Configuring Feature Store

Procedure

1. In the OpenShift console, click Operators → Installed Operators.
2. Click the Red Hat OpenShift AI Operator.
3. Click the Data Science Cluster tab.
4. Click the default instance name (for example, default-dsc) to open the instance details page.
5. Click the YAML tab.

6. Edit the spec:components section. For the feastoperator component, set the managementState field to Managed:

   spec:
     components:
       feastoperator:
         managementState: Managed

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7. Click Save.

1. Click Workloads → Deployments.
2. From the Project list, select redhat-ods-applications.
3. Search for the feast-operator-controller-manager deployment.
4. Click the feast-operator-controller-manager deployment name to open the deployment details page.
5. Click the Pods tab.
6. View the pod status.

Procedure

1. In the OpenShift console, click the Quick Create ( ) icon and then click the Import YAML option.
2. Verify that your data science project is the selected project.

3. Copy the following code and paste it into the YAML editor:

   apiVersion: feast.dev/v1alpha1
   kind: FeatureStore
   metadata:
     name: sample
   spec:
     feastProject: my_feast_project

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4. Optionally, change the metadata.name for the feature store instance.
5. Optionally, edit the name of the feature project that you want to use for organizing your Feature Store code.
6. Click Create.

Verification

1. In the OpenShift console, select Workloads → Pods.
2. Make sure that your data science project (for example, my-ds-project) is selected.
3. Click the feast pod and then select Pod details.
4. Scroll down to see the online container. This container is the deployment for the online server. It makes the feature server REST API available in the OpenShift cluster.
5. Scroll up and then click Terminal.

6. To view the files for the feature store project, enter the following command:

   $ ls -la

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   You should see output similar to the following:

   .
   ..
   data
   example_repo.py
   feature_store.yaml
   __init__.py
   __pycache__
   test_workflow.py

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7. To view the feature_store.yaml configuration file, enter the following command:

   $ cat feature_store.yaml

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   You should see output similar to the following:

   project: my_feast_project
   provider: local
   online_store:
   	path: /feast-data/online_store.db
   	type: sqlite
   registry:
   	path: /feast-data/registry.db
   	registry_type: file
   auth:
   	type: no_auth
   entity_key_serialization_version: 3

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   NOTE: Although the offline_store service is not shown in the feature_store.yaml file, the feature store instance uses a DASK file-based offline store. In the feature_store.yaml file, the registry type is file but it uses a simple SQLite database.

Procedure

1. In the OpenShift console, click the Quick Create ( ) icon and then click the Import YAML option.
2. Verify that your data science project is the selected project.

3. Copy the following code and paste it into the YAML editor:

   apiVersion: feast.dev/v1alpha1
   kind: FeatureStore
   metadata:
     name: sample
   spec:
     feastProject: my_project
     services:
   	  ui: {}  

   1

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   1

   Specifies to create a Web UI for the feature store instance.

4. Click Create.

   The Feature Store Operator starts a container for the web-based Feature Store UI and creates an OpenShift route that provides the URL so that you can access it.

5. In the OpenShift console, select Workloads → Pods.

6. Make sure that your project (for example, my-ds-project) is selected.

   You should see a deployment for the web-based UI. Note that OpenShift enables TLS by default at runtime.

7. To populate the web-based UI with the objects in your feature store, create an OpenShift cron job:

   1. Open a terminal window.

   2. If you are not already logged in to your OpenShift cluster as a cluster administrator, log in as shown in the following example:

      $ oc login __<openshift_cluster_url>__ -u __<admin_username>__ -p __<password>__

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   3. Make sure that you are using the data science project in which you enabled Feature Store, for example, my-ds-project.

      $ oc project my-ds-project

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   4. Create a cron job by running a command with the following syntax:

      $ oc create job --from=cronjob/feast-<FeatureStore CR name> feast-apply

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      For example, if the metadata.name in the Feature Store CRD is sample, run the following command:

      $ oc create job --from=cronjob/feast-sample feast-apply

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   5. Run the following commands:

      $ oc wait --for=condition=complete job/feast-apply
      
      $ oc logs job/feast-apply --all-containers=true

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8. To find the URL for the Feature Store UI, in the OpenShift console, click Networking → Routes.

   In the row for the Feature Store UI, for example feast-sample-ui, the URL is in the Location column.

9. Click the URL link to open it in your default web browser.