deb-mistral/mistral/services/scheduler.py
Limor Stotland 3326affb89 Scheduler in HA
1) Create new column "processing" in the delayed_calls_v2 table
2) Scheduler takes only objects that marked as processing=false
3) After processing a call scheduler deletes it.

Implements: blueprint scheduler-ha
Change-Id: I465a9c2d7443c352a1cad35f48f5228b64844ded
2015-08-13 11:43:00 +00:00

205 lines
6.9 KiB
Python

# Copyright 2014 - Mirantis, Inc.
# Copyright 2015 - StackStorm, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import copy
import datetime
from oslo_config import cfg
from oslo_log import log as logging
from oslo_service import periodic_task
from oslo_service import threadgroup
from oslo_utils import importutils
from mistral import context
from mistral.db.v2 import api as db_api
from mistral import exceptions as exc
LOG = logging.getLogger(__name__)
CONF = cfg.CONF
# {scheduler_instance: thread_group}
_schedulers = {}
def schedule_call(factory_method_path, target_method_name,
run_after, serializers=None, **method_args):
"""Add this call specification to DB, and then after run_after
seconds service CallScheduler invokes the target_method.
:param factory_method_path: Full python-specific path to
factory method for target object construction.
:param target_method_name: Name of target object method which
will be invoked.
:param run_after: Value in seconds.
param serializers: map of argument names and their serializer class paths.
Use when an argument is an object of specific type, and needs to be
serialized. Example:
{ "result": "mistral.utils.serializer.ResultSerializer"}
Serializer for the object type must implement serializer interface
in mistral/utils/serializer.py
:param method_args: Target method keyword arguments.
"""
ctx = context.ctx().to_dict() if context.has_ctx() else {}
execution_time = (datetime.datetime.now() +
datetime.timedelta(seconds=run_after))
if serializers:
for arg_name, serializer_path in serializers.items():
if arg_name not in method_args:
raise exc.MistralException(
"Serializable method argument %s"
" not found in method_args=%s"
% (arg_name, method_args))
try:
serializer = importutils.import_class(serializer_path)()
except ImportError as e:
raise ImportError("Cannot import class %s: %s"
% (serializer_path, e))
method_args[arg_name] = serializer.serialize(
method_args[arg_name]
)
values = {
'factory_method_path': factory_method_path,
'target_method_name': target_method_name,
'execution_time': execution_time,
'auth_context': ctx,
'serializers': serializers,
'method_arguments': method_args,
'processing': False
}
db_api.create_delayed_call(values)
class CallScheduler(periodic_task.PeriodicTasks):
# TODO(rakhmerov): Think how to make 'spacing' configurable.
@periodic_task.periodic_task(spacing=1, run_immediately=True)
def run_delayed_calls(self, ctx=None):
time_filter = datetime.datetime.now() + datetime.timedelta(
seconds=1)
# Wrap delayed calls processing in transaction to
# guarantee that calls will be processed just once.
# Do delete query to DB first to force hanging up all
# parallel transactions.
# It should work on isolation level 'READ-COMMITTED',
# 'REPEATABLE-READ' and above.
#
# 'REPEATABLE-READ' is by default in MySQL and
# 'READ-COMMITTED is by default in PostgreSQL.
delayed_calls = []
with db_api.transaction():
candidate_calls = db_api.get_delayed_calls_to_start(
time_filter
)
calls_to_make = []
for call in candidate_calls:
# Mark this delayed call has been processed in order to
# prevent calling from parallel transaction.
result, number_of_updated = db_api.update_delayed_call(
id=call.id,
values={'processing': True},
query_filter={"processing": False}
)
# If number_of_updated != 1 other scheduler already
# updated.
if number_of_updated == 1:
calls_to_make.append(result)
for call in calls_to_make:
LOG.debug('Processing next delayed call: %s', call)
context.set_ctx(context.MistralContext(call.auth_context))
if call.factory_method_path:
factory = importutils.import_class(
call.factory_method_path
)
target_method = getattr(factory(), call.target_method_name)
else:
target_method = importutils.import_class(
call.target_method_name
)
method_args = copy.copy(call.method_arguments)
if call.serializers:
# Deserialize arguments.
for arg_name, ser_path in call.serializers.items():
serializer = importutils.import_class(ser_path)()
deserialized = serializer.deserialize(
method_args[arg_name]
)
method_args[arg_name] = deserialized
delayed_calls.append((target_method, method_args))
for (target_method, method_args) in delayed_calls:
# Transaction is needed here because some of the
# target_method can use the DB
with db_api.transaction():
try:
# Call the method.
target_method(**method_args)
except Exception as e:
LOG.error(
"Delayed call failed [exception=%s]", e
)
with db_api.transaction():
for call in calls_to_make:
try:
# Delete calls that were processed.
db_api.delete_delayed_call(call.id)
except Exception as e:
LOG.error(
"failed to delete call [call=%s, "
"exception=%s]", call, e
)
def setup():
tg = threadgroup.ThreadGroup()
scheduler = CallScheduler(CONF)
tg.add_dynamic_timer(
scheduler.run_periodic_tasks,
initial_delay=None,
periodic_interval_max=1,
context=None
)
_schedulers[scheduler] = tg
return tg
def stop_all_schedulers():
for scheduler, tg in _schedulers.items():
tg.stop()
del _schedulers[scheduler]