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As we covered in chapter 14, the Data File I/O pane in the new Activity Monitor presents some of this information in graphical form. In closing this section on common performance problems, let s turn our attention to blocking.

After programs and documentation are produced, they are placed in the care of program and documentation librarians The program librarian maintains the online and offline libraries of programs In addition, there may be a librarian responsible for the library of technical documentation, which includes descriptions of programs and how to run them These two individuals ensure that users have all the information necessary to best use the system The ability to organize materials and to retrieve them quickly for users is vital As always, the size of the information systems department governs the number of librarians and how specialized their functions are

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Sohtion: At x = 1, the function has value l/O, which is hard to interpret Using the limit concept the behavior of the function as x approaches 1 is easily understood Note first that if x is greater Y = 1/(x--1) than I , the fhction is positive, and if x is less than 1 the b c t i o n is negative Apparently the fhnction behaves differently as x = l is approached from ix=l either the positive or negative side Remember that on the number line, positive is to the right and negative is to the left In taking the lirnit it is necessary, in this case, to specifjl the direction of approach to 1 Notice how this is done in the notation Fig 2-3

A block occurs when one query wants to access data that is locked by another. Despite blocks and locks being normal, fundamental components of any relational database management system, they present a significant problem in poorly designed databases and transactions. In chapter 14, we covered the use of SQL Server Profiler in determining the presence of deadlocks and blocks exceeding a particular threshold. In this section, we ll cover blocking from a waits perspective.

SQL Server Books Online lists all of the wait types that may be encountered, including an impressive collection beginning with LCK_. All of these represent a wait on a partic-

ular lock being released. For example, a transaction with a shared lock on a row will block a separate transaction that requires an exclusive lock on the same row. In this case, the registered wait type will be LCK_M_X. When the volume of locks and subsequent blocks increases, overall transaction throughput decreases, often accompanied by a reduction in Performance Monitor counters such as SQL Server SQL Statistics:Batch Requests/Sec. To the untrained eye, a severe blocking problem is often met with confusion; users complain of poor performance, but a quick check of the classic Performance Monitor counters (CPU, disk, and so forth) reveals little in the way of server load. When the blocking transaction completes, activity returns to normal. A fundamental component of a good database design is short transaction length with the appropriate isolation level (and usually with an optimistic locking mode). Such topics are beyond the scope of this book: however, should you identify blocking as a top wait type, the sys.dm_db_index_operational_stats function can assist you in investigating the problem further.

Based on experience with y = 1/ x, this function has the same shape, it is just displaced (or translated) 1 unit to the right In y = 1/ x, x = 0 is the asymptote line, but in y = 1 / (x - I ) , x = 1 is the asymptote line Follow the logic of the limit calculations and verifL the graph as shown in Fig 2-3 Graph y = 1/ x2 using limit concepts and notation

One of the purposes of the sys.dm_db_index_operational_stats function is to determine the tables and indexes with the highest occurrence of row lock waits, as shown in listing 17.11.

-- Identify tables and indexes with the highest number of row lock waits SELECT db_name(db_id()) , object_name(s.object_id) as objectname , i.name as indexname , row_lock_count , row_lock_wait_count , cast (100.0 * row_lock_wait_count / (1 + row_lock_count) as numeric(15,2)) as [block %] , row_lock_wait_in_ms , cast (1.0 * row_lock_wait_in_ms / (1 + row_lock_wait_count) as numeric(15,2)) as [avg row lock waits in ms] FROM sys.dm_db_index_operational_stats (db_id(), NULL, NULL, NULL) s INNER JOIN sys.indexes i on s.object_id = i.object_id AND s.index_id = i.index_id WHERE objectproperty(s.object_id,'IsUserTable') = 1 ORDER BY row_lock_wait_count desc

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