Table of Contents


  1. Preface
  2. Introduction to Informatica Big Data Management
  3. Mappings in the Hadoop Environment
  4. Mapping Sources in the Hadoop Environment
  5. Mapping Targets in the Hadoop Environment
  6. Mapping Transformations in the Hadoop Environment
  7. Processing Hierarchical Data on the Spark Engine
  8. Configuring Transformations to Process Hierarchical Data
  9. Processing Unstructured and Semi-structured Data with an Intelligent Structure Model
  10. Stateful Computing on the Spark Engine
  11. Monitoring Mappings in the Hadoop Environment
  12. Mappings in the Native Environment
  13. Profiles
  14. Native Environment Optimization
  15. Cluster Workflows
  16. Connections
  17. Data Type Reference
  18. Function Reference
  19. Parameter Reference



The LEAD function returns data from future rows.
LEAD uses the following syntax:
LEAD ( Column name, Offset, Default )
LEAD returns the value at an offset number of rows after the current row. Use the LEAD function to compare values in the current row with values in a following row. Use the following arguments with the LEAD function:
  • Column name. The column name whose value from the subsequent row is to be returned.
  • Offset. The number of rows following the current row from which the data is to be retrieved. For example, an offset of "1" accesses the next immediate row, and an offset of "3" accesses the third row after the current row.
  • Default. The default value to be returned if the offset is outside the scope of the partition. If you do not specify a default, the default is NULL.
For more information about the LEAD function, see the
Informatica Transformation Language Reference

Updated October 23, 2019