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The addProject procedure is called to add a record to the Projects table, as follows: CREATE PROCEDURE addProject ( @id uniqueidentifier, @name varchar(50), @started datetime, @ended datetime, @description varchar(MAX), @newLastChanged timestamp output ) AS INSERT INTO Projects (Id,Name,Started,Ended,Description) VALUES (@id,@name,@started,@ended,@description) SELECT @newLastChanged = LastChanged FROM Projects WHERE Id=@id RETURN Note that this adds only the record to the Projects table; a separate stored procedure adds records to the Assignments table. This stored procedure includes not only an INSERT statement but also a SELECT statement that loads an output parameter value. This is required to support concurrency. Recall that all the tables in the database include a timestamp column, which is incremented automatically each time a row is inserted or updated. As you ll see in 18, the business object must keep track of this value. Since the value changes any time the row changes, the value is returned as the result of any INSERT or UPDATE operation.



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file, then you can delete the original list and its pivot table. You can also delete the sheet that contains the pivot table used in Step 10.

The NXT-G program in Figure 12-10 applies power to the output for five seconds. The power level needs to be only about 25 to get full contraction. The voltage on the wire should be less than 0.3V/cm to prevent it from overheating. Then the program waits five seconds to let the wire cool down and stretch. Audible Start and Stop sounds are generated with Sound blocks, so you can tell when the NXT is switching the power on and off.





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Not only are records added to the Projects table, but the application must allow them to be changed. The updateProject procedure provides this capability, as shown here: CREATE PROCEDURE updateProject ( @id uniqueidentifier, @name varchar(50), @started datetime, @ended datetime, @description varchar(MAX), @lastChanged timestamp, @newLastChanged timestamp output ) AS UPDATE Projects SET Name=@name, Started=@started, Ended=@ended, Description=@description

11. Create a pivot table from the normalized list, with Product in the row area, Month in the column area, and Amount in the data area. Because there s only one data field, the Row Grand Total will automatically sum the Months. In the old version of the pivot table, with 12 month fields, you had to create a calculated field to sum the months.

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WHERE Id=@id AND LastChanged=@lastChanged IF @@ROWCOUNT = 0 BEGIN RAISERROR('Row has been edited by another user', 16, 1) RETURN END SELECT @newLastChanged = LastChanged FROM Projects WHERE Id=@id RETURN Again, this procedure updates the record only in the Projects table; the related records in the Assignments table are updated separately. Notice the @lastChanged parameter required by the procedure. This represents the last known timestamp value for the row. In 18, you ll see how this value is maintained by the business object. When the object attempts to update the row, it provides the last known value for the LastChanged column. If that value hasn t changed in the database, then no other user has updated the row since the object read its data. But if the value has changed in the database, then some other user did change the data in the row since the object read the data. First-write-wins optimistic concurrency specifies that this second update can t be allowed, because it could overwrite changes made by that other user. The UPDATE statement itself uses this parameter in the WHERE clause to ensure that the row is updated only if the value matches. The procedure then checks to see whether the row was actually updated. If no rows were updated, it raises an error, which shows up as a database exception in the data access code of the business object. On the other hand, if the update goes through and the row is changed, then a SELECT statement is executed to return the new value of the LastChanged column as an output parameter so that the object can maintain the new value to allow possible future updates.

You d like to use the normalization technique described in Section 1.8, but you have two columns with text, then your columns of monthly data. The normalization technique only works with one column of text data.

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