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Adding more RAM usually alleviates the problems caused by excessive paging. I confess to being a RAM junkie, always looking for excuses to add more memory to my servers. However, it is unprofessional to leap at the first (expensive) solution, and you should perform further investigation before adding RAM. If you encounter a high pages/sec reading, you should next look at the SQL Server Buffer Manager: Buffer Cache Hit Ratio counter. A SQL Server 2005 server should have a Buffer Cache Hit Ratio of 99 percent or higher. If your server has an average Buffer Cache Hit Ratio above 99 percent over a period of 24 hours and your average Pages/sec reading over the same period is greater than 20, check to see what applications other than SQL Server 2005 are running on the server. If possible, move these applications to another server. In general, SQL Server 2005 should be the only major application on a physical server. If your SQL Server is not running any other major applications, an average Pages/sec reading greater than 20 could indicate that someone has changed the SQL Server memory settings. You should configure SQL Server with the Dynamically Configure SQL Server Memory option, and set the Maximum Memory setting to the highest level.

Lesson 4: Designing Database Views . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499

Creating a View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 499

Figure B-10

Ownership Chains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 501

1

Updateable Views . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 502

In some cases, queries that have been parallelized can perform more poorly than the same query running in a serial fashion. The easiest way to determine whether parallelism is causing system performance issues is to follow the normal performance tuning procedures described in 8, and look for CXPacket waits. If a specific SPID is experiencing CXPacket waits, run the query above and note the statement that is executing on that SPID. If it is determined that a specific statement or batch is causing a problem with CXPacket waits, use the MAXDOP 1 query option for that batch and execute it again to see if it performs better. As discussed earlier in this appendix, all user access to data in SQL Server occurs through the buffer cache. When a query is executed, the query engine first checks to see whether the data needed is already present in the buffer cache. If it isn t present, a request is made for the storage engine to read the data into buffer cache. Because the buffer cache is a finite resource, SQLOS must manage the buffer cache very carefully. Developers can assist SQLOS by controlling how their applications access data (for example, group access to similar objects as much as possible), which can help minimize data movement within the buffer cache. SQLOS provides a mechanism in the form of the sys.dm_os_buffer_descriptors DMV that enables developers to peer into buffer cache and determine which objects currently have pages in buffer cache. The following query will provide a list of all objects and the number of pages from that object currently in buffer cache:

Creating an Indexed View . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 503

SELECT count(*)AS cached_pages_count ,name ,index_id FROM sys.dm_os_buffer_descriptors AS bd INNER JOIN ( SELECT object_name(object_id) AS name ,index_id ,allocation_unit_id FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3) UNION ALL SELECT object_name(object_id) AS name ,index_id, allocation_unit_id FROM sys.allocation_units AS au INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND au.type = 2 ) AS obj ON bd.allocation_unit_id = obj.allocation_unit_id WHERE database_id = db_id() GROUP BY name, index_id ORDER BY cached_pages_count DESC;