mirror of https://github.com/docker/compose.git
Abort operations if their dependencies fail
Signed-off-by: Aanand Prasad <aanand.prasad@gmail.com>
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@ -32,7 +32,7 @@ def parallel_execute(objects, func, get_name, msg, get_deps=None):
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for obj in objects:
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writer.initialize(get_name(obj))
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q = setup_queue(objects, func, get_deps, get_name)
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q = setup_queue(objects, func, get_deps)
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done = 0
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errors = {}
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@ -54,6 +54,8 @@ def parallel_execute(objects, func, get_name, msg, get_deps=None):
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elif isinstance(exception, APIError):
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errors[get_name(obj)] = exception.explanation
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writer.write(get_name(obj), 'error')
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elif isinstance(exception, UpstreamError):
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writer.write(get_name(obj), 'error')
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else:
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errors[get_name(obj)] = exception
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error_to_reraise = exception
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@ -72,60 +74,74 @@ def _no_deps(x):
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return []
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def setup_queue(objects, func, get_deps, get_name):
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def setup_queue(objects, func, get_deps):
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if get_deps is None:
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get_deps = _no_deps
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results = Queue()
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output = Queue()
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def consumer():
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started = set() # objects being processed
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finished = set() # objects which have been processed
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def ready(obj):
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"""
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Returns true if obj is ready to be processed:
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- all dependencies have been processed
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- obj is not already being processed
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"""
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return obj not in started and all(
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dep not in objects or dep in finished
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for dep in get_deps(obj)
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)
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while len(finished) < len(objects):
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for obj in filter(ready, objects):
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log.debug('Starting producer thread for {}'.format(obj))
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t = Thread(target=producer, args=(obj,))
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t.daemon = True
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t.start()
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started.add(obj)
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try:
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event = results.get(timeout=1)
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except Empty:
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continue
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obj = event[0]
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log.debug('Finished processing: {}'.format(obj))
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finished.add(obj)
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output.put(event)
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def producer(obj):
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try:
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result = func(obj)
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results.put((obj, result, None))
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except Exception as e:
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results.put((obj, None, e))
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t = Thread(target=consumer)
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t = Thread(target=queue_consumer, args=(objects, func, get_deps, results, output))
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t.daemon = True
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t.start()
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return output
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def queue_producer(obj, func, results):
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try:
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result = func(obj)
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results.put((obj, result, None))
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except Exception as e:
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results.put((obj, None, e))
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def queue_consumer(objects, func, get_deps, results, output):
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started = set() # objects being processed
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finished = set() # objects which have been processed
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failed = set() # objects which either failed or whose dependencies failed
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while len(finished) + len(failed) < len(objects):
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pending = set(objects) - started - finished - failed
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log.debug('Pending: {}'.format(pending))
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for obj in pending:
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deps = get_deps(obj)
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if any(dep in failed for dep in deps):
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log.debug('{} has upstream errors - not processing'.format(obj))
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output.put((obj, None, UpstreamError()))
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failed.add(obj)
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elif all(
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dep not in objects or dep in finished
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for dep in deps
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):
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log.debug('Starting producer thread for {}'.format(obj))
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t = Thread(target=queue_producer, args=(obj, func, results))
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t.daemon = True
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t.start()
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started.add(obj)
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try:
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event = results.get(timeout=1)
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except Empty:
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continue
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obj, _, exception = event
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if exception is None:
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log.debug('Finished processing: {}'.format(obj))
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finished.add(obj)
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else:
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log.debug('Failed: {}'.format(obj))
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failed.add(obj)
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output.put(event)
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class UpstreamError(Exception):
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pass
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class ParallelStreamWriter(object):
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"""Write out messages for operations happening in parallel.
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@ -0,0 +1,73 @@
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from __future__ import absolute_import
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from __future__ import unicode_literals
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import six
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from docker.errors import APIError
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from compose.parallel import parallel_execute
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web = 'web'
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db = 'db'
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data_volume = 'data_volume'
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cache = 'cache'
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objects = [web, db, data_volume, cache]
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deps = {
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web: [db, cache],
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db: [data_volume],
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data_volume: [],
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cache: [],
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}
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def test_parallel_execute():
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results = parallel_execute(
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objects=[1, 2, 3, 4, 5],
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func=lambda x: x * 2,
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get_name=six.text_type,
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msg="Doubling",
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)
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assert sorted(results) == [2, 4, 6, 8, 10]
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def test_parallel_execute_with_deps():
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log = []
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def process(x):
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log.append(x)
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parallel_execute(
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objects=objects,
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func=process,
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get_name=lambda obj: obj,
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msg="Processing",
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get_deps=lambda obj: deps[obj],
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)
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assert sorted(log) == sorted(objects)
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assert log.index(data_volume) < log.index(db)
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assert log.index(db) < log.index(web)
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assert log.index(cache) < log.index(web)
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def test_parallel_execute_with_upstream_errors():
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log = []
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def process(x):
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if x is data_volume:
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raise APIError(None, None, "Something went wrong")
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log.append(x)
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parallel_execute(
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objects=objects,
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func=process,
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get_name=lambda obj: obj,
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msg="Processing",
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get_deps=lambda obj: deps[obj],
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)
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assert log == [cache]
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