Before resorting to decompilation, explore these alternatives:
:
Progress r-code is not standard machine code; it is a specialized bit-code executed by the ABL Virtual Machine (AVM). Consequently, general decompilers like Ghidra are not effective for this format.
If you need to know exactly which database tables, fields, and indexes a .r file interacts with, the Cross-Reference ( XREF ) tool is invaluable. It outputs a readable text file mapping every data access point. COMPILE mysource.p SAVE XREF mysource.xrf. Use code with caution. The COMPILE STRING-XREF Option
What was the .r file compiled with?
If you only need to extract text, SQL queries, or hardcoded error messages from a .r file, you do not need a full decompiler.
If you are handed a file with a .r extension but it appears binary, it is likely an R Data Serialize ( .rds ) file or an R Data ( .rdata ) file. These contain serialized R objects—variables, data frames, or functions—saved in a binary format for efficiency.
: You can sometimes view "on-the-fly" debug listings via the Progress debugger if the source is in your , though this isn't true decompilation. Stack Overflow like Ghidra, or are you looking for a to recover a specific file?
Was the code , or is it pure R?
To ensure successful decompilation of Progress .r files:
REBOL (Relative Expression Based Object Language) uses the .r extension for scripts. These are often distributed in a binary format (compressed) to hide source code.
Once loaded into pkg_env , you can use the sink() loop method automated above to write the functions back into a physical .R file. 4. Extracting Code from R Markdown and Notebooks
prepare_data <- function(raw) raw %>% filter(price > 0) %>% mutate(log_price = log(price)) decompile progress .r file
Progress has made it clear for decades that there is no official way to decompile a .r file, and they do not provide any tool for that purpose. The .r files are designed to be a one-way transformation: source code in, compiled code out.
library(progress) files <- list.files(path = "./serialized_objects", pattern = "\\.rds$", full.names = TRUE) pb <- progress_bar$new( format = " Decompiling [:bar] :percent eta: :eta", total = length(files), clear = FALSE, width = 60 ) for (f in files) pb$tick() # Read object and deparse obj <- readRDS(f) if (is.function(obj)) src <- deparse(obj) writeLines(src, paste0(f, "_decompiled.R")) Sys.sleep(0.1) # Simulating processing time Use code with caution. Visualizing Decompilation Pipeline Status
Decompilation is the process of reversing the compilation process, transforming machine code or bytecode back into a high-level programming language that can be understood by humans. In the context of Progress .r files, decompilation involves converting the compiled code into a readable source code that can be edited, modified, or analyzed.