- #Airflow docker image for kubernetes how to
- #Airflow docker image for kubernetes software
- #Airflow docker image for kubernetes code
Numerous providers are not included by default and need to be installed.īelow is an example of how to extend the default container image.
Indeed, Airflow comes out of the box with several providers (also called operators) which makes integration with third-party tools possible (essentially Airflow triggers jobs from various applications). That said, if Airflow and SAS Viya share the same DAGs directory, it is possible to define an Airflow DAG from within SAS Viya that is automatically discovered in Airflow facilitating the integration.įirst step is to extend the default Airflow container image to include the pieces that will allow us to call SAS Viya jobs or flows. No authoring UI is available out of the box.Īlso, Airflow DAGs (Python scripts) are automatically discovered by the Airflow framework when they are saved in a determined DAGs directory. If dedicated to SAS Viya, Airflow workload should only consist into calls of SAS jobs and SAS Studio flows which in turn run in the SAS Viya platform.įinally, to be able to use the SAS operators in Airflow, the default container image used in the Airflow Helm chart needs to be extended to include SAS Airflow Provider.įirst, let’s remind that what we would probably call a process flow (a collection of tasks/programs/jobs organized in a specific sequence) is called a DAG (Directed Acyclic Graph) in Airflow and is defined in a Python script.
#Airflow docker image for kubernetes software
An Official Helm Chart for Apache Airflow is available to deploy it in Kubernetes very easily.Īirflow can be deployed in the same Kubernetes cluster as SAS Viya, leveraging the same infrastructure, in a different namespace for software isolation. While it is not mandatory for Airflow to work with SAS Viya, Airflow can be deployed in Kubernetes which makes it flexible, cloud-native and elastic. In this blog, we will look at some aspects of Apache Airflow deployment that can help you leverage a seamless integration between SAS Viya and Apache Airflow. If not, then it might be the opportunity to think it twice and make SAS Viya and Apache Airflow work hand in hand.
Mobile users: To view the images, select the "Full" version at the bottom of the page.Īpache Airflow can be deployed in many ways and might already exist at your site. Select any image to see a larger version. This tool allows SAS administrators/power users to orchestrate SAS jobs and SAS Studio flows using Apache Airflow, an “ open-source platform for developing, scheduling, and monitoring batch-oriented workflows”. I tried to pass in my service-account JSON file by storing the JSON under variable in Airflow UI ( env_vars=), but still could not push the image.SAS has released SAS Airflow Provider earlier this year. # the image I pass in here has docker installed in it which allows me to run docker commands # push_to_gcr.py is a python script that tries to push the image to GCR using subprocess library
#Airflow docker image for kubernetes code
Here is the code that I use: KubernetesPodOperator( My hypothesis is that the default service-account that kubernetes pod operator uses does not have the permission to push images to GCR. To authenticate your request, follow the steps in: \n I am trying to push an image to GCR using KubernetesPodOperator but I keep getting this error: unauthorized: You don't have the needed permissions to perform this operation, and you may have invalid credentials.
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