


Converting Database Results to Arrays
Introduction
This discussion focuses on retrieving a hierarchical data structure from a database and converting it into a multidimensional array in a single query. The goal is to obtain an array representing the tree structure of the data.
Solution
To extract a tree structure from a database, a closure table is commonly employed. A closure table records the relationships between ancestors and descendants within a hierarchy, enabling efficient querying of descendants.
SQL Query
Given the primary key of a node, querying its descendants using SQL can be achieved using the following steps:
- Join the closure table with the primary table to find all descendants.
- Optionally join another instance of the closure table to include parent information.
- Limit the number of levels to retrieve based on the depth parameter.
- Order the results by their distance from the root node.
Post-Processing
The SQL result is then processed in the following manner:
- Rows are sorted into subsets based on their hierarchical relationship.
- Each row is converted into a row object, which includes a collection of child rows.
- A rowset class is used to represent a collection of rows, each containing its children.
- The resulting tree is constructed by starting from the root node and recursively adding its children.
Code Example
In PHP, using the Zend Framework, the following code demonstrates the process:
// Get taxonomy table instance $tax = new Taxonomy(); // Fetch tree starting at Rodentia (id 180130) to a depth of 2 $tree = $tax->fetchTree(180130, 2); // Dump the array var_export($tree->toArrayDeep());
Output
The output is a multidimensional array representing the tree structure of the data, such as:
array ( 'tsn' => '180130', 'completename' => 'Rodentia', '_parent' => '179925', '_children' => [ // Child rows... ], )
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