Google Cloud Native v0.28.0, Feb 2 23

google-native.datapipelines/v1.Pipeline

Creates a pipeline. For a batch pipeline, you can pass scheduler information. Data Pipelines uses the scheduler information to create an internal scheduler that runs jobs periodically. If the internal scheduler is not configured, you can use RunPipeline to run jobs.

Create Pipeline Resource

new Pipeline(name: string, args: PipelineArgs, opts?: CustomResourceOptions);

@overload
def Pipeline(resource_name: str,
             opts: Optional[ResourceOptions] = None,
             display_name: Optional[str] = None,
             location: Optional[str] = None,
             name: Optional[str] = None,
             pipeline_sources: Optional[Mapping[str, str]] = None,
             project: Optional[str] = None,
             schedule_info: Optional[GoogleCloudDatapipelinesV1ScheduleSpecArgs] = None,
             scheduler_service_account_email: Optional[str] = None,
             state: Optional[PipelineState] = None,
             type: Optional[PipelineType] = None,
             workload: Optional[GoogleCloudDatapipelinesV1WorkloadArgs] = None)
@overload
def Pipeline(resource_name: str,
             args: PipelineArgs,
             opts: Optional[ResourceOptions] = None)

func NewPipeline(ctx *Context, name string, args PipelineArgs, opts ...ResourceOption) (*Pipeline, error)

public Pipeline(string name, PipelineArgs args, CustomResourceOptions? opts = null)

public Pipeline(String name, PipelineArgs args)
public Pipeline(String name, PipelineArgs args, CustomResourceOptions options)

type: google-native:datapipelines/v1:Pipeline
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

name string: The unique name of the resource.
args PipelineArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args PipelineArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args PipelineArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args PipelineArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args PipelineArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

Pipeline Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

The Pipeline resource accepts the following input properties:

DisplayName string: The display name of the pipeline. It can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), and underscores (_).
State Pulumi.GoogleNative.Datapipelines.V1.PipelineState: The state of the pipeline. When the pipeline is created, the state is set to 'PIPELINE_STATE_ACTIVE' by default. State changes can be requested by setting the state to stopping, paused, or resuming. State cannot be changed through UpdatePipeline requests.
Type Pulumi.GoogleNative.Datapipelines.V1.PipelineType: The type of the pipeline. This field affects the scheduling of the pipeline and the type of metrics to show for the pipeline.
Location string
Name string: The pipeline name. For example: projects/PROJECT_ID/locations/LOCATION_ID/pipelines/PIPELINE_ID. * PROJECT_ID can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), and periods (.). For more information, see Identifying projects. * LOCATION_ID is the canonical ID for the pipeline's location. The list of available locations can be obtained by calling google.cloud.location.Locations.ListLocations. Note that the Data Pipelines service is not available in all regions. It depends on Cloud Scheduler, an App Engine application, so it's only available in App Engine regions. * PIPELINE_ID is the ID of the pipeline. Must be unique for the selected project and location.
PipelineSources Dictionary<string, string>: Immutable. The sources of the pipeline (for example, Dataplex). The keys and values are set by the corresponding sources during pipeline creation.
Project string
ScheduleInfo Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1ScheduleSpecArgs: Internal scheduling information for a pipeline. If this information is provided, periodic jobs will be created per the schedule. If not, users are responsible for creating jobs externally.
SchedulerServiceAccountEmail string: Optional. A service account email to be used with the Cloud Scheduler job. If not specified, the default compute engine service account will be used.
Workload Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1WorkloadArgs: Workload information for creating new jobs.

DisplayName string: The display name of the pipeline. It can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), and underscores (_).
State PipelineStateEnum: The state of the pipeline. When the pipeline is created, the state is set to 'PIPELINE_STATE_ACTIVE' by default. State changes can be requested by setting the state to stopping, paused, or resuming. State cannot be changed through UpdatePipeline requests.
Type PipelineType: The type of the pipeline. This field affects the scheduling of the pipeline and the type of metrics to show for the pipeline.
Location string
Name string: The pipeline name. For example: projects/PROJECT_ID/locations/LOCATION_ID/pipelines/PIPELINE_ID. * PROJECT_ID can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), and periods (.). For more information, see Identifying projects. * LOCATION_ID is the canonical ID for the pipeline's location. The list of available locations can be obtained by calling google.cloud.location.Locations.ListLocations. Note that the Data Pipelines service is not available in all regions. It depends on Cloud Scheduler, an App Engine application, so it's only available in App Engine regions. * PIPELINE_ID is the ID of the pipeline. Must be unique for the selected project and location.
PipelineSources map[string]string: Immutable. The sources of the pipeline (for example, Dataplex). The keys and values are set by the corresponding sources during pipeline creation.
Project string
ScheduleInfo GoogleCloudDatapipelinesV1ScheduleSpecArgs: Internal scheduling information for a pipeline. If this information is provided, periodic jobs will be created per the schedule. If not, users are responsible for creating jobs externally.
SchedulerServiceAccountEmail string: Optional. A service account email to be used with the Cloud Scheduler job. If not specified, the default compute engine service account will be used.
Workload GoogleCloudDatapipelinesV1WorkloadArgs: Workload information for creating new jobs.

displayName String: The display name of the pipeline. It can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), and underscores (_).
state PipelineState: The state of the pipeline. When the pipeline is created, the state is set to 'PIPELINE_STATE_ACTIVE' by default. State changes can be requested by setting the state to stopping, paused, or resuming. State cannot be changed through UpdatePipeline requests.
type PipelineType: The type of the pipeline. This field affects the scheduling of the pipeline and the type of metrics to show for the pipeline.
location String
name String: The pipeline name. For example: projects/PROJECT_ID/locations/LOCATION_ID/pipelines/PIPELINE_ID. * PROJECT_ID can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), and periods (.). For more information, see Identifying projects. * LOCATION_ID is the canonical ID for the pipeline's location. The list of available locations can be obtained by calling google.cloud.location.Locations.ListLocations. Note that the Data Pipelines service is not available in all regions. It depends on Cloud Scheduler, an App Engine application, so it's only available in App Engine regions. * PIPELINE_ID is the ID of the pipeline. Must be unique for the selected project and location.
pipelineSources Map<String,String>: Immutable. The sources of the pipeline (for example, Dataplex). The keys and values are set by the corresponding sources during pipeline creation.
project String
scheduleInfo GoogleCloudDatapipelinesV1ScheduleSpecArgs: Internal scheduling information for a pipeline. If this information is provided, periodic jobs will be created per the schedule. If not, users are responsible for creating jobs externally.
schedulerServiceAccountEmail String: Optional. A service account email to be used with the Cloud Scheduler job. If not specified, the default compute engine service account will be used.
workload GoogleCloudDatapipelinesV1WorkloadArgs: Workload information for creating new jobs.

displayName string: The display name of the pipeline. It can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), and underscores (_).
state PipelineState: The state of the pipeline. When the pipeline is created, the state is set to 'PIPELINE_STATE_ACTIVE' by default. State changes can be requested by setting the state to stopping, paused, or resuming. State cannot be changed through UpdatePipeline requests.
type PipelineType: The type of the pipeline. This field affects the scheduling of the pipeline and the type of metrics to show for the pipeline.
location string
name string: The pipeline name. For example: projects/PROJECT_ID/locations/LOCATION_ID/pipelines/PIPELINE_ID. * PROJECT_ID can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), and periods (.). For more information, see Identifying projects. * LOCATION_ID is the canonical ID for the pipeline's location. The list of available locations can be obtained by calling google.cloud.location.Locations.ListLocations. Note that the Data Pipelines service is not available in all regions. It depends on Cloud Scheduler, an App Engine application, so it's only available in App Engine regions. * PIPELINE_ID is the ID of the pipeline. Must be unique for the selected project and location.
pipelineSources {[key: string]: string}: Immutable. The sources of the pipeline (for example, Dataplex). The keys and values are set by the corresponding sources during pipeline creation.
project string
scheduleInfo GoogleCloudDatapipelinesV1ScheduleSpecArgs: Internal scheduling information for a pipeline. If this information is provided, periodic jobs will be created per the schedule. If not, users are responsible for creating jobs externally.
schedulerServiceAccountEmail string: Optional. A service account email to be used with the Cloud Scheduler job. If not specified, the default compute engine service account will be used.
workload GoogleCloudDatapipelinesV1WorkloadArgs: Workload information for creating new jobs.

display_name str: The display name of the pipeline. It can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), and underscores (_).
state PipelineState: The state of the pipeline. When the pipeline is created, the state is set to 'PIPELINE_STATE_ACTIVE' by default. State changes can be requested by setting the state to stopping, paused, or resuming. State cannot be changed through UpdatePipeline requests.
type PipelineType: The type of the pipeline. This field affects the scheduling of the pipeline and the type of metrics to show for the pipeline.
location str
name str: The pipeline name. For example: projects/PROJECT_ID/locations/LOCATION_ID/pipelines/PIPELINE_ID. * PROJECT_ID can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), and periods (.). For more information, see Identifying projects. * LOCATION_ID is the canonical ID for the pipeline's location. The list of available locations can be obtained by calling google.cloud.location.Locations.ListLocations. Note that the Data Pipelines service is not available in all regions. It depends on Cloud Scheduler, an App Engine application, so it's only available in App Engine regions. * PIPELINE_ID is the ID of the pipeline. Must be unique for the selected project and location.
pipeline_sources Mapping[str, str]: Immutable. The sources of the pipeline (for example, Dataplex). The keys and values are set by the corresponding sources during pipeline creation.
project str
schedule_info GoogleCloudDatapipelinesV1ScheduleSpecArgs: Internal scheduling information for a pipeline. If this information is provided, periodic jobs will be created per the schedule. If not, users are responsible for creating jobs externally.
scheduler_service_account_email str: Optional. A service account email to be used with the Cloud Scheduler job. If not specified, the default compute engine service account will be used.
workload GoogleCloudDatapipelinesV1WorkloadArgs: Workload information for creating new jobs.

displayName String: The display name of the pipeline. It can contain only letters ([A-Za-z]), numbers ([0-9]), hyphens (-), and underscores (_).
state "STATE_UNSPECIFIED" | "STATE_RESUMING" | "STATE_ACTIVE" | "STATE_STOPPING" | "STATE_ARCHIVED" | "STATE_PAUSED": The state of the pipeline. When the pipeline is created, the state is set to 'PIPELINE_STATE_ACTIVE' by default. State changes can be requested by setting the state to stopping, paused, or resuming. State cannot be changed through UpdatePipeline requests.
type "PIPELINE_TYPE_UNSPECIFIED" | "PIPELINE_TYPE_BATCH" | "PIPELINE_TYPE_STREAMING": The type of the pipeline. This field affects the scheduling of the pipeline and the type of metrics to show for the pipeline.
location String
name String: The pipeline name. For example: projects/PROJECT_ID/locations/LOCATION_ID/pipelines/PIPELINE_ID. * PROJECT_ID can contain letters ([A-Za-z]), numbers ([0-9]), hyphens (-), colons (:), and periods (.). For more information, see Identifying projects. * LOCATION_ID is the canonical ID for the pipeline's location. The list of available locations can be obtained by calling google.cloud.location.Locations.ListLocations. Note that the Data Pipelines service is not available in all regions. It depends on Cloud Scheduler, an App Engine application, so it's only available in App Engine regions. * PIPELINE_ID is the ID of the pipeline. Must be unique for the selected project and location.
pipelineSources Map<String>: Immutable. The sources of the pipeline (for example, Dataplex). The keys and values are set by the corresponding sources during pipeline creation.
project String
scheduleInfo Property Map: Internal scheduling information for a pipeline. If this information is provided, periodic jobs will be created per the schedule. If not, users are responsible for creating jobs externally.
schedulerServiceAccountEmail String: Optional. A service account email to be used with the Cloud Scheduler job. If not specified, the default compute engine service account will be used.
workload Property Map: Workload information for creating new jobs.

Outputs

All input properties are implicitly available as output properties. Additionally, the Pipeline resource produces the following output properties:

CreateTime string: Immutable. The timestamp when the pipeline was initially created. Set by the Data Pipelines service.
Id string: The provider-assigned unique ID for this managed resource.
JobCount int: Number of jobs.
LastUpdateTime string: Immutable. The timestamp when the pipeline was last modified. Set by the Data Pipelines service.

CreateTime string: Immutable. The timestamp when the pipeline was initially created. Set by the Data Pipelines service.
Id string: The provider-assigned unique ID for this managed resource.
JobCount int: Number of jobs.
LastUpdateTime string: Immutable. The timestamp when the pipeline was last modified. Set by the Data Pipelines service.

createTime String: Immutable. The timestamp when the pipeline was initially created. Set by the Data Pipelines service.
id String: The provider-assigned unique ID for this managed resource.
jobCount Integer: Number of jobs.
lastUpdateTime String: Immutable. The timestamp when the pipeline was last modified. Set by the Data Pipelines service.

createTime string: Immutable. The timestamp when the pipeline was initially created. Set by the Data Pipelines service.
id string: The provider-assigned unique ID for this managed resource.
jobCount number: Number of jobs.
lastUpdateTime string: Immutable. The timestamp when the pipeline was last modified. Set by the Data Pipelines service.

create_time str: Immutable. The timestamp when the pipeline was initially created. Set by the Data Pipelines service.
id str: The provider-assigned unique ID for this managed resource.
job_count int: Number of jobs.
last_update_time str: Immutable. The timestamp when the pipeline was last modified. Set by the Data Pipelines service.

createTime String: Immutable. The timestamp when the pipeline was initially created. Set by the Data Pipelines service.
id String: The provider-assigned unique ID for this managed resource.
jobCount Number: Number of jobs.
lastUpdateTime String: Immutable. The timestamp when the pipeline was last modified. Set by the Data Pipelines service.

Supporting Types

GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironment

AdditionalExperiments List<string>: Additional experiment flags for the job.
AdditionalUserLabels Dictionary<string, string>: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
FlexrsGoal Pulumi.GoogleNative.Datapipelines.V1.GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoal: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
IpConfiguration Pulumi.GoogleNative.Datapipelines.V1.GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

AdditionalExperiments []string: Additional experiment flags for the job.
AdditionalUserLabels map[string]string: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
FlexrsGoal GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoal: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
IpConfiguration GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String,String>: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
flexrsGoal GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoal: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ipConfiguration GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Integer: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Integer: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments string[]: Additional experiment flags for the job.
additionalUserLabels {[key: string]: string}: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enableStreamingEngine boolean: Whether to enable Streaming Engine for the job.
flexrsGoal GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoal: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ipConfiguration GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
kmsKeyName string: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers number: The initial number of Compute Engine instances for the job.
serviceAccountEmail string: The email address of the service account to run the job as.
subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
workerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additional_experiments Sequence[str]: Additional experiment flags for the job.
additional_user_labels Mapping[str, str]: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enable_streaming_engine bool: Whether to enable Streaming Engine for the job.
flexrs_goal GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoal: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ip_configuration GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
kms_key_name str: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machine_type str: The machine type to use for the job. Defaults to the value from the template if not specified.
max_workers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network str: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
num_workers int: The initial number of Compute Engine instances for the job.
service_account_email str: The email address of the service account to run the job as.
subnetwork str: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
temp_location str: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
worker_region str: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
worker_zone str: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone str: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String>: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
flexrsGoal "FLEXRS_UNSPECIFIED" | "FLEXRS_SPEED_OPTIMIZED" | "FLEXRS_COST_OPTIMIZED": Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ipConfiguration "WORKER_IP_UNSPECIFIED" | "WORKER_IP_PUBLIC" | "WORKER_IP_PRIVATE": Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Number: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoal

FlexrsUnspecified: FLEXRS_UNSPECIFIED
Run in the default mode.
FlexrsSpeedOptimized: FLEXRS_SPEED_OPTIMIZED
Optimize for lower execution time.
FlexrsCostOptimized: FLEXRS_COST_OPTIMIZED
Optimize for lower cost.

GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoalFlexrsUnspecified: FLEXRS_UNSPECIFIED
Run in the default mode.
GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoalFlexrsSpeedOptimized: FLEXRS_SPEED_OPTIMIZED
Optimize for lower execution time.
GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentFlexrsGoalFlexrsCostOptimized: FLEXRS_COST_OPTIMIZED
Optimize for lower cost.

FlexrsUnspecified: FLEXRS_UNSPECIFIED
Run in the default mode.
FlexrsSpeedOptimized: FLEXRS_SPEED_OPTIMIZED
Optimize for lower execution time.
FlexrsCostOptimized: FLEXRS_COST_OPTIMIZED
Optimize for lower cost.

FlexrsUnspecified: FLEXRS_UNSPECIFIED
Run in the default mode.
FlexrsSpeedOptimized: FLEXRS_SPEED_OPTIMIZED
Optimize for lower execution time.
FlexrsCostOptimized: FLEXRS_COST_OPTIMIZED
Optimize for lower cost.

FLEXRS_UNSPECIFIED: FLEXRS_UNSPECIFIED
Run in the default mode.
FLEXRS_SPEED_OPTIMIZED: FLEXRS_SPEED_OPTIMIZED
Optimize for lower execution time.
FLEXRS_COST_OPTIMIZED: FLEXRS_COST_OPTIMIZED
Optimize for lower cost.

"FLEXRS_UNSPECIFIED": FLEXRS_UNSPECIFIED
Run in the default mode.
"FLEXRS_SPEED_OPTIMIZED": FLEXRS_SPEED_OPTIMIZED
Optimize for lower execution time.
"FLEXRS_COST_OPTIMIZED": FLEXRS_COST_OPTIMIZED
Optimize for lower cost.

GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfiguration

WorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfigurationWorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfigurationWorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentIpConfigurationWorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

WorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

WorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

WORKER_IP_UNSPECIFIED: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WORKER_IP_PUBLIC: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WORKER_IP_PRIVATE: WORKER_IP_PRIVATE
Workers should have private IP addresses.

"WORKER_IP_UNSPECIFIED": WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
"WORKER_IP_PUBLIC": WORKER_IP_PUBLIC
Workers should have public IP addresses.
"WORKER_IP_PRIVATE": WORKER_IP_PRIVATE
Workers should have private IP addresses.

GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentResponse

AdditionalExperiments List<string>: Additional experiment flags for the job.
AdditionalUserLabels Dictionary<string, string>: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
FlexrsGoal string: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
IpConfiguration string: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

AdditionalExperiments []string: Additional experiment flags for the job.
AdditionalUserLabels map[string]string: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
FlexrsGoal string: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
IpConfiguration string: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String,String>: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
flexrsGoal String: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ipConfiguration String: Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Integer: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Integer: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments string[]: Additional experiment flags for the job.
additionalUserLabels {[key: string]: string}: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enableStreamingEngine boolean: Whether to enable Streaming Engine for the job.
flexrsGoal string: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ipConfiguration string: Configuration for VM IPs.
kmsKeyName string: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers number: The initial number of Compute Engine instances for the job.
serviceAccountEmail string: The email address of the service account to run the job as.
subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
workerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additional_experiments Sequence[str]: Additional experiment flags for the job.
additional_user_labels Mapping[str, str]: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enable_streaming_engine bool: Whether to enable Streaming Engine for the job.
flexrs_goal str: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ip_configuration str: Configuration for VM IPs.
kms_key_name str: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machine_type str: The machine type to use for the job. Defaults to the value from the template if not specified.
max_workers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network str: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
num_workers int: The initial number of Compute Engine instances for the job.
service_account_email str: The email address of the service account to run the job as.
subnetwork str: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
temp_location str: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
worker_region str: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
worker_zone str: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone str: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String>: Additional user labels to be specified for the job. Keys and values must follow the restrictions specified in the labeling restrictions. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
flexrsGoal String: Set FlexRS goal for the job. https://cloud.google.com/dataflow/docs/guides/flexrs
ipConfiguration String: Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. Key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Number: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, defaults to the control plane region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

GoogleCloudDatapipelinesV1LaunchFlexTemplateParameter

JobName string: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
ContainerSpecGcsPath string: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
Environment Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironment: The runtime environment for the Flex Template job.
LaunchOptions Dictionary<string, string>: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
Parameters Dictionary<string, string>: The parameters for the Flex Template. Example: {"num_workers":"5"}
TransformNameMappings Dictionary<string, string>: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
Update bool: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

JobName string: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
ContainerSpecGcsPath string: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
Environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironment: The runtime environment for the Flex Template job.
LaunchOptions map[string]string: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
Parameters map[string]string: The parameters for the Flex Template. Example: {"num_workers":"5"}
TransformNameMappings map[string]string: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
Update bool: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

jobName String: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
containerSpecGcsPath String: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironment: The runtime environment for the Flex Template job.
launchOptions Map<String,String>: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters Map<String,String>: The parameters for the Flex Template. Example: {"num_workers":"5"}
transformNameMappings Map<String,String>: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update Boolean: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

jobName string: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
containerSpecGcsPath string: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironment: The runtime environment for the Flex Template job.
launchOptions {[key: string]: string}: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters {[key: string]: string}: The parameters for the Flex Template. Example: {"num_workers":"5"}
transformNameMappings {[key: string]: string}: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update boolean: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

job_name str: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
container_spec_gcs_path str: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironment: The runtime environment for the Flex Template job.
launch_options Mapping[str, str]: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters Mapping[str, str]: The parameters for the Flex Template. Example: {"num_workers":"5"}
transform_name_mappings Mapping[str, str]: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update bool: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

jobName String: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
containerSpecGcsPath String: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment Property Map: The runtime environment for the Flex Template job.
launchOptions Map<String>: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters Map<String>: The parameters for the Flex Template. Example: {"num_workers":"5"}
transformNameMappings Map<String>: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update Boolean: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

GoogleCloudDatapipelinesV1LaunchFlexTemplateParameterResponse

ContainerSpecGcsPath string: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
Environment Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentResponse: The runtime environment for the Flex Template job.
JobName string: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
LaunchOptions Dictionary<string, string>: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
Parameters Dictionary<string, string>: The parameters for the Flex Template. Example: {"num_workers":"5"}
TransformNameMappings Dictionary<string, string>: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
Update bool: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

ContainerSpecGcsPath string: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
Environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentResponse: The runtime environment for the Flex Template job.
JobName string: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
LaunchOptions map[string]string: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
Parameters map[string]string: The parameters for the Flex Template. Example: {"num_workers":"5"}
TransformNameMappings map[string]string: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
Update bool: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

containerSpecGcsPath String: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentResponse: The runtime environment for the Flex Template job.
jobName String: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
launchOptions Map<String,String>: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters Map<String,String>: The parameters for the Flex Template. Example: {"num_workers":"5"}
transformNameMappings Map<String,String>: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update Boolean: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

containerSpecGcsPath string: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentResponse: The runtime environment for the Flex Template job.
jobName string: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
launchOptions {[key: string]: string}: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters {[key: string]: string}: The parameters for the Flex Template. Example: {"num_workers":"5"}
transformNameMappings {[key: string]: string}: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update boolean: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

container_spec_gcs_path str: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment GoogleCloudDatapipelinesV1FlexTemplateRuntimeEnvironmentResponse: The runtime environment for the Flex Template job.
job_name str: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
launch_options Mapping[str, str]: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters Mapping[str, str]: The parameters for the Flex Template. Example: {"num_workers":"5"}
transform_name_mappings Mapping[str, str]: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update bool: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

containerSpecGcsPath String: Cloud Storage path to a file with a JSON-serialized ContainerSpec as content.
environment Property Map: The runtime environment for the Flex Template job.
jobName String: The job name to use for the created job. For an update job request, the job name should be the same as the existing running job.
launchOptions Map<String>: Launch options for this Flex Template job. This is a common set of options across languages and templates. This should not be used to pass job parameters.
parameters Map<String>: The parameters for the Flex Template. Example: {"num_workers":"5"}
transformNameMappings Map<String>: Use this to pass transform name mappings for streaming update jobs. Example: {"oldTransformName":"newTransformName",...}
update Boolean: Set this to true if you are sending a request to update a running streaming job. When set, the job name should be the same as the running job.

GoogleCloudDatapipelinesV1LaunchFlexTemplateRequest

LaunchParameter Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchFlexTemplateParameter: Parameter to launch a job from a Flex Template.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
Project string: The ID of the Cloud Platform project that the job belongs to.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

LaunchParameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameter: Parameter to launch a job from a Flex Template.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
Project string: The ID of the Cloud Platform project that the job belongs to.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

launchParameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameter: Parameter to launch a job from a Flex Template.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project String: The ID of the Cloud Platform project that the job belongs to.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

launchParameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameter: Parameter to launch a job from a Flex Template.
location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project string: The ID of the Cloud Platform project that the job belongs to.
validateOnly boolean: If true, the request is validated but not actually executed. Defaults to false.

launch_parameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameter: Parameter to launch a job from a Flex Template.
location str: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project str: The ID of the Cloud Platform project that the job belongs to.
validate_only bool: If true, the request is validated but not actually executed. Defaults to false.

launchParameter Property Map: Parameter to launch a job from a Flex Template.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project String: The ID of the Cloud Platform project that the job belongs to.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

GoogleCloudDatapipelinesV1LaunchFlexTemplateRequestResponse

LaunchParameter Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchFlexTemplateParameterResponse: Parameter to launch a job from a Flex Template.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
Project string: The ID of the Cloud Platform project that the job belongs to.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

LaunchParameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameterResponse: Parameter to launch a job from a Flex Template.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
Project string: The ID of the Cloud Platform project that the job belongs to.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

launchParameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameterResponse: Parameter to launch a job from a Flex Template.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project String: The ID of the Cloud Platform project that the job belongs to.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

launchParameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameterResponse: Parameter to launch a job from a Flex Template.
location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project string: The ID of the Cloud Platform project that the job belongs to.
validateOnly boolean: If true, the request is validated but not actually executed. Defaults to false.

launch_parameter GoogleCloudDatapipelinesV1LaunchFlexTemplateParameterResponse: Parameter to launch a job from a Flex Template.
location str: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project str: The ID of the Cloud Platform project that the job belongs to.
validate_only bool: If true, the request is validated but not actually executed. Defaults to false.

launchParameter Property Map: Parameter to launch a job from a Flex Template.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request. For example, us-central1, us-west1.
project String: The ID of the Cloud Platform project that the job belongs to.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

GoogleCloudDatapipelinesV1LaunchTemplateParameters

JobName string: The job name to use for the created job.
Environment Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1RuntimeEnvironment: The runtime environment for the job.
Parameters Dictionary<string, string>: The runtime parameters to pass to the job.
TransformNameMapping Dictionary<string, string>: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
Update bool: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

JobName string: The job name to use for the created job.
Environment GoogleCloudDatapipelinesV1RuntimeEnvironment: The runtime environment for the job.
Parameters map[string]string: The runtime parameters to pass to the job.
TransformNameMapping map[string]string: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
Update bool: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

jobName String: The job name to use for the created job.
environment GoogleCloudDatapipelinesV1RuntimeEnvironment: The runtime environment for the job.
parameters Map<String,String>: The runtime parameters to pass to the job.
transformNameMapping Map<String,String>: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update Boolean: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

jobName string: The job name to use for the created job.
environment GoogleCloudDatapipelinesV1RuntimeEnvironment: The runtime environment for the job.
parameters {[key: string]: string}: The runtime parameters to pass to the job.
transformNameMapping {[key: string]: string}: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update boolean: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

job_name str: The job name to use for the created job.
environment GoogleCloudDatapipelinesV1RuntimeEnvironment: The runtime environment for the job.
parameters Mapping[str, str]: The runtime parameters to pass to the job.
transform_name_mapping Mapping[str, str]: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update bool: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

jobName String: The job name to use for the created job.
environment Property Map: The runtime environment for the job.
parameters Map<String>: The runtime parameters to pass to the job.
transformNameMapping Map<String>: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update Boolean: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

GoogleCloudDatapipelinesV1LaunchTemplateParametersResponse

Environment Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1RuntimeEnvironmentResponse: The runtime environment for the job.
JobName string: The job name to use for the created job.
Parameters Dictionary<string, string>: The runtime parameters to pass to the job.
TransformNameMapping Dictionary<string, string>: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
Update bool: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

Environment GoogleCloudDatapipelinesV1RuntimeEnvironmentResponse: The runtime environment for the job.
JobName string: The job name to use for the created job.
Parameters map[string]string: The runtime parameters to pass to the job.
TransformNameMapping map[string]string: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
Update bool: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

environment GoogleCloudDatapipelinesV1RuntimeEnvironmentResponse: The runtime environment for the job.
jobName String: The job name to use for the created job.
parameters Map<String,String>: The runtime parameters to pass to the job.
transformNameMapping Map<String,String>: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update Boolean: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

environment GoogleCloudDatapipelinesV1RuntimeEnvironmentResponse: The runtime environment for the job.
jobName string: The job name to use for the created job.
parameters {[key: string]: string}: The runtime parameters to pass to the job.
transformNameMapping {[key: string]: string}: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update boolean: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

environment GoogleCloudDatapipelinesV1RuntimeEnvironmentResponse: The runtime environment for the job.
job_name str: The job name to use for the created job.
parameters Mapping[str, str]: The runtime parameters to pass to the job.
transform_name_mapping Mapping[str, str]: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update bool: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

environment Property Map: The runtime environment for the job.
jobName String: The job name to use for the created job.
parameters Map<String>: The runtime parameters to pass to the job.
transformNameMapping Map<String>: Map of transform name prefixes of the job to be replaced to the corresponding name prefixes of the new job. Only applicable when updating a pipeline.
update Boolean: If set, replace the existing pipeline with the name specified by jobName with this pipeline, preserving state.

GoogleCloudDatapipelinesV1LaunchTemplateRequest

Project string: The ID of the Cloud Platform project that the job belongs to.
GcsPath string: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
LaunchParameters Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchTemplateParameters: The parameters of the template to launch. This should be part of the body of the POST request.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

Project string: The ID of the Cloud Platform project that the job belongs to.
GcsPath string: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
LaunchParameters GoogleCloudDatapipelinesV1LaunchTemplateParameters: The parameters of the template to launch. This should be part of the body of the POST request.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

project String: The ID of the Cloud Platform project that the job belongs to.
gcsPath String: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launchParameters GoogleCloudDatapipelinesV1LaunchTemplateParameters: The parameters of the template to launch. This should be part of the body of the POST request.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

project string: The ID of the Cloud Platform project that the job belongs to.
gcsPath string: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launchParameters GoogleCloudDatapipelinesV1LaunchTemplateParameters: The parameters of the template to launch. This should be part of the body of the POST request.
location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
validateOnly boolean: If true, the request is validated but not actually executed. Defaults to false.

project str: The ID of the Cloud Platform project that the job belongs to.
gcs_path str: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launch_parameters GoogleCloudDatapipelinesV1LaunchTemplateParameters: The parameters of the template to launch. This should be part of the body of the POST request.
location str: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
validate_only bool: If true, the request is validated but not actually executed. Defaults to false.

project String: The ID of the Cloud Platform project that the job belongs to.
gcsPath String: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launchParameters Property Map: The parameters of the template to launch. This should be part of the body of the POST request.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

GoogleCloudDatapipelinesV1LaunchTemplateRequestResponse

GcsPath string: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
LaunchParameters Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchTemplateParametersResponse: The parameters of the template to launch. This should be part of the body of the POST request.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
Project string: The ID of the Cloud Platform project that the job belongs to.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

GcsPath string: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
LaunchParameters GoogleCloudDatapipelinesV1LaunchTemplateParametersResponse: The parameters of the template to launch. This should be part of the body of the POST request.
Location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
Project string: The ID of the Cloud Platform project that the job belongs to.
ValidateOnly bool: If true, the request is validated but not actually executed. Defaults to false.

gcsPath String: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launchParameters GoogleCloudDatapipelinesV1LaunchTemplateParametersResponse: The parameters of the template to launch. This should be part of the body of the POST request.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
project String: The ID of the Cloud Platform project that the job belongs to.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

gcsPath string: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launchParameters GoogleCloudDatapipelinesV1LaunchTemplateParametersResponse: The parameters of the template to launch. This should be part of the body of the POST request.
location string: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
project string: The ID of the Cloud Platform project that the job belongs to.
validateOnly boolean: If true, the request is validated but not actually executed. Defaults to false.

gcs_path str: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launch_parameters GoogleCloudDatapipelinesV1LaunchTemplateParametersResponse: The parameters of the template to launch. This should be part of the body of the POST request.
location str: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
project str: The ID of the Cloud Platform project that the job belongs to.
validate_only bool: If true, the request is validated but not actually executed. Defaults to false.

gcsPath String: A Cloud Storage path to the template from which to create the job. Must be a valid Cloud Storage URL, beginning with 'gs://'.
launchParameters Property Map: The parameters of the template to launch. This should be part of the body of the POST request.
location String: The [regional endpoint] (https://cloud.google.com/dataflow/docs/concepts/regional-endpoints) to which to direct the request.
project String: The ID of the Cloud Platform project that the job belongs to.
validateOnly Boolean: If true, the request is validated but not actually executed. Defaults to false.

GoogleCloudDatapipelinesV1RuntimeEnvironment

AdditionalExperiments List<string>: Additional experiment flags for the job.
AdditionalUserLabels Dictionary<string, string>: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
BypassTempDirValidation bool: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
IpConfiguration Pulumi.GoogleNative.Datapipelines.V1.GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

AdditionalExperiments []string: Additional experiment flags for the job.
AdditionalUserLabels map[string]string: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
BypassTempDirValidation bool: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
IpConfiguration GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String,String>: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypassTempDirValidation Boolean: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
ipConfiguration GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Integer: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Integer: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments string[]: Additional experiment flags for the job.
additionalUserLabels {[key: string]: string}: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypassTempDirValidation boolean: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enableStreamingEngine boolean: Whether to enable Streaming Engine for the job.
ipConfiguration GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
kmsKeyName string: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers number: The initial number of Compute Engine instances for the job.
serviceAccountEmail string: The email address of the service account to run the job as.
subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
workerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additional_experiments Sequence[str]: Additional experiment flags for the job.
additional_user_labels Mapping[str, str]: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypass_temp_dir_validation bool: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enable_streaming_engine bool: Whether to enable Streaming Engine for the job.
ip_configuration GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfiguration: Configuration for VM IPs.
kms_key_name str: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machine_type str: The machine type to use for the job. Defaults to the value from the template if not specified.
max_workers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network str: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
num_workers int: The initial number of Compute Engine instances for the job.
service_account_email str: The email address of the service account to run the job as.
subnetwork str: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
temp_location str: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
worker_region str: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
worker_zone str: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone str: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String>: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypassTempDirValidation Boolean: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
ipConfiguration "WORKER_IP_UNSPECIFIED" | "WORKER_IP_PUBLIC" | "WORKER_IP_PRIVATE": Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Number: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfiguration

WorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfigurationWorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfigurationWorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
GoogleCloudDatapipelinesV1RuntimeEnvironmentIpConfigurationWorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

WorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

WorkerIpUnspecified: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WorkerIpPublic: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WorkerIpPrivate: WORKER_IP_PRIVATE
Workers should have private IP addresses.

WORKER_IP_UNSPECIFIED: WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
WORKER_IP_PUBLIC: WORKER_IP_PUBLIC
Workers should have public IP addresses.
WORKER_IP_PRIVATE: WORKER_IP_PRIVATE
Workers should have private IP addresses.

"WORKER_IP_UNSPECIFIED": WORKER_IP_UNSPECIFIED
The configuration is unknown, or unspecified.
"WORKER_IP_PUBLIC": WORKER_IP_PUBLIC
Workers should have public IP addresses.
"WORKER_IP_PRIVATE": WORKER_IP_PRIVATE
Workers should have private IP addresses.

GoogleCloudDatapipelinesV1RuntimeEnvironmentResponse

AdditionalExperiments List<string>: Additional experiment flags for the job.
AdditionalUserLabels Dictionary<string, string>: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
BypassTempDirValidation bool: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
IpConfiguration string: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

AdditionalExperiments []string: Additional experiment flags for the job.
AdditionalUserLabels map[string]string: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
BypassTempDirValidation bool: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
EnableStreamingEngine bool: Whether to enable Streaming Engine for the job.
IpConfiguration string: Configuration for VM IPs.
KmsKeyName string: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
MachineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
MaxWorkers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
Network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
NumWorkers int: The initial number of Compute Engine instances for the job.
ServiceAccountEmail string: The email address of the service account to run the job as.
Subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
TempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
WorkerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
WorkerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
Zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String,String>: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypassTempDirValidation Boolean: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
ipConfiguration String: Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Integer: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Integer: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments string[]: Additional experiment flags for the job.
additionalUserLabels {[key: string]: string}: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypassTempDirValidation boolean: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enableStreamingEngine boolean: Whether to enable Streaming Engine for the job.
ipConfiguration string: Configuration for VM IPs.
kmsKeyName string: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machineType string: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network string: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers number: The initial number of Compute Engine instances for the job.
serviceAccountEmail string: The email address of the service account to run the job as.
subnetwork string: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation string: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion string: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
workerZone string: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone string: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additional_experiments Sequence[str]: Additional experiment flags for the job.
additional_user_labels Mapping[str, str]: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypass_temp_dir_validation bool: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enable_streaming_engine bool: Whether to enable Streaming Engine for the job.
ip_configuration str: Configuration for VM IPs.
kms_key_name str: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machine_type str: The machine type to use for the job. Defaults to the value from the template if not specified.
max_workers int: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network str: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
num_workers int: The initial number of Compute Engine instances for the job.
service_account_email str: The email address of the service account to run the job as.
subnetwork str: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
temp_location str: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
worker_region str: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
worker_zone str: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone str: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

additionalExperiments List<String>: Additional experiment flags for the job.
additionalUserLabels Map<String>: Additional user labels to be specified for the job. Keys and values should follow the restrictions specified in the labeling restrictions page. An object containing a list of key/value pairs. Example: { "name": "wrench", "mass": "1kg", "count": "3" }.
bypassTempDirValidation Boolean: Whether to bypass the safety checks for the job's temporary directory. Use with caution.
enableStreamingEngine Boolean: Whether to enable Streaming Engine for the job.
ipConfiguration String: Configuration for VM IPs.
kmsKeyName String: Name for the Cloud KMS key for the job. The key format is: projects//locations//keyRings//cryptoKeys/
machineType String: The machine type to use for the job. Defaults to the value from the template if not specified.
maxWorkers Number: The maximum number of Compute Engine instances to be made available to your pipeline during execution, from 1 to 1000.
network String: Network to which VMs will be assigned. If empty or unspecified, the service will use the network "default".
numWorkers Number: The initial number of Compute Engine instances for the job.
serviceAccountEmail String: The email address of the service account to run the job as.
subnetwork String: Subnetwork to which VMs will be assigned, if desired. You can specify a subnetwork using either a complete URL or an abbreviated path. Expected to be of the form "https://www.googleapis.com/compute/v1/projects/HOST_PROJECT_ID/regions/REGION/subnetworks/SUBNETWORK" or "regions/REGION/subnetworks/SUBNETWORK". If the subnetwork is located in a Shared VPC network, you must use the complete URL.
tempLocation String: The Cloud Storage path to use for temporary files. Must be a valid Cloud Storage URL, beginning with gs://.
workerRegion String: The Compute Engine region (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1". Mutually exclusive with worker_zone. If neither worker_region nor worker_zone is specified, default to the control plane's region.
workerZone String: The Compute Engine zone (https://cloud.google.com/compute/docs/regions-zones/regions-zones) in which worker processing should occur, e.g. "us-west1-a". Mutually exclusive with worker_region. If neither worker_region nor worker_zone is specified, a zone in the control plane's region is chosen based on available capacity. If both worker_zone and zone are set, worker_zone takes precedence.
zone String: The Compute Engine availability zone for launching worker instances to run your pipeline. In the future, worker_zone will take precedence.

GoogleCloudDatapipelinesV1ScheduleSpec

Schedule string: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
TimeZone string: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

Schedule string: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
TimeZone string: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

schedule String: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
timeZone String: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

schedule string: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
timeZone string: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

schedule str: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
time_zone str: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

schedule String: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
timeZone String: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

GoogleCloudDatapipelinesV1ScheduleSpecResponse

NextJobTime string: When the next Scheduler job is going to run.
Schedule string: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
TimeZone string: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

NextJobTime string: When the next Scheduler job is going to run.
Schedule string: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
TimeZone string: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

nextJobTime String: When the next Scheduler job is going to run.
schedule String: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
timeZone String: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

nextJobTime string: When the next Scheduler job is going to run.
schedule string: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
timeZone string: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

next_job_time str: When the next Scheduler job is going to run.
schedule str: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
time_zone str: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

nextJobTime String: When the next Scheduler job is going to run.
schedule String: Unix-cron format of the schedule. This information is retrieved from the linked Cloud Scheduler.
timeZone String: Timezone ID. This matches the timezone IDs used by the Cloud Scheduler API. If empty, UTC time is assumed.

GoogleCloudDatapipelinesV1Workload

DataflowFlexTemplateRequest Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchFlexTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
DataflowLaunchTemplateRequest Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

DataflowFlexTemplateRequest GoogleCloudDatapipelinesV1LaunchFlexTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
DataflowLaunchTemplateRequest GoogleCloudDatapipelinesV1LaunchTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflowFlexTemplateRequest GoogleCloudDatapipelinesV1LaunchFlexTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflowLaunchTemplateRequest GoogleCloudDatapipelinesV1LaunchTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflowFlexTemplateRequest GoogleCloudDatapipelinesV1LaunchFlexTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflowLaunchTemplateRequest GoogleCloudDatapipelinesV1LaunchTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflow_flex_template_request GoogleCloudDatapipelinesV1LaunchFlexTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflow_launch_template_request GoogleCloudDatapipelinesV1LaunchTemplateRequest: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflowFlexTemplateRequest Property Map: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflowLaunchTemplateRequest Property Map: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

GoogleCloudDatapipelinesV1WorkloadResponse

DataflowFlexTemplateRequest Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchFlexTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
DataflowLaunchTemplateRequest Pulumi.GoogleNative.Datapipelines.V1.Inputs.GoogleCloudDatapipelinesV1LaunchTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

DataflowFlexTemplateRequest GoogleCloudDatapipelinesV1LaunchFlexTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
DataflowLaunchTemplateRequest GoogleCloudDatapipelinesV1LaunchTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflowFlexTemplateRequest GoogleCloudDatapipelinesV1LaunchFlexTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflowLaunchTemplateRequest GoogleCloudDatapipelinesV1LaunchTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflowFlexTemplateRequest GoogleCloudDatapipelinesV1LaunchFlexTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflowLaunchTemplateRequest GoogleCloudDatapipelinesV1LaunchTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflow_flex_template_request GoogleCloudDatapipelinesV1LaunchFlexTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflow_launch_template_request GoogleCloudDatapipelinesV1LaunchTemplateRequestResponse: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

dataflowFlexTemplateRequest Property Map: Template information and additional parameters needed to launch a Dataflow job using the flex launch API.
dataflowLaunchTemplateRequest Property Map: Template information and additional parameters needed to launch a Dataflow job using the standard launch API.

PipelineState

StateUnspecified: STATE_UNSPECIFIED
The pipeline state isn't specified.
StateResuming: STATE_RESUMING
The pipeline is getting started or resumed. When finished, the pipeline state will be 'PIPELINE_STATE_ACTIVE'.
StateActive: STATE_ACTIVE
The pipeline is actively running.
StateStopping: STATE_STOPPING
The pipeline is in the process of stopping. When finished, the pipeline state will be 'PIPELINE_STATE_ARCHIVED'.
StateArchived: STATE_ARCHIVED
The pipeline has been stopped. This is a terminal state and cannot be undone.
StatePaused: STATE_PAUSED
The pipeline is paused. This is a non-terminal state. When the pipeline is paused, it will hold processing jobs, but can be resumed later. For a batch pipeline, this means pausing the scheduler job. For a streaming pipeline, creating a job snapshot to resume from will give the same effect.

PipelineStateStateUnspecified: STATE_UNSPECIFIED
The pipeline state isn't specified.
PipelineStateStateResuming: STATE_RESUMING
The pipeline is getting started or resumed. When finished, the pipeline state will be 'PIPELINE_STATE_ACTIVE'.
PipelineStateStateActive: STATE_ACTIVE
The pipeline is actively running.
PipelineStateStateStopping: STATE_STOPPING
The pipeline is in the process of stopping. When finished, the pipeline state will be 'PIPELINE_STATE_ARCHIVED'.
PipelineStateStateArchived: STATE_ARCHIVED
The pipeline has been stopped. This is a terminal state and cannot be undone.
PipelineStateStatePaused: STATE_PAUSED
The pipeline is paused. This is a non-terminal state. When the pipeline is paused, it will hold processing jobs, but can be resumed later. For a batch pipeline, this means pausing the scheduler job. For a streaming pipeline, creating a job snapshot to resume from will give the same effect.

StateUnspecified: STATE_UNSPECIFIED
The pipeline state isn't specified.
StateResuming: STATE_RESUMING
The pipeline is getting started or resumed. When finished, the pipeline state will be 'PIPELINE_STATE_ACTIVE'.
StateActive: STATE_ACTIVE
The pipeline is actively running.
StateStopping: STATE_STOPPING
The pipeline is in the process of stopping. When finished, the pipeline state will be 'PIPELINE_STATE_ARCHIVED'.
StateArchived: STATE_ARCHIVED
The pipeline has been stopped. This is a terminal state and cannot be undone.
StatePaused: STATE_PAUSED
The pipeline is paused. This is a non-terminal state. When the pipeline is paused, it will hold processing jobs, but can be resumed later. For a batch pipeline, this means pausing the scheduler job. For a streaming pipeline, creating a job snapshot to resume from will give the same effect.

StateUnspecified: STATE_UNSPECIFIED
The pipeline state isn't specified.
StateResuming: STATE_RESUMING
The pipeline is getting started or resumed. When finished, the pipeline state will be 'PIPELINE_STATE_ACTIVE'.
StateActive: STATE_ACTIVE
The pipeline is actively running.
StateStopping: STATE_STOPPING
The pipeline is in the process of stopping. When finished, the pipeline state will be 'PIPELINE_STATE_ARCHIVED'.
StateArchived: STATE_ARCHIVED
The pipeline has been stopped. This is a terminal state and cannot be undone.
StatePaused: STATE_PAUSED
The pipeline is paused. This is a non-terminal state. When the pipeline is paused, it will hold processing jobs, but can be resumed later. For a batch pipeline, this means pausing the scheduler job. For a streaming pipeline, creating a job snapshot to resume from will give the same effect.

STATE_UNSPECIFIED: STATE_UNSPECIFIED
The pipeline state isn't specified.
STATE_RESUMING: STATE_RESUMING
The pipeline is getting started or resumed. When finished, the pipeline state will be 'PIPELINE_STATE_ACTIVE'.
STATE_ACTIVE: STATE_ACTIVE
The pipeline is actively running.
STATE_STOPPING: STATE_STOPPING
The pipeline is in the process of stopping. When finished, the pipeline state will be 'PIPELINE_STATE_ARCHIVED'.
STATE_ARCHIVED: STATE_ARCHIVED
The pipeline has been stopped. This is a terminal state and cannot be undone.
STATE_PAUSED: STATE_PAUSED
The pipeline is paused. This is a non-terminal state. When the pipeline is paused, it will hold processing jobs, but can be resumed later. For a batch pipeline, this means pausing the scheduler job. For a streaming pipeline, creating a job snapshot to resume from will give the same effect.

"STATE_UNSPECIFIED": STATE_UNSPECIFIED
The pipeline state isn't specified.
"STATE_RESUMING": STATE_RESUMING
The pipeline is getting started or resumed. When finished, the pipeline state will be 'PIPELINE_STATE_ACTIVE'.
"STATE_ACTIVE": STATE_ACTIVE
The pipeline is actively running.
"STATE_STOPPING": STATE_STOPPING
The pipeline is in the process of stopping. When finished, the pipeline state will be 'PIPELINE_STATE_ARCHIVED'.
"STATE_ARCHIVED": STATE_ARCHIVED
The pipeline has been stopped. This is a terminal state and cannot be undone.
"STATE_PAUSED": STATE_PAUSED
The pipeline is paused. This is a non-terminal state. When the pipeline is paused, it will hold processing jobs, but can be resumed later. For a batch pipeline, this means pausing the scheduler job. For a streaming pipeline, creating a job snapshot to resume from will give the same effect.

PipelineType

PipelineTypeUnspecified: PIPELINE_TYPE_UNSPECIFIED
The pipeline type isn't specified.
PipelineTypeBatch: PIPELINE_TYPE_BATCH
A batch pipeline. It runs jobs on a specific schedule, and each job will automatically terminate once execution is finished.
PipelineTypeStreaming: PIPELINE_TYPE_STREAMING
A streaming pipeline. The underlying job is continuously running until it is manually terminated by the user. This type of pipeline doesn't have a schedule to run on, and the linked job gets created when the pipeline is created.

PipelineTypePipelineTypeUnspecified: PIPELINE_TYPE_UNSPECIFIED
The pipeline type isn't specified.
PipelineTypePipelineTypeBatch: PIPELINE_TYPE_BATCH
A batch pipeline. It runs jobs on a specific schedule, and each job will automatically terminate once execution is finished.
PipelineTypePipelineTypeStreaming: PIPELINE_TYPE_STREAMING
A streaming pipeline. The underlying job is continuously running until it is manually terminated by the user. This type of pipeline doesn't have a schedule to run on, and the linked job gets created when the pipeline is created.

PipelineTypeUnspecified: PIPELINE_TYPE_UNSPECIFIED
The pipeline type isn't specified.
PipelineTypeBatch: PIPELINE_TYPE_BATCH
A batch pipeline. It runs jobs on a specific schedule, and each job will automatically terminate once execution is finished.
PipelineTypeStreaming: PIPELINE_TYPE_STREAMING
A streaming pipeline. The underlying job is continuously running until it is manually terminated by the user. This type of pipeline doesn't have a schedule to run on, and the linked job gets created when the pipeline is created.

PipelineTypeUnspecified: PIPELINE_TYPE_UNSPECIFIED
The pipeline type isn't specified.
PipelineTypeBatch: PIPELINE_TYPE_BATCH
A batch pipeline. It runs jobs on a specific schedule, and each job will automatically terminate once execution is finished.
PipelineTypeStreaming: PIPELINE_TYPE_STREAMING
A streaming pipeline. The underlying job is continuously running until it is manually terminated by the user. This type of pipeline doesn't have a schedule to run on, and the linked job gets created when the pipeline is created.

PIPELINE_TYPE_UNSPECIFIED: PIPELINE_TYPE_UNSPECIFIED
The pipeline type isn't specified.
PIPELINE_TYPE_BATCH: PIPELINE_TYPE_BATCH
A batch pipeline. It runs jobs on a specific schedule, and each job will automatically terminate once execution is finished.
PIPELINE_TYPE_STREAMING: PIPELINE_TYPE_STREAMING
A streaming pipeline. The underlying job is continuously running until it is manually terminated by the user. This type of pipeline doesn't have a schedule to run on, and the linked job gets created when the pipeline is created.

"PIPELINE_TYPE_UNSPECIFIED": PIPELINE_TYPE_UNSPECIFIED
The pipeline type isn't specified.
"PIPELINE_TYPE_BATCH": PIPELINE_TYPE_BATCH
A batch pipeline. It runs jobs on a specific schedule, and each job will automatically terminate once execution is finished.
"PIPELINE_TYPE_STREAMING": PIPELINE_TYPE_STREAMING
A streaming pipeline. The underlying job is continuously running until it is manually terminated by the user. This type of pipeline doesn't have a schedule to run on, and the linked job gets created when the pipeline is created.

Package Details

Repository: Google Cloud Native pulumi/pulumi-google-native
License: Apache-2.0