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Microsoft SQL Server 2008 Internals
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SQL Server contains a number of special indexes to support speci c use cases. Full-text indexes support document storage, querying, and retrieval. XML indexes are used to support XQuery operations on XML data stored in the database. Spatial indexes, added in SQL Server 2008, support queries over spatial data. These indexes are usually better suited for their speci c domain than a B+ tree index, but they are often speci c to a particular set of use cases. While the Query Optimizer contains support for each of these, they are not conceptually different from B+ tree indexes.
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In SQL Server 2008, full-text indexes have moved from being a completely external construct to being a mostly internal index type. Speci c keywords in SQL grammar tell the system to pick the index implicitly, and this is done before the Optimization process begins. Information about full-text-index generations and other details of the index is abstracted from the Query Optimizer to simplify the maintenance of this index and to avoid recompiles to account for each new index generation.
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XML indexes are somewhat unlike other indexes in that it is actually stored more similarly to an indexed view. It uses the same physical storage as a clustered index, and it also has secondary indexes on various columns. However, this is not matched by the Query Optimizer. Like full-text indexes, XQuery constructs are very speci c in the syntax, and they are taken to imply that the operation should always use this index if it exists. An XML index essentially takes each attribute and value in an XML document and shreds it into its own row. In addition to these values, other columns are added to this structure to store information such as the attribute for a value and its relative location in the document (its path from the root node). This information makes speci c XQuery constructs signi cantly faster when the index is used. Within the query tree representation, XML is represented using a number of nontraditional operators. One of these is the Streaming Table-Valued Function (STVF), which is used for other functionality, including SQL Server s Dynamic Management Objects. This construct allows an XML BLOB to be split into pieces, each returned in one row.
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Spatial indexes are new in SQL Server 2008, and these indexes are matched in the Query Optimizer. Spatial indexes decompose a space and allow points to be indexed. The primary model of a spatial index is to divide areas of the space into regions and then use bounding
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The Query Optimizer
boxes for each region. Within the plan, an STVF generates candidates, based on the encoding function, close to the requested point(s) and the results are used in the rest of the query. Figure 8-76 contains an example spatial index query plan.
CREATE TABLE geo(col1 INT PRIMARY KEY, point GEOGRAPHY); CREATE SPATIAL INDEX spaidx ON geo(point); SELECT * FROM geo WITH (INDEX=spaidx) WHERE geo.point.STEquals('POINT(24.0 24.0)')=1;
FIGURE 8-76 Spatial index example
The spatial index uses more operators in the plan than just the STVF. The rst Constant Scan and Hash Match help reduce duplicates due to the hierarchy encoding. The rst loops join retrieves values from the index structure. The sort is needed to nd duplicate base rows (perhaps there is more than one point for a single database row). The second loops join retrieves any other requested columns from the base table. Finally, the last loops join applies the CLR function as a residual predicate.
Plan Hinting
There is a lot of misinformation about query hints, and often the misuse of hints can cause the creation of global policies for or against the use of hints in queries. One of the goals of this chapter is to give DBAs and developers the tools they need to have a different kind of conversation about the design, implementation, and maintenance of SQL Server applications. This section explains query hints and when to use them.
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