Google Cloud Dataflow LaunchTemplate
CertifiedLaunch a Classic Template Dataflow job from a GCS path
Google Cloud Dataflow LaunchTemplate
Launch a Classic Template Dataflow job from a GCS path
Starts a Dataflow pipeline defined as a Classic Template stored in Google Cloud Storage.
type: io.kestra.plugin.gcp.dataflow.LaunchTemplateExamples
Launch a Classic Template job.
id: dataflow_classic_template
namespace: company.team
inputs:
- id: input_path
type: STRING
tasks:
- id: launch
type: io.kestra.plugin.gcp.dataflow.LaunchTemplate
projectId: "{{ secret('GCP_PROJECT_ID') }}"
location: us-central1
jobName: my-etl-job
gcsPath: gs://my-bucket/templates/my-template
parameters:
inputFile: "{{ inputs.input_path }}"
outputTable: my-project:my_dataset.my_table
Installation
Our standard Docker images already include this plugin. If you use a -slim image or another setup, install it with the following command:
kestractl plugins get io.kestra.plugin:plugin-gcp --compatible-for $KESTRA_VERSION For kestractl, use your Kestra version with --compatible-for, or specify an exact plugin version.
For Kestra CLI, replace LATEST with a specific version or version range to pin the plugin version.
Properties
gcsPath *string
The Cloud Storage path to the Classic Template
jobName *string
The unique job name
location *string
The regional endpoint (e.g. us-central1)
assets
Assets this task consumes as inputs or produces as outputs, for lineage tracking and the asset graph (Enterprise Edition). A flow declaring this property on a task is rejected in the open-source edition.
io.kestra.core.models.assets.AssetsDeclaration
IGNOREFAILWARNAsset failure behavior
Behavior applied to the task state when a declared asset fails to render, emit, or be persisted (e.g. a lock conflict): FAIL escalates it to FAILED, WARN (default) warns it if it would otherwise succeed, IGNORE leaves the state untouched.
Whether to auto-register assets referenced dynamically at runtime that are not statically declared in inputs or outputs.
The assets consumed as inputs.
io.kestra.core.models.assets.AssetIdentifier
1The assets produced as outputs.
io.kestra.plugin.ee.assets.Dataset
1150{}1150io.kestra.plugin.ee.assets.File
1150{}1150io.kestra.plugin.ee.assets.Table
1150{}1150io.kestra.plugin.ee.assets.VM
1150{}1150io.kestra.core.models.assets.External
1150{}1150io.kestra.core.models.assets.Custom
11501Custom asset type
{}1150environment object
Template runtime environment options
impersonatedServiceAccount string
The GCP service account to impersonate
parameters object
Template parameters
projectId string
The GCP project ID
scopes array
["https://www.googleapis.com/auth/cloud-platform"]The GCP scopes to be used
serviceAccount string
The GCP service account
When unset or rendered to an empty value, Application Default Credentials are used (e.g. GOOGLE_APPLICATION_CREDENTIALS or the runtime's attached identity).
workloadIdentityAudience string
Audience of the Workload Identity Federation provider
The full resource name of the workload identity pool provider, //iam.googleapis.com/projects/<number>/locations/global/workloadIdentityPools/<pool>/providers/<provider>.
Required with workloadIdentityToken, and must match the aud claim of the token.
workloadIdentityToken string
OIDC token for Workload Identity Federation
When set together with workloadIdentityAudience, the token is exchanged at Google STS for federated credentials and no service account key is needed: Google verifies it against the identity provider that issued it.
Use {{ oidcToken(audience='…') }} to have Kestra Enterprise mint one for the running execution.
Combine with impersonatedServiceAccount to act as a service account the pool may impersonate, and set projectId explicitly since no key file carries it.
Cannot be combined with serviceAccount.
Outputs
jobId string
The launched job ID
jobState string
The job state
