Checks the metrics of a job in Google Cloud Dataflow.

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Last Updated: Jan. 23, 2023

Access Instructions

Install the Google provider package into your Airflow environment.

Import the module into your DAG file and instantiate it with your desired params.


job_idRequiredID of the job to be checked.
callbackRequiredcallback which is called with list of read job metrics See:
fail_on_terminal_stateIf set to true sensor will raise Exception when job is in terminal state
project_idOptional, the Google Cloud project ID in which to start a job. If set to None or missing, the default project_id from the Google Cloud connection is used.
locationThe location of the Dataflow job (for example europe-west1). See:
gcp_conn_idThe connection ID to use connecting to Google Cloud.
delegate_toThe account to impersonate using domain-wide delegation of authority, if any. For this to work, the service account making the request must have domain-wide delegation enabled.
impersonation_chainOptional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).


Checks the metrics of a job in Google Cloud Dataflow.

See also

For more information on how to use this operator, take a look at the guide: Sensors

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