mirror of
https://github.com/ceph/ceph
synced 2024-12-13 15:08:33 +00:00
84 lines
2.2 KiB
Python
84 lines
2.2 KiB
Python
import logging
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import gevent.pool
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import gevent.queue
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log = logging.getLogger(__name__)
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class parallel(object):
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"""
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This class is a context manager for running functions in parallel.
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You add functions to be run with the spawn method::
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with parallel() as p:
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for foo in bar:
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p.spawn(quux, foo, baz=True)
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You can iterate over the results (which are in arbitrary order)::
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with parallel() as p:
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for foo in bar:
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p.spawn(quux, foo, baz=True)
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for result in p:
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print result
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If one of the spawned functions throws an exception, it will be thrown
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when iterating over the results, or when the with block ends.
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At the end of the with block, the main thread waits until all
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spawned functions have completed, or, if one exited with an exception,
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kills the rest and raises the exception.
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"""
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def __init__(self):
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self.group = gevent.pool.Group()
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self.results = gevent.queue.Queue()
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self.count = 0
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self.any_spawned = False
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def spawn(self, func, *args, **kwargs):
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self.count += 1
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self.any_spawned = True
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greenlet = self.group.spawn(func, *args, **kwargs)
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greenlet.link(self._finish)
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def __enter__(self):
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return self
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def __exit__(self, type_, value, traceback):
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if value is not None:
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self.group.kill(block=True)
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return False
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try:
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# raises if any greenlets exited with an exception
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for result in self:
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log.debug('result is %s', repr(result))
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pass
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except:
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self.group.kill(block=True)
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raise
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return True
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def __iter__(self):
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return self
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def next(self):
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if not self.any_spawned:
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raise StopIteration()
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result = self.results.get()
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if isinstance(result, BaseException):
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raise result
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return result
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def _finish(self, greenlet):
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if greenlet.successful():
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self.results.put(greenlet.value)
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else:
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self.results.put(greenlet.exception)
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self.count -= 1
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if self.count <= 0:
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self.results.put(StopIteration())
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