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Notice that this page has a Properties tab in addition to the Contents tab. (You learn more about managing folder properties in 8.) Currently, the Adventure Works folder contains only one report, the Sales Summary report that you just published. Click the Sales Summary report link. Reporting Services generates and displays the Sales Summary report:

If you have determined that your SQL Server instance is experiencing excessive recompilations, examine the T-SQL batches that are the cause. There are a number of techniques that your developers can use to reduce the excessive recompilation that you might be experiencing. It might also be caused by a problem with statistics or poor indexes. Consider running the Database Engine Tuning Advisor, discussed in 30, to see what it recommends. More Info For more information on recompilation issues, read the Batch Compilation, Recompilation, and Plan Caching Issues in SQL Server 2005 white paper available at http://www.microsoft.com/technet/prodtechnol/sql/2005/ recomp.mspx Inefficient Query Plans Another potential cause of excessive processor utilization is a high number of computeintensive query plans being generated. Use the sys.dm_exec_query_stats DMV, together with the sys.dm_exec_sql_text(sql_handle) DMV as shown below, to find these processor intensive queries by looking for queries that have consumed the most CPU resources (total_worker_time column).

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SELECT * FROM sys.dm_exec_query_stats AS QueryStats CROSS APPLY sys.dm_exec_query_plan(QueryStats.plan_handle) ORDER BY total_worker_time DESC ;

Another approach is to look for compute-intensive operators such as Hash Matches and Sorts in the sys.dm_exec_cached_plans DMV. This can be done by running the following query and filtering for either '%Hash Match%' or '%Sort%' on the query_plan column:

SELECT * FROM sys.dm_exec_cached_plans AS CachedPlans CROSS APPLY sys.dm_exec_query_plan(CachedPlans.plan_handle) ;

As with excessive recompilations, you will need to identify the poorly executing queries and present your findings to your developers. Again, the cause might be related to poor statistics or inappropriate indexes, so consider running the Database Engine Tuning Advisor. Otherwise, your developers will have to examine their queries and the indexing strategy of the database. They might have to use query hints to override the optimizer, but this should be considered a last resort. Intra-Query Parallelism Queries that are executed using parallel execution plans can be expensive and can be the cause of your high processor utilization. Use the following techniques to identify whether your SQL Server instance is running a large number of parallel queries running:

Look for where the CPU value is greater than the duration value in the RPC:Completed event class using SQL Trace. Look for cached execution plans thathave the Parallelism operator indicating they will potentially run in parallel depending on the activity on your SQL Server instance:

The View tab displays by default when you open a report. Three other tabs are available for this report: Properties, History, and Subscriptions. In this section, you review the Properties page. Later, in 7, you learn more about the other tabs.

It generally makes sense to start identifying, or at least estimating, the desired performance characteristics of the application early in the development life cycle. This can be accomplished most simply by noting the performance characteristics that your users and stakeholders equate with good performance. The notes can be quantified at a later time. Classes of characteristics that frequently correlate to a user s or stakeholder s satisfaction typically include:

SELECT * FROM sys.dm_exec_cached_plans ASCachedPlans CROSS APPLY sys.dm_exec_query_plan(CachedPlans.plan_handle) AS QueryPlan CROSS APPLY sys.dm_exec_sql_text(CachedPlans.plan_handle) AS SQLText WHERE CachedPlans.cacheobjtype = 'Compiled Plan' AND QueryPlan.query_plan.value('declare namespace ns="http://schemas.microsoft.com/sqlserver/2004/07/showplan"; max(//ns:RelOp/@Parallel)', 'float') > 0 ;

The sys.dm_exec_requests, sys.dm_os_tasks, sys.dm_exec_sessions, sys.dm_exec_sql_text and sys.dm_exec_cached_plan DMVs can be queried, as shown below to, to determine whether any currently executing queries are running in parallel. For queries running in parallel, you will see multiple rows for the session_id and request_id columns of the sys.dm_os_tasks DMV. You can retrieve the Transact-SQL code via the sys.dm_exec_sql_text DMV and the execution plan from the sys.dm_exec_cached_plan through their respective handles.

SELECT Requests.session_id, Requests.request_id, MAX(ISNULL(exec_context_id, 0)) AS number_of_workers, Requests.sql_handle, Requests.statement_start_offset, Requests.statement_end_offset, Requests.plan_handle FROM sys.dm_exec_requests AS Requests JOIN sys.dm_os_tasks AS Tasks ON Requests.session_id = Tasks.session_id JOIN sys.dm_exec_sessions AS Sessions ON Requests.session_id = Sessions.session_id WHERE Sessions.is_user_process = 0x1 GROUP BY Requests.session_id, Requests.request_id, Requests.sql_handle, Requests.plan_handle, Requests.statement_start_offset, Requests.statement_end_offset HAVING MAX(ISNULL(exec_context_id, 0)) > 0;

Where total_worker_time column value is greater than the total_elapsed_time column value for the sys.dm_exec_query_stats DMV as shown below. Not all parallel queries will exhibit this behavior.

SELECT * FROM sys.dm_exec_query_stats AS QueryStats CROSS APPLY sys.dm_exec_sql_text(QueryStats.plan_handle) AS SQLText WHERE total_worker_time > total_elapsed_time ;

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Click the Properties tab. The Properties page for the Sales Summary report is displayed:

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