Row denormaliser

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Last updated: Aug 13, 2021 by Virginia Agnew

(warning) PLEASE NOTE: This documentation applies to an earlier version. For the most recent documentation, visit the Pentaho Enterprise Edition documentation site.

Description

The De-normalizer step allows you de-normalize data by looking up key-value pairs. It also allows you to immediately convert data types.

Options

Option

Description

Step name

Name of the step; this name has to be unique in a single transformation.

Key field

The field that defined the key of the output row.

Group fields

Specify the fields that make up the grouping here.

Target fields

Select the fields to de-normalize by specifying the String value for the key field (see above).
Options are provided to convert data types.
Strings are most common as key-value pairs so you must often convert to Integer, Number or Date.
If you get key-value pair collisions (key is not unique for the group specified) specify the aggregation method to use.

Metadata Injection Support

You can use the Metadata Injection supported fields with ETL Metadata Injection step to pass metadata to your transformation at runtime. The following Value fields of the Row Denormaliser step support metadata injection:

  • Target Filename, Value Fieldname, Key Value, Type, Format, Length, Precision, Currency, Decimal, Group, and Aggregation

Example

CustomerId

Key

Value

101

COUSINS_FIRST_NAME

Mary

101

COUSINS_SECOND_NAME

J.

101

COUSINS_LAST_NAME

Blige

101

COUSINS_BIRTH_DATE

1969/02/14

101

COUSINS_INCOME

1723.86

101

...45 more keys...

...