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A merge join turned out to be cost effective here because the rows of the Orders table were presorted on the clustered index key column orderid and it was not too much work to sort the other input in preparation for the merge. In larger production systems, circumstances will most likely be different. With a much larger number of rows and a different clustered index on a column that frequently appears in range queries, perhaps you shouldn t expect to see the same query plan. This is where the APPLY operator comes in handy. It often leads to simple and ef cient plans that perform well even with large volumes of data. Using the APPLY operator in this case leads to a plan that scans the data once to get the current orders and performs a single index seek for each current order to fetch from the covering index all the attributes of the previous order at once. Listing 9-9 has the solution query, which generates the plan shown in Figure 9-8, with an I/O cost of 3,202 logical reads and no sorting involved.



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protected bool CheckForPalindrome() { if (this.Text != null) { String strControlText = this.Text; String strTextToUpper = null; strTextToUpper = Text.ToUpper(); strControlText = this.StripNonAlphanumerics(strTextToUpper); char[] rgcReverse = strControlText.ToCharArray(); Array.Reverse(rgcReverse); String strReverse = new string(rgcReverse); if (strControlText == strReverse) { return true; } else { return false;

SELECT C.empid, C.orderid AS curorderid, P.orderid AS prvorderid, C.orderdate AS curorderdate, P.orderdate AS prvorderdate, C.requireddate AS curreqdate, P.requireddate AS prvreqdate FROM Sales.Orders AS C OUTER APPLY (SELECT TOP (1) orderid, orderdate, requireddate FROM Sales.Orders AS O WHERE O.empid = C.empid AND (O.orderdate < C.orderdate OR (O.orderdate = C.orderdate AND O.orderid < C.orderid)) ORDER BY orderdate DESC, orderid DESC) AS P ORDER BY C.empid, C.orderdate, C.orderid;

Sending data to a server with the WebClient is similar to receiving data. Four methods can be used; they are listed in Table 14-3.

FIGURE 9-8 Execution plan for the query in Listing 9-9





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} } else { return false; }

But a more ef cient solution is based on the ROW_NUMBER function. You can create a CTE that calculates row numbers for orders partitioned by empid and based on orderdate, orderid ordering. Join two instances of the CTE, one representing the current orders and the other representing the previous orders. The join condition will be based on matching empid values and row numbers that differ by one. Listing 9-10 has the solution query, generating the execution plan shown in Figure 9-9.

Method Description Returns a stream that can be used to write data to the server OpenWrite() UploadData() Writes a byte array to the server and returns a byte array representing the response UploadFile() Uploads the contents of a specified file and returns a byte array representing the server response UploadValues() Uploads a series of name/value pairs Each of these four methods is overloaded to accept an HTTP method argument. The default method is POST, but any method can be used. Note that the value of the HTTP method isn't validated against values allowed by the HTTP specification.

9

4 . . Add the PalindromeFound event to the control class:

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WITH OrdersRN AS ( SELECT empid, orderid, orderdate, requireddate, ROW_NUMBER() OVER(PARTITION BY empid ORDER BY orderdate, orderid) AS rn FROM Sales.Orders ) SELECT C.empid, C.orderid AS curorderid, P.orderid AS prvorderid, C.orderdate AS curorderdate, P.orderdate AS prvorderdate, C.requireddate AS curreqdate, P.requireddate AS prvreqdate FROM OrdersRN AS C LEFT OUTER JOIN OrdersRN AS P ON C.empid = P.empid AND C.rn = P.rn + 1 ORDER BY C.empid, C.orderdate, C.orderid;

Locate matching substrings. Perform substring replacement. Split the input text into component parts.

FIGURE 9-9 Execution plan for the query in Listing 9-10

Because the plan scans the covering index only twice to access the order attributes and calculate the row numbers, it incurs a total I/O cost of 12 logical reads, leaving all other solutions lagging far behind in terms of I/O cost. To clean up, run the following code, which drops indexes used for the solutions presented here:

5 . . Open the code file and add a text member variable and a Text property, very much like the other composite control implemented . Unlike binary composite controls, User controls aren t generated with default properties . (There are some minor changes, such as the use of a Label control instead of the Literal control for accepting the palindrome status, so be sure to make the necessary adjustments if you copy and paste code from the previous control .)

In .NET, these actions are all initiated through methods of the Regex instance. In Java, splitting the input text is initiated from the Pattern instance, but matching and replacing requires the instantiation of a java.util.regex.Matcher object using the Pattern.matcher factory method. This is where the .NET and Java models diverge significantly. We'll cover matching, replacing, and splitting of input text in the following sections.

DROP INDEX Sales.Orders.idx_eid_od_oid_i_cid_rd; DROP INDEX Sales.Orders.idx_eid_odD_oidD_i_cid_rd; DROP INDEX Sales.OrderDetails.idx_oid_qtyd_pid;

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