Table of Contents

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

Transformations

Transformations

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
    mapping
    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
    mapping
    task evaluates the NULL equal to null values in the lookup.
  • An
    elastic mapping
    becomes invalid if the lookup condition contains a binary data type.