..
  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.

=================
Managing Clusters
=================

Clusters are first-class citizens in Senlin service design. A cluster is
defined as a collection of homogeneous objects. The "homogeneous" here means
that the objects managed (aka. Nodes) have to be instantiated from the same
"profile type".


List Clusters
~~~~~~~~~~~~~

To examine the list of receivers:

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: list_cluster

When listing clusters, you can specify the sorting option using the ``sort``
parameter and you can do pagination using the ``limit`` and ``marker``
parameters.

Full example: `manage cluster`_


Create Cluster
~~~~~~~~~~~~~~

When creating a cluster, you will provide a dictionary with keys and values
according to the cluster type referenced.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: create_cluster

Optionally, you can specify a ``metadata`` keyword argument that contains some
key-value pairs to be associated with the cluster.

Full example: `manage cluster`_


Get Cluster
~~~~~~~~~~~

To get a cluster based on its name or ID:

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: get_cluster

Full example: `manage cluster`_


Find Cluster
~~~~~~~~~~~~

To find a cluster based on its name or ID:

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: find_cluster

Full example: `manage cluster`_


Update Cluster
~~~~~~~~~~~~~~

After a cluster is created, most of its properties are immutable. Still, you
can update a cluster's ``name`` and/or ``params``.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: update_cluster

Full example: `manage cluster`_


Delete Cluster
~~~~~~~~~~~~~~

A cluster can be deleted after creation, When there are nodes in the cluster,
the Senlin engine will launch a process to delete all nodes from the cluster
and destroy them before deleting the cluster object itself.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: delete_cluster


Cluster Add Nodes
~~~~~~~~~~~~~~~~~

Add some existing nodes into the specified cluster.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_add_nodes


Cluster Del Nodes
~~~~~~~~~~~~~~~~~

Remove nodes from specified cluster.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_del_nodes


Cluster Replace Nodes
~~~~~~~~~~~~~~~~~~~~~

Replace some existing nodes in the specified cluster.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_replace_nodes


Cluster Scale Out
~~~~~~~~~~~~~~~~~

Inflate the size of a cluster.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_scale_out


Cluster Scale In
~~~~~~~~~~~~~~~~

Shrink the size of a cluster.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_scale_in


Cluster Resize
~~~~~~~~~~~~~~

Resize of cluster.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_resize


Cluster Policy Attach
~~~~~~~~~~~~~~~~~~~~~

Once a policy is attached (bound) to a cluster, it will be
enforced when related actions are performed on that cluster,
unless the policy is (temporarily) disabled on the cluster

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_attach_policy


Cluster Policy Detach
~~~~~~~~~~~~~~~~~~~~~

Once a policy is attached to a cluster, it can be detached
from the cluster at user's request.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: cluster_detach_policy


Cluster Check
~~~~~~~~~~~~~

Check cluster health status, Cluster members can be check.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: check_cluster


Cluster Recover
~~~~~~~~~~~~~~~

To restore a specified cluster, members in the cluster will be checked.

.. literalinclude:: ../../examples/clustering/cluster.py
   :pyobject: recover_cluster


.. _manage cluster: http://git.openstack.org/cgit/openstack/openstacksdk/tree/examples/clustering/cluster.py