Lookup activity error result

Question

How to identify errors with lookup activity task in data pipeline

Answer 1

Hey Navakanth,

it looks like you're trying to troubleshoot errors related to the Lookup activity in Azure Data Factory. Here’s a comprehensive approach to identifying issues and resolving errors that may occur with your Lookup activity:

Steps to Troubleshoot Lookup Activity Errors

1. Check for Error Codes: If your Lookup activity is returning an error code, refer to the Error Codes Documentation for insights about what the specific error message means and how to resolve it.
2. Output Size Limitations: Remember that the Lookup activity can return a maximum of 5000 rows and the output size should not exceed 4 MB. If you are hitting these limits, you may need to redesign your pipeline to handle smaller datasets or implement pagination.
3. Handle Timeouts: The Lookup activity has a default timeout duration, which could lead to failures if it takes longer to execute. Try setting the queryTimeout property in your activity's JSON configuration to extend the execution limit if you're dealing with larger datasets.
4. Utilize Retry Mechanisms: For transient errors (like the 2100 error code that can indicate a configuration failure), implementing a retry mechanism with a minimal interval of 30 seconds can help mitigate issues caused by temporary network instabilities.
5. Verify Data Source Queries: Ensure that your source queries are correctly constructed to return exactly one result set. Misconfigured queries could lead to errors.

Additional Considerations:

• Check the Lookup activity capabilities for supported data sources and any operational limits that could affect your task.
• I hope these steps help you identify and resolve the issues you're facing with the Lookup activity. If you have further questions or need more assistance, feel free to ask!

Reference document:

• Troubleshoot Azure Data Factory and Synapse pipelines
• Lookup Activity in Azure Data Factory
• Handling Timeouts in Lookups

Thanks!

Kalyani

Answer 2

To identify errors with the Lookup activity in a data pipeline, you can utilize the following approaches:

1. Output Error Rows: If you enable the option to output rejected data, the error rows can be written to a CSV file in Azure Blob Storage or an Azure Data Lake Storage Gen2 account. This output includes additional columns that provide details about the SQL operation (like INSERT or UPDATE), the data flow error code, and the error message.
2. Monitoring Activity Runs: You can monitor the activity runs in the Azure Data Factory or Synapse Analytics interface. This will allow you to see the status of the Lookup activity and any associated error messages.
3. Diagnostics and Logging: Utilize the diagnostics features available in Azure Data Factory to log errors and review the logs for specific error messages related to the Lookup activity.

By implementing these methods, you can effectively identify and troubleshoot errors that occur during the execution of the Lookup activity in your data pipeline.

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References:

• Lookup activity properties
• Copy and transform data in Azure Synapse Analytics by using Azure Data Factory or Synapse pipelines