Table of Contents

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  1. Preface
  2. Analyst Service
  3. Catalog Service
  4. Content Management Service
  5. Data Integration Service
  6. Data Integration Service Architecture
  7. Data Integration Service Management
  8. Data Integration Service Grid
  9. Data Integration Service REST API
  10. Data Integration Service Applications
  11. Enterprise Data Preparation Service
  12. Interactive Data Preparation Service
  13. Informatica Cluster Service
  14. Mass Ingestion Service
  15. Metadata Access Service
  16. Metadata Manager Service
  17. Model Repository Service
  18. PowerCenter Integration Service
  19. PowerCenter Integration Service Architecture
  20. High Availability for the PowerCenter Integration Service
  21. PowerCenter Repository Service
  22. PowerCenter Repository Management
  23. PowerExchange Listener Service
  24. PowerExchange Logger Service
  25. SAP BW Service
  26. Search Service
  27. System Services
  28. Test Data Manager Service
  29. Test Data Warehouse Service
  30. Web Services Hub
  31. Application Service Upgrade
  32. Appendix A: Application Service Databases
  33. Appendix B: Connecting to Databases from Windows
  34. Appendix C: Connecting to Databases from UNIX or Linux
  35. Appendix D: Updating the DynamicSections Parameter of a DB2 Database

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
.