You can update the online serving configuration for an online store created for Bigtable online serving. For example, you can update the maximum and minimum numbers of serving nodes.
While creating or updating an online store, you have the option to add user-defined metadata in the form of labels to the online store. For more information about how to update user-defined labels for an online store, see Update labels for an online store.
Before you begin
Authenticate to Vertex AI, unless you've done so already.
To use the REST API samples on this page in a local development environment, you use the credentials you provide to the gcloud CLI.
Install the Google Cloud CLI, then initialize it by running the following command:
gcloud init
For more information, see Authenticate for using REST in the Google Cloud authentication documentation.
Update an online store instance
Use the following sample to update the scaling options in an online store instance created for Bigtable online serving.
REST
To update a FeatureOnlineStore
resource, send a PATCH
request by using the
featureOnlineStores.patch
method.
Before using any of the request data, make the following replacements:
- LOCATION_ID: Region where the online store is located, such as
us-central1
. - PROJECT_ID: Your project ID.
- FEATUREONLINESTORE_NAME: The name of the online store that you want to update.
HTTP method and URL:
PATCH https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME
Request JSON body:
{ "bigtable": { "auto_scaling": { "min_node_count": 1, "max_node_count": 3, "cpu_utilization_target": 50 } } }
To send your request, choose one of these options:
curl
Save the request body in a file named request.json
,
and execute the following command:
curl -X PATCH \
-H "Authorization: Bearer $(gcloud auth print-access-token)" \
-H "Content-Type: application/json; charset=utf-8" \
-d @request.json \
"https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME"
PowerShell
Save the request body in a file named request.json
,
and execute the following command:
$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }
Invoke-WebRequest `
-Method PATCH `
-Headers $headers `
-ContentType: "application/json; charset=utf-8" `
-InFile request.json `
-Uri "https://LOCATION_ID-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME" | Select-Object -Expand Content
You should receive a JSON response similar to the following:
{ "name": "projects/PROJECT_NUMBER/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME/operations/OPERATION_ID", "metadata": { "@type": "type.googleapis.com/google.cloud.aiplatform.v1.UpdateFeatureOnlineStoreOperationMetadata", "genericMetadata": { "createTime": "2023-09-18T17:49:23.847496Z", "updateTime": "2023-09-18T17:49:23.847496Z" } }, "done": true, "response": { "@type": "type.googleapis.com/google.cloud.aiplatform.v1.FeatureView", "name": "projects/PROJECT_NUMBER/locations/LOCATION_ID/featureOnlineStores/FEATUREONLINESTORE_NAME" } }
What's next
Learn how to delete an online store.
Learn how to create a feature view.
Start online serving feature data.