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from the memory-based page buffer pool, avoiding the need to read from disk at all Even further, some queries may take more memory than is available in the server for the query in this case, the costing component needs to determine that some pages get evicted from the buffer pool and must be reread, either randomly or sequentially The Optimizer uses logic to consider all these conditions, and the process of determining the actual cost for an operator can take awhile to calculate All these considerations help make sure that SQL Server does the best job possible to select a good query plan for each query To make the Query Optimizer more consistent, the development team used several assumptions when creating the costing model First, a query is assumed to start with a cold cache.

As with SQL Trace events, XE events can be ltered so that only interesting events are recorded. You may wish to record, for example, only events that occur in a speci c database, or which red for a speci c session ID. In keeping with the design goal of providing the most exible experience possible, XE predicates are assigned on a per-event basis, rather than to the entire session. This is quite a departure from SQL Trace, where lters are de ned at the granularity of the entire trace, and so every event used within the trace must abide by the overarching lter set. In XE, if it makes sense to only lter some events and to leave other events totally un ltered or ltered using a different set of criteria that is a perfectly acceptable option. From a metadata standpoint, predicates are represented in sys.dm_xe_objects as two different object types: pred_compare and pred_source. The pred_compare objects are comparison

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} spriteBatch.End(); base.Draw(gameTime); }

This means that the query processor assumes that each initial I/O for a query requires reading from disk In a very small number of cases (usually small, OLTP queries), this may cause the Query Optimizer to pick a slightly slower plan that optimizes for the number of initial I/Os required to complete the query The cold-cache assumption is a simpli cation that allows the query processor to generate plans more consistently, but it is a (small) difference between the mathematical model used to compare plans and reality Second, random I/Os are assumed to be evenly dispersed over the set of pages in a table or index.

Tip You can also right-click the task name and in the shortcut menu that appears, click Scroll to Task.

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If a non-indexed based table (a heap) has 100 disk pages and the query is doing 100 random bookmark-based lookups into the heap, the Query Optimizer assumes that 100 random I/Os occur in the query because it assumes that each target row is on a separate page Like the statistical column correlation example earlier in the chapter, this assumption also does not always hold The actual set of rows could be clustered physically on the same pages (perhaps they were all inserted at the same time and thus ended up on adjacent pages), and it may only require ve I/Os to read the rows of interest In this case, the Query Optimizer would overcost this query This also rarely happens, but it is valuable to understand that the mathematical model used for costing is just that a model.

Rather than using white as the drawing color, this version of Draw uses the color it creates based on the red, green, and blue intensity values.

Depending on the application context from which a certain page is invoked, the page might generate different results. The same page can be called to operate with different parameters, can be configured using different HTTP headers, can produce different output based on the requesting browser, and so forth. ASP.NET allows you to cache multiple versions of a page response; you can distinguish versions by GET and POST parameters, HTTP headers, browser type, custom strings, and control properties.

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