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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] Each relation can have a single clustered index and many unclustered indices.
Master Data Services first shipped with Microsoft SQL Server 2008 R2. Microsoft SQL Server 2016 introduced enhancements to Master Data Services, such as improved performance and security, and the ability to clear transaction logs, create custom indexes, share entity data between different models, and support for many-to-many relationships.
A database catalog of a database instance consists of metadata in which definitions of database objects such as base tables, views (virtual tables), synonyms, value ranges, indexes, users, and user groups are stored. [1] [2] It is an architecture product that documents the database's content and data quality. [3]
Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).
This mechanism has been realised since the 2000 version of SQL Server. Example syntax to create a materialized view in SQL Server: CREATE VIEW MV_MY_VIEW WITH SCHEMABINDING AS SELECT COL1 , SUM ( COL2 ) AS TOTAL FROM < table_name > GROUP BY COL1 ; GO CREATE UNIQUE CLUSTERED INDEX XV ON MV_MY_VIEW ( COL1 );
In SQL Server, this type of index is called a filtered index. [1] Partial indexes have been supported in PostgreSQL since version 7.2, released in February 2002. [2] SQLite supports partial indexes since version 3.8.0. [3] MongoDB supports partial indexes since version 3.2. [4]
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SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...