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  2. B+ tree - Wikipedia

    en.wikipedia.org/wiki/B+_tree

    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.

  3. B-tree - Wikipedia

    en.wikipedia.org/wiki/B-tree

    As with other trees, B-trees can be represented as a collection of three types of nodes: root, internal (a.k.a. interior), and leaf. Note the following variable definitions: K: Maximum number of potential search keys for each node in a B-tree. (this value is constant over the entire tree).

  4. Bitmap index - Wikipedia

    en.wikipedia.org/wiki/Bitmap_index

    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. Since each bitmap represents one distinct value, this is the basic bitmap index.

  5. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    In computer science, a trie (/ ˈ t r aɪ /, / ˈ t r iː /), also known as a digital tree or prefix tree, [1] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set.

  6. Database storage structures - Wikipedia

    en.wikipedia.org/wiki/Database_storage_structures

    Database tables and indexes may be stored on disk in one of a number of forms, including ordered/unordered flat files, ISAM, heap files, hash buckets, or B+ trees. Each form has its own particular advantages and disadvantages. The most commonly used forms are B-trees and ISAM.

  7. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    The cluster configuration defines the data layout in the tables that are parts of the cluster. A cluster can be keyed with a B-tree index or a hash table. The data block where the table record is stored is defined by the value of the cluster key.

  8. B* - Wikipedia

    en.wikipedia.org/wiki/B*

    B* is a best-first process, which means that it is very efficient to traverse the tree, repeatedly descending to find a leaf to expand. This section describes how to choose the node to expand. (Note: Whether or not the tree is memory-resident, is a function of the overall implementation efficiency, including how it may be mapped and/or managed ...

  9. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    This unsorted tree has non-unique values (e.g., the value 2 existing in different nodes, not in a single node only) and is non-binary (only up to two children nodes per parent node in a binary tree). The root node at the top (with the value 2 here), has no parent as it is the highest in the tree hierarchy.