V1PodAffinity ( required_during_scheduling_ignored_during_execution = ), topology_key = ". V1NodeAffinity ( preferred_during_scheduling_ignored_during_execution = ) ] ), ) ] ), pod_affinity = k8s. Apache Airflow aims to be a very Kubernetes-friendly project, and many users run Airflow from within a Kubernetes cluster in order to take advantage of the increased stability and autoscaling options that Kubernetes provides. I’ll demonstrate it on Ubuntu Server 22.04. Before you install kind on your operating system of choice, you will need to have both Docker and Go installed. I’ll demonstrate how to install kind on all three platforms. V1Container ( name = "init-container", image = "ubuntu:16.04", env = init_environments, volume_mounts = init_container_volume_mounts, command =, args =, ) affinity = k8s. 2 days ago &0183 &32 What You’ll Need You can install kind on Linux, macOS, and Windows. V1ContainerPort ( name = "http", container_port = 80 ) init_container_volume_mounts = init_environments = init_container = k8s. V1PersistentVolumeClaimVolumeSource ( claim_name = "test-volume" ), ) port = k8s. V1Volume ( name = "test-volume", persistent_volume_claim = k8s. V1VolumeMount ( name = "test-volume", mount_path = "/root/mount_file", sub_path = None, read_only = True ) configmaps = volume = k8s. To stop a worker running on a machine you can use: airflow celery stop. Secret_file = Secret ( "volume", "/etc/sql_conn", "airflow-secrets", "sql_alchemy_conn" ) secret_env = Secret ( "env", "SQL_CONN", "airflow-secrets", "sql_alchemy_conn" ) secret_all_keys = Secret ( "env", None, "airflow-secrets-2" ) volume_mount = k8s. Your worker should start picking up tasks as soon as they get fired in its direction.
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