This patch set allows to execute Watcher Actions in parallel. New config option max_workers sets max number of threads to work. Implements: blueprint parallel-applier Change-Id: Ie4f3ed7e75936b434d308aa875eaa49d49f0c613
54 lines
1.8 KiB
Python
54 lines
1.8 KiB
Python
# -*- encoding: utf-8 -*-
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# Copyright (c) 2016 Intel Corp
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#
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# Authors: Prudhvi Rao Shedimbi <prudhvi.rao.shedimbi@intel.com>
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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# implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from oslo_config import cfg
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watcher_applier = cfg.OptGroup(name='watcher_applier',
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title='Options for the Applier messaging'
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'core')
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APPLIER_MANAGER_OPTS = [
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cfg.IntOpt('workers',
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default='1',
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min=1,
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required=True,
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help='Number of workers for applier, default value is 1.'),
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cfg.StrOpt('conductor_topic',
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default='watcher.applier.control',
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help='The topic name used for'
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'control events, this topic '
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'used for rpc call '),
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cfg.StrOpt('publisher_id',
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default='watcher.applier.api',
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help='The identifier used by watcher '
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'module on the message broker'),
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cfg.StrOpt('workflow_engine',
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default='taskflow',
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required=True,
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help='Select the engine to use to execute the workflow'),
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]
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def register_opts(conf):
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conf.register_group(watcher_applier)
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conf.register_opts(APPLIER_MANAGER_OPTS, group=watcher_applier)
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def list_opts():
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return [('watcher_applier', APPLIER_MANAGER_OPTS)]
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