Airflow kubernetes executor config

Airflow kubernetes executor config. 0, Airflow introduced a new executor called KubernetesExecutor to dynamically run tasks on Kubernetes pods. example_kubernetes_executor. This is an example dag for using a Kubernetes Executor Configuration. Now I am trying to deploy Airflow using Kubernetes Executor on Azure Kubernetes Service. In this way, Airlfow is able to run tasks creating Pods on demand Nov 9, 2022 · Configuring Kubernetes Executor . 6. libs. Does someone have an idea on how to do this? 이 글은 지난 NAVER DEVIEW 2020에서 발표했던 Kubernetes를 이용한 효율적인 데이터 엔지니어링 (Airflow on Kubernetes VS Airflow Kubernetes Executor) 세션에서 발표 형식 및 시간 관계상 설명하기 힘들었던 부분을 조금 더 자세하게 설명하고자 작성한 두 번째 글입니다 ( 1부 Feb 24, 2020 · The setting of these limits can be observed by the return of the following command: $ kubectl describe pod <pod name> -n airflow. The Airflow workers are created with Aug 22, 2020 · Once you have this saved YAML file postgres-airflow. executor: Kubernetes. In the default airflow config I found default_cpus but according to this answer there is nowhere that that is used, and nowhere else in the Kubernetes section could I find a reference to the CPU request. cfg . 0, you need to install the cncf. When using Kubernetes Executor, Airflow is running in See the License for the # specific language governing permissions and limitations # under the License. Aug 6, 2020 · or define ENV variable AIRFLOW__KUBERNETES__RUN_AS_USER=<user uid> in config maps work, for example, if your AIRFLOW_HOME path has access to airflow user than. 3-0. This can be done by installing apache-airflow-providers-cncf-kubernetes>=7. Jun 26, 2020 · I am new to Airflow and am thus facing some issues. cfg file, you will find the sqlalchemy_conn setting that is used to determine the database to use. Apr 22, 2020 · In version 1. kube/config) - just leave all fields empty. We integrate Slack alert into Airflow by using SlackWebhookOperator and on_failure_callback. now in my case the uid was 1000; so now my airflow. python import PythonOperator from Use the official Helm chart for updates and configuration, as it is maintained by the Airflow community. Executor Configuration. CeleryExecutor is built for horizontal scaling. Depending on your Kubernetes setup and the nature of the worker pod you are trying to spin up, start up times of 2 minutes are not unheard of. The core part of building a docker image is doing a pip install. Airflow Scheduler for Kubernetes. kubectl config use-context aks-airflow. If you are seeing CPU and memory spikes with your deployment, then do take a read of this thread as it covers some further config changes to lessen the load. The Kubernetes Executor, introduced in Apache Airflow 1. For each task, the executor creates a new pod in the Kubernetes cluster. Reduced stress on Airflow Scheduler due to edge-driven triggers in K8S Watch API. # Licensed to the Apache Software Foundation (ASF) under one# or more contributor license agreements. Jan 21, 2022 · can anyone tell me how to config kuberenetes executor in local airflow deployment. Jan 10, 2014 · Consistent with the regular Airflow architecture, the Workers need access to the DAG files to execute the tasks within those DAGs and interact with the Metadata repository. And at the time no task is processing we wash money at that time. However, I have an issue with logging. The LocalKubernetesExecutor allows users to simultaneously run Executor. The image of the pod is an Airflow base image. After running this, you should be able to run kubectl get pods and see your Postgres POD running. g. In the previous blog post, we configured Airflow to use Kubernetes Executor when running task instances from the DAG, by setting the environment variable of the Airflow Pod to ‘KubernetesExecutor’. helper import print_stuff from airflow. See the License for the # specific language governing permissions and limitations # under the License. At first, the executor choice seemed obvious: let’s use the Kubernetes Executor! All the advantages of For a multi-node setup, you should use the Kubernetes executor or the Celery executor. 0, can run all Airflow tasks on Kubernetes as separate Pods. executors. We also need a script that would run the webserver or scheduler based on the Kubernetes pod or container. """. """ import logging import os from datetime import datetime from airflow import DAG from airflow. stalled_task_timeout, and celery. Use the same configuration across all the Airflow components. By supplying an image URL and a command with optional arguments, the operator uses the Kube Python Client to generate a Kubernetes API request that dynamically launches those individual pods. For example, the metadata database connection string can either be set in airflow. They have a common API and are “pluggable”, meaning you can swap executors based on your installation needs. Feb 16, 2022 · Configuration of the Environment. Jul 3, 2023 · By leveraging the KubernetesPodOperator, Airflow can efficiently manage and execute tasks with demanding resource needs within the Kubernetes cluster. By changing this logic parsing time of DAG get reduced to next level. If a job fails, it will notify Slack and tag the owner to alert them. info ('Kubernetes job is %s ', str (next_job)) key, command, kube_executor_config = next_job dag_id, task_id, execution_date, try_number = key if command [0: 2]!= ["airflow", "run Apr 24, 2016 · The main problem is your sqlite. It is the only executor that can be used with sqlite since sqlite doesn’t support multiple connections. 0 or by installing Airflow with the cncf. task_adoption_timeoutinto a single configuration, scheduler. Jan 10, 2013 · It will then create a unique job-id, launch that job in the cluster, and store relevant info in the current_jobs map so we can track the job's status """ self. yaml and made the following changes in the airflow. I'm trying to set the request_cpu parameter in the Kubernetes executor for Airflow but haven't been able to find where I can do that. 10. az aks get-credentials --name aks-airflow --resource-group MyResourceGroup. Airflow sends simple instructions such as “execute task X of DAG Y”, but does not send any DAG files or configuration. But when I trigger the dags, I get the same errror. However, the logs are not written to GCS. Once you have configured the executor, it is necessary to make sure that every node in the cluster contains the same configuration and DAGs. That means for each task in a dag, there is a separated pod generated in the Kubernetes cluster. Kubernetes Executor Commands. yaml in the source distribution. [core] executor = KubernetesExecutor To check the current executor: $ airflow config get-value core executor Apr 19, 2023 · Airflow 2. kubernetes_executor. 4. """ This is an example dag for using a Kubernetes Executor Configuration. 4 to GCP Kubernetes Engine. kubernetes extras: pip install 'apache-airflow[cncf. Feb 10, 2021 · Airlflow has several ways to support scaling. On completion of the task, the pod gets killed. Configuration: Define worker namespace and image information in the Airflow configuration file. First, we will run the airflow initdb command to set up the Airflow database. When the task's queue is the value of ``kubernetes_queue`` in section ``[local_kubernetes_executor]`` of the configuration (default value: `kubernetes`), KubernetesExecutor is selected to run the task, otherwise, LocalExecutor is used. Aug 31, 2022 · This is the true power of running Airflow on a Kubernetes cluster! To create the ConfigMap, use the same commands as before: kubectl apply -f airflow-configmap. yaml: helm install airflow apache-airflow/airflow --namespace airflow --debug -f values When the task’s queue is the value of kubernetes_queue in section [local_kubernetes_executor] of the configuration (default value: kubernetes), KubernetesExecutor is selected to run the task, otherwise, LocalExecutor is used. python import PythonOperator from Use kube_config that reside in the default location on the machine(~/. It ensures maximum utilization of resources, unlike celery, which at any point must have a minimum number of workers running. Jun 29, 2018 · The Kubernetes Operator has been merged into the 1. @job_id. To customise Airflow’s configuration, we’ll set environment variables that override the file configuration. The KubernetesPodOperator uses the Kubernetes API to launch a pod in a Kubernetes cluster. The difference between Kubernetes executor and the KubernetesPodOperator is that KubernetesPodOperator can run a container as a task, and that container will be run inside a pod on a Kubernetes Also, configuration information specific to the Kubernetes Executor, such as the worker namespace and image information, needs to be specified in the Airflow Configuration file. Fault tolerance as tasks are now isolated in pods Avoids wasted resources Dynamic amount of workers unlike other executors. I used kubectl and managed to deploy it successfully. In contrast, the Kubernetes executor is implemented at the configuration level of the Airflow instance, which means all tasks run in their own Kubernetes Pod. In my config tasks run in dynamically created kubernetes pods, and i have a number of tasks that runs once or twice a day. conf e. To achieve this, we can define the env vars within the Kubernetes object definition or we can also create a ConfigMap and just configure the object to set the env vars from it. 0. The User-Community Airflow Helm Chart is the standard way to deploy Apache Airflow on Kubernetes with Helm. Now we are ready to run Airflow Web Server and scheduler locally. It tries and tries, but to no avail. The worker and operator pods all run fine, but Airflow has trouble adopting the status. 10 RUN pip install 'apache-airflow[kubernetes]'. Additionally, the Kubernetes Executor enables specification of additional features on a per-task basis using the Executor config. Use in_cluster config, if Airflow runs inside Kubernetes cluster take the configuration from the cluster - mark: In cluster configuration. It will then create a unique job-id, launch that job in the cluster, and store relevant info in the current_jobs map so we can track the job's status. ## Licensed to the Apache Software Foundation (ASF) under one# or more contributor license agreements. Airflow Parallelism: Core Settings; Airflow Parallelism: Configuration of the Scheduler; Scaling and Executors. Jun 28, 2019 · Assuming you have a Kubernetes cluster called aks-airflow you can use the azure CLI or kubectl. Jan 10, 2014 · Bases: airflow. The Kubernetes executor in Airflow provides several benefits over the other executors. Apr 28, 2023 · What's the easiest/best way to get the code of my DAG onto an instance of airflow that's running on kubernetes (setup via helm)? I see in the airflow-airflow-config ConfigMap that dags_folder = /opt/airflow/dags is defined. The ASF Also, configuration information specific to the Kubernetes Executor, such as the worker namespace and image information, needs to be specified in the Airflow Configuration file. 3. Define Airflow Docker Image: Under the image section in values. Aug 2, 2023 · An executor in Apache Airflow is a component that is responsible for running tasks. 1. 'owner': 'airflow', 'start_date': airflow. I am working on Airflow, and have successfully deployed it on Celery Executor on AKS. Kubernetes Executor Benefits. It chooses the executor to use based on the queue defined on the task. my understanding is the render is only done after pod start because when I look at the rendered task from the dashboard, it is fine, but the mounted directory is not rendered. phase:'Completed' pods. Kubernetes manages the resources, so it can ensure that the tasks have access to the resources they This is a step-by-step guide on how to run Apache airflow with Kubernetes Executors on a multinode kubernetes cluster. yaml, and have your kubectl connected to your Kubernetes cluster, run this command to deploy the Postgres instance. As of Airflow 2. So it wouldn’t be different in the case of Airflow. kubernetes]'. If you look at the airflow. Airflow Performance Tuning by managing the Celery Worker Queue & Slots Aug 7, 2019 · There is an option of mounting volumeMount for dags and logs under kubernetes section of airflow. Deletes POD. The run_next command will check the task_queue for any un-run jobs. docker-desktop I currently have just kind-airflow-cluster which is the current context. yaml or None:param kube_config: The KubeConfig 이 글은 지난 NAVER DEVIEW 2020에서 발표했던 Kubernetes를 이용한 효율적인 데이터 엔지니어링 (Airflow on Kubernetes VS Airflow Kubernetes Executor) 세션에서 발표 형식 및 시간 관계상 설명하기 힘들었던 부분을 조금 더 자세하게 설명하고자 작성한 두 번째 글입니다 ( 1부 Also, configuration information specific to the Kubernetes Executor, such as the worker namespace and image information, needs to be specified in the Airflow Configuration file. Kubernetes Executor. Originally created in 2017, it has since helped thousands of companies create production- Oct 10, 2019 · I’m running airflow on Kubernetes and using “Kubernetes Operator”. The KubernetesPodOperator defines one isolated Airflow task. Use kube_config from different location - insert the path into Kube config path Jan 10, 2014 · Consistent with the regular Airflow architecture, the Workers need access to the DAG files to execute the tasks within those DAGs and interact with the Metadata repository. The Parameters reference section lists the As of Airflow 2. Usage: airflow [-h] GROUP_OR_COMMAND Configuration Reference. Local executors run tasks on the same machine as the scheduler. 10 release branch of Airflow (the executor in experimental mode), along with a fully k8s native scheduler called the Kubernetes Executor. I’m not sure how this can be fixed yet, but a temporary workaround would be to use the old Apr 12, 2020 · ConfigMap: environment variables. In this video we will;1. For a multi-node setup, you should use the Kubernetes executor or the Celery executor. def get_base_pod_from_template (pod_template_file: Optional [str], kube_config: Any)-> k8s. Bases: airflow. airflow. 4 executor = KubernetesExecutor GKE = 1. task_queued_timeout and solves Celery Executor. Executors are the mechanism by which task instances get run. for example: Mar 10, 2020 · Now let’s run Airflow. operators. 15 how to set Request and Limit CPU/Memory from DAG file ? def get_base_pod_from_template (pod_template_file: Optional [str], kube_config: Any)-> k8s. Scheduler adds a message to the queue and the Celery broker delivers it to a Celery worker. setter def job_id(self Each executor has its own configuration settings and operational nuances. Module code. celery_executor. run a multi-n Nov 26, 2019 · executor_config is not in the template_fields. For instance, the KubernetesExecutor requires a non-sqlite database and specific Kubernetes configurations in the Airflow settings. respectively. While Airflow offers a custom executor that The KubernetesExecutor in Apache Airflow allows each task to run in its own Kubernetes pod, which is created upon task queuing and terminates upon completion. Jul 9, 2019 · 0. org. These tasks are added to a queue. The command deploys Airflow on the Kubernetes cluster in the default configuration. See the NOTICE file# distributed with this work for additional information# regarding copyright ownership. worker_pods_pending_timeout, celery. These Apr 3, 2022 · I successfully deployed Airflow 2. Building the Docker Image def get_base_pod_from_template (pod_template_file: Optional [str], kube_config: Any)-> k8s. The volumes are optional and depend on your configuration. kubectl apply -f postgres-airflow. Task Isolation: Each task runs in its own Kubernetes pod, providing isolation and efficient resource utilization. . """ import logging import os from airflow import DAG from airflow. Users can specify a kubeconfig file using the config_file To install this chart using Helm 3, run the following commands: helm repo add apache-airflow https://airflow. 0 look at the core Airflow documentation for the list of CLI commands and parameters available. The CLI commands below are used from provider by Airflow 2. Also, configuration information specific to the Kubernetes Executor, such as the worker namespace and image information, needs to be specified in the Airflow Configuration file. cfg to craft a "base pod" that will be used by the KubernetesExecutor:param pod_template_file: absolute path to a pod_template_file. The Kubernetes executor picks up tasks from the queue. Loading these for each task adds 0. need to add below entry. Feb 22, 2023 · Once the connection is configured, you can specify the Kubernetes executor in the Airflow configuration file. default_args = {. RUN pip install --upgrade pip RUN pip install apache-airflow==1. Taks itself is python operators that runs some ETL routine, dag files is syncing via separate pod with git repo inside. cfg like this: or by creating a corresponding environment variable: Note We would like to show you a description here but the site won’t allow us. So the, thing is, I defined a connection ID using the Airflow UI and the connection ID works for tasks as they are executed successfully on each run. Note. Airflow can only have one executor configured at a time; this is set by the executor option in the [core] section of the configuration file. kubernetes provider package to use this executor. Apache Airflow is an open-source Batch-Oriented pipeline-building framework for developing and monitoring def get_base_pod_from_template (pod_template_file: Optional [str], kube_config: Any)-> k8s. yaml. The first task is an @task decorate task that returns a Python dict that includes the location for a file that holds the data for The kubernetes executor is introduced in Apache Airflow 1. Preload some “expensive” airflow modules so that every task process doesn’t have to import it again and again. I created a kind cluster named airflow-cluster and created the pod_template. docker-desktop and kubectl config unset clusters. Utilize the #troubleshooting channel on Airflow Slack and the GitHub discussions for Apr 3, 2022 · Hi, im use airflow helm with version CHART VERSION = 1. I am using the official helm chart. I ran kubectl config unset contexts. All the pods are running in the airflow-build Kubernetes namespace. This is the simplest type of executor, but it is not scalable. The Airflow scheduler reads the DAGs and identifies tasks that are ready to be executed. 4. Note that the latter one only works if you’ve invoked the former command at least once. 0 or by installing Airflow with the celery extra: pip install 'apache-airflow[celery]'. example_dags. python Apache Airflow - A platform to programmatically author, schedule, and monitor workflows - apache/airflow Dec 4, 2023 · Figure 4: Top Level Python Code Fix & Code Restructure. [kubernetes] airflow_configmap = airflow_config worker_container_repository = airflow Mar 23, 2021 · The Executor starts Worker Pods, which in turn start Pods with our data-transformation logic. I am using the helm chart provided by tekn0ir for the purpose with some modifications to it. One of the ways is using their Kubernetes Executor that was introduced in Apache Airflow 1. It will then create a unique job-id, launch that job in the cluster, and store relevant info in the current_jobs map so we can track the job’s status. Remote executors run tasks on remote machines. The Kubernetes executor spins up a new pod for each task, which includes the startup time for Airflow's worker process. utils. yaml -n airflow More details about the created ConfigMap can also be obtained by using the describe command, as shown below: kubectl describe configmap airflow-config The KubernetesPodOperator requires a Docker image to be specified, while the Kubernetes executor doesn't. apache. Sep 28, 2021 · Using Kubernetes for Airflow . For the Kubernetes Executor, define resource requirements and limits for each task using the executor config. 7. 0, you need to install the celery provider package to use this executor. or. Previously they were part of the core Airflow, so if you are using Airflow below 2. Example helm charts are available at scripts/ci/kubernetes/kube/ {airflow,volumes,postgres}. – Mar 21, 2023 · Figure 3: Basic Airflow DAG that uses the decorated KPO. This, however, is not enough for Airflow to leverage Kubernetes Executor when there is a big demand for Feb 6, 2024 · Here we run everything in Kubernetes. But unlike in the local environment, it doesn't pick up the DAGs I add to the folder (via kubectl cp). configuration import conf from airflow. cfg file or using environment variables. May 18, 2022 · Here we use helm to install Airflow from the official chart using the configuration that we have in values. CeleryExecutor is one of the ways you can scale out the number of workers. logging_mixin. 2. When I run BashOperator or PythonOperator it works fine Using: executor_config = { "KubernetesExecutor": { "image": "image_with_airflow_and_my_code:latest" } } When I try run run dag with KubernetesPodOperator it fails. During that startup time, the task will be in the "queued" state. days_ago(2), 'retries': 0, Aug 3, 2022 · I ran kubectl config view and saw that I have 2 configs. 20. 0 APP VERSION = 2. The task is executed in the newly created pod. Sends task to executor. The pod will run your task, PythonOperator, BashOperator, etc. Jan 9, 2021 · I have a strange behaviour of Airflow with Kubernetes executor. V1Pod) check right at the top (that should cover this executor_config value), this means the (de-)serialisation process could be causing the issue, or the V1Pod import may have changed during the process. This can be done by installing apache-airflow-providers-celery>=3. identify the user uid by running this command id -u airflow. Feb 28, 2021 · Airflow with Kubernetes On scheduling a task with airflow Kubernetes executor, the scheduler spins up a pod and runs the tasks. yaml or None:param kube_config: The KubeConfig Aug 27, 2022 · Since there’s an isinstance(k8s_object, k8s. Dec 20, 2020 · Airflow job notifications are handle by SlackHook. Package manager for Kubernetes Deploy and manage multiple manifests as one unit Module code ». The Kubernetes executor runs each task instance in its own pod on a Kubernetes cluster. yaml or None:param kube_config: The KubeConfig Apr 4, 2022 · What is Kubernetes Executor. cfg would have this config run_as_user = 1000 Mar 31, 2023 · 1. Executor Config: Customize task execution by specifying additional features using the Kubernetes Executor config. log. contrib. log. As document on Sequential Executor said:. decorators import task from I have a strange behaviour of Airflow with Kubernetes executor. 5s per task before the task can run. You can redirect it to your configuration file and edit it: You can also set options with environment variables by using this format: AIRFLOW__{SECTION}__{KEY} (note the double underscores). It has pods for May 10, 2020 · Modify the Airflow Configuration file to enable git-sync. Deploy Airflow with Helm. We have fixed resources to run Celery Worker, if there are many task processing at the same time we definitely have issue with resource. Step 3. yaml or None:param kube_config: The KubeConfig See the License for the # specific language governing permissions and limitations # under the License. This page contains the list of all the available Airflow configurations that you can set in airflow. Building the Docker Image. We would like to show you a description here but the site won’t allow us. 0+. Ask for Help. $ airflow initdb. First, it allows for better resource management. helm upgrade --install airflow apache-airflow/airflow --namespace airflow --create-namespace. The Kubernetes executor will create a new pod for every task instance. LoggingMixin. There are two types of executors: local executors and remote executors. Celery Executor; Kubernetes Executor; Conclusion; Introduction to Apache Airflow Image Source. While each component does not require all, some configurations need to be same otherwise they would not work as expected. The SequentialExecutor is the default executor when you first install airflow. V1Pod: """ Reads either the pod_template_file set in the executor_config or the base pod_template_file set in the airflow. This contrasts with the CeleryExecutor, where tasks run in pre-existing worker pods, potentially leading to resource underutilization during off-peak times. on_celery_import_modules(*args, **kwargs)[source] ¶. Therefore, I created a new operator which include executor_config. dates. 0 deprecates kubernetes. Source code for airflow. sb ne ua nv pd ao ey fk ld ec