-
Notifications
You must be signed in to change notification settings - Fork 701
best practices: multi-column index optimization (#20955) #21269
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
best practices: multi-column index optimization (#20955) #21269
Conversation
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Summary of Changes
Hello @ti-chi-bot, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces new documentation to guide users on effectively utilizing multi-column indexes in TiDB for query optimization. The content delves into how TiDB's optimizer processes complex conditions to achieve significant performance improvements, providing practical examples and explanations of its internal mechanisms.
Highlights
- New Documentation Page: I've added a comprehensive new documentation page titled 'Best Practices for Optimizing Multi-Column Indexes'. This document explains the functionality, importance, and advanced optimization techniques for multi-column indexes in TiDB, including how the optimizer handles complex
AND
andOR
conditions. - Table of Contents Update: I've updated the
TOC.md
file to include a link to the newly added 'Optimize Multi-Column Indexes' document under the 'Best Practices' section, making it easily discoverable for users. - TiDB Optimizer Insights: The new document provides detailed insights into TiDB's query optimizer, specifically its range derivation component, illustrating how it efficiently processes multi-column filters and complex row expressions, contrasting TiDB's capabilities with those of MySQL.
Using Gemini Code Assist
The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.
Invoking Gemini
You can request assistance from Gemini at any point in your pull request via creating an issue comment (i.e. comment on the pull request page) using either /gemini <command>
or @gemini-code-assist <command>
. Below is a summary of the supported commands.
Feature | Command | Description |
---|---|---|
Code Review | /gemini review |
Performs a code review for the current pull request in its current state. |
Pull Request Summary | /gemini summary |
Provides a summary of the current pull request in its current state. |
Comment | @gemini-code-assist | Responds in comments when explicitly tagged, both in issue comments and review comments. |
Help | /gemini help |
Displays a list of available commands. |
Customization
To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/
folder in the base of the repository. Detailed instructions can be found here.
Limitations & Feedback
Gemini Code Assist is currently in preview and may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments to provide feedback.
You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.
Footnotes
-
Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Code Review
This pull request adds a new documentation page on best practices for multi-column index optimization. The content is well-structured and provides valuable insights. I've added a few comments to improve clarity, correct minor formatting issues in EXPLAIN
outputs, and ensure consistency with the style guide. Overall, this is a great contribution.
/approve |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: hfxsd The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
This is an automated cherry-pick of #20955
First-time contributors' checklist
What is changed, added or deleted? (Required)
Which TiDB version(s) do your changes apply to? (Required)
Tips for choosing the affected version(s):
By default, CHOOSE MASTER ONLY so your changes will be applied to the next TiDB major or minor releases. If your PR involves a product feature behavior change or a compatibility change, CHOOSE THE AFFECTED RELEASE BRANCH(ES) AND MASTER.
For details, see tips for choosing the affected versions.
What is the related PR or file link(s)?
Do your changes match any of the following descriptions?