Project Settings Page

Contents:

On January 27, 2021, Google is changing the required permissions for attaching IAM roles to service accounts. If you are using IAM roles for your Google service accounts, please see Changes to User Management.

Review and modify the settings related to your Google Cloud Platform project.

Setting

Description

Project ID

(read only) Your current project.

Use the Project menu to select a different project. For more information, see Projects Menu.

Disable Dataprep

To disable Cloud Dataprep by TRIFACTA INC. for this project, click the link.

NOTE: To remove a user and his or her assets from a project, please contact Trifacta Support.

Dataflow Execution Settings:

NOTE: Changes made to your execution settings set at the project level do not affect any overrides that have been previously applied at the individual job level. Job-level overrides remain as configured.

Tip: For more information on how the following settings affect your jobs, see Run Job on Cloud Dataflow.

Setting Description

Region A region is a specific geographical location where you can run your resources.

Zone

A sub-section of region, a zone contains specific resources.

Select Auto Zone to allow the platform to choose the zone for you.

Machine Type Choose the type of machine on which to run your job. The default is n1-standard-1.

Making changes to Region, Zone, or Machine Type can affect the time and cost of job executions. For more information, see https://cloud.google.com/dataflow/docs/concepts/regional-endpoints.

For more information on machine types, https://cloud.google.com/compute/docs/machine-types.

Advanced Settings:

NOTE: Changes made to your advanced settings set at the project level do not affect any overrides that have been previously applied at the individual job level. Job-level overrides remain as configured.

Setting	Description
VPC network mode	Select the network mode to use. If the network mode is set to `Auto` (default), the job is executed over publicly available IP addresses. Do not set values for Network, Subnetwork, and Worker IP address configuration. NOTE: Unless you have specific reasons to modify these settings, you should leave them as the default values. These network settings apply to job execution. Preview and sampling use the `default` network settings. For `Custom` VPC networks: Specify the name of the VPC network in your region. Specify the short or full URL of the Subnetwork. If both Network and Subnetwork are specified, Subnetwork is used. See https://cloud.google.com/dataflow/docs/guides/specifying-networks. Review and specify the Worker IP address configuration setting. See below. For more information: https://cloud.google.com/dataflow/docs/guides/routes-firewall https://cloud.google.com/dataflow/docs/guides/specifying-networks
Network	To use a different VPC network, enter the name of the VPC network to use as an override for this job. Click Save to apply the override.
Subnetwork	To specify a different subnetwork, enter the URL of the subnetwork. The URL should be in the following format: regions/<REGION>/subnetworks/<SUBNETWORK> where: `<REGION>` is the region identifier specified under Region. These values must match. `<SUBNETWORK>` is the subnetwork identifier. Feature Availability: This feature is available in Cloud Dataprep Premium by TRIFACTA® INC. If you have access to another project within your organization, you can execute your Cloud Dataflow job through it by specifying a full URL in the following form: https://www.googleapis.com/compute/v1/projects/<HOST_PROJECT_ID>/regions/<REGION>/subnetworks/<SUBNETWORK> where: `<HOST_PROJECT_ID>` corresponds to the project identifier. This value must be between 6 and 30 characters. The value can contain only lowercase letters, digits, or hyphens. It must start with a letter. Trailing hyphens are prohibited. Click Save to apply the override.

Feature Availability: This feature is available in Cloud Dataprep Premium by TRIFACTA® INC.

Setting	Description
Worker IP address configuration	If the VPC Network mode is set to `custom`, then choose one of the following: `Allow public IP addresses` - Use Cloud Dataflow workers that are available through public IP addresses. No further configuration is required. `Use internal IP addresses only` - Cloud Dataflow workers use private IP addresses for all communication. If a Subnetwork is specified, then the Network value is ignored. The specified Network or Subnetwork must have Private Google Access enabled.
Autoscaling Algorithms	The type of algorithm to use to scale the number of Google Compute Engine instances to accommodate the size of your job. Possible values: `Throughput based` - Scaling is determined by the volume of data expected to be passed through Cloud Dataflow. `None` - None algorithm is applied. If none is selected, use `Initial Number of Workers` to specify a fixed number of Google Compute Engine instances.
Initial number of workers	Number of Google Compute Engine instances with which to launch the job. This number may be adjusted as part of job execution. This number must be an integer between 1 and `1000`, inclusive.
Maximum number of workers	Maximum number of Google Compute Engine instances to use during execution. This number must be an integer between 1 and `1000`, inclusive, and must be greater than the initial number of workers.
Service account	Email address of the service account under which to run the job.
Labels	Create or assign labels to apply to the billing for the Cloud Dataprep by TRIFACTA INC. jobs run in your project. You may reference up to 64 labels. NOTE: Each label must have a unique key name. For more information, see https://cloud.google.com/resource-manager/docs/creating-managing-labels.

Notes on behavior:

Values specified here are applied to all jobs executed within the project.
If property values are not specified here, then the properties are not passed in with any job execution, and the default Cloud Dataprep by TRIFACTA INC. property values are used.
The property values specified here can be overridden by property values specified for individual jobs. For more information, see Dataflow Execution Settings.

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