ceph/teuthology/parallel.py

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import logging
import gevent.pool
import gevent.queue
log = logging.getLogger(__name__)
class parallel(object):
"""
This class is a context manager for running functions in parallel.
You add functions to be run with the spawn method::
with parallel() as p:
for foo in bar:
p.spawn(quux, foo, baz=True)
You can iterate over the results (which are in arbitrary order)::
with parallel() as p:
for foo in bar:
p.spawn(quux, foo, baz=True)
for result in p:
print result
If one of the spawned functions throws an exception, it will be thrown
when iterating over the results, or when the with block ends.
At the end of the with block, the main thread waits until all
spawned functions have completed, or, if one exited with an exception,
kills the rest and raises the exception.
"""
def __init__(self):
self.group = gevent.pool.Group()
self.results = gevent.queue.Queue()
self.count = 0
def spawn(self, func, *args, **kwargs):
self.count += 1
greenlet = self.group.spawn(func, *args, **kwargs)
greenlet.link(self._finish)
def __enter__(self):
return self
def __exit__(self, type_, value, traceback):
if value is not None:
self.group.kill(block=True)
return False
try:
# raises if any greenlets exited with an exception
for result in self:
log.debug('result is %s', repr(result))
pass
except:
self.group.kill(block=True)
raise
return True
def __iter__(self):
return self
def next(self):
result = self.results.get()
if isinstance(result, BaseException):
raise result
return result
def _finish(self, greenlet):
if greenlet.successful():
self.results.put(greenlet.value)
else:
self.results.put(greenlet.exception)
self.count -= 1
if self.count <= 0:
self.results.put(StopIteration())