A database index is a data structure that improves the speed of data retrieval operations in DBMS.
An index can be created using one or more columns of a database table, providing the basis for both rapid random lookups and efficient access of ordered records.
Most indexes use a B-tree structure. A B-tree is a tree data structure that keeps data sorted and allows searches, sequential access, insertions, and deletions in logarithmic amortized time.
The B-tree is a generalization of a binary search tree. The B-tree is optimized for systems that read and write large blocks of data.
There are several index types out there:
Bitmap index
Dense index
Sparse index
Reverse index
Etc...
index file is organized with the help of any key as index number at rondomly but index sequencial file organized with the help of any index sequentialy rajesh patel
secondary index is a key which is created other than primary key, to speed up processing.
Data is represented/organized in a dbms in the form of Schemas, tables, rows and columns One DBMS may have multiple Schemas One Schema may have multiple tables One table may have multiple rows One row may have multiple columns If these tables are related to one another it forms a RDBMS - A Relational DBMS
Rewcord management in an organized way concureent processing and sharing among the set of user Protection and security
Constructing a B-tree in the DBMS means that you are assigning each node to a corresponding disc page so that the information can be searched and updated. This is done by assigning an index node, child nodes, and leaf nodes.
each employee works for xactly one department
NA_ what are highlights of advanced DBMS what are highlights of advanced DBMS what are highlights of advanced DBMS
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no, Java is not dbms.. Java is a programming language Dbms is database
dbms
A flat file is a simple file containing data without any structured format, while a Database Management System (DBMS) is a software system that manages databases by organizing, storing, and retrieving data. A DBMS allows for more organized and efficient data management, supports relationships between data, and provides features like security and data integrity that are not available with flat files.
Hierarchical DBMSNetwork DBMSRelational DBMS