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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

Lookup Transformation Overview

Lookup Transformation Overview

Use a Lookup transformation in a mapping to look up data in a flat file, relational table, view, or synonym. You can import a lookup definition from any flat file or relational database to which both the
CDI-PC Client
and Integration Service can connect. You can also create a lookup definition from a source qualifier. You can use multiple Lookup transformations in a mapping. The Lookup transformation can be an active or passive transformation. You can configure a connected or unconnected Lookup transformation.
The Integration Service queries the lookup source based on the lookup ports in the transformation and a lookup condition. The Lookup transformation returns the result of the lookup to the target or another transformation. You can configure the Lookup transformation to return a single row or multiple rows.
Perform the following tasks with a Lookup transformation:
  • Get a related value.
    Retrieve a value from the lookup table based on a value in the source. For example, the source has an employee ID. Retrieve the employee name from the lookup table.
  • Get multiple values
    . Retrieve multiple rows from a lookup table. For example, return all employees in a department.
  • Perform a calculation.
    Retrieve a value from a lookup table and use it in a calculation. For example, retrieve a sales tax percentage, calculate a tax, and return the tax to a target.
  • Update slowly changing dimension tables.
    Determine whether rows exist in a target.
Configure the Lookup transformation to perform the following types of lookups:
  • Relational or flat file lookup.
    Perform a lookup on a flat file or a relational table. When you create a Lookup transformation using a relational table as the lookup source, you can connect to the lookup source using ODBC and import the table definition as the structure for the Lookup transformation. When you create a Lookup transformation using a flat file as a lookup source, the Designer invokes the Flat File Wizard.
  • Pipeline lookup.
    Perform a lookup on application sources such as JMS or MSMQ. Drag the source into the mapping and associate the Lookup transformation with the source qualifier. Configure partitions to improve performance when the Integration Service retrieves source data for the lookup cache.
  • Connected or unconnected lookup.
    A connected Lookup transformation receives source data, performs a lookup, and returns data to the pipeline. An unconnected Lookup transformation is not connected to a source or target. A transformation in the pipeline calls the Lookup transformation with a :LKP expression. The unconnected Lookup transformation returns one column to the calling transformation.
  • Cached or uncached lookup.
    Cache the lookup source to improve performance. If you cache the lookup source, you can use a dynamic or static cache. By default, the lookup cache remains static and does not change during the session. With a dynamic cache, the Integration Service inserts or updates rows in the cache. When you cache the target table as the lookup source, you can look up values in the cache to determine if the values exist in the target. The Lookup transformation marks rows to insert or update the target.

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