Table of Contents


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

Rules and Guidelines for Data Preview on the Spark Engine

Rules and Guidelines for Data Preview on the Spark Engine

Consider the following rules and guidelines when you work with data preview on the Spark engine:
  • You cannot preview data in a mapping in which the preview point or any upstream transformation contains dynamic complex data types, such as dynamic arrays, dynamic maps, and dynamic structs.
  • Date fields have an additional timestamp component (00:00:00) in the data viewer.
  • You can view the logs in the following location:
    <Install location>/logs/<node name>/services/DataIntegrationService/disLogs/ms
    . You cannot view the logs from the Developer tool.
  • You cannot preview data on an Expression transformation configured for windowing.
  • You cannot preview data on transformations that contain multiple output groups.




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