About Me
React
1 Introduction to React
1-1 What is React?
1-2 History and Evolution of React
1-3 Key Features of React
1-4 Setting Up the Development Environment
2 JSX and Components
2-1 Introduction to JSX
2-2 Writing JSX Syntax
2-3 Creating Components
2-4 Functional vs Class Components
2-5 Props and State
3 React State Management
3-1 Understanding State
3-2 Managing State in Functional Components
3-3 Managing State in Class Components
3-4 Lifting State Up
3-5 Context API
4 React Hooks
4-1 Introduction to Hooks
4-2 useState Hook
4-3 useEffect Hook
4-4 useContext Hook
4-5 Custom Hooks
5 React Router
5-1 Introduction to React Router
5-2 Setting Up React Router
5-3 Route, Link, and NavLink
5-4 Nested Routes
5-5 Programmatic Navigation
6 Handling Events in React
6-1 Introduction to Events
6-2 Handling Events in Functional Components
6-3 Handling Events in Class Components
6-4 Synthetic Events
6-5 Event Bubbling and Capturing
7 Forms and Controlled Components
7-1 Introduction to Forms in React
7-2 Controlled Components
7-3 Handling Form Submission
7-4 Form Validation
7-5 Uncontrolled Components
8 React Lifecycle Methods
8-1 Introduction to Lifecycle Methods
8-2 Component Mounting Phase
8-3 Component Updating Phase
8-4 Component Unmounting Phase
8-5 Error Handling
9 React and APIs
9-1 Introduction to APIs
9-2 Fetching Data with useEffect
9-3 Handling API Errors
9-4 Caching API Responses
9-5 Real-time Data with WebSockets
10 React Performance Optimization
10-1 Introduction to Performance Optimization
10-2 React memo and PureComponent
10-3 useCallback and useMemo Hooks
10-4 Lazy Loading Components
10-5 Code Splitting
11 React Testing
11-1 Introduction to Testing in React
11-2 Writing Unit Tests with Jest
11-3 Testing Components with React Testing Library
11-4 Mocking Dependencies
11-5 End-to-End Testing with Cypress
12 Advanced React Patterns
12-1 Higher-Order Components (HOC)
12-2 Render Props
12-3 Compound Components
12-4 Context and Provider Pattern
12-5 Custom Hooks for Reusability
13 React and TypeScript
13-1 Introduction to TypeScript
13-2 Setting Up TypeScript with React
13-3 TypeScript Basics for React
13-4 TypeScript with Hooks
13-5 TypeScript with React Router
14 React and Redux
14-1 Introduction to Redux
14-2 Setting Up Redux with React
14-3 Actions, Reducers, and Store
14-4 Connecting React Components to Redux
14-5 Middleware and Async Actions
15 React and GraphQL
15-1 Introduction to GraphQL
15-2 Setting Up GraphQL with React
15-3 Querying Data with Apollo Client
15-4 Mutations and Subscriptions
15-5 Caching and Optimistic UI
16 React Native
16-1 Introduction to React Native
16-2 Setting Up React Native Development Environment
16-3 Building a Simple App
16-4 Navigation in React Native
16-5 Styling and Animations
17 Deployment and Best Practices
17-1 Introduction to Deployment
17-2 Deploying React Apps to GitHub Pages
17-3 Deploying React Apps to Netlify
17-4 Deploying React Apps to AWS
17-5 Best Practices for React Development
Caching and Optimistic UI Explained

Caching and Optimistic UI Explained

Key Concepts

Caching

Caching is a technique used to store and reuse previously fetched data to reduce the number of network requests and improve application performance. By storing data in a cache, subsequent requests for the same data can be served faster, reducing latency and load on the server.

Optimistic UI

Optimistic UI is a pattern where the user interface updates immediately to reflect the expected result of a user action, even before the server confirms the action. This creates a responsive user experience by reducing perceived latency. If the server response indicates failure, the UI can rollback to its previous state.

Cache Invalidation

Cache invalidation is the process of removing or updating cached data when it becomes outdated or stale. Proper cache invalidation ensures that users receive the most up-to-date information, avoiding discrepancies between the cache and the server.

Stale-While-Revalidate

Stale-While-Revalidate is a cache strategy where the cache serves stale data immediately if available, while simultaneously revalidating the data in the background. This approach provides a balance between speed and data freshness.

Cache Policies

Cache policies define the rules and conditions under which data is cached and when it should be invalidated. Common policies include time-based expiration, usage-based expiration, and context-based expiration.

Optimistic Updates

Optimistic updates involve updating the UI immediately after a user action, assuming the action will succeed. This pattern improves perceived performance by reducing the time users wait for a response.

Rollback on Failure

Rollback on failure is a mechanism where the UI reverts to its previous state if the server indicates that an optimistic update failed. This ensures that the user interface remains consistent and accurate.

Cache Persistence

Cache persistence refers to storing cached data in a persistent storage medium, such as local storage or IndexedDB, to retain data across page reloads or application restarts. This improves performance by reducing the need to refetch data.

Cache Normalization

Cache normalization is a technique used to organize cached data in a structured way, similar to database normalization. This reduces redundancy and ensures that updates to related data are consistent across the cache.

Cache Eviction

Cache eviction is the process of removing data from the cache to free up space for new data. Common eviction policies include Least Recently Used (LRU), Least Frequently Used (LFU), and First In, First Out (FIFO).

Cache Priming

Cache priming involves preloading data into the cache before it is requested by the user. This technique can improve performance by ensuring that frequently accessed data is readily available.

Cache Rehydration

Cache rehydration is the process of restoring cached data when the application starts or a new session begins. This ensures that the application can quickly resume operation with minimal delay.

Cache Collisions

Cache collisions occur when different pieces of data are mapped to the same cache location, leading to conflicts. Proper key management and hashing techniques can help mitigate cache collisions.

Cache Performance

Cache performance refers to the efficiency and effectiveness of the caching mechanism in reducing latency and improving application responsiveness. Factors affecting cache performance include cache size, eviction policies, and data access patterns.

Cache Strategies

Cache strategies are approaches used to manage caching behavior, such as write-through caching, write-back caching, and read-through caching. Each strategy has its own trade-offs in terms of performance, consistency, and complexity.

Analogies

Think of caching as a library where frequently borrowed books are kept on a nearby shelf for quick access. When a user requests a book, the librarian (cache) checks the nearby shelf first before going to the main storage area (server).

Optimistic UI is like a restaurant where the waiter brings your food as soon as you order, assuming the kitchen will fulfill the order. If there's a problem, the waiter takes the food back and apologizes.

© 2024 Ahmed Baheeg Khorshid. All rights reserved.