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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

Informatica Join Syntax

Informatica Join Syntax

When you enter join syntax, use the Informatica or database-specific join syntax. When you use the Informatica join syntax, the Integration Service translates the syntax and passes it to the source database during the session.
Always use database-specific syntax for join conditions.
When you use Informatica join syntax, enclose the entire join statement in braces ({Informatica syntax}). When you use database syntax, enter syntax supported by the source database without braces.
When using Informatica join syntax, use table names to prefix column names. For example, if you have a column named FIRST_NAME in the REG_CUSTOMER table, enter “REG_CUSTOMER.FIRST_NAME” in the join syntax. Also, when using an alias for a table name, use the alias within the Informatica join syntax to ensure the Integration Service recognizes the alias.
The following table lists the join syntax you can enter, in different locations for different Source Qualifier transformations, when you create an outer join:
Transformation
Transformation Setting
Description
Source Qualifier Transformation
User-Defined Join
Create a join override. The Integration Service appends the join override to the WHERE or FROM clause of the default query.
Source Qualifier Transformation
SQL Query
Enter join syntax immediately after the WHERE in the default query.
Application Source Qualifier Transformation
Join Override
Create a join override. The Integration Service appends the join override to the WHERE clause of the default query.
Application Source Qualifier Transformation
Extract Override
Enter join syntax immediately after the WHERE in the default query.
You can combine left outer and right outer joins with normal joins in a single source qualifier. Use multiple normal joins and multiple left outer joins.
When you combine joins, enter them in the following order:
  1. Normal
  2. Left outer
  3. Right outer
Some databases limit you to using one right outer join.

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