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The term B-tree may refer to a specific design or 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.
[[Category:Family tree templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Family tree templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.
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 .
Ahnentafel style trees can be can be displayed using this template, but usually for fewer than six generations the customised ahnentafel templates are clearer (see Template:Ahnentafel/doc). There is also an ahnentafel template ( {{ Ahnentafel-tree }} ), that is based on this one, that makes construction this tree simpler.
This template is used on approximately 9,600 pages and changes may be widely noticed. Test changes in the template's /sandbox or /testcases subpages, or in your own user subpage . Consider discussing changes on the talk page before implementing them.
In computer science, a 2–3–4 tree (also called a 2–4 tree) is a self-balancing data structure that can be used to implement dictionaries. The numbers mean a tree where every node with children (internal node) has either two, three, or four child nodes: a 2-node has one data element, and if internal has two child nodes;