Tag: SetVarByName

ExecuteSQL, JSON, Level: Intermediate, Version: FM 16 or later

Virtual List Reporting + JSON

Kevin Frank

Update 29 June 2018: see Virtual List Reporting with JSON Arrays for updated thoughts on this topic.

Today we’re going to look at an alternative approach to the multi-window VLR technique we examined last month in Virtual List Reporting part 3, utilizing and extending techniques introduced in last month’s JSON + Virtual List. To avoid needless repetition, today’s article will assume the reader is familiar with that material.

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Demo files: vlr-plus-json-v1 and vlr-plus-json-v2

As you may recall from VLR Part 3, we have a system that allows us to spawn as many separate reports as we wish (each in its own browse mode window) and sort each report independently via clickable column headings. Continue reading “Virtual List Reporting + JSON” →

Level: Advanced, Version: FM 13 or later, Virtual List

Virtual List Reporting, part 3

Kevin Frank

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.

Continue reading “Virtual List Reporting, part 3” →

Level: Advanced, Version: FM 13 or later, Virtual List

Virtual List Reporting, part 2

Kevin Frank

Welcome back for the second installment in our exploration of Virtual List Reporting (a.k.a. VLR). Demo file: VLR-part-2.zip

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To avoid repetition, this article will assume the reader is familiar with concepts and techniques introduced in part 1 (some of what follows may appear to be gibberish if the reader is not)… but to briefly recap, here are some benefits of VLR:

  • Flexible framework accommodates complex reporting challenges
  • Fast performance (we use the Multifind technique in this demo)
  • No need to tamper with schema in your data tables or on the relationships graph
  • Unlike traditional FM reports, you can easily combine data from unrelated tables (we saw this in report 6 in part 1)
  • Under certain circumstances, VLRs can be much faster to develop than traditional FM reports (as per discussion of report 3 in part 1)
    Continue reading “Virtual List Reporting, part 2” →
Level: Advanced, Version: FM 13 or later, Virtual List

Virtual List Reporting, part 1

Kevin Frank

Self-plagiarism alert: to avoid repeatedly referring the reader back to earlier virtual list articles, portions of text from those earlier articles are incorporated here.

Welcome to the first installment of a multi-part series on producing reports using the virtual list technique, or more properly, collection of techniques. Demo file: VLR-part-1.zip

demo

Invented and popularized by Bruce Robertson, virtual lists are incredibly flexible, and have made a number of appearances here in the past, including… Continue reading “Virtual List Reporting, part 1” →

Level: Advanced, Level: Intermediate, Version: FM 12 or later

Set Variable by Name

Kevin Frank

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 “Set Variable by Name” →