Search results
Results from the WOW.Com Content Network
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.
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. 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.
Database management systems provide multiple types of indexes to improve performance and data integrity across diverse applications. Index types include b-trees, bitmaps, and r-trees. In database management systems, a reverse key index strategy reverses the key value before entering it in the index. [1] E.g., the value 24538 becomes 83542 in ...
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.
Object-oriented embedded database system for Java, Android and .NET platforms. No ORM. Schema evolution, XML export/import, replication, specialized indexes, including full text, b-tree, t-tree, r-tree, patricia trie, kd-tree and time series Polyhedra: ENEA AB (previously Perihelion Software) 1993
Download as PDF; Printable version; In other projects Wikimedia Commons; ... Pages in category "B-tree" The following 7 pages are in this category, out of 7 total.
Extendible hashing is a type of hash system which treats a hash as a bit string and uses a trie for bucket lookup. [1] Because of the hierarchical nature of the system, re-hashing is an incremental operation (done one bucket at a time, as needed).
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.