Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Aggregator Transformation
  4. Custom Transformation
  5. Custom Transformation Functions
  6. Data Masking Transformation
  7. Data Masking Examples
  8. Expression Transformation
  9. External Procedure Transformation
  10. Filter Transformation
  11. HTTP Transformation
  12. Identity Resolution Transformation
  13. Java Transformation
  14. Java Transformation API Reference
  15. Java Expressions
  16. Java Transformation Example
  17. Joiner Transformation
  18. Lookup Transformation
  19. Lookup Caches
  20. Dynamic Lookup Cache
  21. Normalizer Transformation
  22. Rank Transformation
  23. Router Transformation
  24. Sequence Generator Transformation
  25. Sorter Transformation
  26. Source Qualifier Transformation
  27. SQL Transformation
  28. Using the SQL Transformation in a Mapping
  29. Stored Procedure Transformation
  30. Transaction Control Transformation
  31. Union Transformation
  32. Unstructured Data Transformation
  33. Update Strategy Transformation
  34. XML Transformations

Transformation Guide

Transformation Guide

Store Values Across Rows

Store Values Across Rows

You can configure variables in transformations to store data from source rows. You can use the variables in transformation expressions.
For example, a source file contains the following rows:
California California California Hawaii Hawaii New Mexico New Mexico New Mexico
Each row contains a state. You need to count the number of rows and return the row count for each state:
California,3 Hawaii ,2 New Mexico,3
You can configure an Aggregator transformation to group the source rows by state and count the number of rows in each group. Configure a variable in the Aggregator transformation to store the row count. Define another variable to store the state name from the previous row.
The Aggregator transformation has the following ports:
Port
Port Type
Expression
Description
State
Pass-through
n/a
The name of a state. The source rows are grouped by the state name. The Aggregator transformation returns one row for each state.
State_Count
Variable
IIF (PREVIOUS_STATE = STATE, STATE_COUNT +1, 1)
The row count for the current State. When the value of the current State column is the same as the Previous_State column, the Integration Service increments State_Count. Otherwise, it resets the State_Count to 1.
Previous_State
Variable
State
The value of the State column in the previous row. When the Integration Service processes a row, it moves the State value to Previous_State.
State_Counter
Output
State_Count
The number of rows the Aggregator transformation processed for a state. The Integration Service returns State_Counter once for each state.

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