Job failed due to reason: at Sink 'xxx': Connection string is invalid. Unable to parse.

Pratisti Satardekar 130 Reputation points
2024-05-03T10:54:25.3966667+00:00

Hi,
In a pipeline there are 5 dataflows. When we debug each dataflow separately it works perfectly fine. But the moment we debug the pipeline, we get the error "Job failed due to reason: at Sink 'xxx': Connection string is invalid. Unable to parse.".
Each time we debug the pipeline it throws the error for different data flow. We are not sure what's the cause of the pipeline failure exactly.

Can you please guide us here.

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  1. phemanth 11,285 Reputation points Microsoft Vendor
    2024-05-03T11:39:09.5966667+00:00

    @Pratisti Satardekar

    Thanks for using MS Q&A platform and posting your query.

    The error message "Job failed due to reason: at Sink 'xxx': Connection string is invalid. Unable to parse." indicates an issue with the connection string used by one of your dataflows (sink 'xxx') in the pipeline. Here are some troubleshooting steps to pinpoint the cause of the issue:

    • Compare Individual vs. Pipeline: Carefully compare the connection string used by the failing dataflow when running individually against the one used in the pipeline. Look for typos, missing elements, or incorrect formatting specific to the database you're connecting to.
    • Review Documentation: Ensure the connection string format adheres to the database system's documentation. Different databases have specific syntax requirements.
    • Dependency Issues: Although dataflows work independently, check if there might be a dependency issue between them. For instance, a dataflow might rely on the output schema of another that isn't set correctly in the pipeline, leading to connection string parsing errors downstream.
    • Variable Configuration: Verify that any variables used within the connection string are properly defined and accessible within the pipeline environment. Inconsistencies between individual dataflow debugging and pipeline execution can arise due to missing environment variables.
    • Clear Cache: In some cases, cached data or configurations might interfere with the connection string retrieval. Try clearing the cache of your pipeline development environment and re-running the pipeline.
    • Enable Logging: If the above steps don't resolve the issue, enable more verbose logging within your pipeline. This can provide additional details about the connection attempt and pinpoint the specific dataflow and connection string causing the problem.
    • Dynamic Connection Strings: If you’re using dynamic connection strings, there might be an issue with how they’re being generated or assigned. Check the logic that generates these strings.
    • Concurrency Issues: If the error is occurring for different data flows each time you run the pipeline, it could be a concurrency issue. If multiple data flows are trying to access the same sink at the same time, they might be interfering with each other’s connections.
    • Permissions: Make sure that the account or service principal used in the connection string has the necessary permissions to write to the sink.
    • Network Issues: There could be network issues preventing a successful connection to your data store. Check if there are any firewalls, virtual networks, or other network configurations that could be blocking the connection.
    • Data Format: Ensure that the data format being written to the sink matches the sink’s expected data format. A mismatch here could potentially cause issues.

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


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