Table of Contents


  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Cleanse transformation
  7. Data Masking transformation
  8. Data Services transformation
  9. Deduplicate transformation
  10. Expression transformation
  11. Filter transformation
  12. Hierarchy Builder transformation
  13. Hierarchy Parser transformation
  14. Hierarchy Processor transformation
  15. Input transformation
  16. Java transformation
  17. Java transformation API reference
  18. Joiner transformation
  19. Labeler transformation
  20. Lookup transformation
  21. Machine Learning transformation
  22. Mapplet transformation
  23. Normalizer transformation
  24. Output transformation
  25. Parse transformation
  26. Python transformation
  27. Rank transformation
  28. Router transformation
  29. Rule Specification transformation
  30. Sequence Generator transformation
  31. Sorter transformation
  32. SQL transformation
  33. Structure Parser transformation
  34. Transaction Control transformation
  35. Union transformation
  36. Velocity transformation
  37. Verifier transformation
  38. Web Services transformation



Lookup condition

Lookup condition

The lookup condition defines when the lookup returns values from the lookup object. When you configure the lookup condition, you compare the value of one or more fields from the data flow with values in the lookup object.
A lookup condition includes an incoming field from the data flow, a field from the lookup object, and an operator. For flat file and database connections, you can use the following operators in a lookup condition:

    = (Equal to)

    < (Less than)

    > (Greater than)

    <= (Less than or equal to)

    >= (Greater than or equal to)

    != (Not equal to)

For other connections and for Lookup transformations that use a dynamic cache, you can use the = (Equal to) operator in a lookup condition.
Note the following information about lookup conditions:
  • When you enter multiple conditions, the
    task evaluates the lookup conditions using the AND logical operator to join the conditions. It returns rows that match all of the lookup conditions.
  • When you include multiple conditions, to optimize performance enter the conditions in the following order:
    1. = (Equal to)
    2. < (Less than), <= (Less than or equal to), > (Greater than), >= (Greater than or equal to)
    3. != (Not equal to)
  • The lookup condition matches null values. When an input field is NULL, the
    task evaluates the NULL equal to null values in the lookup.
  • In advanced mode, the mapping becomes invalid if the lookup condition contains a binary data type.


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