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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

Output Values

Output Values

The Integration Service flags the rows in the Lookup transformation based on the inserts and updates it performs on the dynamic cache. These rows pass through an Expression transformation to a Router transformation that filters and passes on the inserted and updated rows to an Update Strategy transformation. The Update Strategy transformation flags the rows based on the value of the NewLookupRow port.
The output values of the lookup/output and
input/output
output
ports depend on whether you choose to output old or new values when the Integration Service updates a row. However, the output values of the NewLookupRow port and any lookup/output port that uses the sequence ID is the same for new and updated rows.
When you choose to output new values, the lookup/output ports output the following values:
NewLookupRow
PK_PRIMARYKEY
CUST_ID
CUST_NAME
ADDRESS
2
100001
80001
Marion Atkins
100 Main St.
2
100002
80002
Laura Gomez
510 Broadway Ave.
1
100004
99001
Jon Freeman
555 6th Ave.
When you choose to output old values, the lookup/output ports output the following values:
NewLookupRow
PK_PRIMARYKEY
CUST_ID
CUST_NAME
ADDRESS
2
100001
80001
Marion James
100 Main St.
2
100002
80002
Laura Jones
510 Broadway Ave.
1
100004
99001
Jon Freeman
555 6th Ave.
When the Integration Service updates rows in the lookup cache it uses the primary key (PK_PRIMARYKEY) values for rows in the cache and the target table.
The Integration Service uses the sequence ID to generate a primary key for the customer that it does not find in the cache. The Integration Service inserts the primary key value into the lookup cache and it returns the value to the lookup/output port.
The Integration Service output values from the
input/output
output
ports that match the input values.
If the input value is NULL and you select the Ignore Null property for the associated input port, the input value does not equal the lookup value or the value out of the
input/output
output
port. When you select the Ignore Null property, the lookup cache and the target table might become unsynchronized if you pass null values to the target. You must verify that you do not pass null values to the target.

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