Tag Archives: Dynamic Variable Instantiation

Virtual List Reporting, part 3

Last year I posted a couple articles on the topic of virtual list reporting (part 1 and part 2), a.k.a. VLR. Today we’re going to look at some additional things you can do with VLR, and to avoid a lot of repetition, this article will assume the reader is familiar with the material covered in part 1, wherein benefits are extolled and fundamentals explained.

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Demo file: VLR-part-3.zip  (3.4 Mb compressed)

Did you notice in parts 1 and 2 that we were limited to producing a single report at a time? Yes, we could sequentially output them and concatenate them into a PDF, but we couldn’t display multiple reports on-screen simultaneously, nor could we interact with them in browse mode.

This time around we’re going to look at a method to produce multiple independent reports concurrently, each in its own window, based on a single virtual list table. This will entail generating a large number of dynamically instantiated $$vars[withReps], so we will also explore a way to automatically clear them out (without the overhead of having to keep track of them during instantiation).

Disclaimer/Warning: before running multiple Customer reports, open your Data Viewer and activate the Watch tab. You don’t want to display the Current tab with 5K or more variables in memory, unless you’ve got a lot of… time… on… your… hands.

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Set Variable by Name

29 July 2017: custom function updated to simplify the clearing of existing vars.

16 April 2017: custom function has been updated to auto-interpret dates (rather than treating them as sequential division problems)… e.g., to recognize “4/16/2017” as a date, as opposed to “4 ÷16 ÷ 2017”.

Recently, in the midst of various reporting and charting projects, I’ve found myself wishing for an easy way to “dynamically instantiate” one or more variables… in other words, set them by name, with the name determined programmatically, as opposed to being hard coded.

This issue has come up from time to time on this blog over the last five years or so, most notably in Dynamic Variable Instantiation, where I observed that…

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…and then proposed an unwieldy mass of gobbledygook as a workaround, e.g.,

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Actually, the preceding isn’t too bad for occasional use, especially if the value you’re passing to the variable is as simple as the GetSummary string shown above. Continue reading

Fast Grid Displays on a WAN

Last October I began a series on Outer Joins, which explored a number of different ways to display summarized information in a grid, and at the time I concluded that the “fastest” method was to leverage the FileMaker relational model. And it was plenty fast, locally… and not too bad on a LAN… and technically, it was the fastest method on a WAN but only because the other methods we looked at were even dog-slower than it was.

I like to test solutions on a WAN, even if they’re only going to be deployed on a LAN, because it’s a great way to uncover performance bottlenecks. But recently I needed to deploy a summarized grid on a WAN, and was incentivised to come up with something faster… and after a bit (well, okay, a lot) of trial and error settled on the approach we’re going to look at today. To cut to the chase, with a million records in the test file, the previous best grid rendering time of 11 seconds on a WAN has been reduced by a factor of 10, to just over one second.

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User-Friendly Excel Exports, part 5

27 Mar 2017: see User-Friendly Excel Exports, part 6 for an updated approach.

Well, we’ve reached what may well be the final posting in this extended series of articles. We’ve covered a lot of ground, and this article assumes familiarity with what has come before (in parts 1, 1.1, 2, 3 and 4).

Today we’re going to look at a couple “Virtual List” implementations of the User-Friendly Excel Export technique, which will, among other things, allow us to eliminate these calculated fields from the Contacts table…

…as well as the corresponding set of fields in Donations.

Bruce Robertson’s Virtual List technique has made a couple previous appearances on FileMaker Hacks…

…so I won’t rehash its merits in detail here, but if you aren’t familiar with it, I recommend you check out one or both of these earlier articles. Continue reading

Array Charting, part 2

Last week we looked at building a FileMaker 11 native chart based on data that has been parsed into a field-based array.

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I happen to like field-based arrays, for reasons I’ll get to in a minute, but is a field-based array really necessary to generate the above chart? Continue reading