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help determine the best location to acquire resources When a task is enqueued, the load factor is increased When a task is completed, the load factor is decreased Using the load factors helps SQLOS to evenly distribute system workload On multiprocessor systems, performance problems can arise due to the way the SQL Optimizer chooses to parallelize a particular query plan When a query is first examined by the optimizer, a decision is made regarding whether the query should be run serially or there are instead portions of the query that can run in parallel The number of query portions that the optimizer chooses to run in parallel is known as the degree of parallelism SQL Server 2005 automatically detects the best degree of parallelism for each query It does this based on the following criteria, which are evaluated in the following order: 1.

Exam Tip Typically, an exam question presents you with a screen shot of the report view of a performance log, showing the average values for a number of counters. The question asks you to determine which resource is under pressure. You should, therefore, know which counters monitor which resources, and what the acceptable average values are for at least the commonly used counters listed in this lesson.

Lesson Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485

Whether SQL Server is running on a computer that has more than one processor 2 Whether sufficient threads are available Each query or index operation requires a certain number of threads to execute Executing a parallel plan requires more threads than a serial plan, and the number of required threads increases with the degree of parallelism 3 The type of query or index operation executed Index operations that create or rebuild an index, or drop a clustered index, and queries that use processor cycles heavily are the best candidates for a parallel plan For example, joins of large tables, large aggregations, and sorting large result sets are good candidates For simple queries, which are frequently found in transaction-processing applications, the additional coordination required to execute a query in parallel outweighs the potential performance boost.

Lesson Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485

Lesson 3: Planning Indexes. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487

To distinguish between queries that benefit from parallelism and those that do not benefit, SQLOS compares the estimated cost of executing the query or index operation with the cost threshold for parallelism value 4 Whether there are a sufficient number of rows to process If the query optimizer determines that the number of rows is too low, it does not introduce parallel operations 5 Whether current distribution statistics are available In earlier versions of SQL Server, the database engine abandoned parallel plans if the available statistics prevented the database engine from providing the highest degree of parallelism In SQL Server 2005, if the highest degree of parallelism is not possible, lower degrees are considered before the parallel plan is abandoned For example, when you create a clustered index on a view, distribution statistics cannot be evaluated, because the clustered index does not yet exist.

When the values returned by your Performance counters indicate pressure on a resource, you should take action to clear the bottleneck and to solve any problems that might be causing it. Often, the professional response is not to add more memory, more hard disk resource, more processor power, or faster network connections, but rather to identify and solve the underlying problems. You might need to tackle resource problems in the following areas: