c19c4dca00
- Improve/Simplify python runtime - Use non-locking for communication with db when invoking function. - Add config option to run job handler. - Pre-fetch runtime when query function in db. Change-Id: I9e791aecf03d5bf64a39548e6c9bad1b678882af
79 lines
2.4 KiB
Python
79 lines
2.4 KiB
Python
# Copyright 2017 Catalyst IT Limited
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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 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_log import log as logging
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from qinling.db import api as db_api
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from qinling.db.sqlalchemy import models
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from qinling import exceptions as exc
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from qinling import status
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LOG = logging.getLogger(__name__)
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def _update_function_db(function_id):
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# NOTE(kong): Store function info in cache?
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func_db = db_api.get_function(function_id)
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runtime_db = func_db.runtime
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if runtime_db and runtime_db.status != status.AVAILABLE:
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raise exc.RuntimeNotAvailableException(
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'Runtime %s is not available.' % func_db.runtime_id
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)
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# Function update is done using UPDATE ... FROM ... WHERE
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# non-locking clause.
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while func_db:
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count = func_db.count
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modified = db_api.conditional_update(
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models.Function,
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{
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'count': count + 1,
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},
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{
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'id': function_id,
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'count': count
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},
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insecure=True,
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)
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if not modified:
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LOG.warning("Retrying to update function count.")
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func_db = db_api.get_function(function_id)
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continue
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else:
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break
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return func_db.runtime_id
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def create_execution(engine_client, params):
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function_id = params['function_id']
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is_sync = params.get('sync', True)
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runtime_id = _update_function_db(function_id)
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params.update({'status': status.RUNNING})
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db_model = db_api.create_execution(params)
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engine_client.create_execution(
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db_model.id, function_id, runtime_id,
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input=params.get('input'), is_sync=is_sync
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)
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if is_sync:
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# The execution should already be updated by engine service for sync
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# execution.
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db_model = db_api.get_execution(db_model.id)
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return db_model
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