Import os import logging from flask_appbuilder. After user successfully login to airflow, the landing page will have "Access is denied".
#Airflow 2.0 login how to
How to reproduce it: Airflow 2.0.1 Integrate with Okta OIDC, login to airflow console. What you expected to happen: User login successful without alert The alert is just a false alarm and it only appears at user login. I've checked the user table and role table, both looks right to me and user should have admin privilege.
#Airflow 2.0 login registration
Self registration is enabled, all users have admin privileges. Even though the alert says access is denied, but the user can do everything. If you refresh the page, the Alert will disappear.
On the airflow home page, there is an alert "Access is denied". Once user successful login to Okta, it will redirect back to airflow. When user login to Airflow console, user will be redirected to Okta login. We have integrated airflow 2 with Okta OIDC authentication/authorization using flask-oidc and fab-oidc2. Others: using official docker image apache/airflow:2.0.1-python3.7, flask-oidc, fab-oidc2.from /etc/os-release): Centos inside docker Cloud provider or hardware configuration: EKS 1.19, RDS Postrgres DB.If your URLs aren't being generated correctly (usually they'll start with instead of the correct hostname), you may need to set the webserver base_url config.Kubernetes version (if you are using kubernetes) (use kubectl version): 1.19Įnvironment: Kubernetes Executor, Okta OIDC Like in ingestion, we support a Datahub REST hook and a Kafka-based hook. In order to use this example, you must first configure the Datahub hook. lineage_emission_dag.py - emits lineage using the DatahubEmitterOperator.Note that configuration issues will still throw exceptions.Įmitting lineage via a separate operator graceful_exceptions (defaults to true): If set to true, most runtime errors in the lineage backend will be suppressed and will not cause the overall task to fail.capture_executions (defaults to false): If true, it captures task runs as DataHub DataProcessInstances.capture_tags_info (defaults to true): If true, the tags field of the DAG will be captured as DataHub tags.capture_ownership_info (defaults to true): If true, the owners field of the DAG will be capture as a DataHub corpuser.cluster (defaults to "prod"): The "cluster" to associate Airflow DAGs and tasks with.datahub_conn_id (required): Usually datahub_rest_default or datahub_kafka_default, depending on what you named the connection in step 1.In the task logs, you should see Datahub related log messages like: Go and check in Airflow at Admin -> Plugins menu if you can see the DataHub plugin.Learn more about Airflow lineage, including shorthand notation and some automation. For reference, look at the sample DAG in lineage_backend_demo.py, or reference lineage_backend_taskflow_demo.py if you're using the TaskFlow API. Note that configuration issues will still throw exceptions.Ĭonfigure inlets and outlets for your Airflow operators. If set to true, most runtime errors in the lineage backend will be suppressed and will not cause the overall task to fail. If true, the tags field of the DAG will be captured as DataHub tags. If true, the owners field of the DAG will be capture as a DataHub corpuser. The name of the datahub connection you set in step 1. Add your datahub_conn_id and/or cluster to your airflow.cfg file if it is not align with the default values.
0 kommentar(er)
