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As you might expect, the AVG aggregation returns the average value from the rowset of a column of data. All of the values are summed up and then divided by the number of rows that formed the underlying result set.

1. Our last aggregation example will produce an average value for the share prices found for share ID 1. Enter the following code: SELECT AVG(Price) AvgPrice FROM ShareDetails.SharePrices WHERE ShareId = 1 2. Once you have executed the code, you should see the results shown in Figure 11-15.



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You then declare a variable of type AsyncCallback and instantiate it, passing in the address of the method that you have set up to process the results of the asynchronous call. The AsyncCallback class is a member of the System.Runtime.Remoting.Messaging namespace:

For extremely large data sets, you might wish to limit the number of rows that will be returned. 11. To limit the number of rows, click Yes, then use the spin box control to set the maximum number of rows. Click Next. 12. Enter a name and description for the Data Retrieval Service Connections file, then click Finish to save the file and open the Import Data dialog box. 13. Choose a location for the data, starting at cell A1 of the current worksheet or a new worksheet. Click OK.





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Figure 11-15. Finding the average Now that we have taken a look at aggregations, we can move on to looking at grouping data. Aggregations, as you have seen, are useful, but limited. In the next section, we can expand these aggregations so that they are used with groups of data.

Using aggregations, as has just been demonstrated, works well when you just wish a single row of results for a specific filtered item. If you wish to find the average price of several shares, you may be thinking you need to provide a SELECT AVG() for each share. This section will demonstrate that this is not the case. By using GROUP BY, you instruct SQL Server to group the data to return and provide a summary value for each grouping of data. To clarify, as you will see in the

Excel creates an XML map (see the XML Source task pane in Figure 10-16) and returns the data as an XML list.

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upcoming examples, we could remove the WHERE ShareId=1 statement, which would then allow you to group the results by each different ShareId. The basic syntax for grouping is defined in the following code. It is possible to expand GROUP BY further to include rolling up or providing cubes of information; however, such a discussion falls outside the scope of this book. GROUP BY [ALL] (column1[,column2,...]) The option ALL is a bit like an OUTER JOIN. If you have a WHERE statement as part of your SELECT statement, any grouping filtered out will still return a row in the results, but instead of aggregating the column, a value of NULL will be returned. I tend to use this as a checking mechanism. I can see the rows with values and the rows without values, and visually this will tell me that my filtering is correct. When working with GROUP BY, the main point that you have to be aware of is that any column defined in the SELECT statement that does not form part of the aggregation MUST be contained within the GROUP BY clause and be in the same order as the SELECT statement. Failure to do this will mean that the query will give erroneous results, and in many cases use a lot of resources in giving these results.

1. This first example will demonstrate how to find maximum and minimum values for every share that has a row in the ShareDetails.SharePrices table where the share ID < 9999. This means that the row we added earlier when looking at joins that has no Share record will be excluded. The code is as follows: SELECT ShareId, MIN(Price) MinPrice, Max(Price) MaxPrice FROM ShareDetails.SharePrices WHERE ShareId < 9999 GROUP BY ShareId 2. When the code is executed, you will see the two shares listed with their corresponding minimum and maximum values, as shown in Figure 11-16.

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C# .NET PDF to PNG converter control toolkit from RasterEdge DocImage SDK for .NET is a robust .NET library, which can be used to convert & transform PDF ...












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