Injector

Description

The Injector transform is used for special purpose pipelines where you want to 'inject' rows into the pipeline using the Hop API and Java, or from streaming input transforms like the Kafka Consumer transform.

Among other things you can build 'headless' pipelines with it: pipelines that have no input at design time: do not read from file or database.

Supported Engines

Hop Engine

Supported

Single Threaded

Supported

Native Spark

Not Supported

Beam Spark

Not Supported

Beam Flink

Not Supported

Beam Dataflow

Not Supported

Options

Option	Description
Transform name	Name of the transform.
Fieldname	Specify the field name of the rows to inject.
Type	Specify the type of data.
Length	For Number: Total number of significant figures in a number; For String: total length of string; For Date: length of printed output of the string.
Precision	For Number: Number of floating point digits; For String, Date, Boolean: unused.

Option

Description

Transform name

Name of the transform.

Fieldname

Specify the field name of the rows to inject.

Type

Specify the type of data.

Length

For Number: Total number of significant figures in a number; For String: total length of string; For Date: length of printed output of the string.

Precision

For Number: Number of floating point digits; For String, Date, Boolean: unused.