Deciphering U-SQL's Error Messages

This article provides a practical guide for understanding and troubleshooting error messages in Azure Data Lake Analytics U-SQL jobs. It identifies three common root causes of job failures: problems with the script, the data, or the extractor's schematization of data. The author outlines a step-by-step approach to deciphering error messages, including reading the 'Message' section for a general sense of the issue, determining the root cause category, and examining the 'Detail' section for specific clues marked by '###' symbols. The article emphasizes understanding errors rather than blindly copying them, making it a useful resource for developers working with U-SQL and Azure Data Lake Analytics.