Why do you create a View in a database?

Question

When and Why does some one decide that they need to create a View in their database? Why not just run a normal stored procedure or select?

Answer 1

This doesn't answer your question exactly but I thought it would be worth mentioning Materialized Views. My experience is mostly with Oracle but supposedly SQL-Server is fairly similar.

We used something similar in our architecture to address XML performance problems. Our systems are designed with a lot of data stored as XML on a row and applications might need to query particular values within it. Handling lots of XMLTypes and running XPaths across large number of rows has a large impact on performance so we use a form of materialized views to extract the desired XML nodes out into a relational table anytime the base table changes. This effectively provides a physical snapshot of the query at a point in time as opposed to standard views which would run their query on demand.

Answer 2

To Focus on Specific Data Views allow users to focus on specific data that interests them and on the specific tasks for which they are responsible. Unnecessary data can be left out of the view. This also increases the security of the data because users can see only the data that is defined in the view and not the data in the underlying table. For more information about using views for security purposes, see Using Views as Security Mechanisms.

To Simplify Data Manipulation Views can simplify how users manipulate data. You can define frequently used joins, projections, UNION queries, and SELECT queries as views so that users do not have to specify all the conditions and qualifications each time an additional operation is performed on that data. For example, a complex query that is used for reporting purposes and performs subqueries, outer joins, and aggregation to retrieve data from a group of tables can be created as a view. The view simplifies access to the data because the underlying query does not have to be written or submitted each time the report is generated; the view is queried instead. For more information about manipulating data.

You can also create inline user-defined functions that logically operate as parameterized views, or views that have parameters in WHERE-clause search conditions. For more information, see Inline User-defined Functions.

To Customize Data Views allow different users to see data in different ways, even when they are using the same data concurrently. This is particularly advantageous when users with many different interests and skill levels share the same database. For example, a view can be created that retrieves only the data for the customers with whom an account manager deals. The view can determine which data to retrieve based on the login ID of the account manager who uses the view.

To Export and Import Data Views can be used to export data to other applications. For example, you may want to use the stores and sales tables in the pubs database to analyze sales data using Microsoft® Excel. To do this, you can create a view based on the stores and sales tables. You can then use the bcp utility to export the data defined by the view. Data can also be imported into certain views from data files using the bcp utility or BULK INSERT statement providing that rows can be inserted into the view using the INSERT statement. For more information about the restrictions for copying data into views, see INSERT. For more information about using the bcp utility and BULK INSERT statement to copy data to and from a view, see Copying To or From a View.

To Combine Partitioned Data The Transact-SQL UNION set operator can be used within a view to combine the results of two or more queries from separate tables into a single result set. This appears to the user as a single table called a partitioned view. For example, if one table contains sales data for Washington, and another table contains sales data for California, a view could be created from the UNION of those tables. The view represents the sales data for both regions. To use partitioned views, you create several identical tables, specifying a constraint to determine the range of data that can be added to each table. The view is then created using these base tables. When the view is queried, SQL Server automatically determines which tables are affected by the query and references only those tables. For example, if a query specifies that only sales data for the state of Washington is required, SQL Server reads only the table containing the Washington sales data; no other tables are accessed.

Partitioned views can be based on data from multiple heterogeneous sources, such as remote servers, not just tables in the same database. For example, to combine data from different remote servers each of which stores data for a different region of your organization, you can create distributed queries that retrieve data from each data source, and then create a view based on those distributed queries. Any queries read only data from the tables on the remote servers that contains the data requested by the query; the other servers referenced by the distributed queries in the view are not accessed.

When you partition data across multiple tables or multiple servers, queries accessing only a fraction of the data can run faster because there is less data to scan. If the tables are located on different servers, or on a computer with multiple processors, each table involved in the query can also be scanned in parallel, thereby improving query performance. Additionally, maintenance tasks, such as rebuilding indexes or backing up a table, can execute more quickly. By using a partitioned view, the data still appears as a single table and can be queried as such without having to reference the correct underlying table manually.

Partitioned views are updatable if either of these conditions is met: An INSTEAD OF trigger is defined on the view with logic to support INSERT, UPDATE, and DELETE statements.

Both the view and the INSERT, UPDATE, and DELETE statements follow the rules defined for updatable partitioned views. For more information, see Creating a Partitioned View.

https://technet.microsoft.com/en-us/library/aa214282(v=sql.80).aspx#sql:join

Answer 3

Views also break down very complex configuration and tables into managable chunks that are easily queried against. In our database, our entire table managment system is broken down into views from one large table.

Answer 4

Among other things, it can be used for security. If you have a "customer" table, you might want to give all of your sales people access to the name, address, zipcode, etc. fields, but not credit_card_number. You can create a view that only includes the columns they need access to and then grant them access on the view.

Answer 5

I see a stored procedure more as a method I can call against my data, whereas to me a view provides a mechanism to create a synthetic version of the base data against which queries or stored procedures can be created. I'll create a view when simplification or aggregation makes sense. I'll write a stored procedure when I want to provide a very specific service.

Answer 6

A view provides several benefits.

1. Views can hide complexity

If you have a query that requires joining several tables, or has complex logic or calculations, you can code all that logic into a view, then select from the view just like you would a table.

2. Views can be used as a security mechanism

A view can select certain columns and/or rows from a table, and permissions set on the view instead of the underlying tables. This allows surfacing only the data that a user needs to see.

3. Views can simplify supporting legacy code

If you need to refactor a table that would break a lot of code, you can replace the table with a view of the same name. The view provides the exact same schema as the original table, while the actual schema has changed. This keeps the legacy code that references the table from breaking, allowing you to change the legacy code at your leisure.

These are just some of the many examples of how views can be useful.