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.. _deployment-agent-setup-databricks: | ||
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Databricks Agent | ||
================= | ||
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This guide provides an overview of how to set up Databricks agent in your Flyte deployment. | ||
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Spin up a cluster | ||
----------------- | ||
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.. tabs:: | ||
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.. group-tab:: Flyte binary | ||
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You can spin up a demo cluster using the following command: | ||
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.. code-block:: bash | ||
flytectl demo start | ||
Or install Flyte using the :ref:`flyte-binary helm chart <deployment-deployment-cloud-simple>`. | ||
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.. group-tab:: Flyte core | ||
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If you've installed Flyte using the | ||
`flyte-core helm chart <https://github.com/flyteorg/flyte/tree/master/charts/flyte-core>`__, please ensure: | ||
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* You have the correct kubeconfig and have selected the correct Kubernetes context. | ||
* You have configured the correct flytectl settings in ``~/.flyte/config.yaml``. | ||
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.. note:: | ||
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Add the Flyte chart repo to Helm if you're installing via the Helm charts. | ||
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.. code-block:: bash | ||
helm repo add flyteorg https://flyteorg.github.io/flyte | ||
Databricks workspace | ||
-------------------- | ||
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To set up your Databricks account, follow these steps: | ||
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1. Create a `Databricks account <https://www.databricks.com/>`__. | ||
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.. image:: https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/deployment/plugins/databricks/databricks_workspace.png | ||
:alt: A screenshot of Databricks workspace creation. | ||
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2. Ensure that you have a Databricks workspace up and running. | ||
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.. image:: https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/deployment/plugins/databricks/open_workspace.png | ||
:alt: A screenshot of Databricks workspace. | ||
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3. Generate a `personal access token | ||
<https://docs.databricks.com/dev-tools/auth.html#databricks-personal-ACCESS_TOKEN-authentication>`__ to be used in the Flyte configuration. | ||
You can find the personal access token in the user settings within the workspace. ``User settings`` -> ``Developer`` -> ``Access tokens`` | ||
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.. image:: https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/deployment/plugins/databricks/databricks_access_token.png | ||
:alt: A screenshot of access token. | ||
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4. Enable custom containers on your Databricks cluster before you trigger the workflow. | ||
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.. code-block:: bash | ||
curl -X PATCH -n -H "Authorization: Bearer <your-personal-access-token>" \ | ||
https://<databricks-instance>/api/2.0/workspace-conf \ | ||
-d '{"enableDcs": "true"}' | ||
For more detail, check `custom containers <https://docs.databricks.com/administration-guide/clusters/container-services.html>`__. | ||
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5. Create an `instance profile | ||
<https://docs.databricks.com/administration-guide/cloud-configurations/aws/instance-profiles.html>`__ | ||
for the Spark cluster. This profile enables the Spark job to access your data in the S3 bucket. | ||
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Create an instance profile using the AWS console (For AWS Users) | ||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
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1. In the AWS console, go to the IAM service. | ||
2. Click the Roles tab in the sidebar. | ||
3. Click Create role. | ||
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a. Under Trusted entity type, select AWS service. | ||
b. Under Use case, select **EC2**. | ||
c. Click Next. | ||
d. At the bottom of the page, click Next. | ||
e. In the Role name field, type a role name. | ||
f. Click Create role. | ||
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4. In the role list, click the **AmazonS3FullAccess** role. | ||
5. Click Create role button. | ||
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In the role summary, copy the Role ARN. | ||
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.. image:: https://raw.githubusercontent.com/flyteorg/static-resources/main/flyte/deployment/plugins/databricks/s3_arn.png | ||
:alt: A screenshot of s3 arn. | ||
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Locate the IAM role that created the Databricks deployment | ||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
If you don’t know which IAM role created the Databricks deployment, do the following: | ||
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1. As an account admin, log in to the account console. | ||
2. Go to ``Workspaces`` and click your workspace name. | ||
3. In the Credentials box, note the role name at the end of the Role ARN | ||
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For example, in the Role ARN ``arn:aws:iam::123456789123:role/finance-prod``, the role name is finance-prod | ||
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Edit the IAM role that created the Databricks deployment | ||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
1. In the AWS console, go to the IAM service. | ||
2. Click the Roles tab in the sidebar. | ||
3. Click the role that created the Databricks deployment. | ||
4. On the Permissions tab, click the policy. | ||
5. Click Edit Policy. | ||
6. Append the following block to the end of the Statement array. Ensure that you don’t overwrite any of the existing policy. Replace <iam-role-for-s3-access> with the role you created in Configure S3 access with instance profiles. | ||
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.. code-block:: bash | ||
{ | ||
"Effect": "Allow", | ||
"Action": "iam:PassRole", | ||
"Resource": "arn:aws:iam::<aws-account-id-databricks>:role/<iam-role-for-s3-access>" | ||
} | ||
Specify agent configuration | ||
---------------------------- | ||
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.. tabs:: | ||
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.. group-tab:: Flyte binary | ||
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.. tabs:: | ||
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.. group-tab:: Demo cluster | ||
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Enable the Databricks agent on the demo cluster by updating the ConfigMap: | ||
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.. code-block:: bash | ||
kubectl edit configmap flyte-sandbox-config -n flyte | ||
.. code-block:: yaml | ||
:emphasize-lines: 7,12,16 | ||
tasks: | ||
task-plugins: | ||
default-for-task-types: | ||
container: container | ||
container_array: k8s-array | ||
sidecar: sidecar | ||
spark: agent-service | ||
enabled-plugins: | ||
- container | ||
- sidecar | ||
- k8s-array | ||
- agent-service | ||
plugins: | ||
agent-service: | ||
supportedTaskTypes: | ||
- spark | ||
.. group-tab:: Helm chart | ||
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Edit the relevant YAML file to specify the plugin. | ||
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.. code-block:: yaml | ||
:emphasize-lines: 7,11,15 | ||
tasks: | ||
task-plugins: | ||
enabled-plugins: | ||
- container | ||
- sidecar | ||
- k8s-array | ||
- agent-service | ||
default-for-task-types: | ||
- container: container | ||
- container_array: k8s-array | ||
- spark: agent-service | ||
plugins: | ||
agent-service: | ||
supportedTaskTypes: | ||
- spark | ||
.. group-tab:: Flyte core | ||
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Create a file named ``values-override.yaml`` and add the following config to it: | ||
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.. code-block:: yaml | ||
:emphasize-lines: 9,14-17 | ||
enabled_plugins: | ||
tasks: | ||
task-plugins: | ||
enabled-plugins: | ||
- container | ||
- sidecar | ||
- k8s-array | ||
- agent-service | ||
default-for-task-types: | ||
container: container | ||
sidecar: sidecar | ||
container_array: k8s-array | ||
spark: agent-service | ||
plugins: | ||
agent-service: | ||
supportedTaskTypes: | ||
- spark | ||
Add the Databricks access token | ||
------------------------------- | ||
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You have to set the Databricks token to the Flyte configuration. | ||
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1. Install flyteagent pod using helm | ||
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.. code-block:: | ||
helm repo add flyteorg https://flyteorg.github.io/flyte | ||
helm install flyteagent flyteorg/flyteagent --namespace flyte | ||
2. Get the base64 value of your Databricks token. | ||
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.. code-block:: | ||
echo -n "<DATABRICKS_TOKEN>" | base64 | ||
3. Edit the flyteagent secret | ||
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.. code-block:: bash | ||
kubectl edit secret flyteagent -n flyte | ||
.. code-block:: yaml | ||
:emphasize-lines: 3 | ||
apiVersion: v1 | ||
data: | ||
flyte_databricks_access_token: <BASE64_ENCODED_DATABRICKS_TOKEN> | ||
kind: Secret | ||
metadata: | ||
annotations: | ||
meta.helm.sh/release-name: flyteagent | ||
meta.helm.sh/release-namespace: flyte | ||
creationTimestamp: "2023-10-04T04:09:03Z" | ||
labels: | ||
app.kubernetes.io/managed-by: Helm | ||
name: flyteagent | ||
namespace: flyte | ||
resourceVersion: "753" | ||
uid: 5ac1e1b6-2a4c-4e26-9001-d4ba72c39e54 | ||
type: Opaque | ||
Upgrade the deployment | ||
---------------------- | ||
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.. tabs:: | ||
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.. group-tab:: Flyte binary | ||
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.. tabs:: | ||
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.. group-tab:: Demo cluster | ||
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.. code-block:: | ||
kubectl rollout restart deployment flyte-sandbox -n flyte | ||
.. group-tab:: Helm chart | ||
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.. code-block:: | ||
helm upgrade <RELEASE_NAME> flyteorg/flyte-binary -n <YOUR_NAMESPACE> --values <YOUR_YAML_FILE> | ||
Replace ``<RELEASE_NAME>`` with the name of your release (e.g., ``flyte-backend``), | ||
``<YOUR_NAMESPACE>`` with the name of your namespace (e.g., ``flyte``), | ||
and ``<YOUR_YAML_FILE>`` with the name of your YAML file. | ||
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.. group-tab:: Flyte core | ||
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.. code-block:: | ||
helm upgrade <RELEASE_NAME> flyte/flyte-core -n <YOUR_NAMESPACE> --values values-override.yaml | ||
Replace ``<RELEASE_NAME>`` with the name of your release (e.g., ``flyte``) | ||
and ``<YOUR_NAMESPACE>`` with the name of your namespace (e.g., ``flyte``). | ||
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Wait for the upgrade to complete. You can check the status of the deployment pods by running the following command: | ||
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.. code-block:: | ||
kubectl get pods -n flyte | ||
For databricks plugin on the Flyte cluster, please refer to `Databricks Plugin Example <https://docs.flyte.org/en/latest/flytesnacks/examples/databricks_plugin/index.html>`_ |
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