无论我用 PyV8 尝试什么，我总是会遇到大量内存泄漏。即使在使用空字符串执行 eval 时，它似乎仍然会以某种方式泄漏内存。在下面发布的示例中，使用空字符串执行 1000 万次 eval 会生成 320MB 内存，其中只有 20MB 会在之后显式调用垃圾收集器时被收集。上下文是否可达或不再可达似乎对我没有影响。我已经用类似的测试测试了我的 python 本身，它不会泄漏内存。难道我做错了什么？
版本
PyV8 修订版 557，使用 PyV8 的 setup.py 在同一台机器上构建
V8 修订版 19632，使用 PyV8 的 setup.py 在同一台机器上构建
操作系统：Ubuntu 12.04
测试代码
import unittest, gc, os, logging as python_logging
from PyV8 import JSEngine, JSContext
_proc_status = '/proc/%d/status' % os.getpid()
_scale = {'kB': 1024.0, 'mB': 1024.0*1024.0,
'KB': 1024.0, 'MB': 1024.0*1024.0}
def log_memory_usage(intro_text=""):
python_logging.info(
(
'%s process %d now uses %.1f MB resident'
%(intro_text, os.getpid(), resident()/(1024*1024))
).strip()
)
def _VmB(VmKey):
'''Private.
'''
global _proc_status, _scale
# get pseudo file /proc/<pid>/status
try:
t = open(_proc_status)
v = t.read()
t.close()
except:
return 0.0 # non-Linux?
# get VmKey line e.g. 'VmRSS: 9999 kB\n ...'
i = v.index(VmKey)
v = v[i:].split(None, 3) # whitespace
if len(v) < 3:
return 0.0 # invalid format?
# convert Vm value to bytes
return float(v[1]) * _scale[v[2]]
def resident(since=0.0):
'''Return resident memory usage in bytes.
'''
return _VmB('VmRSS:') - since
class TestMemoryWithJSContext(unittest.TestCase):
def test_python_memory_management(self):
def inner():
with JSContext() as ctx:
log_memory_usage("before empty evals")
for index1 in range(1000):
for index2 in range(10000):
ctx.eval("")
log_memory_usage("after empty evals")
JSEngine.collect()
log_memory_usage("before JSContext memory tests")
inner()
JSEngine.collect()
gc.collect()
JSEngine.collect()
gc.collect()
log_memory_usage("after JSContext memory tests and gc")
print "Py gc.garbage:", gc.garbage
class CardEngineTestSuite(unittest.TestSuite):
def __init__(self):
super(CardEngineTestSuite, self).__init__()
self.addTests(unittest.TestLoader().loadTestsFromTestCase(TestPython))
self.addTests(unittest.TestLoader().loadTestsFromTestCase(TestMemoryWithJSContext))
if __name__ == '__main__':
python_logging.basicConfig(level=python_logging.INFO, format='%(asctime)s %(message)s')
unittest.TextTestRunner().run(CardEngineTestSuite())
unittest.TextTestRunner().run(CardEngineTestSuite())
python_logging.info(str(gc.garbage))
输出
.2014-03-28 21:41:34,198 before JSContext memory tests process 110 now uses 14.1 MB resident
2014-03-28 21:41:34,199 before empty evals process 110 now uses 14.4 MB resident
2014-03-28 21:41:55,513 after empty evals process 110 now uses 348.8 MB resident
2014-03-28 21:41:56,926 after JSContext memory tests and gc process 110 now uses 322.3 MB resident
Py gc.garbage: []
.
----------------------------------------------------------------------
Ran 2 tests in 26.838s
OK
.2014-03-28 21:42:01,103 before JSContext memory tests process 110 now uses 322.5 MB resident
2014-03-28 21:42:01,104 before empty evals process 110 now uses 322.5 MB resident
2014-03-28 21:42:25,714 after empty evals process 110 now uses 636.5 MB resident
2014-03-28 21:42:28,459 after JSContext memory tests and gc process 110 now uses 629.3 MB resident
Py gc.garbage: []
.
----------------------------------------------------------------------
Ran 2 tests in 31.532s
OK