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Note that in the execution plan you won't explicitly see the partial scan part of the access method; rather, it's hidden in the Index Scan operator. You can deduce it from the fact that the information box for the operator shows True in the Ordered measure. Here are the performance measures I got for the query: Logical reads: 23 Physical reads: 22 CPU time: 0 ms Elapsed time: 133 ms Estimated subtree cost: 0.0620926 Figure 3-34 has an illustration of the access method over a clustered table, and Figure 3-35 shows the execution plan for the query.

SELECT * FROM Zipcodes WITH (INDEX (Zipcodes_GEOM_Idx)) WHERE GEOM.STIntersects(@point) = 1

Run the following query against BigSessions:

Not all spatial methods can make use of spatial indexes . For GEOMETRY, predicates of the form method = 1 are supported by spatial indexes for these methods: STContains, STEquals, STIntersects, STOverlaps, STTouches, and STWithin . In addition, spatial indexes support predicates that test whether distances are less than (or less than or equal to) a value . For GEOGRAPHY, spatial indexes support the same predicates for those methods that exist: STDistance, STEquals, and STIntersects . When querying using a literal, parameter, or variable against a table, the query processor does not care whether the method is called on the column or the parameter . In other words, all of these queries can produce indexed plans if there is an index on the spatial column:

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SELECT app, MAX(concurrent) AS mx FROM (SELECT app, (SELECT COUNT(*) FROM dbo.BigSessions AS S WHERE T.app = S.app AND T.ts >= S.starttime AND T.ts < S.endtime) AS concurrent FROM (SELECT app, starttime AS ts FROM dbo.BigSessions) AS T) AS C GROUP BY app;

Figure 3-35. Nonclustered index seek + ordered partial scan + lookups against a clustered tale (execution plan)

Note that this is the same query as before (but against a different table). The query will nish in a few seconds, and you will get the execution plan shown in Figure 4-65.

SELECT * FROM Zipcodes WHERE GEOM.STIntersects(@point) = 1; SELECT * FROM Zipcodes WHERE @point.STIntersects(GEOM) = 1; SELECT * FROM Zipcodes WHERE GEOG.STDistance(@point) < 1000; SELECT * FROM Zipcodes WHERE @point.STDistance(GEOG) < 1000;

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Note that the system will not, however, produce indexed plans if the predicate is written with the test value before the equality or inequality . In other words, these queries will not produce indexed plans:

Here are the performance measures I got for this query:

SELECT * FROM Zipcodes WHERE 1 = GEOM.STIntersects(@point); SELECT * FROM Zipcodes WHERE 1000 > @point.STDistance(GEOG);

At rst glance it might seem like the lower branch of the plan is executed once for each of the rows returned from the Index Scan operator The Index Scan operator returns 1,000,000 rows The lower branch of the plan seems to do quite signi cant work per outer row scanning all rows with the same app value as in the outer row and starttime smaller than or equal to the one in the outer row Given such a plan and such a large number of rows involved, it is quite inconceivable that the query would nish in a matter of only four seconds The fact that there s a performance skew here because of bad sample data is elusive The derived table T has only 14 distinct rows (with app, ts values) Observe in Figure 4-65 that the Number of Executions property of the Index Seek operator is 14.

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