81ce132e90
- More information about the actual worker code can be found
in `designate/worker/README.md` and in the inline docstrings
- Stand up a `designate-worker` process with an rpcapi, all
the usual jazz
- Implement a base `Task` class that defines the behavior of
a task and exposes resources to the task.
- Implement CUD Zone tasks, which includes Tasks that poll for zones,
send Notifies, and update status. These are all done in parallel
with threads using a shared threadpool, rather than iteratively.
- Implement a `recover_shard` task that serves the function
of a periodic recovery, but only for a shard. Call that
task with various shards from the zone manager.
- Put some shims in central and mdns so that the worker can
be switched on/off with a few config values.
- Changes Zone Manager -> Producer
- Removes zm rpcapi
- Adds startable designate-producer service
- Makes zone-manager an alias for producer service with a warning log
- Lots of renaming
- Moves zone export to worker
- API now uses central_api.export_zone to get zonefiles
- Central uses worker_api.start_zone_export to init exports
- Now including unit tests
- Temporary workarounds for upgrade/migration move the logic
into central if worker isn't available.
- Deprecates Pool manager polling options and adds warning msg on
starting designate-pool-manager
- Get some devstack going
- Changes powerdns backend to get new sqlalchemy sessions for each
action
- Sets the default number of threads in a worker process to 200,
this is pretty much a shot in the dark, but 1000 seemed like
too many, and 20 wasn't enough.
- Grenade upgrade testing
- Deprecation warnings for zone/pool mgr
The way to run this is simple, just stop `designate-pool-manager`
and `designate-zone-manager`, toggle the config settings in the
`service:worker` section: enabled = true, notify = true
and start `designate-worker` and `designate-producer` and you
should be good to go.
Change-Id: I259e9825d3a4eea58e082303ba3bdbdb7bf8c363
80 lines
2.2 KiB
Python
80 lines
2.2 KiB
Python
# Copyright 2016 Rackspace Inc.
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#
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# Author: Eric Larson <eric.larson@rackspace.com>
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import time
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from concurrent import futures
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from oslo_log import log as logging
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from oslo_config import cfg
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LOG = logging.getLogger(__name__)
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CONF = cfg.CONF
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def default_executor():
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thread_count = 5
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try:
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thread_count = CONF['service:worker'].threads
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except Exception:
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pass
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return futures.ThreadPoolExecutor(thread_count)
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class Executor(object):
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"""
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Object to facilitate the running of a task, or a set of tasks on an
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executor that can map multiple tasks across a configurable number of
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threads
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"""
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def __init__(self, executor=None):
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self._executor = executor or default_executor()
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@staticmethod
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def do(task):
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return task()
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def task_name(self, task):
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if hasattr(task, 'task_name'):
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return str(task.task_name)
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if hasattr(task, 'func_name'):
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return str(task.func_name)
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return 'UnnamedTask'
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def run(self, tasks):
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"""
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Run task or set of tasks
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:param tasks: the task or tasks you want to execute in the
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executor's pool
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:return: The results of the tasks (list)
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If a single task is pass
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"""
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self.start_time = time.time()
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if callable(tasks):
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tasks = [tasks]
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results = [r for r in self._executor.map(self.do, tasks)]
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self.end_time = time.time()
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self.task_time = self.end_time - self.start_time
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task_names = [self.task_name(t) for t in tasks]
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LOG.debug("Finished Tasks %(tasks)s in %(time)fs",
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{'tasks': task_names, 'time': self.task_time})
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return results
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