Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Output Settings

Output Settings

Configure output control settings to control whether the Data Processor transformation creates event logs and saves output documents.
You can control the types of messages that the Data Processor transformation writes to the design-time event log. If you save the parsed input documents with the event logs, you can view the context where the error occurred in the
Event
view.
The following table describes the settings in the
Design-Time Events
area:
Setting
Description
Log design-time events
Determines whether to create a design-time event log. By default, the Data Processor transformation logs notifications, warnings, and failures in the design-time event log. You can exclude the following event types:
  • Notifications
  • Warnings
  • Failures
Save parsed documents
Determines when the Data Processor transformation saves a parsed input document. You can select the following options:
  • Always.
  • Never
  • On failure
The default is always.
The following table describes the settings in the
Run-Time Events
area:
Setting
Description
Log run-time events
Determines whether an event log is created when you run the transformation from a mapping.
  • Never.
  • On failure
The default is Never.
The following table describes the settings in the
Output
area:
Setting
Description
Disable automatic output
Determines whether the Data Processor transformation writes the output to the standard output file. Disable standard output in the following situations:
  • You pass the output of a Parser to the input of another component before the transformation creates an output file.
  • You use a
    WriteValue
    action to write data directly to the output from a Script instead of passing data through the output ports.
Disable value compression
Determines whether the Data Processor transformation uses value compression to optimize memory use.
Important: Do not disable value compression except when Informatica Global Customer Support advises you to disable it.
The following table describes the settings in the
Binary output port collection mode
area. You can select one of these options for binary output for a relational to hierarchical transformation with XML, Avro, or Parquet output, or for a Data Processor transformation Parser with Avro or Parquet output.
Setting
Description
Collect input rows to a single output
Determines whether the Data Processor transformation accumulates the relational input to a single binary output port.
Split output when size exceeds
Determines whether the Data Processor transformation divides the output into chunks based on a maximum stated output size.
Output row for each row (do not collect)
Determines whether the Data Processor transformation passes the output in separate rows.

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