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A common task in a performance-tuning exercise is analyzing the cost of the queries that make up an application s workload. For example, if CPU is a significant system bottleneck, you need to establish which queries consume the most CPU. Profiler enables such analysis through its ability to capture, or trace, the execution of queries along with their associated cost metrics, that is, disk reads and writes, CPU usage, and duration. As we ve just explained, using Profiler as the only performance-tuning tool ignores much more effective options; however, for the purposes of introducing Profiler, let s proceed on that basis with a simple example. SQL Server Profiler can be accessed through the Performance Tools folder of the SQL Server program group. After opening Profiler and choosing File > New Trace,
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Figure 14.5 The General Tab of a Profiler Trace Properties window enables us to select the trace location along with a template and stop time.
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you re prompted with the Connect to Server dialog box, which enables you to select a SQL instance to trace. After connecting to an instance, you re presented with the Trace Properties window, as shown in figure 14.5. After giving the trace a name, you can choose to base the trace on a template, which is used to define the included columns and events on the Events Selection tab, which we ll cover shortly. By default, the output of the trace is displayed to screen only. For this example, we ll choose to save the results to a table for reasons that will become apparent shortly. After entering an optional stop time (a trace can also be manually stopped), click the Events Selection tab, as shown in figure 14.6, to choose the included events and event columns. For the purposes of this example, we ll limit the included events to the RPC:Completed and SQL:BatchCompleted events. These events represent the completion of TSQL batches and stored procedures and include the associated cost metrics. The Column Filters button enables us to apply filters, such as limiting the trace to include events for a particular user or database, or queries exceeding a particular duration or cost. As mentioned earlier, when we launch SQL Profiler via the Activity Monitor s Processors pane, a filter is automatically applied for the selected SPID. Finally, selecting the Show All Events and Show All Columns check boxes enables the inclusion of additional events and columns from the full list, rather than the limited set derived from the selected template on the General tab. Once you re ready, click Run, and the trace begins and database activity matching the selected events and filters is displayed on screen. For this example, a small number
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Figure 14.6 The Events Selection tab enables the selection of events and columns for inclusion in the trace results.
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of queries were executed in Management Studio after the trace was started, the result of which is shown in figure 14.7. A quick inspection of the Profiler trace screen reveals that the values of the Duration, CPU, and Reads columns for the last row are clearly greater than the rest of the captured values. Clicking on this record displays the query text in the lower section of the Profiler window. For a simple example such as this, you can visually browse the small number of captured events. However, when a real trace is run and captured over a period of time representing peak production activity, the number of captured events typically runs into the thousands (or more). Not only does this prevent a visual analysis of activity,
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Figure 14.7 The output of a Profiler trace is shown on screen as well as saved to file and table if these options were chosen.
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