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

Joiner Transformation in a Streaming Mapping

Joiner Transformation in a Streaming Mapping

Streaming mappings have additional processing rules that do not apply to batch mappings.

Mapping Validation

Mapping validation fails in the following situations:
  • A Joiner transformation is downstream from an Aggregator transformation.
  • A Joiner transformation is downstream from a Rank transformation.
  • A streaming pipeline contains more than one Joiner transformation.
  • A Joiner transformation joins data from streaming and non-streaming pipelines.

General Guidelines

To specify a join condition, select the TIME_RANGE function from the Advanced condition type on the Join tab and enter a join condition expression. The TIME_RANGE function determines the time range for the streaming events to be joined.


Updated January 20, 2020