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A variety of successful software development techniques have become known collectively as agile programming. Initially having a very loose definition, agile development became codified in the Agile Manifesto (www.agilemanifesto.org) presented by a number of software development luminaries. There are now several formal methodologies such as Scrum and Extreme Programming (XP) that follow agile approaches. The precise value of the full collection of techniques used is debatable, and some shops that pay lip service to agile methodologies don t follow through on all of the agile edicts. Nonetheless, the agile approach is becoming ever more popular, and even in isolation the individual techniques of agile programming are certainly proving their worth. The need to issue frequent deliverables and the encouragement of refactoring present challenges to traditional environments, where tight coupling between components makes for difficulty in achieving the rapid rate of change that Spring can accommodate easily. Spring is not in and of itself an agile framework (there s no such thing) but it does lend support to some of the agile development techniques in various ways. The ease of testing a cleanly decoupled Spring application accommodates the TestDriven Development (TDD) approach. Spring espouses the Don t Repeat Yourself (DRY) principle. This encourages developers to create logic once and only once. Wherever possible, boilerplate code has been abstracted away into standard helper and library classes, and

For example, if you create a snapshot of a 100 GB volume to exist only for an hour, it must be large enough to keep the file system s metadata as well as all data that is changed within that hour In most cases, this means that a 5 GB snapshot is more than enough If, however, your snapshot has to exist for a longer period, the amount of disk space that is used by the snapshot will be larger Using snapshot technology can also be very convenient for making backups of volumes that cannot be closed Imagine, for example, the data volume of a mail server: you cannot just take the mail server down for a couple of hours to make a backup.

Exercise 7-5

The solution then is to make a snapshot of the original volume, back up the snapshot volume (which contains the frozen state of the logical volume at the moment the snapshot was made) and, when the backup is finished, remove the snapshot again This is even something that you can put in.

there are utility classes available to encourage developers to adopt the same approach for their own implementations. Code constructed in accordance with the DRY principle makes refactoring easier, as changes to application logic are localized.

Use the AdventureWorks2008 database to complete this exercise. You can find the solutions in the appendix. 1. Create a temp table called #CustomerInfo that contains CustomerID, FirstName, and LastName columns. Include CountOfSales and SumOfTotalDue columns. Populate the table with a query using the Sales.Customer, Person.Person, and Sales.SalesOrderHeader tables. 2. Change the code written in question 1 to use a table variable instead of a temp table. 3. Create a table variable with two integer columns, one of them an IDENTITY column. Use a WHILE loop to populate the table with 1,000 random integers using the following formula. Use a second WHILE loop to print the values from the table variable one by one.

a shell script and configure with cron so that it runs automatically every night. The procedure described next shows you how to create a snapshot of an existing LVM volume. 1. In the first step, you are using the lvcreate command to make a snapshot volume for the original volume /dev/system/data. The snapshot gets the name databackup. Because the original volume is in the system volume group, the snapshot will be created from that group as well. Do this by using the command lvcreate -L500M -s -n databackup /dev/system/data. Here, the option -L500M makes the snapshot 500 MB, -s makes it a snapshot volume, and -n uses the name databackup. Finally, /dev/system/data refers to the original volume that will be captured in the snapshot.

This chapter focuses on the logic features available T-SQL instead of retrieving or updating data Depending on the task at hand, you may or may not need to use this functionality In my job, I often write or support very complex T-SQL scripts that run once each night The performance of these scripts is not as critical as that of the performance of T-SQL code in an application or a report, but over time I have rewritten several to perform better For example, a programmer from one of our software vendors wrote a custom program for us that created a denormalized table of information from our financial system That table is needed by many other systems in the enterprise The program as originally written took more than an hour to run.