Para-byond-tracy glues together a byond server the tracy profiler allowing you to analyze and visualize proc calls. This differs from the standard byond-tracy by the nature of it writing to flatfiles inside data/profiler/. While these files can be up to 30 gigabytes in size, they allow the RAM usage of DreamDaemon to remain very low at runtime, which is useful for profiling entire rounds (A profile from a full round needs >48GB of RAM just to view, let alone save at runtime).
Note that the files generated cannot be loaded straight into tracy. You must use replay.py to load the .utracy file and stream "it over the network" (localhost) into capture.exe as part of Tracy. You can stream straight into Tracy.exe, but this is not advised due to performance overhead.
The above script requires the lz4 library with the stream addon. The instructions for that are out of scope of this guide.
Update 2023-12-29: You can now use https://github.com/AffectedArc07/ParaTracyReplay to stream the files much faster than the python script.
Update 2024-04-18: You can now use https://github.com/Dimach/rtracy to stream the files even faster than the C# code, as well as split traces and other cool things.
A massive thanks to mafemergency for even making this possible. The below readme is adapted from the original repo (branch: stream-to-file) https://github.com/mafemergency/byond-tracy/
| windows | linux |
|---|---|
| 515.1637 | 515.1637 |
| 515.1636 | 515.1636 |
| 515.1635 | 515.1635 |
| 515.1634 | 515.1634 |
| 515.1633 | 515.1633 |
| 515.1632 | 515.1632 |
| 515.1631 | 515.1631 |
| 515.1630 | 515.1630 |
| 515.1627 | 515.1627 |
| 515.1626 | 515.1626 |
| 515.1625 | 515.1625 |
| 515.1624 | 515.1624 |
| 515.1623 | 515.1623 |
| 515.1622 | 515.1622 |
| 515.1621 | 515.1621 |
| 515.1620 | 515.1620 |
| 515.1619 | 515.1619 |
| 515.1618 | 515.1618 |
| 515.1617 | 515.1617 |
| 515.1616 | 515.1616 |
| 515.1615 | 515.1615 |
| 515.1614 | 515.1614 |
| 515.1613 | 515.1613 |
| 515.1612 | |
| 515.1611 | 515.1611 |
| 515.1610 | 515.1610 |
| 515.1609 | 515.1609 |
| 515.1608 | 515.1608 |
| 515.1607 | 515.1607 |
| 515.1606 | 515.1606 |
| 515.1605 | 515.1605 |
| 515.1604 | 515.1604 |
| 515.1603 | 515.1603 |
| 515.1602 | 515.1602 |
| 515.1601 | 515.1601 |
| 515.1600 | 515.1600 |
| 515.1599 | 515.1599 |
| 515.1598 | 515.1598 |
| 515.1597 | 515.1597 |
| 515.1596 | 515.1596 |
| 515.1595 | 515.1595 |
| 515.1594 | 515.1594 |
| 515.1593 | 515.1593 |
| 515.1592 | 515.1592 |
| 515.1591 | 515.1591 |
| 515.1590 | 515.1590 |
| 514.* | 514.* |
None built in, you need to reply these.
simply call init from prof.dll to begin writing to a file inside data/profiler
/proc/prof_init()
var/lib
switch(world.system_type)
if(MS_WINDOWS) lib = "prof.dll"
if(UNIX) lib = "libprof.so"
else CRASH("unsupported platform")
var/init = call_ext(lib, "init")()
if("0" != init) CRASH("[lib] init error: [init]")
/world/New()
prof_init()
. = ..()no build system included, simply invoke your preferred c11 compiler. examples:
(AA recommended: If you have the MSVC++ buildchain, open x86 Native Tools Command Prompt for VS 2022 and then cd to this repo. cl should be on your path inside of that CLI environment)
cl.exe /nologo /std:c11 /O2 /LD /DNDEBUG prof.c ws2_32.lib /Fe:prof.dllclang.exe -std=c11 -m32 -shared -Ofast3 -DNDEBUG -fuse-ld=lld-link prof.c -lws2_32 -o prof.dllgcc -std=c11 -m32 -shared -fPIC -Ofast -s -DNDEBUG prof.c -pthread -o libprof.sobyond-tracy is in its infancy and is not production ready for live servers.