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e xercise 4
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Implement Data Compression
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In this exercise, you populate the Test.Customers table with 100,000 rows and then compare the disk usage of the table depending on the data compression level used. Note that data compression is available only in the Developer, Enterprise, and Enterprise Evaluation editions of SQL Server 2008.
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If necessary, open SSMS and connect to the appropriate instance of SQL Server 2008. In a new query window, type and execute the following SQL statement to use the TestDB database.
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USE TestDB;
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In the query window, type, highlight, and execute the following query to populate the Test.Customers table with 100,000 rows:
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INSERT Test.Customers (Name, CreatedDateTime, CreditLimit) SELECT TOP(100000) so1.name ,SYSDATETIME() ,CASE
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Lesson 1: Working with Tables and Data Types
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WHEN ABS(so1.object_id) > 100000000 THEN NULL ELSE ABS(so1.object_id) END FROM sys.all_objects AS so1 CROSS JOIN sys.all_objects AS so2;
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In the query window, type, highlight, and execute the following statements to rebuild the table using no compression and report the space usage of the table:
ALTER TABLE Test.Customers REBUILD WITH (DATA_COMPRESSION = NONE);
EXEC sp_spaceused @objname = 'Test.Customers' ,@updateusage = 'true';
Note the total disk space reserved for the table, as reported by the sp_spaceused stored procedure.
In the query window, type, highlight and execute the following query to rebuild the table using row compression and report the space usage of the table:
ALTER TABLE Test.Customers REBUILD WITH (DATA_COMPRESSION = ROW);
EXEC sp_spaceused @objname = 'Test.Customers' ,@updateusage = 'true';
Note the total disk space reserved for the table.
In the query window, type, highlight, and execute the following query to rebuild the table using page compression and report the space usage of the table:
ALTER TABLE Test.Customers REBUILD WITH (DATA_COMPRESSION = PAGE);
EXEC sp_spaceused @objname = 'Test.Customers' ,@updateusage = 'true';
Note the total disk space reserved for the table.
To clean up after this practice, close all open query windows in SSMS, open a new query window, and execute the following SQL statement:
USE master; GO
DROP DATABASE TestDB;
Tables, Data Types, and Declarative Data Integrity
Lesson 2: Declarative Data integrity
Validating data is one of the most common tasks in software development. As a result, validation routines tend to be spread throughout an application s architecture. You are likely to find data validation in the following technologies:
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Microsoft Windows Forms or Windows Presentation Foundation (WPF) applications ASP.NET pages and Silverlight applications JavaScript embedded in Hypertext Markup Language (HTML) Business components (such as .NET library assemblies or COM components) Databases
It is very common to find that too few validation routines are created in a database. This is because many developers tend to trust that the validation is performed before the data actually arrives in the database. This lesson covers what type of validation you can and probably should perform in a database and how you can implement it.
After this lesson, you will be able to:
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Implement declarative data integrity on your tables. Define primary key constraints. Define foreign key constraints. Define unique constraints. Define check constraints.
Estimated lesson time: 60 minutes
Validating Data
There are two ways to validate data integrity in SQL Server, either using declarative data integrity or procedural data integrity. Declarative data integrity is a set of rules that are applied to a table and its columns using the CREATE TABLE or ALTER TABLE statements. These rules are called constraints.
note
DOn t USe RULeS!
You can also implement declarative data integrity using rules (with the CREATE RULE statement); however, rules should not be used because they will be removed from SQL Server in a future release.
Lesson 2: Declarative Data Integrity
Procedural data integrity is implemented either by letting a stored procedure validate data or by creating triggers that check the data before or after a data manipulation language (DML) statement (such as INSERT, UPDATE or DELETE) is issued. Stored procedures and triggers are covered in 5. In general, declarative data integrity is the simplest integrity check to integrate because it requires very little development effort. This also makes it less likely to produce bugs because it contains less code than procedural data integrity. On the other hand, procedural data integrity typically allows for more advanced integrity checks. The typical database application needs to use both declarative and procedural data integrity. In this lesson, we cover declarative data integrity.
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