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Professional SQL Server™ 2005 Integration Services by Mike Murphy, Haidong Ji, Jason Gerard, Erik Veerman, Andy Leonard, Kathi Kellenberger, Douglas Hinson, Darren Green, Allan Mitchell, Brian Knight

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9.4. Scaling Out

You will no doubt already be familiar with the term scaling out, and of course the concept can be applied to SSIS systems. Although there are no magic switches here, there are several interesting features of SSIS, and you will see how they can be applied. Following this combined theme, you will learn how these strategies benefit reliability as well.

9.4.1. Scale Out Memory Pressures

By design, the pipeline processing takes place almost exclusively in memory. This makes for faster data movement and transformations, and a design goal should always be to make a single pass over your data. In this way, you eliminate the time-consuming staging and the costs of reading and writing the same data several times. The potential disadvantage of this is that for large amounts of data and complicated sets of transformations, you need a large amount of memory, and it needs to be the right type of memory for optimum performance.

The virtual memory space for 32-bit Windows operating systems is limited to 2 GB by default. Although you can increase this amount through the use of the /3GB switch applied in the boot.ini file, this often falls short of the total memory available today. This limit is applied per process, which for your purposes means a single package during execution, so by partitioning a process across multiple packages, you can ensure that each of the smaller packages is its own process and therefore takes advantage of the full 2–3 GB virtual space independently. ...

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