


How to Convert Database Results into a Multidimensional Array Using a Closure Table?
Converting Database Results to Multidimensional Array
In the realm of data management, it's often necessary to organize and present hierarchical data structures in a user-friendly and readily digestible format. To achieve this, the "Closure table" approach can be an effective solution. This technique entails maintaining a separate table to store relationships between hierarchical elements, known as the Closure table.
By utilizing a Closure table, it becomes possible to efficiently retrieve subtrees and generate hierarchical data arrangements. For instance, consider the following example:
Table Categories: ID Name 1 Top value 2 Sub value1 Table CategoryTree: child parent level 1 1 0 2 2 0 2 1 1
The objective is to obtain the hierarchical data as a multidimensional array. The desired output would resemble the following:
array ( 'topvalue' = array ( 'Subvalue', 'Subvalue2', 'Subvalue3) ); );
To achieve this, we can leverage SQL queries and row processing techniques. Consider the following pseudocode:
while ($rowData = fetch()) { $row = new RowObject($rowData); $nodes[$row["tsn"]] = $row; if (array_key_exists($row["_parent"], $nodes)) { $nodes[$row["_parent"]]->addChildRow($row); } else { $top = $row; } } return $top;
Here, we define classes for rows and rowsets, where a rowset represents an array of rows, and a row contains an associative array of row data along with a rowset for its children. We also define methods within rows and rowsets to dump their data as a plain array recursively.
Finally, we can use this entire system as follows:
// Get an instance of the taxonomy table data gateway $tax = new Taxonomy(); // query tree starting at Rodentia (id 180130), to a depth of 2 $tree = $tax->fetchTree(180130, 2); // dump out the array var_export($tree->toArrayDeep());
This process allows for flexible and customizable manipulation of hierarchical data, providing an elegant and organized approach to presenting complex relationships.
The above is the detailed content of How to Convert Database Results into a Multidimensional Array Using a Closure Table?. 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.

Article discusses securing MySQL against SQL injection and brute-force attacks using prepared statements, input validation, and strong password policies.(159 characters)
