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Orders fact table customer_ key 1499 BEFORE AFTER Customer dimension table customer_ key 1011 1022 1302 1499 2507 customer_ id 1140400 3305300 7733300 9900011 9900011 customer_ name Davis, Robert date_of_ birth state More attributes... day_key 2322 product_ key 10119 quantity _ordered 5

List the names, offices, and hire dates of all salespeople. SELECT NAME, REP_OFFICE, HIRE_DATE FROM SALESREPS NAME --------------Bill Adams Mary Jones Sue Smith Sam Clark Bob Smith Dan Roberts Tom Snyder Larry Fitch Paul Cruz Nancy Angelli REP_OFFICE ---------13 11 21 11 12 12 NULL 21 12 22 HIRE_DATE --------12-FEB-88 12-OCT-89 10-DEC-86 14-JUN-88 19-MAY-87 20-OCT-86 13-JAN-90 12-OCT-89 01-MAR-87 14-NOV-88

Tuning performance options at the database level involves examining all the operations that are being performed on that database over time. Normally, if you re an applications developer, you can get a pretty good idea of how the system will perform overall based on this information. Fortunately, SQL Server includes the SQL Server Profiler tool for measuring database server performance at several levels. In this section, we ll walk through using SQL Server Profiler and then look at how this information can be used to optimize performance.

1/2/1965 DC Nguyen, Tamara Rodriguez, 4/5/1972 MA Jason Johnson, Sue Johnson, Sue 3/2/1971 AZ 3/2/1971 CA Row added for new version of Sue

SQL Server Profiler can be used to monitor the performance of queries as they occur. It can display information about user logins, connections to the server, and starting and completion times for database transactions. SQL Server Profiler works by using traces. These are files containing data about the events that you choose to monitor. Information obtained from running a trace file can be

In contrast, the following query produces a single row because only one salesperson has the requested employee number. Even though this single row of query results looks less "tabular" than the multi-row results, SQL still considers it to be a table of three columns and one row. What are the name, quota, and sales of employee number 107 SELECT NAME, QUOTA, SALES FROM SALESREPS WHERE EMPL_NUM = 107

Orders fact table customer_ key 1499 2507 day_key 2322 4722 product_ key 10119 20112 quantity _ordered 5 1 Old fact references historic version of Sue New fact references revised version of Sue

4:

Figure 3-8

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stored in a text file or in a SQL Server database table. You can launch SQL Server Profiler directly from the SQL Server 7 program group or from within Enterprise Manager by using the Tools menu. To create a new trace, do the following: 1. Open Profiler from the Microsoft SQL Server program group. 2. Select File | New | Trace. Enter a trace name and select the server you want to monitor. 3. Choose to save the collected information to a text file or to a SQL Server database. 4. In the Events tab, add the events you want to monitor:

Figure 3-8 illustrates a type 2 response to Sue s change of address. In the before section of this diagram, there is a record in the dimension table that shows customer_id 9900011 (Sue) as residing in the state of Arizona (AZ). This row has a surrogate key value of 1499. A row in the fact table contains this key value, indicating that Sue has placed an order.

The lower portion of the dialog box will give you a brief description of each item. 5. In the Data Columns tab, choose the type of information you want to view for each event. Again, a brief description of each column type is provided. 6. Finally, on the Filters tab, you can select specific criteria to include and exclude in events for this trace. 7. Click OK to save the trace file you ve created. To execute the trace, select File | Run Traces and select either a sample trace or one that you ve created. A screen will appear showing information related to monitored events, as shown in Figure 4-16. You can run multiple traces at once to record different kinds of information (for example, query performance and overall server statistics).