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/
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