Table of Contents

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  1. Preface
  2. Introduction
  3. Accessing Data Archive
  4. Working with Data Archive
  5. Scheduling Jobs
  6. Viewing the Dashboard
  7. Creating Data Archive Projects
  8. Salesforce Archiving
  9. SAP Application Retirement
  10. Creating Retirement Archive Projects
  11. Retention Management
  12. External Attachments
  13. Data Archive Restore
  14. Data Discovery Portal
  15. Data Visualization
  16. Oracle E-Business Suite Retirement Reports
  17. JD Edwards Enterprise Retirement Reports
  18. Oracle PeopleSoft Applications Retirement Reports
  19. Smart Partitioning
  20. Smart Partitioning Data Classifications
  21. Smart Partitioning Segmentation Policies
  22. Smart Partitioning Access Policies
  23. Language Settings
  24. Data Vault Datatype Conversion
  25. Special Characters in Data Vault
  26. SAP Application Retirement Supported HR Clusters
  27. Glossary

Converting Datatypes for Unsupported Datatype Errors

Converting Datatypes for Unsupported Datatype Errors

Manually convert datatypes to resolve the unsupported datatype error in the Data Vault Loader log file.
  1. Access the log file.
  2. Search the log for the unsupported datatype error.
    Use the error description to find the table and corresponding datatype that you need to convert.
  3. Access the metadata xml file that the ILM engine generated.
    Use the error description to find the file location.
  4. Change the datatype to a supported Data Vault Service datatype.
    Use the error description to find the table and corresponding datatype that you need to convert.
  5. Resume the Data Vault Loader job.

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