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

Flatten selected array

Flatten selected array

When you add an incoming array of primitives to the output, you can choose to flatten the selected array. This option flattens the array into a field of the same data type. You can select this option when the output is hierarchical.
This option creates one record for each element in the array.

Example

You want to extract the description information from a nested array of maintenance records. The description information is in an array of strings. You want to flatten the output into a string field.
Add the description array to the output group and choose
Flatten Selected Array
.
The following image shows the incoming and output fields:
The image shows the Hierarchy Processor tab of the Hierarchy Processor transformation. The Incoming Fields panel contains one input group with the following field: vehicle (array). The vehicle array contains the following fields: make (string), model (string) insurance (struct), and maintenance (array). The insurance struct contains the following fields: company (string) and policy_num (string). The maintenance array contains the following fields: date (string) and description (array of strings). The Output Fields panel contains the following field: description (string).
The output contains one record for each occurrence of description in the incoming data.
For example, the incoming data contains the following record:
[ { "vehicle": [ { "make": "Toyota", "model": "Corolla", "insurance": { "company": "Allstate", "policy_num": "AS12876" }, "maintenance": [ { "date": "01/01/2020", "description": ["oil filter1", "oil filter2"] }, { "date": "01/08/2020", "description": ["tire rotation1", "tire rotation2"] } ] }, { "make": "Toyota", "model": "RAV4", "insurance": { "company": "Allstate", "policy_num": "AS2033" }, "maintenance": [ { "date": "01/02/2020", "description": ["air filter replacement1", "air filter replacement2"] }, { "date": "01/08/2020", "description": ["battery replacement1", "battery replacement2"] } ] } ] } ]
Data Integration
creates the following output records, one for each occurrence of description in the incoming data:
{"description":"oil filter1"} {"description":"oil filter2"} {"description":"tire rotation1"} {"description":"tire rotation2"} {"description":"air filter replacement1"} {"description":"air filter replacement2"} {"description":"battery replacement1"} {"description":"battery replacement2"}