Table of Contents


  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

Blockchain Data Object Operations

Blockchain Data Object Operations

Create a blockchain data object operation to use a blockchain data object in a mapping.
You can create a read operation to use as a source in a mapping or to look up data on the blockchain. You can create a write operation to use as a target in a mapping. When you run the mapping, the Spark engine uses the transactions in the data object operation to send the appropriate HTTP requests to the REST web service that exposes the blockchain.
Requests and responses use hierarchical data in JSON format.


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