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A database object is a structure for storing, managing and presenting application- or user-specific data in a database. Depending on the database management system (DBMS), many different types of database objects can exist. [1] [2] The following is a list of the most common types of database objects found in most relational databases (RDBMS):
The pooled object is obtained in predictable time when creation of the new objects (especially over network) may take variable time. These benefits are mostly true for objects that are expensive with respect to time, such as database connections, socket connections, threads and large graphic objects like fonts or bitmaps.
The Properties object provides specific methods for saving and loading properties into files. Unlike a Table object, which cannot contain duplicate indexes, a Relation object is a collection in which elements can have the same index, which can be of any object type. A Stem object is created automatically when a compound variable is used.
In computing, a materialized view is a database object that contains the results of a query.For example, it may be a local copy of data located remotely, or may be a subset of the rows and/or columns of a table or join result, or may be a summary using an aggregate function.
In computing, the network model is a database model conceived as a flexible way of representing objects and their relationships. Its distinguishing feature is that the schema , viewed as a graph in which object types are nodes and relationship types are arcs, is not restricted to being a hierarchy or lattice .
Since databases may contain many objects, and since lookup is a common operation, it is often desirable to improve performance. An index is any data structure that improves the performance of lookup. There are many different data structures used for this purpose.
Like for example, most customers today think like they have to use an OLTP database, then a search database, maybe a vector database, and then like a caching database. And all that is integrated ...
A native graph system with index-free adjacency does not have to move through any other type of data structures to find links between the nodes. Directly related nodes in a graph are stored in the cache once one of the nodes are retrieved, making the data lookup even faster than the first time a user fetches a node. However, such advantage ...