Hi, I'm Ask INFA!
What would you like to know?
ASK INFAPreview
Please to access Ask INFA.

Table of Contents

Search

  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

Defining the SQL Transformation

Defining the SQL Transformation

The SQL transformation executes a dynamic SQL query that inserts the unit price and package price data into the Prod_Cost table. The SQL transformation receives the column names to update in the UnitPrice_Query and PkgPrice_Query ports.
When you create an SQL transformation, you define the transformation mode, the database type, and the type of connection. You cannot change the mode or connection type after you create the transformation.
Create an SQL transformation with the following properties:
  • Query Mode.
    The SQL transformation executes dynamic SQL queries.
  • Static Connection.
    The SQL transformation connects once to the database with the connection object you define in the Workflow Manager.
The following figure shows the SQL transformation Ports tab with its SQL Query and Query Description:
The SQL Ports tab of the Edit Transformations dialog box contains the port name, datatype, native type, precision, and scale columns. The tab also contains the transformation name, transformation type, default value, description, SQL query and query description fields.
The SQL transformation has a dynamic SQL query that updates one of the UnitPrice columns and one of the PkgPrice columns in the Prod_Cost table based on the column names it receives in the UnitPrice_Query and the PkgPrice_Query ports.
The SQL transformation has the following query:
Update Prod_Cost set ~UnitPrice_Query~= ?UnitPrice?, ~PkgPrice_Query~ = ?PkgPrice? where ProductId = ?ProductId?;
The SQL transformation substitutes the UnitPrice_Query and PkgPrice_Query string variables with the column names to update.
The SQL transformation binds the ProductId, UnitPrice and PkgPrice parameters in the query with data that it receives in the corresponding ports.
For example, the following source row contains a unit price and a package price for product 100:
100,M,100,110
When the PriceCode is “M,” the prices are manufacturing prices. The Expression transformation passes MUnitprice and MPkgPrice column names to the SQL transformation to update.
The SQL transformation executes the following query:
Update Prod_Cost set MUnitprice = 100, MPkgPrice = 110 where ProductId = ‘100’;
The following source row contains wholesale prices for product 100:
100,W,120,200
The Expression transformation passes WUnitprice and WPkgPrice column names to the SQL transformation. The SQL transformation executes the following query:
Update Prod_Cost set WUnitprice = 120, WPkgPrice = 200 where ProductId = ‘100’;

0 COMMENTS

We’d like to hear from you!