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Hierarchical Data


Introduction

Most users at one time or another have dealt with hierarchical data in a SQL database and no doubt learned that the management of hierarchical data is not what a relational database is intended for. The tables of a relational database are not hierarchical (like XML), but are simply a flat list. Hierarchical data has a parent-child relationship that is not naturally represented in a relational database table.

For our purposes, hierarchical data is a collection of data where each item has a single parent and zero or more children (with the exception of the root item, which has no parent). Hierarchical data can be found in a variety of database applications, including forum and mailing list threads, business organization charts, content management categories, and product categories.

In a hierarchical data model, data is organized into a tree-like structure. The tree structure allows repeating information using parent/child relationships. For an explanation of the tree data structure, see here.

There are three major approaches to managing tree structures in relational databases, these are:

  • the adjacency list model
  • the nested set model (otherwise known as the modified pre-order tree traversal algorithm)
  • materialized path model

These are explained in more detail at the following links:


Nested Set


Introduction

Nested Set is a solution for storing hierarchical data that provides very fast read access. However, updating nested set trees is more costly. Therefore this solution is best suited for hierarchies that are much more frequently read than written to. And because of the nature of the web, this is the case for most web applications.

For more detailed information on the Nested Set, read here:


Setting Up

To set up your model as Nested Set, you must add some code to the setUp() method of your model. Take this Category model below for example:

// models/Category.php
class Category extends Doctrine_Record
{
    public function setTableDefinition()
    {
        $this->hasColumn('name', 'string', 255);
    }

    public function setUp()
    {
        $this->actAs('NestedSet');
    }
}

Here is the same example in YAML format. You can read more about YAML in the YAML Schema Files chapter:

1--- # schema.yml # ... Category: actAs: [NestedSet] columns: name: string(255)
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Detailed information on Doctrine's templating model can be found in chapter Behaviors. These templates add some functionality to your model. In the example of the nested set, your model gets 3 additional fields: lft, rgt and level. You never need to care about the lft and rgt fields. These are used internally to manage the tree structure. The level field however, is of interest for you because it's an integer value that represents the depth of a node within it's tree. A level of 0 means it's a root node. 1 means it's a direct child of a root node and so on. By reading the level field from your nodes you can easily display your tree with proper indention.

You must never assign values to lft, rgt, level. These are managed transparently by the nested set implementation.


Multiple Trees

The nested set implementation can be configured to allow your table to have multiple root nodes, and therefore multiple trees within the same table.

The example below shows how to setup and use multiple roots with the Category model:

// models/Category.php
class Category extends Doctrine_Record
{
    // ...
    public function setUp()
    {
        $options = array(
            'hasManyRoots'   => true,
            'rootColumnName' => 'root_id'
        );
        $this->actAs('NestedSet', $options);
    }
}

Here is the same example in YAML format. You can read more about YAML in the YAML Schema Files chapter:

1--- # schema.yml # ... Category: actAs: NestedSet: hasManyRoots: true rootColumnName: root_id columns: name: string(255)
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The rootColumnName is the column used to differentiate between trees. When you create a new root node you have the option to set the root_id manually, otherwise Doctrine will assign a value for you.

In general use you do not need to deal with the root_id directly. For example, when you insert a new node into an existing tree or move a node between trees Doctrine transparently handles the associated root_id changes for you.


Working with Trees

After you successfully set up your model as a nested set you can start working with it. Working with Doctrine's nested set implementation is all about two classes: Doctrine_Tree_NestedSet and Doctrine_Node_NestedSet. These are nested set implementations of the interfaces Doctrine_Tree_Interface and Doctrine_Node_Interface. Tree objects are bound to your table objects and node objects are bound to your record objects. This looks as follows:

The full tree interface is available by using the following code:

// test.php

// ...
$treeObject = Doctrine_Core::getTable('Category')->getTree();

In the next example $category is an instance of Category:

// test.php

// ...
$nodeObject = $category->getNode();

With the above code the full node interface is available on $nodeObject.

In the following sub-chapters you'll see code snippets that demonstrate the most frequently used operations with the node and tree classes.


Creating a Root Node

// test.php

// ...
$category       = new Category();
$category->name = 'Root Category 1';
$category->save();

$treeObject = Doctrine_Core::getTable('Category')->getTree();
$treeObject->createRoot($category);

Inserting a Node

In the next example we're going to add a new Category instance as a child of the root Category we created above:

// test.php

// ...
$child1       = new Category();
$child1->name = 'Child Category 1';

$child2       = new Category();
$child2->name = 'Child Category 1';

$child1->getNode()->insertAsLastChildOf($category);
$child2->getNode()->insertAsLastChildOf($category);

Deleting a Node

Deleting a node from a tree is as simple as calling the delete() method on the node object:

// test.php

// ...
$category = Doctrine_Core::getTable('Category')->findOneByName('Child Category 1');
$category->getNode()->delete();

The above code calls $category->delete() internally. It's important to delete on the node and not on the record. Otherwise you may corrupt the tree.

Deleting a node will also delete all descendants of that node. So make sure you move them elsewhere before you delete the node if you don't want to delete them.


Moving a Node

Moving a node is simple. Doctrine offers several methods for moving nodes around between trees:

// test.php

// ...
$category       = new Category();
$category->name = 'Root Category 2';
$category->save();

$categoryTable = Doctrine_Core::getTable('Category');
$treeObject    = $categoryTable->getTree();
$treeObject->createRoot($category);

$childCategory = $categoryTable->findOneByName('Child Category 1');
$childCategory->getNode()->moveAsLastChildOf($category);
...

Below is a list of the methods available for moving nodes around:

  • moveAsLastChildOf($other)
  • moveAsFirstChildOf($other)
  • moveAsPrevSiblingOf($other)
  • moveAsNextSiblingOf($other)

The method names should be self-explanatory to you.


Examining a Node

You can examine the nodes and what type of node they are by using some of the following functions:

// test.php

// ...
$isLeaf = $category->getNode()->isLeaf();
$isRoot = $category->getNode()->isRoot();

The above used functions return true/false depending on whether or not they are a leaf or root node.


Examining and Retrieving Siblings

You can easily check if a node has any next or previous siblings by using the following methods:

// test.php

// ...
$hasNextSib = $category->getNode()->hasNextSibling();
$hasPrevSib = $category->getNode()->hasPrevSibling();

You can also retrieve the next or previous siblings if they exist with the following methods:

// test.php

// ...
$nextSib = $category->getNode()->getNextSibling();
$prevSib = $category->getNode()->getPrevSibling();

The above methods return false if no next or previous sibling exists.

If you want to retrieve an array of all the siblings you can simply use the getSiblings() method:

// test.php

// ...
$siblings = $category->getNode()->getSiblings();

Examining and Retrieving Descendants

You can check if a node has a parent or children by using the following methods:

// test.php

// ...
$hasChildren = $category->getNode()->hasChildren();
$hasParent   = $category->getNode()->hasParent();

You can retrieve a nodes first and last child by using the following methods:

// test.php

// ...
$firstChild = $category->getNode()->getFirstChild();
$lastChild  = $category->getNode()->getLastChild();

Or if you want to retrieve the parent of a node:

// test.php

// ...
$parent = $category->getNode()->getParent();

You can get the children of a node by using the following method:

// test.php

// ...
$children = $category->getNode()->getChildren();

The getChildren() method returns only the direct descendants. If you want all descendants, use the getDescendants() method.

You can get the descendants or ancestors of a node by using the following methods:

// test.php

// ...
$descendants = $category->getNode()->getDescendants();
$ancestors   = $category->getNode()->getAncestors();

Sometimes you may just want to get the number of children or descendants. You can use the following methods to accomplish this:

// test.php

// ...
$numChildren    = $category->getNode()->getNumberChildren();
$numDescendants = $category->getNode()->getNumberDescendants();

The getDescendants() and getAncestors() both accept a parameter that you can use to specify the depth of the resulting branch. For example getDescendants(1) retrieves only the direct descendants (the descendants that are 1 level below, that's the same as getChildren()). In the same fashion getAncestors(1) would only retrieve the direct ancestor (the parent), etc. getAncestors() can be very useful to efficiently determine the path of this node up to the root node or up to some specific ancestor (i.e. to construct a breadcrumb navigation).


Rendering a Simple Tree

The next example assumes you have hasManyRoots set to false so in order for the below example to work properly you will have to set that option to false. We set the value to true in a earlier section.

// test.php

// ...
$treeObject = Doctrine_Core::getTable('Category')->getTree();
$tree       = $treeObject->fetchTree();

foreach ($tree as $node) {
    echo str_repeat('  ', $node['level']) . $node['name'] . "\n";
}

Advanced Usage

The previous sections have explained the basic usage of Doctrine's nested set implementation. This section will go one step further.


Fetching a Tree with Relations

If you're a demanding software developer this question may already have come into your mind: How do I fetch a tree/branch with related data?. Simple example: You want to display a tree of categories, but you also want to display some related data of each category, let's say some details of the hottest product in that category. Fetching the tree as seen in the previous sections and simply accessing the relations while iterating over the tree is possible but produces a lot of unnecessary database queries. Luckily, Doctrine_Query and some flexibility in the nested set implementation have come to your rescue. The nested set implementation uses Doctrine_Query objects for all it's database work. By giving you access to the base query object of the nested set implementation you can unleash the full power of Doctrine_Query while using your nested set.

First lets create the query we want to use to retrieve our tree data with:

// test.php

// ...
$q = Doctrine_Query::create()
    ->select('c.name, p.name, m.name')
    ->from('Category c')
    ->leftJoin('c.HottestProduct p')
    ->leftJoin('p.Manufacturer m');

Now we need to set the above query as the base query for the tree:

$treeObject = Doctrine_Core::getTable('Category')->getTree();
$treeObject->setBaseQuery($q);
$tree       = $treeObject->fetchTree();

There it is, the tree with all the related data you need, all in one query.

If you don't set your own base query then one will be automatically created for you internally.

When you are done it is a good idea to reset the base query back to normal:

// test.php

// ...
$treeObject->resetBaseQuery();

You can take it even further. As mentioned in the chapter Improving Performance you should only fetch objects when you need them. So, if we need the tree only for display purposes (read-only) we can use the array hydration to speed things up a bit:

// test.php

// ...
$q = Doctrine_Query::create()
    ->select('c.name, p.name, m.name')
    ->from('Category c')
    ->leftJoin('c.HottestProduct p')
    ->leftJoin('p.Manufacturer m')
    ->setHydrationMode(Doctrine_Core::HYDRATE_ARRAY);

$treeObject = Doctrine_Core::getTable('Category')->getTree();
$treeObject->setBaseQuery($q);
$tree       = $treeObject->fetchTree();
$treeObject->resetBaseQuery();

Now you got a nicely structured array in $tree and if you use array access on your records anyway, such a change will not even effect any other part of your code. This method of modifying the query can be used for all node and tree methods (getAncestors(), getDescendants(), getChildren(), getParent(), ...). Simply create your query, set it as the base query on the tree object and then invoke the appropriate method.


Rendering with Indention

Below you will find an example where all trees are rendered with proper indention. You can retrieve the roots using the fetchRoots() method and retrieve each individual tree by using the fetchTree() method.

// test.php

// ...
$treeObject     = Doctrine_Core::getTable('Category')->getTree();
$rootColumnName = $treeObject->getAttribute('rootColumnName');

foreach ($treeObject->fetchRoots() as $root) {
    $options = array(
        'root_id' => $root->$rootColumnName
    );
    foreach($treeObject->fetchTree($options) as $node) {
        echo str_repeat(' ', $node['level']) . $node['name'] . "\n";
    }
}

After doing all the examples above the code above should render as follows:

$ php test.php
Root Category 1
Root Category 2
Child Category 1

Conclusion

Now that we have learned all about the NestedSet behavior and how to manage our hierarchical data using Doctrine we are ready to learn about Data Fixtures. Data fixtures are a great tool for loading small sets of test data in to your applications to be used for unit and functional tests or to populate your application with its initial data.