- 3.51.0 (latest)
- 3.50.1
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.1
- 3.39.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.1
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.27.1
- 3.26.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.2
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.1
- 3.14.1
- 3.13.0
- 3.12.1
- 3.11.1
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.0
- 3.3.0
- 3.2.0
- 3.1.0
- 3.0.0
- 2.1.1
- 2.0.0
- 1.19.3
- 1.18.0
- 1.17.1
- 1.16.0
- 1.15.1
- 1.14.0
- 1.13.0
- 1.12.0
- 1.11.0
- 1.10.0
Instance Admin Usage
After creating a Client
, you can
interact with individual instances for a project.
Instance Configurations
Each instance within a project maps to a named “instance configuration”, specifying the location and other parameters for a set of instances. These configurations are defined by the server, and cannot be changed.
To iterate over all instance configurations available to your project, use the
list_instance_configs()
method of the client:
for config in client.list_instance_configs():
# `config` is an instance of `InstanceConfig`
To fetch a single instance configuration, use the
get_instance_configuration()
method of the client:
config = client.get_instance_configuration('config-name')
Each of these methods provide
InstanceConfig
objects.
List Instances
If you want a comprehensive list of all existing instances, iterate over the
list_instances()
method of
the client:
for instance in client.list_instances():
# `instance` is an instance of `Instance`
This iterator yields Instance
objects.
Instance Factory
To create a Instance
object:
config = configs[0]
instance = client.instance(instance_id,
configuration_name=config.name,
node_count=10,
display_name='My Instance')
configuration_name
is the name of the instance configuration to which the instance will be bound. It must be one of the names configured for your project, discoverable vialist_instance_configs()
.node_count
is a postitive integral count of the number of nodes used by the instance. More nodes allows for higher performance, but at a higher billing cost.display_name
is optional. When not provided,display_name
defaults to theinstance_id
value.
You can also use Client.instance()
to create a local wrapper for
an instance that has already been created:
instance = client.instance(existing_instance_id)
instance.reload()
Create a new Instance
After creating the instance object, use its
create()
method to
trigger its creation on the server:
instance.display_name = 'My very own instance'
operation = instance.create()
NOTE: Creating an instance triggers a “long-running operation” and
returns an google.cloud.spanner_v1.instance.Operation
object. See Resolve Current Instance Operation for polling
to find out if the operation is completed.
Refresh metadata for an existing Instance
After creating the instance object, reload its server-side configuration
using its reload()
method:
instance.reload()
This will load display_name
, config_name
, and node_count
for the existing instance
object from the back-end.
Update an existing Instance
After creating the instance object, you can update its metadata via
its update()
method:
client.display_name = 'New display_name'
operation = instance.update()
NOTE: Update an instance triggers a “long-running operation” and
returns a google.cloud.spanner_v1.instance.Operation
object. See Resolve Current Instance Operation for polling
to find out if the operation is completed.
Delete an existing Instance
Delete an instance using its
delete()
method:
instance.delete()
Resolve Current Instance Operation
The create()
and
update()
methods of instance
object trigger long-running operations on the server, and return instances
of the Operation
class.
If you want to block on the completion of those operations, use the
result
method on the returned objects:
>>> operation = instance.create()
>>> result = operation.result()
This method will raise an exception if the operation fails.
Next Step
Now we go down the hierarchy from
Instance
to a
Database
.
Next, learn about the Database Admin Usage.