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the SQL Server 2005 query plan will look exactly like the SQL Server 2008 plan in Figure 11-14, and all threads (eight in our case) will be used during query execution. But if we use parameters instead of the constants

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SQL Server has to generate the Constant Scan with Nested Loop plan, because we don t know at compile time whether only one partition or more than one partition is accessed. If, for example, the value 20090301 is then substituted for @date1 and 20090331 is substituted for @date2, the query will still be executed on a single thread instead of eight threads, as were used when the query was written without parameters! The preceding problems with parallelism on partitioned tables were addressed when developing SQL Server 2008 by implementing a round-robin strategy when assigning threads to partitions. Therefore, the same query plan is used for one or many partitions and the assignment of threads is adjusted at query startup time.

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I referred to index fragmentation on multiple occasions in this chapter. When I mentioned fragmentation, I referred to a type known as logical scan fragmentation or average fragmentation in percent or external fragmentation . As I mentioned earlier, this type reflects the percentage of outof-order pages in the index, in terms of their physical order vs. their logical order in the linked list. Remember that this fragmentation can have a substantial impact on ordered scan operations in indexes. It has no effect on operations that do not rely on the index's linked listfor example, seek operations, lookups, unordered scans, and so on. You want to minimize the fragmentation level of indexes for queries with a substantial portion of their cost involved with ordered scans. You do so by rebuilding or reorganizing indexes.

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When we write queries accessing partitioned tables, we should rst pay attention to all the normal pitfalls surrounding query plan selection. In addition, partitioned tables bring further challenges in the area of partition elimination, statistics, and parallelism. When writing queries against partitioned tables, pay special attention to partition elimination (for example, ask whether your query provides enough information so that only some partitions will be accessed) and how parallelism works across multiple partitions. We have learned that the best way to investigate any issue affecting query execution is to analyze the Actual Execution Plans that contain information about query execution.

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The material presented in this chapter provide all users, including those new to spatial, the concepts and tools to successfully get started with SQL Server 2008 spatial . For more advanced users, this chapter introduces the basis for extending the spatial model with new T-SQL functions beyond the scope of the original design . As SQL Server matures and spatial type support becomes more ubiquitous, this chapter will be invaluable as an aid to fully using these important new types . A case in point, Microsoft has just released the first public beta of SQL Server 2008 R2 that includes a new Map Report Builder . Although it is relatively easy to generate your first map using this new tool, mastering the basic content of this chapter will provide a much rewarding experience .

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