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

Normalizer Tab

Normalizer Tab

The Normalizer tab defines the structure of the source data. The Normalizer tab defines source data as columns and groups of columns. A group of columns might define a record in a COBOL source or it might define a group of multiple-occurring fields in the source.
The column level number identifies groups of columns in the data. Level numbers define a data hierarchy. Columns in a group have the same level number and display sequentially below a group-level column. A group-level column has a lower level number, and it contains no data.
The following figure shows the Normalizer tab of a pipeline Normalizer transformation:
Normalizer Tab
The Normalizer tab in the Edit Transformations dialog box contains the column name, level, occurs, datatype, precision, and scale columns. The tab also contains the Select transformation and Description fields.
Quarterly_Data is a group-level column. It is Level 1. The Quarterly_Data group occurs four times in each row. Sales_by_Quarter and Returns_by_Quarter are Level 2 columns and belong to the group.
Each column has an Occurs attribute. The Occurs attribute identifies columns or groups of columns that occur more than once in a source row.
When you create a pipeline Normalizer transformation, you can edit the columns. When you create a VSAM Normalizer transformation, the Normalizer tab is read-only.
The following table describes the Normalizer tab attributes that are common to the VSAM and pipeline Normalizer transformations:
Attribute
Description
Column Name
Name of the source column.
Level
Group columns. Columns in the same group occur beneath a column with a lower level number. When each column is the same level, the transformation contains no column groups.
Occurs
The number of instances of a column or group of columns in the source row.
Datatype
The transformation column datatype can be String, Nstring, or Number.
Prec
Precision. Length of the column.
Scale
Number of decimal positions for a numeric column.
The Normalizer tab for a VSAM Normalizer transformation contains the same attributes as the pipeline Normalizer transformation, but it includes attributes unique to a COBOL source definition.

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