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  2. B+ tree - Wikipedia

    en.wikipedia.org/wiki/B+_tree

    A B+ tree is an m-ary tree with a variable but often large number of children per node. A B+ tree consists of a root, internal nodes and leaves. [ 1 ] The root may be either a leaf or a node with two or more children.

  3. B-tree - Wikipedia

    en.wikipedia.org/wiki/B-tree

    Deleting nodes is somewhat more complex than inserting however. The B *+ tree combines the main B+ tree and B * tree features together. [15] B-trees can be turned into order statistic trees to allow rapid searches for the Nth record in key order, or counting the number of records between any two records, and various other related operations. [16]

  4. 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.

  5. Delete (SQL) - Wikipedia

    en.wikipedia.org/wiki/Delete_(SQL)

    DELETE requires a shared table lock; Triggers fire; DELETE can be used in the case of: database link; DELETE returns the number of records deleted; Transaction log - DELETE needs to read records, check constraints, update block, update indexes, and generate redo / undo. All of this takes time, hence it takes time much longer than with TRUNCATE

  6. Nested set model - Wikipedia

    en.wikipedia.org/wiki/Nested_set_model

    The Nested Set model is appropriate where the tree element and one or two attributes are the only data, but is a poor choice when more complex relational data exists for the elements in the tree. Given an arbitrary starting depth for a category of 'Vehicles' and a child of 'Cars' with a child of 'Mercedes', a foreign key table relationship must ...

  7. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    Indices can be implemented using a variety of data structures. Popular indices include balanced trees, B+ trees and hashes. [4] In Microsoft SQL Server, the leaf node of the clustered index corresponds to the actual data, not simply a pointer to data that resides elsewhere, as is the case with a non-clustered index. [5]

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  9. Interval tree - Wikipedia

    en.wikipedia.org/wiki/Interval_tree

    Both insertion and deletion require (⁡) time, with being the total number of intervals in the tree prior to the insertion or deletion operation. An augmented tree can be built from a simple ordered tree, for example a binary search tree or self-balancing binary search tree, ordered by the 'low' values of the intervals. An extra annotation is ...