I have a bunch of objects in a flat structure. These objects have an ID
and a ParentID
property so they can be arranged in trees. They are in no particular order.
Each ParentID
property does not necessarily matches with an ID
in the structure. Therefore their could be several trees emerging from these objects.
How would you process these objects to create the resulting trees ?
I'm not so far from a solution but I'm sure it is far from optimal...
I need to create these trees to then insert Data into a database, in proper order.
There are no circular references. A Node is a RootNode when ParentID == null or when ParentID can't be found in the other objects
Insert OperationThe very first insertion creates the tree. Afterwards, whenever an element is to be inserted, first locate its proper location. Start searching from the root node, then if the data is less than the key value, search for the empty location in the left subtree and insert the data.
A tree is a collection of entities called nodes . Nodes are connected by edges . Each node contains a value or data , and it may or may not have a child node . The first node of the tree is called the root .
A Tree is a non-linear data structure where data objects are organized in terms of hierarchical relationship. The structure is non-linear in the sense that, unlike simple array and linked list implementation, data in a tree is not organized linearly. Each data element is stored in a structure called a node.
Store IDs of the objects in a hash table mapping to the specific object. Enumerate through all the objects and find their parent if it exists and update its parent pointer accordingly.
class MyObject
{ // The actual object
public int ParentID { get; set; }
public int ID { get; set; }
}
class Node
{
public List<Node> Children = new List<Node>();
public Node Parent { get; set; }
public MyObject AssociatedObject { get; set; }
}
IEnumerable<Node> BuildTreeAndGetRoots(List<MyObject> actualObjects)
{
Dictionary<int, Node> lookup = new Dictionary<int, Node>();
actualObjects.ForEach(x => lookup.Add(x.ID, new Node { AssociatedObject = x }));
foreach (var item in lookup.Values) {
Node proposedParent;
if (lookup.TryGetValue(item.AssociatedObject.ParentID, out proposedParent)) {
item.Parent = proposedParent;
proposedParent.Children.Add(item);
}
}
return lookup.Values.Where(x => x.Parent == null);
}
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