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different scripts as functions within larger scripts Generally though, the more granularity you have, the better, and so it s often best to leave each as a standalone script unless you need to transfer data from one automation to another If you do so, you can then set your certain automations to execute either before or after others Packages, images, and scripts are the major elements of deployment automations in Mac OS X The easiest of these to create and use is probably the image, which houses files that you can copy (or drop) into the file system of a computer as a post-flight task Scripts are useful primarily when you have an extremely small but focused payload one, for example, that simply want enables a service or performs a regex operation on a configuration file.

We then read more data, sorting it as we go, and when memory is full again, we dump the next sorted set to disk, and so on until we have used up the entire input data stream At this point, we have several sorted runs of data on disk, and have to merge them into a single set We have a onepass sort if we have enough memory to read a chunk from every single sorted run at once If you want an idea of what the merge step looks like, record a video of someone dealing a deck of cards, and then play the video backwards.

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Deployment scripts generally are AppleScripts or shell scripts; the former are useful mostly for configuring userland GUI apps that have no command-line interaction Packages can be the most complicated deployment elements but also the most powerful Delivering file-system payloads is the primary purpose of packages, but you can also use them to fire scripts prior to and after performing an installation You can also create packages that, rather than containing a file-system payload, exist solely for the purpose of running pre- or post-action scripts For this reason, packages represent the most feature-rich option Using tools such as Composer or PackageMaker, you can build your own packages, but the easiest implementation method is likely to be reusing the one distributed with the original software installer At first, determining which type of automation to use for each task can be daunting.

The report data source is the last piece in the puzzle of report development. This is the place for all the data we want the report to process and produce output. We ll cover this topic intensively in 3, since it correlates to the data model.

The multipass sort starts like a onepass sort, but it comes into play when all the data has been used up and written to disk, and your session discovers that it does not have enough memory to hold a chunk from every single sorted run at once In this case, you have to merge a few streams, writing a single larger stream back to disk, and then merge a few more streams, writing another larger stream back to disk Eventually, you would have processed all the original streams, and can start reading back and merging a few of the larger streams possibly writing even larger streams back to disk Ultimately, you would be able to merge all the (possibly very large) streams that were left on disk The number of times you have to read the data is referred to as the number of merge passes.

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