docs-archive/helm-chart/1.0.0/_sources/quick-start.rst.txt

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Quick start with kind
=====================

This article will show you how to install Airflow using Helm Chart on `Kind <https://kind.sigs.k8s.io/>`__

Install kind, and create a cluster
----------------------------------

We recommend testing with Kubernetes 1.16+, example:

.. code-block:: bash

   kind create cluster --image kindest/node:v1.18.15

Confirm it’s up:

.. code-block:: bash

   kubectl cluster-info --context kind-kind

Add Airflow Helm Stable Repo
----------------------------

.. code-block:: bash

   helm repo add apache-airflow https://airflow.apache.org
   helm repo update

Create namespace and Install the chart
--------------------------------------

.. code-block:: bash

  export RELEASE_NAME=example-release
  export NAMESPACE=example-namespace

  kubectl create namespace $NAMESPACE
  helm install $RELEASE_NAME apache-airflow/airflow --namespace $NAMESPACE

It may take a few minutes. Confirm the pods are up:

.. code-block:: bash

   kubectl get pods --namespace $NAMESPACE
   helm list --namespace $NAMESPACE

Run ``kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow``
to port-forward the Airflow UI to http://localhost:8080/ to confirm
Airflow is working.

Build a Docker image from your DAGs
-----------------------------------

1. Create a project

    .. code-block:: bash

        mkdir my-airflow-project && cd my-airflow-project
        mkdir dags  # put dags here
        cat <<EOM > Dockerfile
        FROM apache/airflow
        COPY . .
        EOM


2. Then build the image:

    .. code-block:: bash

        docker build -t my-dags:0.0.1 .


3. Load the image into kind:

    .. code-block:: bash

      kind load docker-image my-dags:0.0.1

4. Upgrade Helm deployment:

    .. code-block:: bash

      helm upgrade $RELEASE_NAME apache-airflow/airflow --namespace $NAMESPACE \
          --set images.airflow.repository=my-dags \
          --set images.airflow.tag=0.0.1