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A B+ tree can be viewed as a B-tree in which each node contains only keys (not key–value pairs), and to which an additional level is added at the bottom with linked leaves. The primary value of a B+ tree is in storing data for efficient retrieval in a block-oriented storage context — in particular, filesystems .
The term B-tree may refer to a specific design or it may refer to a general class of designs. In the narrow sense, a B-tree stores keys in its internal nodes but need not store those keys in the records at the leaves. The general class includes variations such as the B+ tree, the B * tree and the B *+ tree.
This implementation is a hybrid between the basic bitmap index (without compression) and the list of Row Identifiers (RID-list). Overall, the index is organized as a B+tree. When the column cardinality is low, each leaf node of the B-tree would contain long list of RIDs. In this case, it requires less space to represent the RID-lists as bitmaps.
In computer science, a 2–3 tree is a tree data structure, where every node with children (internal node) has either two children (2-node) and one data element or three children (3-node) and two data elements. A 2–3 tree is a B-tree of order 3. [1] Nodes on the outside of the tree have no children and one or two data elements.
Abstract syntax tree; B-tree; Binary tree. Binary search tree. Self-balancing binary search tree. AVL tree; Red–black tree; Splay tree; T-tree; Binary space partitioning
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A B-tree can be seen as a very specialized form of n-ary tree, one that adds a pile of special restrictions. The restrictions make insertion and deletion a little more complicated -- but, in return, the B-tree can guarantee very fast searches. Some nodes in some n-ary trees have only 1 or 2 children.
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