c ocr library open-source

c ocr library open-source

c ocr library

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The access method covering nonclustered index seek + ordered partial scan is almost identical to the previously described access method. The only difference is that the former uses a covering nonclustered index instead of the clustered index. Of course, to use this method the ltered columns must be the rst key columns in the index. The bene t of this access method over the previous one lies in the fact that a nonclustered index leaf page naturally can t more rows than a clustered index one; therefore, the bulk cost of the plan, which is the partial scan cost of the leaf, is lower. The cost is lower because fewer pages need to be scanned for the same size of the range. Of course, here as well, index fragmentation plays an important performance role because the partial scan is ordered. As an example, the following query looking for a range of orderdate values for a given shipperid uses this access method against the covering index idx_nc_sid_od_i_cid, created on the key list (shipperid, orderdate) and included list (custid):

Note that it s important to use an anchor date that is a 31st of some month, such as December, so that if the target month has 31 days the calculation works correctly . To calculate the date of the first day of the year, use an anchor that is a first day of some year, and specify the year part, like so:

SELECT shipperid, orderdate, custid FROM dbo.Orders WHERE shipperid = 'C' AND orderdate >= '20080101' AND orderdate < '20090101';

SELECT DATEADD(year, DATEDIFF(year, '19000101', SYSDATETIME()), '19000101');

You can find more thorough coverage of the subject and more detailed explanations about the terms discussed here in Inside Microsoft SQL Server 2005: The Storage Engine (Microsoft Press, 2006) by Kalen Delaney.

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Note To have the partial scan read the minimum required pages, the rst index key columns must be shipperid, orderdate, in that order. If you swap their order, the partial scan will end up also scanning rows that meet the date range also for other shippers, requiring more I/O. Figure 4-45 shows the execution plan for the query, and Figure 4-46 illustrates the access method.

To calculate the date of the last day of the year, use an anchor date that is the last day of some year:

FIGURE 4-45 Covering nonclustered index seek + ordered partial scan (execution plan)

You need to take several important things into consideration when designing write-intensive systems Unless I explicitly mention otherwise, the discussion here applies to any type of data modification (inserting, deleting, and updating data) In terms of physical design of your database system, remember that modifications affect two sections of the database: the data and the transaction log When a modification takes place, SQL Server first looks for the pages that need to be modified in cache If the target pages are already in cache, SQL Server modifies them there If not, SQL Server will first load the target pages from the data portion of the database into cache, and then modify them there SQL Server writes the change to the transaction log (I'll discuss aspects of logging shortly.

Here are the performance measures I got for this query:

SELECT DATEADD(year, DATEDIFF(year, '18991231', SYSDATETIME()), '18991231');

4

Even though you may find this form a bit awkward, in my opinion the benefits outweigh this awkwardness . Inline table-valued UDFs are by definition inline . This means that SQL Server expands the function s definition and incorporates its inner references inline in the query as if the UDF weren t really there . If you look at the plan for this query, you will find that it is identical to the plan shown earlier in Figure 2-1 for the query that did not contain any function call, but instead contained the original inline expression n + 1 . Of course, as a result, this query also ran for under a second, just like the query with the inline expression . The ability to refer to a table UDF within a subquery and pass attributes from the outer table as input is like an implicit use of the APPLY operator functionality . If you prefer, as an alternative you could use the APPLY operator explicitly, like so:

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