A regional endpoint handles execution details for your job, its location determines where the job is executed.
A sub-section of region, a zone contains specific resources for a given region.
Auto Zone to allow the platform to choose the zone for you.
Choose the type of machine on which to run your job. The default is
Note: not all machine types supported directly through
|VPC Network mode|
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.
As needed, you can override the default settings configured for your project for this job. Set this value to
NOTE: Avoid applying overrides unless necessary. These network settings apply to job execution. Preview and sampling use the
default network settings.
- 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:
|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.|
To specify a different subnetwork, enter the URL of the subnetwork. The URL should be in the following format:
<REGION> is the region identifier specified under Regional Endpoint. These values must match.
<SUBNETWORK> is the subnetwork identifier.
If you have access to another project within your organization, you can execute your
job through it by specifying a full URL in the following form:
<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.
For more information on these settings, see Execution Settings Page.
|D s ed|
|Worker IP address configuration|
If the VPC Network mode is set to
custom, then choose one of the following:
Allow public IP addresses - Use workers that are available through public IP addresses. No further configuration is required.
Use internal IP addresses only - 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.
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 .
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 |
|Maximum number of workers|
Maximum number of Google Compute Engine instances to use during execution. This value must be greater than the initial number of workers and must be an integer between
1000 , inclusive.
job executed in
requires that the job be submitted through a service account. By default,
uses a default Compute Engine service account under which to run jobs.
Optionally, you can specify a different service account under which to run your job.
NOTE: When using a named service account to access data and run jobs in other projects, the user running the job must be granted the
roles/iam.serviceAccountUser role on the service account to use it.
For more information on service account usage and requirements, see Google Service Account Management
Create or assign labels to apply to the billing for the
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.