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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Creating the Database Table

Creating the Database Table

The SQL transformation writes product prices to the Prod_Cost relational table. The Prod_Cost table contains unit and package prices for each product. It stores the wholesale, retail, and manufacturing prices by unit and package.
You do not create a relational target definition for the Prod_Cost table in the repository. The SQL transformation generates the SQL statements to update the table in the database.
The Prod_Cost table contains the following columns:
Type of Costs
Datatype
Description
ProductID
varchar
A unique number that identifies the product to update.
WUnitPrice
number
Wholesale unit price.
WPkgPrice
number
Wholesale package price.
RUnitPrice
number
Retail unit price.
RPkgPrice
number
Retail package price.
MUnitPrice
number
Manufacturers unit price.
MPkgPrice
number
Manufacturers package price.
The following SQL statements create the Prod_Cost table and three product rows on an Oracle database:
Create table Prod_Cost (ProductId varchar (10), WUnitPrice number, WPkgPrice number, RUnitPrice number, RPkgPrice number,MUnitPrice number, MPkgPrice number ); insert into Prod_Cost values('100',0,0,0,0,0,0); insert into Prod_Cost values('200',0,0,0,0,0,0); insert into Prod_Cost values('300',0,0,0,0,0,0); commit;

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