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Similar to query performance tuning, creating useful indexes in your database is often part art and part science. Indexes can slow down data modifications while at the same time speeding up SELECT queries. You must balance the cost/benefit of index overhead with read activity versus data modification activity. Every additional index added to a table may improve query performance at the expense of data modification speed. On top of this, index effectiveness changes as the data changes, so an index that was useful a few weeks ago may no longer be useful today. One great difficulty in SQL Server 2000 was figuring out which indexes were not being used either never or rarely used at all. This is important because adding indexes slows down updates. If you re going to have indexes on a table, they should be put to good use on high priority queries. If an index is unused by SQL Server, it s just dead weight. Now in SQL Server 2005, you can see whether or not an index is being used by querying the sys.dm_db_index_usage_stats dynamic management view. This view returns statistics on the number of index seeks, scans, updates, or lookups since the SQL Server instance was last restarted. It also returns the last dates the index was referenced. In this example, the sys.dm_db_index_usage_stats dynamic management view is queried to see if the indexes on the Sales.Customer table are being used. Prior to referencing sys.dm_db_index_usage_stats, two queries will be executed against the Sales.Customer table, one returning all rows and columns and the second returning the AccountNumber column for a specific TerritoryID: SELECT * FROM Sales.Customer SELECT AccountNumber FROM Sales.Customer WHERE TerritoryID = 4 After executing the queries, the sys.dm_db_index_usage_stats dynamic management view is queried:

In this chapter, I covered all the remaining image transformations available from ImageMagick. If you combine all the preceding chapters with this one, you can see that ImageMagick can certainly do a lot for you in the imaging field. Its versatility doesn t stop there, though you can use a number of programmatic interfaces to implement the ImageMagick functionality. The next chapter covers how to annotate existing images and create new images using the ImageMagick drawing facilities. s 8 through 11 will focus on four popular programming interfaces to ImageMagick.

SELECT i.name IndexName, user_seeks, user_scans, last_user_seek, last_user_scan FROM sys.dm_db_index_usage_stats s INNER JOIN sys.indexes i ON s.object_id = i.object_id AND s.index_id = i.index_id WHERE database_id = DB_ID('AdventureWorks') AND s.object_id = OBJECT_ID('Sales.Customer') This returns: IndexName user_seeks user_scans last_user_seek IX_Customer_TerritoryID 1 0 2005-10-15 17:13:35.487 PK_Customer_CustomerID 0 1 NULL last_user_scan NULL 2005-10-15 17:13:34.237

NAME, VALUE: CHARACTER; LENGTH, STATUS: INTEGER (optional); TRIM_NAME: LOGICAL (optional)

The sys.dm_db_index_usage_stats dynamic management view allows you to see what indexes are being used in your SQL Server instance. The statistics are valid since the last SQL Server restart. In this recipe, two queries were executed against the Sales.Customer table. After executing the queries, the sys.dm_db_index_usage_stats dynamic management view was queried. The SELECT clause displayed the name of the index, the number of user seeks and user scans, and the dates of the last user seeks and user scans: SELECT i.name IndexName, user_seeks, user_scans, last_user_seek, last_user_scan The FROM clause joined the sys.dm_db_index_usage_stats dynamic management view to the sys.indexes system catalog view (so the index name could be displayed in the results) on the object_id and index_id: FROM sys.dm_db_index_usage_stats s INNER JOIN sys.indexes i ON s.object_id = i.object_id AND s.index_id = i.index_id The WHERE clause qualified that only indexes for the AdventureWorks database be displayed, and of those indexes, only those for the Sales.Customer table. The DB_ID function was used to get the database system ID, and the OBJECT_ID function was used to get the table s object ID: WHERE database_id = DB_ID('AdventureWorks') AND s.object_id = OBJECT_ID('Sales.Customer') The query returned two rows, showing that the PK_Customer_CustomerID clustered index of the Sales.Customer table had indeed been scanned recently (most likely by the first SELECT * query) and the IX_Customer_TerritoryID nonclustered index had been used in the second query (which qualified TerritoryID = 4). Indexes assist with query performance, but also add disk space and data modification overhead. Using the sys.dm_db_index_usage_stats dynamic management view, you can monitor if indexes are actually being used, and if not, replace them with more effective indexes.

CALL GetLog(LOGIN)

If a performance issue is stumping you, or you d like to check your current indexing strategy for possible improvements, use the Database Engine Tuning Advisor tool. This recipe will demonstrate how to use the Database Engine Tuning Advisor to create recomdatabase:

GetXId()

SELECT Production.Product.Name, Production.Product.ProductNumber, Production.ProductModel.Name AS ModelName, Production.ProductInventory.LocationID, Production.ProductInventory.Shelf, Production.ProductInventory.Bin, Production.ProductCostHistory.StartDate, Production.ProductCostHistory.EndDate, Production.ProductCostHistory.StandardCost FROM Production.Product INNER JOIN Production.ProductCostHistory ON Production.Product.ProductID = Production.ProductCostHistory.ProductID INNER JOIN Production.ProductInventory ON Production.Product.ProductID = Production.ProductInventory.ProductID INNER JOIN Production.ProductModel ON Production.Product.ProductModelID = Production.ProductModel.ProductModelID WHERE Production.ProductInventory.LocationID IN (60) ORDER BY Production.Product.Name For this recipe, the query is saved as a file to C:\Apress\ProductsByLocation.sql where it will be evaluated later on. First, however, Figure 28-16 shows the graphical execution plan of this query. For larger result sets, one common goal for index tuning is to reduce the number of scans in favor of seeks. As you can see from this query s execution plan, some tables use index scan operations while only one table (the ProductCostHistory table) uses an index seek.

ou can use ImageMagick to create images from scratch and annotate existing images. This chapter focuses on showing off that functionality.

CALL HostNm(NAME, STATUS)