Last time I introduced the DataCollector application, but didn’t have room to get into the use of factory classes. There isn’t often a need for a factory class, but they can be useful when you need to create objects at run-time without knowing their class until then.

The general approach involves a function that returns instances of a class based on run-time information. In some cases the instances are limited to a predetermined set of classes, in other cases it can any class the known to the code.

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When I first posted about my DataBridge utility I mentioned the DataCollector, which was a Java-based framework for quickly building apps that interacted via web services with a third-party CRM services provider.

In this post I’ll introduce the DataCollector framework. For obvious proprietary reasons, this will be fairly generic, but I think the basic architecture is worth sharing. It’s a nice example of using factory classes.

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Last time I started the story of my DataBridge application — a Java-based tool for transferring and transforming tabular data, such as TAB, CSV, and XML files. It could also read from and write to ODBC tables.

The app itself was just a framework that implemented a basic IPO model to transfer data. The details were up to the Input, Process (in this case, Mapping), and Output, drivers loaded at run time.

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The last story was about PF.EXE, a file-processing utility I wrote for my own use way back when. That one was a combination of C code and 8086 assembler and written for MS-DOS (worked fine in Windows). It read and wrote disc files and had a toolkit of things it could do to them, depending on command line switches.

Many years later, using Java, I created more capable versions, the culmination of which was a suite called DataBridge. It turned out to be some of the most valuable work I ever did for The Company.

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