Value Mapper transform Icon Value Mapper

Description

The Value Mapper transform maps string values from one value to another.

Mapping is usually solved by storing the conversion table in a database.

The Value Mapper provides you with a simple alternative.

For example, if you want to replace language codes:

Fieldname to use: LanguageCode
Target fieldname: LanguageDesc
Source/Target: EN/English, FR/French, NL/Dutch, ES/Spanish, DE/German, ...

Supported Engines

Hop Engine

Supported

Spark

Maybe Supported

Flink

Maybe Supported

Dataflow

Maybe Supported

Options

The following properties are used to define the mappings:

Option Description

Transform Name

Name of the transform this name has to be unique in a single pipeline.

Fieldname to use

Field to use as the mapping source

Target field name

Field to use as the mapping Target

Default upon non-matching

Defines a default value for situations where the source value is not empty, but there is no match

Field values table

Contains the mapping of source value to converted target value.

Target field type

Specifies the data type of the mapped (target) values. If not set, the transform falls back to:

- String when writing to a new target field.

- The same type as the source field when overwriting the source field. It fails if the values are incompatible.

Mapping NULL values

If there is an empty source value defined, NULLs and empty strings are mapped to the corresponding target value. Only one empty mapping is allowed.

If the input stream contains NULL values, and no mapping for NULLs is defined, NULL is returned (and not the default target)