Table of Contents

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  1. Preface
  2. Introduction to Data Engineering Streaming
  3. Data Engineering Streaming Administration
  4. Sources in a Streaming Mapping
  5. Targets in a Streaming Mapping
  6. Streaming Mappings
  7. Window Transformation
  8. Appendix A: Connections
  9. Appendix B: Monitoring REST API Reference
  10. Appendix C: Sample Files

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.