Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Deduplicate transformation
  9. Expression transformation
  10. Filter transformation
  11. Hierarchy Builder transformation
  12. Hierarchy Parser transformation
  13. Hierarchy Processor transformation
  14. Input transformation
  15. Java transformation
  16. Java transformation API reference
  17. Joiner transformation
  18. Labeler transformation
  19. Lookup transformation
  20. Mapplet transformation
  21. Normalizer transformation
  22. Output transformation
  23. Parse transformation
  24. Python transformation
  25. Rank transformation
  26. Router transformation
  27. Rule Specification transformation
  28. Sequence Generator transformation
  29. Sorter transformation
  30. SQL transformation
  31. Structure Parser transformation
  32. Transaction Control transformation
  33. Union transformation
  34. Velocity transformation
  35. Verifier transformation
  36. Web Services transformation

Transformations

Transformations

Writing hierarchical data in an elastic mapping

Writing hierarchical data in an
elastic mapping

You can use a Target transformation in an
elastic mapping
to write hierarchical data to complex files, such as Avro, JSON, and Parquet files.
Consider the following guidelines when you write hierarchical data:
  • You must use an Amazon S3 V2 or Azure Data Lake Storage Gen2 connection to write hierarchical data. For more information, see the help for the appropriate connector.
  • You must create a new target at run time.
  • Do not use a parameter for the target connection or the target object.