Скачать или смотреть Troubleshooting SSL TLS Version Issues in BigQuery Linked Services on Azure Data Factory

Learn how to resolve SSL/TLS version issues when connecting your Azure Data Factory to BigQuery, ensuring secure connections using proper protocol settings.
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Troubleshooting SSL TLS Version Issues in BigQuery Linked Services on Azure Data Factory

When attempting to create a Linked Service in Azure Data Factory (ADF) to connect to Google BigQuery, you may encounter a rather frustrating error message regarding SSL and TLS versions. This can halt your progress and obstruct secure connections critical for data integration. Let’s break down this issue and explore the steps to resolve it effectively.

Understanding the Problem

The issue arises when trying to authenticate using a Service Account while using a .p12 file secured in the Integration Runtime (IR) VM directory. The specific error message you might see is:

[[See Video to Reveal this Text or Code Snippet]]

This error typically suggests that the server you are connecting to has SSL disabled or is not configured to support the necessary TLS version, specifically TLS 1.2 or higher. Interestingly, if the same setup works on a different Integration Runtime Virtual Machine (IR VM), the causes could be linked to configuration discrepancies.

Steps to Diagnose the Issue

Here are the steps to diagnose and potentially resolve the SSL/TLS version issue in your Azure Data Factory Linked Service:

1. Compare SSL/TLS Versions Across VMs

Start by verifying the SSL/TLS versions enabled on both IR VMs:

Check SSL/TLS settings in your server configurations. You can use command-line utilities or browser-based tools to check the supported SSL/TLS versions.

2. Monitor Network Traffic During Connection Attempts

Use network monitoring tools to capture traffic while your ADF is attempting to connect to BigQuery:

This provides insights into connection establishment processes and can reveal issues such as network blockages or misconfigurations.

3. Identify Possible Blockages and Errors

While monitoring traffic, watch for common issues that might be causing the SSL/TLS failure:

Firewall Blockages: Ensure that the communication ports required for SSL connections are open on your firewalls.

Missing Configurations: Confirm that all necessary setups are in place. For example, BigQuery might need a specific Google base setup required for SSL connections.

4. Implement Correct Setup

If you find discrepancies or configuration mismatches, rectify these by:

Adjusting the SSL/TLS settings to ensure TLS 1.2 or higher is enforced.

Updating firewall rules to allow outbound connections to Google Cloud services.

5. Testing the Connection Again

After making changes, re-test the connection in your Azure Data Factory to ensure that the linked service to BigQuery operates correctly. Look out for the same or new error messages that may guide you to additional troubleshooting steps.

Conclusion

SSL/TLS version issues can be quite intricate, especially in environments that involve multiple configurations across VMs and cloud services like Azure Data Factory and Google BigQuery. It is crucial to ensure that all involved systems are aligned in their SSL/TLS configurations to establish a secure and reliable connection. If these initial steps do not resolve the issue, consider reaching out to your network administrator or tech support for deeper investigation.

By carefully following these troubleshooting steps, you can efficiently diagnose and rectify SSL/TLS version issues to maintain seamless data integration between Azure Data Factory and Google BigQuery.