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There's no covering index because the first key column is the filtered column orderid , but we do have a noncovering onethe PK_Orders index If the query is selective enough, the optimizer would use the index Selectivity is defined as the percentage of the number of rows returned by the query out of the total number of rows in the table The term high selectivity refers to a small percentage, while low selectivity refers to a large percentage Our access method first performs a seek within the index to find the first key in the sought range (orderid = 101 ) The second part of the access method is an ordered partial scan in the leaf level from the first key in the range until the last (orderid = 101 ) The third and last part involves lookups of the corresponding data row for each key.

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Figure 9-10

Note that the third part doesn't have to wait for the second part to finish For each key that is found in the range, SQL Server can already apply a lookup Remember that a lookup in a heap translates to a single page read, while a lookup in a clustered table translates to as many reads as the number of levels in the clustered index (3 in our case) It is vital for making performance estimations to understand that with this access method the last part involving the lookups typically incurs most of the query's cost; this is because it involves most of the I/O activity Remember, the lookup translates to a whole page read or one whole seek within the clustered index per sought row, and the lookups are always random I/O (as opposed to sequential ones).

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The Windows Server 2008 PKI follows the recommendations in the standards document, allowing an organization to deploy a PKI that meets the Security Level 4 protection profile. The Security Level 4 profile defines four PKI management roles:

To estimate the I/O cost of such a query, you can typically focus on the cost of the lookups If you want to make more accurate estimations, also taking into consideration the seek within the index and the ordered partial scan, feel free to do so; but these parts will be negligible as the range grows larger The I/O cost of a seek operation is 3 reads in our case (number of levels in the index) The I/O cost of the ordered partial scan depends on the number of rows in the range (20 in our case) and the number of rows that fit in an index page (more than 600 in our case).

This tab lets you edit the introduction page information, as well as the table of contents The information that appears for the unedited presentation was entered when the presentation was originally created using the New Presentation Wizard 2 To change the information for the introduction page, do the following:.

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For our query, there's actually no additional read involved for the partial scan; that's because all the keys in the range we are after reside in the leaf page that the seek reached, or they might span an additional page if the first key appears close to the end of the page The I/O cost of the lookup operations will be the number of rows in the range (20 in our case), multiplied by one if the table is a heap, or multiplied by the number of levels in the clustered index (3 in our case) if the table is clustered So you should expect around 23 logical reads in total if you run the query against a heap, and around 63 logical reads if you run it against a clustered table.

Here s an example for using the TABLESAMPLE clause in a query against the Orders table, requesting 1,000 rows:

Remember that the non-leaf levels of the clustered index typically reside in cache because of all the lookup operations going through it; so you shouldn't concern yourself too much over the seemingly higher cost of the query in the clustered table scenario Figure 3-32 has an illustration of the access method over a heap, and Figure 3-33 shows the execution plan for the query..

// [Flags] // Commented out now enum Actions { Read = 0x0001, Write = 0x0002, Delete = 0x0004, Query = 0x0008, Sync = 0x0010 } Actions actions = Actions.Read | Actions.Write; // 0x0003 Console.WriteLine(actions.ToString("F")); // "Read, Write"

This query returns employee IDs 11, 12, 13, and 14. So far, you ve seen a UDF implementation of a subtree under a given root, which contains a WHILE loop. The following code has the CTE solution, which contains no explicit loop:

Other alternatives for cross-platform integration include third-party middleware products that span both platforms for example, messaging systems. In addition, there have been numerous announcements about new products designed to execute components from both platforms. We anticipate that many of the predominant J2EE application servers will eventually provide .NET integration capabilities.

get stuck, simply leave irb by typing exit at any time, and start irb again as demonstrated in 1. If this fails, press Ctrl+C, then the Enter key, and then type exit.

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