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

Data Engineering Recovery

Data Engineering Recovery

An administrator can enable data engineering recovery to recover a job configured to run on the Spark engine when a Data Integration Service node stops unexpectedly.
When a Data Integration Service node fails before a running job is complete, the Data Integration Service sends the job to another node, which resumes processing job tasks from the point at which the node failure occurred. Recovery occurs upon node startup.
To use data engineering recovery, you must configure jobs to run on the Spark engine and submit jobs from the infacmd client.
An administrator configures data engineering recovery in Data Integration Service properties. For more information about data engineering recovery, see the
Data Engineering Administrator Guide
.


Updated September 28, 2020