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

Add a Delete Cluster Task

Add a Delete Cluster Task

To create an ephemeral cluster, add a Delete Cluster task.
The Delete Cluster task terminates the cluster and deletes the cluster and other resources that the cluster workflow creates.
If you do not add a Delete Cluster task, the cluster that the workflow creates remains running when the workflow ends. You can delete the cluster at any time.
  1. Drag a Delete Cluster task to the workflow editor.
  2. In the General properties, optionally rename the Delete Cluster task.
  3. Connect the final task in the workflow to the Delete Cluster task, and connect the Delete Cluster task to the workflow End_Event.
You can also use
infacmd ccps deleteCluster
to delete a cloud cluster.
When you create a Databricks job cluster to run mapping and other tasks, Databricks deletes the cluster automatically after completing all tasks. You don't need to include a Delete Cluster task in the workflow.


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