Table of Contents

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  1. Preface
  2. Introduction to Informatica Data Engineering Integration
  3. Mappings
  4. Mapping Optimization
  5. Sources
  6. Targets
  7. Transformations
  8. Python Transformation
  9. Data Preview
  10. Cluster Workflows
  11. Profiles
  12. Monitoring
  13. Hierarchical Data Processing
  14. Hierarchical Data Processing Configuration
  15. Hierarchical Data Processing with Schema Changes
  16. Intelligent Structure Models
  17. Blockchain
  18. Stateful Computing
  19. Appendix A: Connections Reference
  20. Appendix B: Data Type Reference
  21. Appendix C: Function Reference

Midstream Parsing Overview

Midstream Parsing Overview

You can use complex functions to parse up to 5 MB of data midstream in a mapping on the Spark engine.
The Spark engine can parse raw string source data using the following complex functions:
  • PARSE_JSON
  • PARSE_XML
The complex functions parse JSON or XML data in the source string and generate struct target data.
For more information about the complex functions, see the
Informatica Developer Transformation Language Reference
.


Updated September 28, 2020