this guide, you’ll discover how to build Mutation components in order to send updates to your GraphQL server. You’ll also learn how to update the Apollo cache after a mutation occurs and how to handle errors when things go wrong.

Sometimes when you perform a mutation, your GraphQL server and your Apollo cache become out of sync. This happens when the update you’re performing depends on data that is already in the cache; for example, deleting and adding items to a list. We need a way to tell Apollo Client to update the query for the list of items. This is where the update function comes in! update functions aren’t required to update the cache for all mutations, but our addTodo mutation is an example of where it comes in handy.

The update function is called with the Apollo cache as the first argument. The cache has several utility functions such as cache.readQuery and cache.writeQuery that allow you to read and write queries to the cache with GraphQL as if it were a server. There are other cache methods, such as cache.readFragment, cache.writeFragment, and cache.writeData, which you can learn about in our detailed caching guide if you’re curious.

React Router is the standard routing library for React. From the docs: “React Router keeps your UI in sync with the URL. It has a simple API with powerful features like lazy code loading, dynamic route matching, and location transition handling built right in.

A card is a flexible and extensible content container. It includes options for headers and footers, a wide variety of content, contextual background colors, and powerful display options. If you’re familiar with Bootstrap 3, cards replace our old panels, wells, and thumbnails. Similar functionality to those components is available as modifier classes for cards.

In this video, we will write Query for single record. I will you how to fetch single record in React component

In this video, I will show you how to edit record in React Component. We will use Mutation component to update the record

In this video, I will show you how to delete the record. We will use Apollo Mutation to delete the record

In this video, we will restructure the resolvers into separate directory. I will create a separate File for Mutation, Query and Subscription

In this video, we will implement the signup feature. A user can create new account

In this video, we will implement the login feature. A user can login to his or her account

We will protect our resolvers in graphQL. I will implement JWT authentication in GraphQL and Prisma

In this video, we will send the login request from frontend application. After successfully loggedIn we will save the token in LocalStorage

In this video, you will be able to learn how to implement logout user feature in prisma and React Apollo application

In this video, we will protect our routes in React Router. I will use external package to implement require authentication

In this video, We will implement the Signup feature in React, apollo client Application.

Protected routes are an important part of any web application. In this post we’ll break down the “Redirects (Auth)” example on the React Router documentation to learn how to create authenticated routes (routes that only certain users can access based on their authentication status) using React Router.

In this video, We will create a separate component to handle the Errors in React Application

In this video, we will display a spinner for loading data in React Application

When querying all nodes of a specific object type, you can supply arguments that allow you to paginate the query response.

Pagination allows you to request a certain amount of nodes at the same time. You can seek forwards or backwards through the nodes and supply an optional starting node:

• to seek forwards, use first; specify a starting node with after.

• to seek backwards, use last; specify a starting node with before.

Object queries directly return a list of nodes. In special cases, or when using advanced features, using connection queriesis the preferred option. They are an extension of (and fully compliant with) Relay connections. The core idea of Relay connections is to provide meta-information about the edges in the data graph. For example, each edge not only has access to information about the corresponding object (the node) but also is associated with a cursor that allows to implement powerful pagination.

In this video, We will create a pagination component in React. I will show you how to add pagination controls in React Application

In this video, we will send pagination request to backend prisma graphql server. We have to display specific list of records in the component

When querying all nodes of a type you can supply different parameters to the where argument to constrain the data in the response according to your requirements. The available options depend on the scalar and relational fields defined on the type in question.

In this video, we will create search course component. A user will be able to search the records. We will implement the search functionality in this course

In this video, we will send the search request from the frontend application to prisma GraphQL server.

When querying all nodes of a type you can supply the orderBy argument for every scalar field of the type: orderBy: <field>_ASC or orderBy: <field>_DESC.

Sometimes when you perform a mutation, your GraphQL server and your Apollo cache become out of sync. This happens when the update you’re performing depends on data that is already in the cache; for example, deleting and adding items to a list. We need a way to tell Apollo Client to update the query for the list of items. This is where the update function comes in! update functions aren’t required to update the cache for all mutations, but our addTodo mutation is an example of where it comes in handy.

The update function is called with the Apollo cache as the first argument. The cache has several utility functions such as cache.readQuery and cache.writeQuery that allow you to read and write queries to the cache with GraphQL as if it were a server. There are other cache methods, such as cache.readFragment, cache.writeFragment, and cache.writeData, which you can learn about in our detailed caching guide if you’re curious.

Sometimes when you perform a mutation, your GraphQL server and your Apollo cache become out of sync. This happens when the update you’re performing depends on data that is already in the cache; for example, deleting and adding items to a list. We need a way to tell Apollo Client to update the query for the list of items. This is where the update function comes in! update functions aren’t required to update the cache for all mutations, but our addTodo mutation is an example of where it comes in handy.

The update function is called with the Apollo cache as the first argument. The cache has several utility functions such as cache.readQuery and cache.writeQuery that allow you to read and write queries to the cache with GraphQL as if it were a server. There are other cache methods, such as cache.readFragment, cache.writeFragment, and cache.writeData, which you can learn about in our detailed caching guide if you’re curious.

Let’s say we have an “edit comment” mutation, and we want the UI to update immediately when the user submits the mutation, instead of waiting for the server response. This is what the optimisticResponseparameter to the mutate function provides.

The main way to get GraphQL data into your UI components with Apollo is to use a query, so if we want our optimistic response to update the UI, we have to make sure to return an optimistic response that will update the correct query result. Learn more about how to do this with the dataIdFromObject option.

Heroku is one of the most popular PaaS providers used by developers to deploy their apps. With the new Prisma Cloud integration, you can now deploy Prisma to Heroku with one click.

There’s no doubt Heroku is popular infrastructure platform. Times of running your own dedicated server are not gone but for development and low volume purposes using services like Heroku does make a lot of sense.

Recently I worked on React frontend for cool gaming startup, and yes, they used Heroku for servers. It was interesting to explore Heroku since my experience is mostly with Amazon AWS and dedicated servers.