If you have an R package (.rda, .RData, or similar), you might consider:
Decompiling a Progress OpenEdge .r file (r-code) to recover original ABL/4GL source code is not natively supported by Progress Software. Progress does not provide any official tools for reverse-engineering these files into human-readable source code like .p, .w, or .cls. Understanding Progress .r Files
Nature of the File: A .r file contains "bit-code" or executable segments optimized for the OpenEdge runtime environment.
Missing Information: Decompilation typically cannot recover 100% of the original source. Elements like variable names, comments, and specific formatting are often lost during the initial compilation process. Recovery and Decompilation Options
Since no official tool exists, you must rely on third-party services or debugging workarounds: Third-Party Recovery Services:
PROGRESS R-code Decompiler: This is a paid recovery service that supports most Progress versions (v6 through v12). It claims a recovery rate of 60–100%, though the resulting source will not be identical to the original. decompile progress .r file
Historical Tools: Older tools like "Pdecode" existed for very early versions (v6/v7), but these are largely outdated and difficult to find. The Debug-Listing Workaround:
If you still have the source code but need to understand how it maps to the compiled version for troubleshooting, you can generate a Debug-Listing.
Use the command: COMPILE .
This generates a text file showing the source code with actual line numbers as they correspond to the compiled .r file. Using the OpenEdge Debugger:
If you have the source files in your PROPATH, the OpenEdge Debugger can step through code "on the fly" by referencing the .r file alongside the source. Important Considerations If you have an R package (
Legal & Ethical: Decompiling software may violate license agreements with Progress Software or the original application developer.
Version Compatibility: R-code is version-specific. You cannot run .r code compiled in an older version of OpenEdge on a newer version that has a different r-code format.
Before proceeding, determine the file type:
You cannot decompile what you do not understand.
This is the detective work. Look at:
Example: If you see:
prepare_data <- function(raw)
raw %>% filter(price > 0) %>% mutate(log_price = log(price))
And in the workspace, raw_data and cleaned_data both exist – you know the pipeline order.
The most basic, legal, and supported way to understand a .r file is using the XREF (Cross-Reference) utility. While it does not give you source code, it gives you a map.
_rcdump myProgram.r > dump.txt
Yes, partially. But there is a massive caveat: There is no official, one-click "decompiler" from Progress Software.
Unlike Java (with JAD or CFR) or .NET (with ILSpy), Progress’s R-code format was designed for performance, not disassembly. However, the community and legacy tooling provide three distinct methods: Check the "Magic Number": If you inspect the
Let’s explore each method in detail.