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This section s example implements an Excel aggregation for SQL Server 2005. We ll build an aggregation that receives a set of column data and returns the variance of the data. If you have used Excel, then you ll recognize that this example is the same as Excel s VarP (population variance) function.

The only other new code is in the viewDidLoad method. The first thing we do is open the database. If we hit a problem opening the database, we close it and raise an assertion:

if (sqlite3_open([[self dataFilePath] UTF8String], &database) != SQLITE_OK) { sqlite3_close(database); NSAssert(0, @ Failed to open database ); }

<serviceBehaviors> <behavior name="servicebehavior"> <serviceDiscovery /> </behavior> </serviceBehaviors> 2. Second, you make your service listen to the WS-Discovery messages. This is done by adding a UdpDiscoveryEndpoint, either imperatively or in the config file. This step makes your service ready to receive and interpret WS-Discovery messages from different clients on the network. Optionally, your service can send a multicast message on the network. This is achieved by adding a new UdpAnnoucement endpoint to the list of service endpoints mentioned in the preceding example.

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Next, we have to make sure that we have a table to hold our data. We can use SQL CREATE TABLE to do that. By specifying IF NOT EXISTS, we prevent the database from overwriting existing data. If there is already a table with the same name, this command quietly exits without doing anything, so it s safe to call every time our application launches without explicitly checking to see if a table exists.

char *errorMsg; NSString *createSQL = @ CREATE TABLE IF NOT EXISTS FIELDS (ROW INTEGER PRIMARY KEY, FIELD_DATA TEXT); ; if (sqlite3_exec (database, [createSQL UTF8String], NULL, NULL, &errorMsg) != SQLITE_OK) { sqlite3_close(database); NSAssert1(0, @ Error creating table: %s , errorMsg); }

To quickly summarize, the VarP function takes a set of scores and finds the mean of those scores. From the mean, it iterates around each of the values and subtracts the mean from that score, and squares the result and total. It then divides the total achieved so far by (the number of values 1) and gets the square root of the result. For this example, we ll need to have an array of data holding the values from the column we re completing a variance on. Because we re using an array which is a reference type we ll have to write our own serialization code. When testing the example, we build a table with five rows with the values 8, 8, 9, 12, and 13. The mean of these values is 10. If we then iterate around each value, subtracting the mean, we ll end up with five values of 2, 2, 1, 2, and 3. We square each of these values, so we get 4, 4, 1, 4, and 9, which when we total comes to 22. Finally, we divide 22 by 5, which gives us 4.4. Let s take a look at the code for the aggregation. We ll first create a SQL Server project in VS 2005 called MyVarP and add an aggregation to it called MyVarP.cs. We re going to serialize our aggregation, so we ll need the InteropServices namespace. We ll also import the System.Collections.Generic namespace for the List<T> object that we ll use to hold the values passed in. using using using using using using using System; System.Data; System.Data.SqlClient; System.Data.SqlTypes; Microsoft.SqlServer.Server; System.Runtime.InteropServices; System.Collections.Generic;

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