#Airflow kubernetes pod operator example how to
#Airflow kubernetes pod operator example install
#Airflow kubernetes pod operator example full

#Airflow kubernetes pod operator example full

Having full control over how much compute resources and memory a single task can use.

#Airflow kubernetes pod operator example how to

This guide includes an example of how to run a Haskell script with the KubernetesPodOperator. Running a task in a language other than Python.The KubernetesPodOperator runs any Docker image provided to it. By default, microk8s runs pods in the default namespace. Run microk8s.kubectl get pods -n $namespace or microk8s.kubectl logs -n $namespace to examine the logs for the pod that just ran. In_cluster = in_cluster, # if set to true, will look in the cluster, if false, looks for fileĬluster_context = 'docker-desktop', # is ignored when in_cluster is set to True # environment namespace when deployed to Astronomer.Ĭonfig_file = '/usr/local/airflow/include/.kube/config'ĭag_id = 'example_kubernetes_pod', schedule =, default_args = default_args # This will detect the default namespace locally and read the 'retry_delay' : duration ( minutes = 5 ) , See Getting Started With the Official Airflow Helm Chart. Alternatively, you can use the Helm Chart for Apache Airflow to run open source Airflow within a local Kubernetes cluster. Use the steps below to quickly set up a local environment for the KubernetesPodOperator using the Astro CLI. Setting up your local environment to use the KubernetesPodOperator can help you avoid time consuming deployments to remote environments. For more information, see Run the KubernetesPodOperator on Astro. On Astro, the infrastructure needed to run the KubernetesPodOperator with the Celery executor is included with all clusters by default. You can choose one of the following executors: You don't need to use the Kubernetes executor to use the KubernetesPodOperator. This is commonly the same cluster that Airflow is running on, but it doesn't have to be.

You also need an existing Kubernetes cluster to connect to.

#Airflow kubernetes pod operator example install

Review the Airflow Kubernetes provider Documentation to make sure you install the correct version of the provider package for your version of Airflow. To use the KubernetesPodOperator you need to install the Kubernetes provider package. To get the most out of this guide, you should have an understanding of: You'll also learn how to use the KubernetesPodOperator to run a task in a language other than Python, how to use the KubernetesPodOperator with XComs, and how to launch a Pod in a remote AWS EKS Cluster.įor more information about running the KubernetesPodOperator on a hosted cloud, see Run the KubernetesPodOperator on Astro Assumed knowledge The differences between the KubernetesPodOperator and the Kubernetes executor.How to configure the KubernetesPodOperator.The requirements for running the KubernetesPodOperator.By abstracting calls to the Kubernetes API, the KubernetesPodOperator lets you start and run Pods from Airflow using DAG code. The KubernetesPodOperator (KPO) runs a Docker image in a dedicated Kubernetes Pod.