Azure AI Search Indexer – Blob Triggered Azure Function

Azure Function with Blob Trigger to trigger indexing documents into Azure AI Search from Blob Storage.

🔧 Prerequisites

Select option 1 or 2 based on your scenario.

1. Access the blob container by Access key

   • The value assigned to connection="AzureWebJobsStorage" should be updated to the production connection string if you used Azurelite locally.

2. Access the blob container by Managed Identity

   Ensure the following Azure roles are assigned to the identity running the function:

   • Naviagte to Storage Account IAM.
   • Assign Storage Blob Data Owner and Storage Queue Data Contributor to the function.
   • Added environment variables with ServiceUri as postfix to the function: <CONNECTION_NAME_PREFIX>__blobServiceUri & <CONNECTION_NAME_PREFIX>__queueServiceUri. The sample uses AZURE_SEARCH_STORAGE as the value for <CONNECTION_NAME_PREFIX>.
   • 🤔 Despite of settings, it still requires enabling Allow storage account key access: Singleton lock renewal failed for blob '.../host' with error code 403: KeyBasedAuthenticationNotPermitted.

   💡 Learn more about the Blob Trigger for Azure Functions

Deployment

Use the Azure Functions Core Tools to publish your Python function app:

func azure functionapp publish <your-func-app-name> --python