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Best practice considerations: DBCC validation
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Consider running CHECKDB on restored backups. Automating this process (restore and CHECKDB) on a backup verification server (or test environment) will enable regular and ongoing validation of both the backup/restore process and the data integrity, as well as allowing you to implement an automatic production data refresh process for testing purposes. When a database is upgraded from SQL Server 2000, run CHECKDB with the DATA_PURITY option to enable checks for invalid data values. Use REPAIR_ALLOW_DATA_LOSS as a last resort option. Consider all backup restore options before this is used. Given the possibility of REPAIR_ALLOW_DATA_LOSS invalidating data constraints, run DBCC CHECKCONSTRAINTS along with other business logic validation following the repair. Prior to running REPAIR_ALLOW_DATA_LOSS, make a backup or snapshot of the database for rollback purposes if appropriate. Alternatively, execute the repair in a user transaction, which enables the effects of the repair to be rolled back if required. Follow up all corruption events with a root cause analysis to identify the cause of the corruption and to prevent it from reoccurring. Additional information on the best practices covered in this chapter can be found online at http://www.sqlCrunch.com/DBCC. We ve made several references in this chapter to clustered and nonclustered indexes. We ll cover these in detail in the next chapter.
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In this chapter, we ll cover
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Designing indexes Filtered indexes and indexed views Analyzing index usage Index maintenance Statistics maintenance
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Well-designed indexes reduce the time needed to access required data, but designed and used incorrectly, they slow query performance, lengthen maintenance routines, and increase database size and storage costs. The ability to successfully design and maintain indexes is an important DBA skill that requires a good understanding of how SQL Server uses indexes along with a solid grasp of indexanalysis and maintenance techniques. In this chapter, we ll begin with an overview of SQL Server indexes and cover strategies for successful index design. We ll then focus on a number of index-analysis techniques aimed at identifying indexes to add, drop, and defragment. We ll close the chapter with coverage of the tools and techniques involved in maintaining indexes and statistics, a crucial component of any database maintenance strategy.
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An introduction to indexes
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13.1 An introduction to indexes
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Like the index at the end of this book, indexes within a database enable fast access to table contents. With each table in a SQL Server 2008 database supporting up to 1000 indexes, fast access can be enabled for a wide variety of lookups. However, as you ll soon see, poor index selection and maintenance can have the opposite effect, with reduced performance a common outcome. It s possible (and common) for tables to be created without any indexes. Such tables are known as heaps. Before continuing, let s take a brief look at heaps.
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13.1.1 Heaps
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Consider the script in listing 13.1, which creates a simple table and inserts five rows.
Listing 13.1 Creating a heap table
-- Create a heap table and seed with data CREATE TABLE dbo.client ( clientCode int , surname nvarchar(100) , firstName nvarchar(100) , SSN char(12) , DOB datetime ) GO INSERT INTO dbo.client ( clientCode , surname , firstName , SSN , DOB ) VALUES (1, 'Smith', 'John', '111-622-3033', '18 Jun 1974') , (2, 'Jones', 'Harry', '121-221-3933', '01 Mar 1964') , (3, 'Brown', 'Bill', '113-262-3223', '19 Apr 1949') , (4, 'Dean', 'Sally', '191-422-3775', '26 Dec 1979') , (5, 'White', 'Linda', '118-252-2243', '01 Jan 1998') GO
Heap tables, such as the one created in listing 13.1, store their data in no particular physical order. For various reasons that will become apparent throughout this chapter, we recommend that all1 tables be created with a physical order, achieved by creating a clustered index.
13.1.2 Clustered indexes
A clustered index is added to a table using the create clustered index command, as per the following example:
CREATE CLUSTERED INDEX cixClientSSN ON dbo.client(SSN) GO
A possible exception is small, temporary tables or those used for inserts only.
282 Heap
Surname Smith Jones Brown Dean White ... SSN
Index design and maintenance Clustered index (SSN)
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