Tuning Software for Production
Run MPF in production mode
YAML is quite slow to parse and reading configs dominates the startup time of MPF and MPF-MC. This is mostly fine during development and we can partially mitigate the costs by caching. However, things are different when running a production machine as caching will not work on a cold boot with a typical read-only setup. Usually production machine setups use less beefy computers with slower disks which makes thinks even worse.
Starting with version 0.54 MPF has a production mode which will use pre-compiled config bundles for much faster start-up times. Additionally, this will disable some expensive config and runtime validations to increase performance. Furthermore this will reduce the amount of debug output.
mpf build production_bundle which will create
mpf_mc_config.bundle. You have to recreate
those files after every config, mode or show change. Those bundles
include all yaml files but not any other assets (such as videos or
sounds). Second, add the
-P flag to the commandline to run MPF in
MPF will also try to keep running in some cases instead of exiting the
game. This will not be helpful to find bug but a when you ship machines
you won't see the log anyway. Finally, MPF will try to initialize for
30s and then exit in case something went wrong. You can use that to
run MPF in a while loop or to reboot your PC in case initialization went
Run MPF without text UI
Text UI costs some performance so disable it in production or on less
powerful hardware in general. You can do this by adding the
-t flag to
the MPF commandline.
Install the latest Python version
For instance, MPF runs significantly faster on Python 3.6 than on 3.5. Similarly, 3.5 is faster than 3.4. We expect the same for the next releases. You might not need this if you are using PyPy.
When running MPF on linux install
uvloop will reduce latency and
increase throughput for I/O operations. This will keep your game
pip3 install uvloop
MPF will use uvloop once it is available.
Run MPF with PyPy
PyPy is a replacement for standard Python. It uses a Just-in-time compiler that makes it facter and often use less memory. PyPy does not support all Python code, and currently works for MPF, but not for MPF-MC because kivy is not yet compatible with PyPy. Performance and latency improvements are around 10x in our benchmarks so this might be essential on low-end hardware. Download PyPy and install it. Since PyPy is a separate Python environment you need to install pip and reinstall all pip packages for PyPy.
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
pypy -m pip install mpf
Afterward, you can start MPF within your game folder using:
pypy -m mpf game
Instead of the
mpf command just use
pypy -m mpf. For
pypy -m pip.
You still need to run MPF-MC using normal Python. This might change in the future.
Some random hints
- Optimize assets for your hardware. Audio should have the same sampling rate as your hardware is using. Images and videos should be at native resolution to prevent scaling up or down.
- Re-encode your videos in a codec which can be efficiently decoded on your target hardware.
- Let us know if we missed something here.
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