247 lines
8.9 KiB
Python
247 lines
8.9 KiB
Python
# Copyright (c) 2013 Mirantis Inc.
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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 heatclient import exc as heat_exc
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from oslo_config import cfg
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from oslo_log import log as logging
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from sahara import conductor as c
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from sahara import context
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from sahara.i18n import _
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from sahara.i18n import _LW
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from sahara.service import engine as e
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from sahara.service.heat import templates as ht
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from sahara.service import volumes
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from sahara.utils import cluster as c_u
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from sahara.utils import cluster_progress_ops as cpo
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from sahara.utils.openstack import base as b
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from sahara.utils.openstack import heat
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conductor = c.API
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CONF = cfg.CONF
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LOG = logging.getLogger(__name__)
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CREATE_STAGES = [c_u.CLUSTER_STATUS_SPAWNING, c_u.CLUSTER_STATUS_WAITING,
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c_u.CLUSTER_STATUS_PREPARING]
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SCALE_STAGES = [c_u.CLUSTER_STATUS_SCALING_SPAWNING,
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c_u.CLUSTER_STATUS_SCALING_WAITING,
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c_u.CLUSTER_STATUS_SCALING_PREPARING]
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ROLLBACK_STAGES = [c_u.CLUSTER_STATUS_ROLLBACK_SPAWNING,
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c_u.CLUSTER_STATUS_ROLLBACK_WAITING,
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c_u.CLUSTER_STATUS_ROLLBACK__PREPARING]
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heat_engine_opts = [
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cfg.ListOpt('heat_stack_tags', default=['data-processing-cluster'],
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help="List of tags to be used during operating with stack.")
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]
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CONF.register_opts(heat_engine_opts)
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class HeatEngine(e.Engine):
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def get_type_and_version(self):
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return "heat.3.0"
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def create_cluster(self, cluster):
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self._update_rollback_strategy(cluster, shutdown=True)
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target_count = self._get_ng_counts(cluster)
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self._nullify_ng_counts(cluster)
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self._launch_instances(cluster, target_count, CREATE_STAGES)
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self._update_rollback_strategy(cluster)
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def _get_ng_counts(self, cluster):
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count = {}
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for node_group in cluster.node_groups:
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count[node_group.id] = node_group.count
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return count
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def _nullify_ng_counts(self, cluster):
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ctx = context.ctx()
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for node_group in cluster.node_groups:
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conductor.node_group_update(ctx, node_group, {"count": 0})
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def scale_cluster(self, cluster, target_count):
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ctx = context.ctx()
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rollback_count = self._get_ng_counts(cluster)
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self._update_rollback_strategy(cluster, rollback_count=rollback_count,
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target_count=target_count)
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inst_ids = self._launch_instances(
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cluster, target_count, SCALE_STAGES,
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update_stack=True, disable_rollback=False)
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cluster = conductor.cluster_get(ctx, cluster)
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c_u.clean_cluster_from_empty_ng(cluster)
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self._update_rollback_strategy(cluster)
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return inst_ids
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def rollback_cluster(self, cluster, reason):
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rollback_info = cluster.rollback_info or {}
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self._update_rollback_strategy(cluster)
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if rollback_info.get('shutdown', False):
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self._rollback_cluster_creation(cluster, reason)
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LOG.warning(_LW("Cluster creation rollback "
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"(reason: {reason})").format(reason=reason))
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return False
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rollback_count = rollback_info.get('rollback_count', {}).copy()
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target_count = rollback_info.get('target_count', {}).copy()
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if rollback_count or target_count:
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self._rollback_cluster_scaling(
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cluster, rollback_count, target_count, reason)
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LOG.warning(_LW("Cluster scaling rollback "
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"(reason: {reason})").format(reason=reason))
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return True
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return False
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def _update_rollback_strategy(self, cluster, shutdown=False,
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rollback_count=None, target_count=None):
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rollback_info = {}
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if shutdown:
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rollback_info['shutdown'] = shutdown
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if rollback_count:
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rollback_info['rollback_count'] = rollback_count
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if target_count:
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rollback_info['target_count'] = target_count
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cluster = conductor.cluster_update(
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context.ctx(), cluster, {'rollback_info': rollback_info})
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return cluster
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def _populate_cluster(self, cluster, stack):
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ctx = context.ctx()
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old_ids = [i.instance_id for i in c_u.get_instances(cluster)]
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new_ids = []
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for node_group in cluster.node_groups:
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instances = stack.get_node_group_instances(node_group)
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for instance in instances:
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nova_id = instance['physical_id']
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name = instance['name']
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if nova_id not in old_ids:
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instance_id = conductor.instance_add(
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ctx, node_group, {"instance_id": nova_id,
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"instance_name": name})
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new_ids.append(instance_id)
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return new_ids
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def _rollback_cluster_creation(self, cluster, ex):
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"""Shutdown all instances and update cluster status."""
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self.shutdown_cluster(cluster)
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def _rollback_cluster_scaling(self, cluster, rollback_count,
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target_count, ex):
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"""Attempt to rollback cluster scaling.
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Our rollback policy for scaling is as follows:
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We shut down nodes created during scaling, but we don't try to
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to get back decommissioned nodes. I.e. during the rollback
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we only shut down nodes and not launch them. That approach should
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maximize the chance of rollback success.
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"""
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for ng in rollback_count:
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if rollback_count[ng] > target_count[ng]:
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rollback_count[ng] = target_count[ng]
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self._launch_instances(cluster, rollback_count, ROLLBACK_STAGES,
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update_stack=True)
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def shutdown_cluster(self, cluster):
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"""Shutdown specified cluster and all related resources."""
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try:
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b.execute_with_retries(heat.client().stacks.delete, cluster.name)
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stack = heat.get_stack(cluster.name)
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heat.wait_stack_completion(stack)
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except heat_exc.HTTPNotFound:
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LOG.warning(_LW('Did not find stack for cluster. Trying to delete '
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'cluster manually.'))
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# Stack not found. Trying to delete cluster like direct engine
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# do it
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self._shutdown_instances(cluster)
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self._delete_aa_server_group(cluster)
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self._clean_job_executions(cluster)
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self._remove_db_objects(cluster)
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@cpo.event_wrapper(
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True, step=_('Create Heat stack'), param=('cluster', 1))
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def _create_instances(self, cluster, target_count, update_stack=False,
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disable_rollback=True):
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stack = ht.ClusterStack(cluster)
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self._update_instance_count(stack, cluster, target_count)
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stack.instantiate(update_existing=update_stack,
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disable_rollback=disable_rollback)
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heat.wait_stack_completion(
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stack.heat_stack,
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is_update=update_stack, last_updated_time=stack.last_updated_time)
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return self._populate_cluster(cluster, stack)
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def _launch_instances(self, cluster, target_count, stages,
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update_stack=False, disable_rollback=True):
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# create all instances
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cluster = c_u.change_cluster_status(cluster, stages[0])
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inst_ids = self._create_instances(
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cluster, target_count, update_stack, disable_rollback)
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# wait for all instances are up and networks ready
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cluster = c_u.change_cluster_status(cluster, stages[1])
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instances = c_u.get_instances(cluster, inst_ids)
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self._await_networks(cluster, instances)
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# prepare all instances
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cluster = c_u.change_cluster_status(cluster, stages[2])
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instances = c_u.get_instances(cluster, inst_ids)
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volumes.mount_to_instances(instances)
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self._configure_instances(cluster)
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return inst_ids
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def _update_instance_count(self, stack, cluster, target_count):
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ctx = context.ctx()
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for node_group in cluster.node_groups:
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count = target_count[node_group.id]
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stack.add_node_group_extra(node_group.id, count,
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self._generate_user_data_script)
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# if number of instances decreases, we need to drop
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# the excessive ones
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for i in range(count, node_group.count):
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conductor.instance_remove(ctx, node_group.instances[i])
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