Table of Contents

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  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. Connections
  17. Data Type Reference
  18. Function Reference

Rules and Guidelines for Window Functions

Rules and Guidelines for Window Functions

Certain guidelines apply when you use window functions on the Spark engine.
Consider the following rules and guidelines when you define window functions in a transformation:
  • Specify a constant integer as the offset argument in a window function.
  • Specify a default argument that is the same data type as the input value.
  • You cannot specify a default argument that contains complex data type or a SYSTIMESTAMP argument.
  • To use the LEAD and LAG window functions, you must configure partition and order keys in the windowing properties.
  • To use an aggregate function as a window function in an Expression transformation, you must configure a frame specification in the windowing properties.


Updated January 20, 2020