Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Connections
  4. Mappings in the Hadoop Environment
  5. Mapping Objects in the Hadoop Environment
  6. Processing Hierarchical Data on the Spark Engine
  7. Stateful Computing on the Spark Engine
  8. Monitoring Mappings in the Hadoop Environment
  9. Mappings in the Native Environment
  10. Profiles
  11. Native Environment Optimization
  12. Data Type Reference
  13. Complex File Data Object Properties
  14. Function Reference
  15. Parameter Reference

Rules and Guidelines for Windowing Configuration

Rules and Guidelines for Windowing Configuration

Certain guidelines apply when you configure a transformation for windowing.
Consider the following rules and guidelines when you define windowing properties for a window function:
  • When you configure a frame, the start offset must be less than or equal to the end offset. Otherwise, the frame is not valid.
  • Configure a frame specification if you use an aggregate function as a window function. LEAD and LAG operate based on the offset value and ignore the frame specification.
  • You cannot use complex ports as partition or order keys.
  • You cannot preview the data in a transformation configured for windowing.
  • Assign unique port names to partition and order keys to avoid run-time errors.
  • The partition and order keys cannot use both a dynamic port and one or more generated ports of the same dynamic port. You must select either the dynamic port or the generated ports.

Updated December 13, 2018