GCP Environments


When using a Google Cloud Platform (GCP) environment, Control Hub connects to your Google Cloud project, provisions the Google Cloud resources needed to run engines, and deploys engine instances to those resources.

Your GCP administrator must designate a project for the resources, create a Google virtual private cloud (VPC) network, and configure Google Cloud credentials for Control Hub to use. You then create a GCP environment in Control Hub to connect to the existing project and VPC network using these credentials.

While the environment is in an active state, Control Hub periodically verifies that the project and VPC network exist and that the credentials are valid. Control Hub does not provision resources in the VPC network until you create and start a deployment for this environment.

For more details, refer to the StreamSets DataOps Platform Documentation.

Creating Environment with Service Account Impersonation


The SDK is designed to mirror the UI workflow. This section shows you how to create a GCP environment with Service Account Impersonation in the UI and how to achieve the same using StreamSets DataOps Platform SDK for Python code step by step.

Define Environment

In the UI, an environment is defined as seen below:

../../../_images/creation_define_environment2.png

The same effect can be achieved by using the SDK as seen below:

environment_builder = sch.get_environment_builder(environment_type='GCP')
environment = environment_builder.build(environment_name='Sample Environment',
                                        environment_tags=['gcp-env-tag'],
                                        allow_nightly_builds=False)

Configure GCP Credentials

In the UI, the GCP credentials for an environment are configured as seen below:

../../../_images/creation_configure_credentials_service_account_impersonation.png

The same effect can be achieved by using the SDK as seen below:

environment.credential_type == 'Service Account Impersonation'
environment.service_account_email = <service account email>
environment.default_instance_service_account_email = <service account email>   # Optional to set

Configure GCP Project

In the UI, the GCP Project for an environment is configured as seen below:

../../../_images/creation_configure_gcp_project.png

The same effect can be achieved by using the SDK as seen below:

environment.project = 'streamsets-engineering'

Configure GCP VPC

In the UI, the GCP VPC for an environment is configured as seen below:

../../../_images/creation_select_gcp_vpc.png

The same effect can be achieved by using the SDK as seen below:

environment.vpc_id = 'default'
environment.gcp_labels = {'name1': 'value1', 'name2': 'value2'}

Review & Activate

In the UI, an environment can be reviewed and launched as seen below:

../../../_images/creation_review_and_activate.png

sch.add_environment(environment)
# Optional - equivalent to clicking on 'Activate & Exit'
sch.activate_environment(environment)

Complete example with Service Account Impersonation


To create a new streamsets.sdk.sch_models.GCPEnvironment object and add it to Control Hub, use the streamsets.sdk.sch_models.EnvironmentBuilder class. Use the streamsets.sdk.ControlHub.get_environment_builder() method to instantiate the builder object:

environment_builder = sch.get_environment_builder(environment_type='GCP')

Next, build the environment by using streamsets.sdk.sch_models.EnvironmentBuilder.build() method, and pass the resulting environment object to the streamsets.sdk.ControlHub.add_environment() method:

environment_builder = sch.get_environment_builder(environment_type='GCP')
environment = environment_builder.build(environment_name='Sample Environment',
                                        environment_tags=['gcp-env-tag'],
                                        allow_nightly_builds=False)
# Set other configurations for the environment
environment.credential_type == 'Service Account Impersonation'
environment.service_account_email = <service account email>
environment.default_instance_service_account_email = <service account email>   # Optional to set

environment.project = 'streamsets-engineering'
environment.vpc_id = 'default'
environment.gcp_labels = {'name1': 'value1', 'name2': 'value2'}
sch.add_environment(environment)
# Optional - equivalent to clicking on 'Activate & Exit'
sch.activate_environment(environment)

Creating Environment with Service Account Key


The SDK is designed to mirror the UI workflow. This section shows you how to create a GCP environment with Service Account Key in the UI and how to achieve the same using StreamSets DataOps Platform SDK for Python code step by step.

Define Environment

In the UI, an environment is defined as seen below:

../../../_images/creation_define_environment2.png

The same effect can be achieved by using the SDK as seen below:

environment_builder = sch.get_environment_builder(environment_type='GCP')
environment = environment_builder.build(environment_name='Sample Environment',
                                        environment_tags=['gcp-env-tag'],
                                        allow_nightly_builds=False)

Configure GCP Credentials

In the UI, the GCP credentials for an environment are configured as seen below:

../../../_images/creation_configure_credentials_service_account_key.png

The same effect can be achieved by using the SDK as seen below:

environment.credential_type == 'Service Account Key'
environment.account_key_json = <Contents of the Service Account Key as a string>
environment.default_instance_service_account_email = <service account email>   # Optional to set

Configure GCP Project

In the UI, the GCP Project for an environment is configured as seen below:

../../../_images/creation_configure_gcp_project.png

The same effect can be achieved by using the SDK as seen below:

environment.project = 'streamsets-engineering'

Configure GCP VPC

In the UI, the GCP VPC for an environment is configured as seen below:

../../../_images/creation_select_gcp_vpc.png

The same effect can be achieved by using the SDK as seen below:

environment.vpc_id = 'default'
environment.gcp_labels = {'name1': 'value1', 'name2': 'value2'}

Review & Activate

In the UI, an environment can be reviewed and launched as seen below:

../../../_images/creation_review_and_activate.png

sch.add_environment(environment)
# Optional - equivalent to clicking on 'Activate & Exit'
sch.activate_environment(environment)

Complete example with Service Account Key


To create a new streamsets.sdk.sch_models.GCPEnvironment object and add it to Control Hub, use the streamsets.sdk.sch_models.EnvironmentBuilder class. Use the streamsets.sdk.ControlHub.get_environment_builder() method to instantiate the builder object:

environment_builder = sch.get_environment_builder(environment_type='GCP')

Next, build the environment by using streamsets.sdk.sch_models.EnvironmentBuilder.build() method, and pass the resulting environment object to the streamsets.sdk.ControlHub.add_environment() method:

environment_builder = sch.get_environment_builder(environment_type='GCP')
environment = environment_builder.build(environment_name='Sample Environment',
                                        environment_tags=['gcp-env-tag'],
                                        allow_nightly_builds=False)
# Set other configurations for the environment
environment.credential_type == 'Service Account Key'
environment.account_key_json = <Contents of the Service Account Key>
environment.default_instance_service_account_email = <service account email>   # Optional to set

environment.project = 'streamsets-engineering'
environment.vpc_id = 'default'
environment.gcp_labels = {'name1': 'value1', 'name2': 'value2'}
sch.add_environment(environment)
# Optional - equivalent to clicking on 'Activate & Exit'
sch.activate_environment(environment)