Updating data in a view oracle are alex constancio and sarah wright dating

To create a view, a user must have the appropriate system privilege according to the specific implementation.The basic CREATE VIEW syntax is as follows: +----+----------+-----+-----------+----------+ | ID | NAME | AGE | ADDRESS | SALARY | +----+----------+-----+-----------+----------+ | 1 | Ramesh | 32 | Ahmedabad | 2000.00 | | 2 | Khilan | 25 | Delhi | 1500.00 | | 3 | kaushik | 23 | Kota | 2000.00 | | 4 | Chaitali | 25 | Mumbai | 6500.00 | | 5 | Hardik | 27 | Bhopal | 8500.00 | | 6 | Komal | 22 | MP | 4500.00 | | 7 | Muffy | 24 | Indore | 10000.00 | +----+----------+-----+-----------+----------+ The WITH CHECK OPTION is a CREATE VIEW statement option.The same rules that apply to the UPDATE command also apply to the INSERT command.Here we can not insert rows in CUSTOMERS_VIEW because we have not included all the NOT NULL columns in this view, otherwise you can insert rows in a view in similar way as you insert them in a table. The same rules that apply to the UPDATE and INSERT commands apply to the DELETE command.Following is an example to delete a record having AGE= 22.A view is nothing more than a SQL statement that is stored in the database with an associated name.A view is actually a composition of a table in the form of a predefined SQL query.Views, which are kind of virtual tables, allow users to do the following: Database views are created using the CREATE VIEW statement.

The following is an example of creating same view CUSTOMERS_VIEW with the WITH CHECK OPTION: The WITH CHECK OPTION in this case should deny the entry of any NULL values in the view's AGE column, because the view is defined by data that does not have a NULL value in the AGE column.

A view can be updated under certain conditions: +----+----------+-----+-----------+----------+ | ID | NAME | AGE | ADDRESS | SALARY | +----+----------+-----+-----------+----------+ | 1 | Ramesh | 35 | Ahmedabad | 2000.00 | | 2 | Khilan | 25 | Delhi | 1500.00 | | 3 | kaushik | 23 | Kota | 2000.00 | | 4 | Chaitali | 25 | Mumbai | 6500.00 | | 5 | Hardik | 27 | Bhopal | 8500.00 | | 6 | Komal | 22 | MP | 4500.00 | | 7 | Muffy | 24 | Indore | 10000.00 | +----+----------+-----+-----------+----------+ Rows of data can be inserted into a view.

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