Table of Contents

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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

MongoDB

MongoDB

The following table describes the data masking, data subset, data discovery, and data generation operations that you can perform on the MongoDB data types:
Data Types
Data Movement
Entity Criteria
Data Masking
Data Generation
Data Domain Discovery
Comments
Binary
Yes
No
Yes
No
No
You cannot perform data domain discovery and conditional data masking operations.
You cannot preview data for a Binary column in the data domain profile results.
Boolean
Yes
Yes
Yes
Yes
Yes
Date
Yes
Yes
Yes
Yes
Yes
jstOID
Yes
Yes
Yes
Yes
Yes
NumberDouble
Yes
Yes
Yes
Yes
Yes
You can enter a precision value up to 15.
NumberInt
Yes
Yes
Yes
Yes
Yes
You can enter a precision value up to 10.
NumberLong
Yes
Yes
Yes
Yes
Yes
You can enter a precision value from 1 to 28.
You can a scale value from 0 to 28.
String
Yes
Yes
Yes
Yes
Yes
You can use the following special characters for MongoDB sources:
/ + - ~ ? , | @ #
Use the following driver version for MongoDB:
SimbdaMongoDBODBC Driver Version: 1.8.x.xxx
You cannot perform the data masking, data subset, data discovery, and data generation operations on the following MongoDB data type:
  • Javascript
  • Timestamp