feat: Add support for autoscaling (#509)

* feat: Add support for autoscaling

- Add the parameters min_serve_nodes, max_serve_nodes, and cpu_utilization_percent
- Create disable_autoscaling function
- Update documentation and tests
- Add validation when scaling config was not set correctly.

Author: Mariatta

packages/google-cloud-bigtable/docs/snippets.py

@@ -401,6 +401,25 @@ def test_bigtable_update_cluster():
     assert cluster.serve_nodes == 4
 
 
+def test_bigtable_cluster_disable_autoscaling():
+    # [START bigtable_api_cluster_disable_autoscaling]
+    from google.cloud.bigtable import Client
+
+    client = Client(admin=True)
+    instance = client.instance(INSTANCE_ID)
+    # Create a cluster with autoscaling enabled
+    cluster = instance.cluster(
+        CLUSTER_ID, min_serve_nodes=1, max_serve_nodes=2, cpu_utilization_percent=10
+    )
+    instance.create(clusters=[cluster])
+
+    # Disable autoscaling
+    cluster.disable_autoscaling(serve_nodes=4)
+    # [END bigtable_api_cluster_disable_autoscaling]
+
+    assert cluster.serve_nodes == 4
+
+
 def test_bigtable_create_table():
     # [START bigtable_api_create_table]
     from google.api_core import exceptions

packages/google-cloud-bigtable/google/cloud/bigtable/cluster.py

@@ -18,6 +18,7 @@
 import re
 from google.cloud.bigtable_admin_v2.types import instance
 from google.api_core.exceptions import NotFound
+from google.protobuf import field_mask_pb2
 
 
 _CLUSTER_NAME_RE = re.compile(
@@ -36,6 +37,7 @@ class Cluster(object):
     * :meth:`create` itself
     * :meth:`update` itself
     * :meth:`delete` itself
+    * :meth:`disable_autoscaling` itself
 
     :type cluster_id: str
     :param cluster_id: The ID of the cluster.
@@ -52,7 +54,9 @@ class Cluster(object):
                         https://cloud.google.com/bigtable/docs/locations
 
     :type serve_nodes: int
-    :param serve_nodes: (Optional) The number of nodes in the cluster.
+    :param serve_nodes: (Optional) The number of nodes in the cluster for manual scaling. If any of the
+                        autoscaling configuration are specified, then the autoscaling
+                        configuration will take precedent.
 
     :type default_storage_type: int
     :param default_storage_type: (Optional) The type of storage
@@ -85,6 +89,27 @@ class Cluster(object):
                    :data:`google.cloud.bigtable.enums.Cluster.State.CREATING`.
                    :data:`google.cloud.bigtable.enums.Cluster.State.RESIZING`.
                    :data:`google.cloud.bigtable.enums.Cluster.State.DISABLED`.
+
+    :type min_serve_nodes: int
+    :param min_serve_nodes: (Optional) The minimum number of nodes to be set in the cluster for autoscaling.
+                            Must be 1 or greater.
+                            If specified, this configuration takes precedence over
+                            ``serve_nodes``.
+                            If specified, then
+                            ``max_serve_nodes`` and ``cpu_utilization_percent`` must be
+                            specified too.
+
+    :type max_serve_nodes: int
+    :param max_serve_nodes: (Optional) The maximum number of nodes to be set in the cluster for autoscaling.
+                            If specified, this configuration
+                            takes precedence over ``serve_nodes``. If specified, then
+                            ``min_serve_nodes`` and ``cpu_utilization_percent`` must be
+                            specified too.
+
+    :param cpu_utilization_percent: (Optional) The CPU utilization target for the cluster's workload for autoscaling.
+                                    If specified, this configuration takes precedence over ``serve_nodes``. If specified, then
+                                    ``min_serve_nodes`` and ``max_serve_nodes`` must be
+                                    specified too.
     """
 
     def __init__(
@@ -96,6 +121,9 @@ def __init__(
         default_storage_type=None,
         kms_key_name=None,
         _state=None,
+        min_serve_nodes=None,
+        max_serve_nodes=None,
+        cpu_utilization_percent=None,
     ):
         self.cluster_id = cluster_id
         self._instance = instance
@@ -104,10 +132,13 @@ def __init__(
         self.default_storage_type = default_storage_type
         self._kms_key_name = kms_key_name
         self._state = _state
+        self.min_serve_nodes = min_serve_nodes
+        self.max_serve_nodes = max_serve_nodes
+        self.cpu_utilization_percent = cpu_utilization_percent
 
     @classmethod
     def from_pb(cls, cluster_pb, instance):
-        """Creates an cluster instance from a protobuf.
+        """Creates a cluster instance from a protobuf.
 
         For example:
 
@@ -159,6 +190,17 @@ def _update_from_pb(self, cluster_pb):
 
         self.location_id = cluster_pb.location.split("/")[-1]
         self.serve_nodes = cluster_pb.serve_nodes
+
+        self.min_serve_nodes = (
+            cluster_pb.cluster_config.cluster_autoscaling_config.autoscaling_limits.min_serve_nodes
+        )
+        self.max_serve_nodes = (
+            cluster_pb.cluster_config.cluster_autoscaling_config.autoscaling_limits.max_serve_nodes
+        )
+        self.cpu_utilization_percent = (
+            cluster_pb.cluster_config.cluster_autoscaling_config.autoscaling_targets.cpu_utilization_percent
+        )
+
         self.default_storage_type = cluster_pb.default_storage_type
         if cluster_pb.encryption_config:
             self._kms_key_name = cluster_pb.encryption_config.kms_key_name
@@ -211,6 +253,42 @@ def kms_key_name(self):
         """str: Customer managed encryption key for the cluster."""
         return self._kms_key_name
 
+    def _validate_scaling_config(self):
+        """Validate auto/manual scaling configuration before creating or updating."""
+
+        if (
+            not self.serve_nodes
+            and not self.min_serve_nodes
+            and not self.max_serve_nodes
+            and not self.cpu_utilization_percent
+        ):
+            raise ValueError(
+                "Must specify either serve_nodes or all of the autoscaling configurations (min_serve_nodes, max_serve_nodes, and cpu_utilization_percent)."
+            )
+        if self.serve_nodes and (
+            self.max_serve_nodes or self.min_serve_nodes or self.cpu_utilization_percent
+        ):
+            raise ValueError(
+                "Cannot specify both serve_nodes and autoscaling configurations (min_serve_nodes, max_serve_nodes, and cpu_utilization_percent)."
+            )
+        if (
+            (
+                self.min_serve_nodes
+                and (not self.max_serve_nodes or not self.cpu_utilization_percent)
+            )
+            or (
+                self.max_serve_nodes
+                and (not self.min_serve_nodes or not self.cpu_utilization_percent)
+            )
+            or (
+                self.cpu_utilization_percent
+                and (not self.min_serve_nodes or not self.max_serve_nodes)
+            )
+        ):
+            raise ValueError(
+                "All of autoscaling configurations must be specified at the same time (min_serve_nodes, max_serve_nodes, and cpu_utilization_percent)."
+            )
+
     def __eq__(self, other):
         if not isinstance(other, self.__class__):
             return NotImplemented
@@ -290,7 +368,15 @@ def create(self):
         :rtype: :class:`~google.api_core.operation.Operation`
         :returns: The long-running operation corresponding to the
                   create operation.
+
+        :raises: :class:`ValueError <exceptions.ValueError>` if the both ``serve_nodes`` and autoscaling configurations
+                  are set at the same time or if none of the ``serve_nodes`` or autoscaling configurations are set
+                  or if the autoscaling configurations are only partially set.
+
         """
+
+        self._validate_scaling_config()
+
         client = self._instance._client
         cluster_pb = self._to_pb()
 
@@ -323,20 +409,73 @@ def update(self):
 
             before calling :meth:`update`.
 
+            If autoscaling is already enabled, manual scaling will be silently ignored.
+            To disable autoscaling and enable manual scaling, use the :meth:`disable_autoscaling` instead.
+
         :rtype: :class:`Operation`
         :returns: The long-running operation corresponding to the
                   update operation.
+
         """
+
         client = self._instance._client
-        # We are passing `None` for third argument location.
-        # Location is set only at the time of creation of a cluster
-        # and can not be changed after cluster has been created.
-        return client.instance_admin_client.update_cluster(
-            request={
-                "serve_nodes": self.serve_nodes,
-                "name": self.name,
-                "location": None,
-            }
+
+        update_mask_pb = field_mask_pb2.FieldMask()
+
+        if self.serve_nodes:
+            update_mask_pb.paths.append("serve_nodes")
+
+        if self.min_serve_nodes:
+            update_mask_pb.paths.append(
+                "cluster_config.cluster_autoscaling_config.autoscaling_limits.min_serve_nodes"
+            )
+        if self.max_serve_nodes:
+            update_mask_pb.paths.append(
+                "cluster_config.cluster_autoscaling_config.autoscaling_limits.max_serve_nodes"
+            )
+        if self.cpu_utilization_percent:
+            update_mask_pb.paths.append(
+                "cluster_config.cluster_autoscaling_config.autoscaling_targets.cpu_utilization_percent"
+            )
+
+        cluster_pb = self._to_pb()
+        cluster_pb.name = self.name
+
+        return client.instance_admin_client.partial_update_cluster(
+            request={"cluster": cluster_pb, "update_mask": update_mask_pb}
+        )
+
+    def disable_autoscaling(self, serve_nodes):
+        """
+        Disable autoscaling by specifying the number of nodes.
+
+        For example:
+
+        .. literalinclude:: snippets.py
+            :start-after: [START bigtable_api_cluster_disable_autoscaling]
+            :end-before: [END bigtable_api_cluster_disable_autoscaling]
+            :dedent: 4
+
+        :type serve_nodes: int
+        :param serve_nodes: The number of nodes in the cluster.
+        """
+
+        client = self._instance._client
+
+        update_mask_pb = field_mask_pb2.FieldMask()
+
+        self.serve_nodes = serve_nodes
+        self.min_serve_nodes = 0
+        self.max_serve_nodes = 0
+        self.cpu_utilization_percent = 0
+
+        update_mask_pb.paths.append("serve_nodes")
+        update_mask_pb.paths.append("cluster_config.cluster_autoscaling_config")
+        cluster_pb = self._to_pb()
+        cluster_pb.name = self.name
+
+        return client.instance_admin_client.partial_update_cluster(
+            request={"cluster": cluster_pb, "update_mask": update_mask_pb}
         )
 
     def delete(self):
@@ -375,6 +514,7 @@ def _to_pb(self):
         location = client.instance_admin_client.common_location_path(
             client.project, self.location_id
         )
+
         cluster_pb = instance.Cluster(
             location=location,
             serve_nodes=self.serve_nodes,
@@ -384,4 +524,18 @@ def _to_pb(self):
             cluster_pb.encryption_config = instance.Cluster.EncryptionConfig(
                 kms_key_name=self._kms_key_name,
             )
+
+        if self.min_serve_nodes:
+            cluster_pb.cluster_config.cluster_autoscaling_config.autoscaling_limits.min_serve_nodes = (
+                self.min_serve_nodes
+            )
+        if self.max_serve_nodes:
+            cluster_pb.cluster_config.cluster_autoscaling_config.autoscaling_limits.max_serve_nodes = (
+                self.max_serve_nodes
+            )
+        if self.cpu_utilization_percent:
+            cluster_pb.cluster_config.cluster_autoscaling_config.autoscaling_targets.cpu_utilization_percent = (
+                self.cpu_utilization_percent
+            )
+
         return cluster_pb

packages/google-cloud-bigtable/google/cloud/bigtable/instance.py

@@ -228,6 +228,9 @@ def create(
         serve_nodes=None,
         default_storage_type=None,
         clusters=None,
+        min_serve_nodes=None,
+        max_serve_nodes=None,
+        cpu_utilization_percent=None,
     ):
         """Create this instance.
 
@@ -303,12 +306,18 @@ def create(
                     location_id=location_id,
                     serve_nodes=serve_nodes,
                     default_storage_type=default_storage_type,
+                    min_serve_nodes=None,
+                    max_serve_nodes=None,
+                    cpu_utilization_percent=None,
                 )
             ]
         elif (
             location_id is not None
             or serve_nodes is not None
             or default_storage_type is not None
+            or min_serve_nodes is not None
+            or max_serve_nodes is not None
+            or cpu_utilization_percent is not None
         ):
             raise ValueError(
                 "clusters and one of location_id, serve_nodes, \
@@ -546,6 +555,9 @@ def cluster(
         serve_nodes=None,
         default_storage_type=None,
         kms_key_name=None,
+        min_serve_nodes=None,
+        max_serve_nodes=None,
+        cpu_utilization_percent=None,
     ):
         """Factory to create a cluster associated with this instance.
 
@@ -605,6 +617,9 @@ def cluster(
             serve_nodes=serve_nodes,
             default_storage_type=default_storage_type,
             kms_key_name=kms_key_name,
+            min_serve_nodes=min_serve_nodes,
+            max_serve_nodes=max_serve_nodes,
+            cpu_utilization_percent=cpu_utilization_percent,
         )
 
     def list_clusters(self):

packages/google-cloud-bigtable/tests/system/conftest.py

@@ -107,6 +107,24 @@ def admin_cluster(admin_instance, admin_cluster_id, location_id, serve_nodes):
     )
 
 
+@pytest.fixture(scope="session")
+def admin_cluster_with_autoscaling(
+    admin_instance,
+    admin_cluster_id,
+    location_id,
+    min_serve_nodes,
+    max_serve_nodes,
+    cpu_utilization_percent,
+):
+    return admin_instance.cluster(
+        admin_cluster_id,
+        location_id=location_id,
+        min_serve_nodes=min_serve_nodes,
+        max_serve_nodes=max_serve_nodes,
+        cpu_utilization_percent=cpu_utilization_percent,
+    )
+
+
 @pytest.fixture(scope="session")
 def admin_instance_populated(admin_instance, admin_cluster, in_emulator):
     # Emulator does not support instance admin operations (create / delete).
@@ -170,3 +188,18 @@ def instances_to_delete():
 
     for instance in instances_to_delete:
         _helpers.retry_429(instance.delete)()
+
+
+@pytest.fixture(scope="session")
+def min_serve_nodes(in_emulator):
+    return 1
+
+
+@pytest.fixture(scope="session")
+def max_serve_nodes(in_emulator):
+    return 8
+
+
+@pytest.fixture(scope="session")
+def cpu_utilization_percent(in_emulator):
+    return 10