Table of Contents

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  1. Preface
  2. Introduction to Big Data Streaming
  3. Big Data 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: Sample Files

Transformations in a Streaming Mapping

Transformations in a Streaming Mapping

When you create a streaming mapping, certain transformations are valid or are valid with restrictions.
The transformation types that you can add to a streaming mapping correlate to the types that you can add to a batch mapping with Big Data Management. Most of the restrictions related to batch mappings also apply to streaming mappings. The transformation restrictions mentioned in this guide apply specifically to streaming mappings.
You can include the following transformations in a streaming mapping:

    Aggregator transformation

    Data Masking transformation

    Expression transformation

    Filter transformation

    Java transformation

    Joiner transformation

    Lookup transformation

    Normalizer transformation

    Python transformation

    Rank transformation

    Router transformation

    Sorter transformation

    Union transformation

    Window transformation

The Window transformation is not supported for batch mappings.
For information about restrictions for batch mappings, see the
Big Data Management User Guide
.