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.. http://www.apache.org/licenses/LICENSE-2.0

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Customizing Workers

Both CeleryExecutor and KubernetesExecutor workers can be highly customized with the :ref:workers parameters <parameters:workers>. For example, to set resources on workers for CeleryExecutor:

.. code-block:: yaml :caption: values.yaml

workers: celery: resources: requests: cpu: 1 limits: cpu: 1

Custom pod_template_file

With KubernetesExecutor you can also provide a complete pod_template_file to fully override default Kubernetes workers configuration. This may be useful if you need different configuration between worker types for KubernetesExecutor or if you need to customize something not possible with :ref:workers parameters <parameters:workers> alone.

.. note::

Configuration options between Celery and Kubernetes workers can be overwritten by workers.celery and workers.kubernetes sections.

As an example, let's say you want to set priorityClassName on your workers:

.. note::

The following example is NOT functional, but meant to be illustrative of how you can provide a custom pod_template_file. You're better off starting with the default pod_template_file_ instead.

.. _pod_template_file: https://github.com/apache/airflow/blob/main/chart/files/pod-template-file.kubernetes-helm-yaml

.. code-block:: yaml :caption: values.yaml

podTemplate: | apiVersion: v1 kind: Pod metadata: name: placeholder-name labels: tier: airflow component: worker release: {{ .Release.Name }} spec: priorityClassName: high-priority containers: - name: base

The same can be achieved with default pod_template_file_ by overriding the priorityClassName option for KubernetesExecutor like:

.. code-block:: yaml :caption: values.yaml

workers: kubernetes: priorityClassName: high-priority