Home Web Front-end JS Tutorial How to achieve horizontal scalability of database in React Query?

How to achieve horizontal scalability of database in React Query?

Sep 27, 2023 pm 05:57 PM
database Horizontal expansion react query

如何在 React Query 中实现数据库的水平扩展?

How to achieve horizontal expansion of the database in React Query?

In modern application development, database scalability is a very important consideration. Horizontal scaling of a database can increase capacity and performance by adding more server nodes or shards. In React Query, we can use some techniques and strategies to achieve horizontal scalability of the database.

1. Using database sharding technology

Database sharding is a technology that horizontally divides the database into multiple shards. Each shard is an independent database containing a complete subset of data. In React Query, we can use some mature database sharding technologies, such as MongoDB's sharded cluster or MySQL's partitioned table, to achieve horizontal expansion of the database.

MongoDB's shard cluster is a shard-based database architecture that can distribute data across multiple shard servers. Each shard server stores a subset of the data, evenly distributed across shards using the shard key. React Query can achieve horizontal scalability of the database by connecting to MongoDB's sharded cluster.

MySQL's partitioned table is a technology that divides table data into multiple sub-tables. Each subtable stores a subset of the data. React Query can achieve horizontal expansion of the database by using MySQL's partition table.

2. Use load balancing technology

Load balancing is a technology that distributes load to multiple servers. In React Query, we can use some load balancing technologies, such as reverse proxy servers, DNS load balancing or application layer load balancing to achieve horizontal expansion of the database.

By using a reverse proxy server, we can distribute requests to multiple database servers. React Query can achieve horizontal expansion of the database by configuring the routing rules of the reverse proxy server.

By using DNS load balancing, we can distribute requests to different IP addresses of multiple database servers. React Query can achieve horizontal expansion of the database by configuring DNS records.

By using application layer load balancing, we can distribute requests to multiple database servers. React Query can achieve horizontal expansion of the database by configuring application layer load balancing strategies.

3. Use caching technology

Cache is a technology that stores data in memory to speed up access. In React Query, we can use some caching technologies, such as Redis or Memcached, to achieve horizontal expansion of the database.

By using Redis, we can store part of the data on the Redis server. React Query can achieve horizontal expansion of the database by adding cache keys and cache expiration times to queries.

By using Memcached, we can store part of the data on the Memcached server. React Query can achieve horizontal expansion of the database by adding cache keys and cache expiration times to queries.

The following is a sample code that uses React Query and MongoDB sharded cluster to achieve horizontal expansion of the database:

import { QueryClient, QueryClientProvider, useQuery } from 'react-query';

const queryClient = new QueryClient();

const getUsers = async () => {
  const response = await fetch('http://mongodb-shard-cluster/users');
  const data = await response.json();
  return data;
};

function Users() {
  const { data, isLoading, isError } = useQuery('users', getUsers);

  if (isLoading) {
    return <div>Loading...</div>;
  }

  if (isError) {
    return <div>Error fetching users</div>;
  }

  return (
    <div>
      {data.map(user => (
        <div key={user.id}>{user.name}</div>
      ))}
    </div>
  );
}

function App() {
  return (
    <QueryClientProvider client={queryClient}>
      <Users />
    </QueryClientProvider>
  );
}

export default App;
Copy after login

The above sample code demonstrates how to use React Query to obtain users in a MongoDB sharded cluster data. By configuring a MongoDB sharded cluster and providing corresponding connection information to React Query, we can achieve horizontal expansion of the database.

Summary:

Horizontal expansion of the database can be achieved in React Query by using database sharding technology, load balancing technology and caching technology. The specific implementation depends on the needs and architecture of the application. By properly selecting and configuring these technologies and strategies, we can achieve horizontal expansion of the database and improve application performance and scalability.

The above is the detailed content of How to achieve horizontal scalability of database in React Query?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

How does Go language implement the addition, deletion, modification and query operations of the database? How does Go language implement the addition, deletion, modification and query operations of the database? Mar 27, 2024 pm 09:39 PM

Go language is an efficient, concise and easy-to-learn programming language. It is favored by developers because of its advantages in concurrent programming and network programming. In actual development, database operations are an indispensable part. This article will introduce how to use Go language to implement database addition, deletion, modification and query operations. In Go language, we usually use third-party libraries to operate databases, such as commonly used sql packages, gorm, etc. Here we take the sql package as an example to introduce how to implement the addition, deletion, modification and query operations of the database. Assume we are using a MySQL database.

iOS 18 adds a new 'Recovered' album function to retrieve lost or damaged photos iOS 18 adds a new 'Recovered' album function to retrieve lost or damaged photos Jul 18, 2024 am 05:48 AM

Apple's latest releases of iOS18, iPadOS18 and macOS Sequoia systems have added an important feature to the Photos application, designed to help users easily recover photos and videos lost or damaged due to various reasons. The new feature introduces an album called "Recovered" in the Tools section of the Photos app that will automatically appear when a user has pictures or videos on their device that are not part of their photo library. The emergence of the "Recovered" album provides a solution for photos and videos lost due to database corruption, the camera application not saving to the photo library correctly, or a third-party application managing the photo library. Users only need a few simple steps

How does Hibernate implement polymorphic mapping? How does Hibernate implement polymorphic mapping? Apr 17, 2024 pm 12:09 PM

Hibernate polymorphic mapping can map inherited classes to the database and provides the following mapping types: joined-subclass: Create a separate table for the subclass, including all columns of the parent class. table-per-class: Create a separate table for subclasses, containing only subclass-specific columns. union-subclass: similar to joined-subclass, but the parent class table unions all subclass columns.

Detailed tutorial on establishing a database connection using MySQLi in PHP Detailed tutorial on establishing a database connection using MySQLi in PHP Jun 04, 2024 pm 01:42 PM

How to use MySQLi to establish a database connection in PHP: Include MySQLi extension (require_once) Create connection function (functionconnect_to_db) Call connection function ($conn=connect_to_db()) Execute query ($result=$conn->query()) Close connection ( $conn->close())

How to handle database connection errors in PHP How to handle database connection errors in PHP Jun 05, 2024 pm 02:16 PM

To handle database connection errors in PHP, you can use the following steps: Use mysqli_connect_errno() to obtain the error code. Use mysqli_connect_error() to get the error message. By capturing and logging these error messages, database connection issues can be easily identified and resolved, ensuring the smooth running of your application.

An in-depth analysis of how HTML reads the database An in-depth analysis of how HTML reads the database Apr 09, 2024 pm 12:36 PM

HTML cannot read the database directly, but it can be achieved through JavaScript and AJAX. The steps include establishing a database connection, sending a query, processing the response, and updating the page. This article provides a practical example of using JavaScript, AJAX and PHP to read data from a MySQL database, showing how to dynamically display query results in an HTML page. This example uses XMLHttpRequest to establish a database connection, send a query and process the response, thereby filling data into page elements and realizing the function of HTML reading the database.

Tips and practices for handling Chinese garbled characters in databases with PHP Tips and practices for handling Chinese garbled characters in databases with PHP Mar 27, 2024 pm 05:21 PM

PHP is a back-end programming language widely used in website development. It has powerful database operation functions and is often used to interact with databases such as MySQL. However, due to the complexity of Chinese character encoding, problems often arise when dealing with Chinese garbled characters in the database. This article will introduce the skills and practices of PHP in handling Chinese garbled characters in databases, including common causes of garbled characters, solutions and specific code examples. Common reasons for garbled characters are incorrect database character set settings: the correct character set needs to be selected when creating the database, such as utf8 or u

How to connect to remote database using Golang? How to connect to remote database using Golang? Jun 01, 2024 pm 08:31 PM

Through the Go standard library database/sql package, you can connect to remote databases such as MySQL, PostgreSQL or SQLite: create a connection string containing database connection information. Use the sql.Open() function to open a database connection. Perform database operations such as SQL queries and insert operations. Use defer to close the database connection to release resources.

See all articles