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In another parallel with functions, database users can manipulate nested views, thus one view can aggregate data from other views. Without the use of views, the normalization of databases above second normal form would become much more difficult. Views can make it easier to create lossless join decomposition.
PostgreSQL: A DUAL-view can be added to ease porting from Oracle. [7] Snowflake: DUAL is supported, but not explicitly documented. It appears in sample SQL for other operations in the documentation. SQLite: A VIEW named "dual" that works the same as the Oracle "dual" table can be created as follows: CREATE VIEW dual AS SELECT 'x' AS dummy;
Using an INSERT statement with RETURNING clause for PostgreSQL (since 8.2). The returned list is identical to the result of a INSERT. Firebird has the same syntax in Data Modification Language statements (DSQL); the statement may add at most one row. [2] In stored procedures, triggers and execution blocks (PSQL) the aforementioned Oracle syntax ...
Create, or add new entries; Read, retrieve, search, or view existing entries; Update, or edit existing entries; Delete, deactivate, or remove existing entries; Because these operations are so fundamental, they are often documented and described under one comprehensive heading such as "contact management" or "document management" in general ...
SQL statements also include the semicolon (";") statement terminator. Though not required on every platform, it is defined as a standard part of the SQL grammar. Insignificant whitespace is generally ignored in SQL statements and queries, making it easier to format SQL code for readability.
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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.
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