Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. B2B transformation
  7. Aggregator transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence Generator transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Relational to hierarchical example

Relational to hierarchical example

You need to create a purchase order file in hierarchical format using customer sales data from two purchase order tables and the customer address table.
Use the Hierarchy Processor transformation to create purchase orders in hierarchical format.
The POHeader table contains basic information about the orders placed by customers:
OrderNumber
Comment
OrderDate
ConfirmDate
1
AppD for POD4
2020-10-01 00:00:00.0
2020-10-02 00:00:00.0
2
GoJS for IICS
2020-10-12 00:00:00.0
2020-10-12 00:00:00.0
The Address table contains customer address information for each order:
OrderNumber
AddressType
Name
Street
City
State
Country
Zip
1
ShipTo
Tom
2100 Seaport Blvd
Redwood City
CA
USA
94063
1
BillTo
Tom
2100 Seaport Blvd
Redwood City
CA
USA
94063
2
ShipTo
Bill
1630 S Delaware St
San Mateo
CA
USA
94402
2
BillTo
Bill
PO Box 313
San Mateo
CA
USA
94402
The PODetail table contains details about the customer purchase orders:
OrderNumber
ItemNum
ProductName
Quantity
Price
Comment
ShipDate
PartNum
1
1
AppD Agent for JVM
60
500
JVM agents
2020-10-15 00:00:00.0
1
1
3
ELB agents
10
200
ELB agents
2020-10-15 00:00:00.0
3
1
2
MySQL agents
2
120
MySQL agents
2020-10-16 00:00:00.0
2
1
4
MySQL agents
2
120
MySQL agents
2020-10-01 00:00:00.0
2
1
5
MySQL agents
2
120
MySQL agents
2020-10-01 00:00:00.0
2
2
1
GOJS OEM Edition
2
20000
GOJS Dev
2020-10-19 00:00:00.0
101
2
2
GOJS Professional Service
5
5000
GOJS Dev
2020-10-19 00:00:00.0
102
Perform the following steps to create purchase orders in hierarchical format:
  1. Step 1. Design the mapping.
  2. Step 2. Build the output group and create a struct.
  3. Step 3. Create an array of structs.
  4. Step 4. Aggregate the output data.
  5. Step 5. Create an array of structs and join data sources.
  6. Step 6. Run the mapping.

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