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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

Source Qualifier Transformation Properties

Source Qualifier Transformation Properties

Configure the following Source Qualifier transformation properties on the Properties tab:
Option
Description
SQL Query
Defines a custom query that replaces the default query the Integration Service uses to read data from sources represented in this Source Qualifier transformation. A custom query overrides entries for a custom join or a source filter.
User-Defined Join
Specifies the condition used to join data from multiple sources represented in the same Source Qualifier transformation.
Source Filter
Specifies the filter condition the Integration Service applies when querying rows.
Number of Sorted Ports
Indicates the number of columns used when sorting rows queried from relational sources. If you select this option, the Integration Service adds an ORDER BY to the default query when it reads source rows. The ORDER BY includes the number of ports specified, starting from the top of the transformation.
When selected, the database sort order must match the session sort order.
Tracing Level
Sets the amount of detail included in the session log when you run a session containing this transformation.
Select Distinct
Specifies if you want to select only unique rows. The Integration Service includes a SELECT DISTINCT statement if you choose this option.
Pre-SQL
Pre-session SQL commands to run against the source database before the Integration Service reads the source.
Post-SQL
Post-session SQL commands to run against the source database after the Integration Service writes to the target.
Output is Deterministic
Relational source or transformation output that does not change between session runs when the input data is consistent between runs. When you configure this property, the Integration Service does not stage source data for recovery if transformations in the pipeline always produce repeatable data.
Output is Repeatable
Relational source or transformation output that is in the same order between session runs when the order of the input data is consistent. When output is deterministic and output is repeatable, the Integration Service does not stage source data for recovery.
If you configure a transformation as repeatable and deterministic, it is your responsibility to ensure that the data is repeatable and deterministic. If you try to recover a session with transformations that do not produce the same data between the session and the recovery, the recovery process can result in corrupted data.

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