Communities
A collaborative platform to connect and grow with like-minded Informaticans across the globe
Product Communities
Connect and collaborate with Informatica experts and champions
Discussions
Have a question? Start a Discussion and get immediate answers you are looking for
User Groups
Customer-organized groups that meet online and in-person. Join today to network, share ideas, and get tips on how to get the most out of Informatica
Get Started
Community Guidelines
Knowledge Center
Troubleshooting documents, product guides, how to videos, best practices, and more
Knowledge Base
One-stop self-service portal for solutions, FAQs, Whitepapers, How Tos, Videos, and more
Support TV
Video channel for step-by-step instructions to use our products, best practices, troubleshooting tips, and much more
Documentation
Information library of the latest product documents
Velocity (Best Practices)
Best practices and use cases from the Implementation team
Learn
Rich resources to help you leverage full capabilities of our products
Trainings
Role-based training programs for the best ROI
Certifications
Get certified on Informatica products. Free, Foundation, or Professional
Product Learning Paths
Free and unlimited modules based on your expertise level and journey
Resources
Library of content to help you leverage the best of Informatica products
Tech Tuesdays Webinars
Most popular webinars on product architecture, best practices, and more
Product Availability Matrix
Product Availability Matrix statements of Informatica products
SupportFlash
Monthly support newsletter
Support Documents
Informatica Support Guide and Statements, Quick Start Guides, and Cloud Product Description Schedule
Product Lifecycle
End of Life statements of Informatica products
Ideas
Events
Change Request Tracking
Marketplace
English
  • Data Integration
  • All Products

Table of Contents

Search

  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Chunking transformation
  9. Cleanse transformation
  10. Data Masking transformation
  11. Data Services transformation
  12. Deduplicate transformation
  13. Expression transformation
  14. Filter transformation
  15. Hierarchy Builder transformation
  16. Hierarchy Parser transformation
  17. Hierarchy Processor transformation
  18. Input transformation
  19. Java transformation
  20. Java transformation API reference
  21. Joiner transformation
  22. Labeler transformation
  23. Lookup transformation
  24. Machine Learning transformation
  25. Mapplet transformation
  26. Normalizer transformation
  27. Output transformation
  28. Parse transformation
  29. Python transformation
  30. Rank transformation
  31. Router transformation
  32. Rule Specification transformation
  33. Sequence transformation
  34. Sorter transformation
  35. SQL transformation
  36. Structure Parser transformation
  37. Transaction Control transformation
  38. Union transformation
  39. Vector Embedding transformation
  40. Velocity transformation
  41. Verifier transformation
  42. Web Services transformation

Transformations

Transformations

Back Next

Source fields

Source fields

You can configure the source fields that you want to use in the data flow. Configure source fields on the
Fields
 tab of the
Properties
 panel.
Configuration options vary based on the connection type. For most connection types, you can add and remove source fields, configure how the fields are displayed, edit field metadata, and restore original fields from the source object. For some connection types, you can restore original fields from the source object only. For more information about configuring source fields, see the help for the appropriate connector.
You can configure source fields in the following ways:
Add the source file name to each row.
If you are using a file list as the source, and you want to identify the source for each row, add the source file name to the field list. You can pass this information to the target table.
To add the source file name to each row, enable the
Add Currently Processed Filename Field
 option. The
Add Currently Processed Filename Field
 option is visible for file sources.
When you enable or disable this option,
Data Integration
 adds or removes the CurrentlyProcessedFileName field but it doesn't synchronize the fields with the source object. To synchronize with the source object, click the
Refresh
 icon. You can synchronize all fields, synchronize new fields only, or skip the synchronization.
Retain existing fields at runtime.
If field metadata changes after a mapping is saved,
Data Integration
 uses the updated field metadata when you run the mapping. Typically, this is the desired behavior. However, if the mapping uses a native flat file connection and you want to retain the metadata used at design time, enable the
Retain existing fields at runtime
 option. When you enable this option,
Data Integration
 mapping tasks will use the field metadata that was used when you created the mapping.
Add and remove fields.
You can add fields to a mapping source. Add a field to retrieve a field from the source object that is not displayed in the list. To add a field, click
Add Field
, and then enter the field name, type, precision, and scale.
You can also remove fields that you do not want to use in the mapping. To remove fields, select the fields that you want to remove, and then click
Delete
.
Change the sort order.
You can display source fields in native order, ascending order, or descending order. To change the sort order, click
Sort
, and select the appropriate sort order.
Use technical field names or labels.
You can display field names by label or technical field name.
To change the display option for field names, select
Options
Use Technical Field Names
 or
Options
Use Labels
.
Edit field metadata.
You can edit the metadata for a field. You might edit metadata to change information that is incorrectly inferred. When you edit metadata, you can change the name, native type, native precision, and native scale, if applicable for the data type. For some source types, you can also change the transformation data type in the
Type
 column.
To edit the name or metadata for one or more fields, click
Options
Edit Metadata
. When you edit metadata, you can also display native names by label or technical field name. To change the display option for native names, select
Options
Show Technical Field Names
 or
Options
Show Labels
.
When you change the metadata for a field, avoid making changes that can cause errors when you run the task. For example, you can usually increase the native precision or native scale of a field without causing errors. But if you reduce the precision of a field, you might cause the truncation of data.
You can't edit field metadata in mappings in SQL ELT mode.
Restore original fields from the source object.
To restore the original fields from the source object, enable the
Synchronize
 option. When you synchronize fields,
Data Integration
 restores deleted source fields and adds fields that are new to the source.
Data Integration
 removes any added fields that do not have corresponding fields in the source object.
Data Integration
 updates the metadata for existing source fields based on whether you synchronize all fields or synchronize new fields only. When you synchronize all fields,
Data Integration
 replaces any field metadata that you edited with the field metadata from the source object. When you synchronize new fields only,
Data Loader
 retains the metadata for any existing source field.
Data Integration
 does not revert changes that you made to the
Name
 field.
0 COMMENTS
We’d like to hear from you!