For my use case, I can't statically link my supporting libraries. Also, current Linux distributions seem to make this difficult to accomplish for certain situations. But I needed my application binaries to run on 10-year old Linux systems.
I also didn't want to limit myself to an ancient 10-year old C/C++ compiler. I also found that the hardware I needed to use prevented me from installing a 10 year old Linux distribution for some reason.
So, I did this:
- Installed docker.
- Within a docker instance, install a 10-year old Linux system (I used Debian's Lenny distribution). This has the added advantage of making this build system available to any other machine that can run docker.
- Within the docker instance, build the current GNU compilers (8.3.0 when I did this).
This gave me a modern compiler that compiled binaries that would run on very old Linux systems. I did this for both 32-bit and 64-bit processors.
From there, I created a series of scripts that allowed me to use the docker-contained cross-compiler to build all my supporting libraries. I made sure to set the rpath to my compiled binaries to a path relative to my binaries (using -Wl,-rpath,$ORIGIN/../lib
), and a built a script to retrieve any supporting libraries from the compiler, using g++ -print-search-dirs
to get the paths, ldd
to get the supporting libraries I needed from my binaries, and some aggressive bash scripting to find the supporting libraries existing within the search-dirs from g++
, dropping these libs into the rpath I set up.
From there, I package my binary accordingly, with all supporting libs.
Yeah, this is somewhat painful, but it results in a fully functioning binary capable of working on ridiculously old linux systems without having to install different Linux distributions on multiple virtual machines.
I tried creating a proper cross-compiler (native to the current Linux distribution hosting my docker images), but found it too difficult to work with, even with the best tools I could find to help me. Compiling the compiler within a docker image took far less of my time, and worked rather smoothly.