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Indexes can be created with views We ll learn more about indexes in 7, but for now realize that indexes can improve the performance of tables and can also be created on views When creating an indexed view, you have to observe a few restrictions:
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All tables and user-defined functions must be referenced by two-part names The VIEW must have been created using WITH SCHEMABINDING If the VIEW uses any functions, the functions must use WITH SCHEMABINDING If the VIEW uses any functions, the functions must be deterministic, that is, cannot include any nondeterministic functions
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Of course, the last bulleted item begs the question, what is a nondeterministic FUNCTION A nondeterministic FUNCTION returns different results when it s called at different times For example, the GETDATE() FUNCTION returns one thing today, but will return something else tomorrow A deterministic FUNCTION always returns the same result whenever it is called with the same input values
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When creating databases and database objects, often we need to consider data quality If we re concerned about security or optimization, we implement security and optimization techniques into the design as early as possible The same goes for data quality If data quality is a concern (and it always should be), we should think about data quality as early in the process as possible We can use a variety of methods and techniques to ensure that we enter valid data or can check it after it has been entered These include
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Data types Constraints Stored procedures Triggers SSIS Staging tables
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By using data types, we can standardize the data at a basic level as we saw in the earlier section in this chapter For example, the BDay column is expected to be a date If someone accidentally enters Sop 1, 1968, instead of Sep 1, 1968, the data type will not recognize this as a date and reject the entry, returning an error PRIMARY KEY and FOREIGN KEY constraints can be used to ensure relationships between tables CHECK constraints can check the data to ensure it conforms to certain formats For example, our ZIP code user-defined data type that we created earlier can be enforced with a constraint to ensure the format is #####-#### Constraints act on the data before it is entered or modified and prevent it from being entered if it is not valid We ll explore constraints in more detail in 3 Stored procedures can be used to insert or modify data A stored procedure is one or more (usually many more) Transact-SQL statements It can accept parameters and perform checks on any inputted data before trying to insert or modify data By creating CLR stored procedures, you can do some very sophisticated data entry Stored procedures will be explored in 5 Triggers can check the data after it has been entered If it is incorrect, the trigger can roll back the data entry This isn t very efficient, but if you can t control how the data is being modified, triggers will catch it If some users have access to database tables allowing them to execute ad hoc queries (including inserts, updates, and deletes) against the tables, triggers provide a mechanism to undo changes For example, let s say your company policy prevents deleting any employees; instead an employee status field shows them as employed or no longer employed A delete TRIGGER on the Employees table will detect any deletions and restore the deleted employee data CLR triggers can be created to do more robust checking Triggers will be explored in 5
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TIP For a listing of the database objects with some basic information on their use, check out Appendix F This is a mini-reference of the most important database objects It s similar to what I often hand out when teaching SQL Server classes SQL Server Integration Services (SSIS) can be used to massage and clean data prior to importing it For example, let s say you re importing employee data where the gender was entered as M, Male, Man, F, Female, and Woman You want to standardize the data to be M for male and F for female A simple implementation of SSIS can be used to massage the data to make it consistent Last, a common method of standardizing data (especially when importing large quantities) is to use a staging table The data is imported into the staging table and then checked and massaged before being entered into the live database tables No matter which method we use, the goals include:
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