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Table of Contents

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  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Aggregator transformation
  6. Expression transformation
  7. Filter transformation
  8. Input transformation
  9. Joiner transformation
  10. Lookup transformation
  11. Mapplet transformation
  12. Normalizer transformation
  13. Output transformation
  14. Rank transformation
  15. Router transformation
  16. Sequence transformation
  17. Sorter transformation
  18. SQL transformation
  19. Union transformation

Transformations

Transformations

Sequence transformation example

Sequence transformation example

The following example shows how you can use the Sequence transformation to generate primary keys.
You are gathering customer data and need to assign customer IDs to each customer. The CustomerData.csv flat file contains your source customer data. You create a mapping that includes the Sequence transformation to create customer IDs, using the following process:
  1. Create a copy of the CustomerData.csv file to use as the target and then add the cust_id field to the file to hold the generated customer ID values. You name the file CustomerData_IDs.csv. The following image shows a sample of the file:
    The target file includes a column for the cust_id field with no values.
  2. Create a connection that has access to the CustomerData.csv and CustomerData_IDs.csv files.
  3. Create a mapping in the Mapping Designer and add a Source transformation to the mapping. You configure the transformation to use the CustomerData.csv file.
  4. Add a Sequence transformation to the mapping.
  5. To generate a simple sequence starting with 1, set the
    Initial Value
    to 1 and the
    Increment By
    value to 1. This configuration starts the sequence at 1 and increments the value by 1, for example, 1, 2, 3.
    You leave the default values for the other properties. The following image shows this configuration:
  6. Add a Target transformation to the mapping and configure the transformation to use the CustomerData_IDs.csv file that you created.
  7. Connect the Source transformation to the Sequence transformation and the Sequence transformation to the Target transformation:
    The mapping canvas shows the Source transformation connected to the Sequence transformation and the Sequence transformation connected to the Target transformation.
  8. In the Target transformation, map the NEXTVAL output field to the cust_id field.
    The Field Mapping tab shows the NEXTVAL output field mapped to the
								cust_id field.
  9. Save the mapping and create a
    mapping
    task in the
    mapping
    task wizard. The
    Current Value
    is 1 because the mapping hasn't been run yet and the
    Initial Value
    is 1.
    The Sequences section in the mapping task detail shows that the current value is 10001 and the Initial Value is 1.
  10. After running the
    mapping
    task, view the
    mapping
    task details. The task details show the current value and the initial value of the sequence.
    The mapping task details show the current value and the initial value for the sequence.
  11. Open the CustomerData_IDs.csv file and note that the cust_id field is populated with a numeric sequence:
    The target CustomerDataIDs.csv file includes a column for the cust_id field which is populated with values generated by the Sequence transformation.

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