An Azure service that provides an enterprise-wide hyper-scale repository for big data analytic workloads and is integrated with Azure Blob Storage.
Hi WZIAFP,
Thanks for reaching out to Microsoft Q&A.
This issue arises when the authentication token used by your Synapse Notebook to access ADLS Gen2 expires or is invalidated. Below are some strategies to prevent this error from recurring:
- Token Expiry and Refresh
- If you're using Azure Active Directory (AAD) for authentication with a Service Principal or Managed Identity, ensure that your token is being refreshed during long-running operations.
- Use the DefaultAzureCredential() or equivalent credential class in your code to manage token lifecycle automatically.
- Session Timeout Settings
- Check if there are specific timeout settings for the Spark session. If the session remains idle for too long, tokens may expire, causing the authentication error.
- Configure your Spark session with a timeout value that aligns with your token's lifespan or implement a mechanism to renew the token before it expires.
Example for Notebook Configuration:
python
spark.conf.
- Managed Identity Configuration
- If you're using a Managed Identity:
- Ensure the Synapse workspace Managed Identity has the necessary RBAC permissions on the ADLS account (e.g.,
Storage Blob Data Contributoror higher).- Verify that the Managed Identity is enabled and linked correctly with the Synapse Spark pool.
- Ensure the Synapse workspace Managed Identity has the necessary RBAC permissions on the ADLS account (e.g.,
- Reconnection Logic
- Implement a reconnection logic in your notebook that catches the
ClientAuthenticationErrorand retries the connection with a refreshed token.
- Monitor and Debug Token Issues
- Use Azure Monitor to trace authentication issues by enabling diagnostic settings on your ADLS account. Look for events related to token failures.
- Check the www-authenticate header in the error message for details about the failure.
- Spark Pool Configuration
- Restarting the Spark pool to resolve the issue suggests there may be token caching problems or timeout misconfigurations. Adjust the session token timeout settings if possible to align with your workload.
- Update to Latest SDK and Runtime
- Ensure that your Synapse workspace is using the latest runtime version and that your notebook uses the most recent versions of the Azure SDKs. Updates often resolve known issues related to authentication and token handling.
- Keep the Pool Warm
- If the issue happens due to the pool going into an idle state, consider setting up a lightweight job to periodically interact with the Spark pool to keep it warm.
By implementing these steps, you can reduce the frequency of token expiration issues and ensure a more seamless operation of your Synapse Notebooks.
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