Don't disable GC when running on PyPy

PyPy's incminimark GC can't be triggered manually. From what I observed
there are no obvious issues with just letting it run normally. And
unlike CPython, it actually returns unused RAM to the system.

Signed-off-by: Vincent Breitmoser <look@my.amazin.horse>
This commit is contained in:
Vincent Breitmoser 2018-01-08 01:53:32 +01:00
parent f4284d943a
commit 6d7f0f8dd3
1 changed files with 7 additions and 1 deletions

View File

@ -17,6 +17,7 @@ import logging
import functools import functools
import time import time
import gc import gc
import platform
from twisted.internet import reactor from twisted.internet import reactor
@ -30,6 +31,7 @@ from .process_collector import register_process_collector
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
running_on_pypy = platform.python_implementation() == 'PyPy'
all_metrics = [] all_metrics = []
all_collectors = [] all_collectors = []
@ -174,6 +176,9 @@ def runUntilCurrentTimer(func):
tick_time.inc_by(end - start) tick_time.inc_by(end - start)
pending_calls_metric.inc_by(num_pending) pending_calls_metric.inc_by(num_pending)
if running_on_pypy:
return ret
# Check if we need to do a manual GC (since its been disabled), and do # Check if we need to do a manual GC (since its been disabled), and do
# one if necessary. # one if necessary.
threshold = gc.get_threshold() threshold = gc.get_threshold()
@ -206,6 +211,7 @@ try:
# We manually run the GC each reactor tick so that we can get some metrics # We manually run the GC each reactor tick so that we can get some metrics
# about time spent doing GC, # about time spent doing GC,
if not running_on_pypy:
gc.disable() gc.disable()
except AttributeError: except AttributeError:
pass pass