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. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation

Transformations

Transformations

Add selected array as struct

Add selected array as struct

When you add an incoming array of primitives as a struct, the array is flattened into a struct field, without flattening any descendant arrays.
The "Add selected array as struct" option creates one record for each element in the selected array.

Example of adding an array as struct

You want to flatten an array of vehicle records into a struct without flattening the child array of maintenance records.
Add the vehicle array to the output group and choose
Add Selected Array as Struct
.
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: vehicle (struct). The vehicle struct 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 contains one record for each element in the vehicle array.
For example, the incoming data contains the following record which contains data about two vehicles:
[ { "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"] } ] } ] } ]
The Hierarchy Processor transformation creates the following output records, one for each vehicle:
{ "vehicle":{ "make":"Toyota", "model":"Corolla", "insurance":{ "company":"Allstate", "policy_num":"AS12876" }, "maintenance":[ { "date":"01/08/2020", "description":["tire rotation2","tire rotation1"] }, { "date":"01/01/2020", "description":["oil filter2","oil filter1"] } ] } } { "vehicle":{ "make":"Toyota", "model":"RAV4", "insurance":{ "company":"Allstate", "policy_num":"AS2033" }, "maintenance":[ { "date":"01/08/2020", "description":["battery replacement2","battery replacement1"] }, { "date":"01/02/2020", "description":["air filter replacement2","air filter replacement1"] } ] } }

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