Home Database Mysql Tutorial Add in principle for MySQL index

Add in principle for MySQL index

Feb 19, 2024 pm 06:37 PM
Index optimization Programming Practice mysql index Memory usage Add index

Add in principle for MySQL index

MySQL index adding principles and code examples

1. Introduction
In the MySQL database, indexing is one of the important means to improve query efficiency and optimize database performance. . Adding indexes correctly can greatly reduce disk IO operations during query and improve query speed. However, when adding indexes, you need to follow some principles to ensure the effectiveness and performance improvement of the index. This article will introduce some common MySQL index adding principles and give specific code examples to help readers better understand and apply them.

2. Principles for adding indexes

1. Select appropriate columns as indexes
When selecting columns as indexes, you should give priority to columns that are often used in query conditions or join conditions. Generally speaking, primary key and foreign key columns are the columns most commonly used in queries and joins, so they are usually the most appropriate choice. In addition, some columns that are commonly used for sorting or grouping can also consider adding indexes.

2. Avoid unnecessary indexes
Although indexes can improve query efficiency, they will also increase the burden of write operations. Therefore, you should not add an index to every column, but choose based on actual needs. Adding an index is generally not suitable for columns that have only a small number of unique values, columns that are updated frequently, or columns that are long.

3. Add joint index for joint query
When we perform joint query, we can add joint index for columns that are often queried together to improve query efficiency. For example, for querying the student table and grade table, you can add a joint index for the two commonly used joint condition columns, student number and course number.

4. Pay attention to the order of the index
When adding a joint index, you need to pay attention to the order of the index fields. Typically, more selective columns should be placed first to improve query efficiency. A column with higher selectivity means that the column has more different values ​​and can filter out more data.

5. Add a prefix index to the string column
For longer string columns, in order to reduce the size of the index and improve query efficiency, you can choose to add a prefix index to the string column. By specifying the index length, the size and memory footprint of the index can be greatly reduced, thereby improving performance.

3. Code examples

1. Add an index to a single column

--Add an index to the student number column of the student table
ALTER TABLE students ADD INDEX idx_student_id (student_id );

2. Add a joint index for joint query

-- Add a joint index for the student number and course number columns of the student table and grade table
ALTER TABLE students ADD INDEX idx_student_course ( student_id, course_id);

IV. Summary
In the MySQL database, the correct use of indexes can greatly improve query efficiency and optimize database performance. When adding indexes, we need to select appropriate columns, avoid unnecessary indexes, add joint indexes for joint queries, pay attention to index order, and add prefix indexes for longer string columns. By following these principles, we can better utilize indexes to optimize database queries. At the same time, I hope that the code examples given in this article will be helpful to readers so that they can better understand and apply the relevant knowledge of MySQL indexes.

The above is the detailed content of Add in principle for MySQL index. 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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

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)

Detailed steps for cleaning memory in Xiaohongshu Detailed steps for cleaning memory in Xiaohongshu Apr 26, 2024 am 10:43 AM

1. Open Xiaohongshu, click Me in the lower right corner 2. Click the settings icon, click General 3. Click Clear Cache

What to do if your Huawei phone has insufficient memory (Practical methods to solve the problem of insufficient memory) What to do if your Huawei phone has insufficient memory (Practical methods to solve the problem of insufficient memory) Apr 29, 2024 pm 06:34 PM

Insufficient memory on Huawei mobile phones has become a common problem faced by many users, with the increase in mobile applications and media files. To help users make full use of the storage space of their mobile phones, this article will introduce some practical methods to solve the problem of insufficient memory on Huawei mobile phones. 1. Clean cache: history records and invalid data to free up memory space and clear temporary files generated by applications. Find "Storage" in the settings of your Huawei phone, click "Clear Cache" and select the "Clear Cache" button to delete the application's cache files. 2. Uninstall infrequently used applications: To free up memory space, delete some infrequently used applications. Drag it to the top of the phone screen, long press the "Uninstall" icon of the application you want to delete, and then click the confirmation button to complete the uninstallation. 3.Mobile application to

How to fine-tune deepseek locally How to fine-tune deepseek locally Feb 19, 2025 pm 05:21 PM

Local fine-tuning of DeepSeek class models faces the challenge of insufficient computing resources and expertise. To address these challenges, the following strategies can be adopted: Model quantization: convert model parameters into low-precision integers, reducing memory footprint. Use smaller models: Select a pretrained model with smaller parameters for easier local fine-tuning. Data selection and preprocessing: Select high-quality data and perform appropriate preprocessing to avoid poor data quality affecting model effectiveness. Batch training: For large data sets, load data in batches for training to avoid memory overflow. Acceleration with GPU: Use independent graphics cards to accelerate the training process and shorten the training time.

nuScenes' latest SOTA | SparseAD: Sparse query helps efficient end-to-end autonomous driving! nuScenes' latest SOTA | SparseAD: Sparse query helps efficient end-to-end autonomous driving! Apr 17, 2024 pm 06:22 PM

Written in front & starting point The end-to-end paradigm uses a unified framework to achieve multi-tasking in autonomous driving systems. Despite the simplicity and clarity of this paradigm, the performance of end-to-end autonomous driving methods on subtasks still lags far behind single-task methods. At the same time, the dense bird's-eye view (BEV) features widely used in previous end-to-end methods make it difficult to scale to more modalities or tasks. A sparse search-centric end-to-end autonomous driving paradigm (SparseAD) is proposed here, in which sparse search fully represents the entire driving scenario, including space, time, and tasks, without any dense BEV representation. Specifically, a unified sparse architecture is designed for task awareness including detection, tracking, and online mapping. In addition, heavy

What to do if the Edge browser takes up too much memory What to do if the Edge browser takes up too much memory What to do if the Edge browser takes up too much memory What to do if the Edge browser takes up too much memory May 09, 2024 am 11:10 AM

1. First, enter the Edge browser and click the three dots in the upper right corner. 2. Then, select [Extensions] in the taskbar. 3. Next, close or uninstall the plug-ins you do not need.

For only $250, Hugging Face's technical director teaches you how to fine-tune Llama 3 step by step For only $250, Hugging Face's technical director teaches you how to fine-tune Llama 3 step by step May 06, 2024 pm 03:52 PM

The familiar open source large language models such as Llama3 launched by Meta, Mistral and Mixtral models launched by MistralAI, and Jamba launched by AI21 Lab have become competitors of OpenAI. In most cases, users need to fine-tune these open source models based on their own data to fully unleash the model's potential. It is not difficult to fine-tune a large language model (such as Mistral) compared to a small one using Q-Learning on a single GPU, but efficient fine-tuning of a large model like Llama370b or Mixtral has remained a challenge until now. Therefore, Philipp Sch, technical director of HuggingFace

The impact of the AI ​​wave is obvious. TrendForce has revised up its forecast for DRAM memory and NAND flash memory contract price increases this quarter. The impact of the AI ​​wave is obvious. TrendForce has revised up its forecast for DRAM memory and NAND flash memory contract price increases this quarter. May 07, 2024 pm 09:58 PM

According to a TrendForce survey report, the AI ​​wave has a significant impact on the DRAM memory and NAND flash memory markets. In this site’s news on May 7, TrendForce said in its latest research report today that the agency has increased the contract price increases for two types of storage products this quarter. Specifically, TrendForce originally estimated that the DRAM memory contract price in the second quarter of 2024 will increase by 3~8%, and now estimates it at 13~18%; in terms of NAND flash memory, the original estimate will increase by 13~18%, and the new estimate is 15%. ~20%, only eMMC/UFS has a lower increase of 10%. ▲Image source TrendForce TrendForce stated that the agency originally expected to continue to

Does win11 take up less memory than win10? Does win11 take up less memory than win10? Apr 18, 2024 am 12:57 AM

Yes, overall, Win11 takes up less memory than Win10. Optimizations include a lighter system kernel, better memory management, new hibernation options and fewer background processes. Testing shows that Win11's memory footprint is typically 5-10% lower than Win10's in similar configurations. But memory usage is also affected by hardware configuration, applications, and system settings.

See all articles