DefaultAzureCredential() failing in Synapse Analytics

Question

DefaultAzureCredential() failing in Synapse Analytics

Haria, Neel 0

I am trying to run a python package(.whl) using Synapse Analytics (Apache Spark pools).

The package uses DefaultAzureCredentials() to create a SparkSession object authenticated with Storage account/blob storage.

The package is uses to access data in these blob storage containers and process them. However, the DefaultAzureCredentials() is not able to authenticate resulting in an error.

The error message is as below:

ClientAuthenticationError: DefaultAzureCredential failed to retrieve a token from the included credentials. Attempted credentials: EnvironmentCredential: EnvironmentCredential authentication unavailable. Environment variables are not fully configured. Visit https://aka.ms/azsdk/python/identity/environmentcredential/troubleshoot to troubleshoot this issue. ManagedIdentityCredential: ManagedIdentityCredential authentication unavailable, no response from the IMDS endpoint. AzureCliCredential: Azure CLI not found on path AzurePowerShellCredential: PowerShell is not installed AzureDeveloperCliCredential: Azure Developer CLI could not be found. Please visit https://aka.ms/azure-dev for installation instructions and then,once installed, authenticate to your Azure account using 'azd auth login'. To mitigate this issue, please refer to the troubleshooting guidelines here at https://aka.ms/azsdk/python/identity/defaultazurecredential/troubleshoot.

What is the solution for this? The package works perfectly in local machine using managed identity.

2 answers

Your answer

Answer 1

@Haria, Neel - Thanks for the question and using MS Q&A forum.

The error message "DefaultAzureCredential failed to retrieve a token" indicates that your Python package in Synapse Analytics (Apache Spark pool) is unable to find the necessary credentials to authenticate with your storage account using DefaultAzureCredential(). This failure occurs because DefaultAzureCredential attempts several credential providers, and none of them are successful in your Synapse environment.

Here are some steps you can take to resolve this issue:

If you are using EnvironmentCredential, ensure that the required environment variables are set correctly. For example, if you are using a service principal, you need to set: AZURE_CLIENT_ID, AZURE_CLIENT_SECRET, and AZURE_TENANT_ID If these variables are not set, EnvironmentCredential will fail.
Ensure that the Synapse workspace has a managed identity enabled. You can check this in the Azure portal under the "Identity" section of your Synapse workspace. Make sure that the managed identity has been granted the necessary permissions to access the Azure Blob Storage account. You can do this by assigning the appropriate role (e.g., "Storage Blob Data Contributor") to the managed identity on the Blob Storage account.
Ensure that the Azure CLI is installed and accessible in your system's PATH. You can install it from the Azure CLI installation page and authenticate using az login
If you're using Azure PowerShell, make sure it is installed and accessible. You can install it from the Azure PowerShell installation page and authenticate using Connect-AzAccount

Refer to the troubleshooting guide for more detailed steps and solutions: https://aka.ms/azsdk/python/identity/environmentcredential/troubleshoot Managed identities for Azure Synapse Analytics

Hope this helps. Do let us know if you have any further queries.

Answer 2

Sherif Riad 0

The issue occurs because DefaultAzureCredential cannot authenticate in the Synapse Analytics environment. In your local machine, you might have access to credentials unavailable in Synapse Spark pools. Follow these steps to resolve the issue:

Enable Managed Identity for Synapse Analytics Ensure the Synapse workspace has a system-assigned managed identity enabled. Assign the necessary permissions, such as Storage Blob Data Contributor, to this identity on the Azure Storage account.
Configure Managed Identity for Apache Spark Pools Verify that the Spark pool uses the Synapse workspace managed identity.
Grant Permissions to Managed Identity Assign the Storage Blob Data Contributor role at the appropriate level, such as resource group, storage account, or container.

Modify Code to Use ManagedIdentityCredential Explicitly use ManagedIdentityCredential in your Python code:

   from azure.identity import ManagedIdentityCredential
   from azure.storage.blob import BlobServiceClient
   credential = ManagedIdentityCredential()
   blob_service_client = BlobServiceClient(account_url="https://<your-storage-account>.blob.core.windows.net", credential=credential)

Set Environment Variables Correctly Ensure variables like AZURE_CLIENT_ID, AZURE_TENANT_ID, and AZURE_CLIENT_SECRET are configured in the Spark environment if using EnvironmentCredential.

Test and Debug the Authentication Add logging to diagnose issues in the credential chain. For example:

   import logging
   from azure.identity import DefaultAzureCredential
   logging.basicConfig(level=logging.DEBUG)
   credential = DefaultAzureCredential(logging_enable=True)

Optional - Use Azure Key Vault If managing secrets, configure Synapse to access Azure Key Vault and retrieve secrets securely.

Apply these steps and re-run the package in the Synapse Spark pools to confirm the issue is resolved.

Haria, Neel 0 Reputation points

2024-12-03T07:23:55.64+00:00

Thank you for your response, however I seem to have tried these options.

I made sure that I have my managed identity enabled while using Synapse notebooks, I am using a single managed identity to grant access to everything I need with correct permissions. However, I still see the same issue.

What would be the best way to verify my spark pool is using the correct Managed Identity?
Sherif Riad 0 Reputation points

2024-12-03T08:20:46.09+00:00
Check Synapse Workspace Managed Identity Settings: Ensure your Synapse workspace has a system-assigned managed identity enabled. Go to your Synapse workspace in the Azure portal, under Settings, select Managed identities, and verify that the System-assigned managed identity is ON. Note the managed identity's object ID.

Verify Spark Pool Settings: Confirm that your Spark pool is configured to use the managed identity. Navigate to Manage > Apache Spark pools, select your Spark pool, and click Networking. Verify that Managed Private Endpoints are correctly configured. Under the Authentication section, ensure that the Managed Identity Authentication option is enabled for the Spark pool.

Check Role Assignments: Ensure the managed identity has sufficient permissions on the Azure Storage account. Go to your Storage account in the Azure portal, under Access Control (IAM), check role assignments, and verify that the Storage Blob Data Contributor role is assigned to the managed identity at the correct scope (e.g., Storage account or container level).

Debug Managed Identity Usage in the Spark Pool: Add diagnostic logs in your Python code to confirm which credential the DefaultAzureCredential is attempting to use. Use this code:
import logging from azure.identity import DefaultAzureCredential logging.basicConfig(level=logging.DEBUG) credential = DefaultAzureCredential(logging_enable=True)
To explicitly retrieve a token for debugging, use:
from azure.identity import ManagedIdentityCredential credential = ManagedIdentityCredential() token = credential.get_token("https://storage.azure.com/.default") print(f"Token acquired: {token.token}")

Check Synapse Job Logs: Navigate to Monitor > Apache Spark Applications in your Synapse workspace, select the specific job, and check the Driver logs to look for detailed errors related to authentication.

Use a Storage SDK Connection Test: Test access to your Storage account using the BlobServiceClient with the managed identity credential. Use the following snippet:
from azure.identity import ManagedIdentityCredential from azure.storage.blob import BlobServiceClient credential = ManagedIdentityCredential() blob_service_client = BlobServiceClient(account_url="https://<your-storage-account>.blob.core.windows.net", credential=credential) print(blob_service_client.get_account_information())

Use Azure CLI for Debugging: Ensure the managed identity is correctly resolved by testing with Azure CLI. Run az login --identity --debug to verify that the Spark pool can authenticate using the managed identity.

Confirm Spark Pool Libraries: If using a .whl package, confirm the correct versions of Azure SDK libraries are installed in the Spark pool. Add the required libraries explicitly in the Spark pool Packages settings (e.g., azure-identity, azure-storage-blob).

Test with Explicit Managed Identity Client ID: If multiple managed identities are available, explicitly specify the client ID of the managed identity in your code using:
from azure.identity import ManagedIdentityCredential credential = ManagedIdentityCredential(client_id="<managed-identity-client-id>")

Contact Azure Support: If none of these steps resolve the issue, there may be a configuration problem in the Synapse environment. Open a support ticket with Azure Support and include logs and error details.
Ganesh Gurram 7,295 Reputation points Microsoft External Staff Moderator

2024-12-04T18:23:42.76+00:00

@Haria, Neel - Just checking in to see if the above answer helped. If this answers your query, do click `Accept Answer` and `Yes` for was this answer helpful. And, if you have any further query do let us know.

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DefaultAzureCredential() failing in Synapse Analytics

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