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Building DataFlow Applications in Java
 
DataFlow Application Life Cycle
DataFlow Operator Library
Composing an Application
Compiling an Application
Executing an Application
Using the DataFlow API
Using External Ports
The following table shows three general ways to build and run DataFlow applications.
Design Time Environment
Run Time Environments
Executable
• Using RushScript (JavaScript with DataFlow extensions)
• Using Eclipse with DataFlow plugin
• CLI using dr command
• Eclipse
JavaScript
• Using Java (Eclipse or any IDE)
• Adding DataFlow .jar files to the class path
JRE
• .java
• .class
• Using KNIME Analytics Platform (desktop)
• Adding DataFlow plugin for KNIME
• KNIME (local or cluster)
• KNIME Server
• Export Actian DataFlow project and then run at CLI using the dr command
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Last modified date: 01/06/2023