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. Integrated Validation for Archive and Retirement Projects
  12. Retention Management
  13. External Attachments
  14. Data Archive Restore
  15. Data Discovery Portal
  16. Data Visualization
  17. Oracle E-Business Suite Retirement Reports
  18. JD Edwards Enterprise Retirement Reports
  19. Oracle PeopleSoft Applications Retirement Reports
  20. Smart Partitioning
  21. Smart Partitioning Data Classifications
  22. Smart Partitioning Segmentation Policies
  23. Smart Partitioning Access Policies
  24. Language Settings
  25. Appendix A: Data Vault Datatype Conversion
  26. Appendix B: Special Characters in Data Vault
  27. Appendix C: SAP Application Retirement Supported HR Clusters
  28. Appendix D: Glossary

Datatype Conversion Errors

Datatype Conversion Errors

The Data Vault Loader job may not always convert datatypes automatically. The Data Vault Loader job may not be able to find a generic datatype to convert when it creates objects in Data Vault. Or, the Data Vault Loader job may have conversion errors or warnings when it loads numeric data to Data Vault. In either case, you must convert the datatypes manually.
Convert the datatypes if you receive one of the following errors in the log file:
Unsupported Datatype Error
If the Data Vault Loader job processes an unsupported datatype and is not able to identify a generic datatype, you receive an error message in the log file. The log file indicates the unsupported datatype, the table and column the datatype is included in, and the metadata xml file location that requires the change.
Conversion Error
If the Data Vault Loader job loads columns that have large numeric data or long strings of multibyte characters, it generates conversion warnings in the log file. The log file indicates the reason why the job failed if there is a problem converting data.

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