TLDR: Run PrecompileAfterUpdate.precompile() after an Julia update, wait some minutes and enjoy the next weeks without unexpected precompilations.
This package serves one purpose. After upgrading Julia to a new version unexpected precompilations can happen when the non-default environment is used because packages need to be precompiled again for the new Julia version. This packages crawls through your existing manifest files and precompiles them if their last usage is within a certain timeframe. This can take some minutes if many environments are precompiled (on my desktop machine like 30 minutes or more).
julia> using PrecompileAfterUpdate
help?> PrecompileAfterUpdate.precompile
precompile(fname=".julia/logs/manifest_usage.toml";
time_diff=Dates.CompoundPeriod(Dates.Day(30)))
Precompile the environments listed in the TOML file `fname` if the last time
they were used is smaller than `time_diff`.
As default `time_diff` is set to 30 days,
so all manifests which have been activated in the last 30 days are precompiled.
`fname` is the path to the TOML file that contains the information
about the last time an environment on your machine was used.
So this script precompiles the environments that were used in the last 30 days.
This is especially useful to save unexpected precompilation time after updating Julia
julia> PrecompileAfterUpdate.precompile()
[ Info: Precompiling /home/fxw/.julia/dev/SpatiallyVaryingConvolution.jl/Manifest.toml
Activating project at `~/.julia/dev/SpatiallyVaryingConvolution.jl`
Precompiling project...Julia only stores 10 different precompilation files for a package by default.
In my case, I set export JULIA_MAX_NUM_PRECOMPILE_FILES=50 to have a maximum amount of 50 files. This number is most likely high enough. But be aware that this can make your .julia folder larger.