Table of Contents

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  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 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 December 13, 2018