RTK Query Basics: Query Endpoints, Data Flow and TypeScript

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Learn how to efficiently fetch and cache data in React applications using RTK Query. Simplify your codebase and improve performance with auto-generated hooks and an application-global API cache. This course covers setting up RTK Query, fetching data from live endpoints, refactoring code for code duplication, converting to TypeScript, and understanding data fetching behavior with Redux Devtools.

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Almost every React application needs to fetch data from a server and cache the result between renders.

Traditionally, in-memory API Caching is something that has been done in React applications either on a per-component-level, which lead to application state running out of sync, or using a global state like Redux, which required a lot of hand-written code.

RTK Query is part of the official Redux Toolkit and provides an application-global API cache that abstracts most of that hand-written code away, leading to a lot more readable code bases.

It also offers a lot of advanced features like auto-generated hooks

In this course, you will learn about

Course Content

Course Introduction and Application Walk through for RTK Query Basics

Set up RTK Query with createAPI and ApiProvider that Serve Fake Data

Fetch Data from a Live Endpoint with RTK Query

Pass Query Arguments to RTK Query Hooks

Refactor RTK Query Endpoints to use baseQuery to Remove Code Duplication

Refactor baseQuery to use RTK Query fetchBaseQuery

Convert a RTK Query Application to TypeScript

Explore Redux Devtools to Understand Your RTK Query App Data Fetching Behavior

Refactor RTK Query to Use a Normal Redux Toolkit Store

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    RTK Query Basics: Query Endpoints, Data Flow and TypeScript
    RTK Query Basics: Query Endpoints, Data Flow and TypeScript
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