PyPy’s default minimark garbage collector is configurable through
several environment variables:
- The nursery size.
Defaults to 1/2 of your cache or 4M.
Small values (like 1 or 1KB) are useful for debugging.
- Major collection memory factor.
Default is 1.82, which means trigger a major collection when the
memory consumed equals 1.82 times the memory really used at the end
of the previous major collection.
- Major collection threshold’s max growth rate.
Default is 1.4.
Useful to collect more often than normally on sudden memory growth,
e.g. when there is a temporary peak in memory usage.
- The max heap size.
If coming near this limit, it will first collect more often, then
raise an RPython MemoryError, and if that is not enough, crash the
program with a fatal error.
Try values like 1.6GB.
- The major collection threshold will never be set to more than
PYPY_GC_MAX_DELTA the amount really used after a collection.
Defaults to 1/8th of the total RAM size (which is constrained to be
at most 2/3/4GB on 32-bit systems).
Try values like 200MB.
- Don’t collect while the memory size is below this limit.
Useful to avoid spending all the time in the GC in very small
Defaults to 8 times the nursery.
- Enable extra checks around collections that are too slow for normal
Values are 0 (off), 1 (on major collections) or 2 (also
on minor collections).