


How Can I Efficiently Query Descendants and Ancestors in a MySQL Tree Structure?
Single-Query Tree Structure Querying in MySQL
In SQL, tree structures are often stored in tables with columns for ID, data, and parent ID. Retrieving all descendants or ancestors of a specific row can be challenging, especially considering their potentially unknown depth.
Query for Descendants
To retrieve all descendants of a specific row, we can use a technique called Modified Preorder Tree Traversal. As described by Joe Celko in "Trees and Hierarchies in SQL for Smarties," this approach involves creating a recursive common table expression (CTE) with the following structure:
WITH RECURSIVE Descendants AS ( SELECT id, data, parent_id FROM tree_table WHERE id = <starting_row_id> UNION ALL SELECT t.id, t.data, t.parent_id FROM Descendants AS T JOIN tree_table t ON t.parent_id = T.id ) SELECT * FROM Descendants;
This CTE recursively identifies all child rows for the given starting row, then continues through the hierarchy until it reaches the leaf nodes.
Query for Ancestors
To retrieve all ancestors of a specific row, we can use a similar approach with a slight modification:
WITH RECURSIVE Ancestors AS ( SELECT id, data, parent_id FROM tree_table WHERE id = <starting_row_id> UNION ALL SELECT t.id, t.data, t.parent_id FROM Ancestors AS T JOIN tree_table t ON t.id = T.parent_id ) SELECT * FROM Ancestors;
This CTE recursively identifies all parent rows for the given starting row, then continues upwards through the hierarchy until it reaches the root node.
Example Implementation
A working example of these queries in PHP can be found at: http://www.sitepoint.com/article/hierarchical-data-database/2/
The above is the detailed content of How Can I Efficiently Query Descendants and Ancestors in a MySQL Tree Structure?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



The article discusses using MySQL's ALTER TABLE statement to modify tables, including adding/dropping columns, renaming tables/columns, and changing column data types.

Article discusses configuring SSL/TLS encryption for MySQL, including certificate generation and verification. Main issue is using self-signed certificates' security implications.[Character count: 159]

Article discusses strategies for handling large datasets in MySQL, including partitioning, sharding, indexing, and query optimization.

Article discusses popular MySQL GUI tools like MySQL Workbench and phpMyAdmin, comparing their features and suitability for beginners and advanced users.[159 characters]

The article discusses dropping tables in MySQL using the DROP TABLE statement, emphasizing precautions and risks. It highlights that the action is irreversible without backups, detailing recovery methods and potential production environment hazards.

The article discusses creating indexes on JSON columns in various databases like PostgreSQL, MySQL, and MongoDB to enhance query performance. It explains the syntax and benefits of indexing specific JSON paths, and lists supported database systems.

Article discusses using foreign keys to represent relationships in databases, focusing on best practices, data integrity, and common pitfalls to avoid.

InnoDB's full-text search capabilities are very powerful, which can significantly improve database query efficiency and ability to process large amounts of text data. 1) InnoDB implements full-text search through inverted indexing, supporting basic and advanced search queries. 2) Use MATCH and AGAINST keywords to search, support Boolean mode and phrase search. 3) Optimization methods include using word segmentation technology, periodic rebuilding of indexes and adjusting cache size to improve performance and accuracy.
