The workflow demonstrates how to call another remote workflow on a KNIME Server. The workflow parameters are passed as a JSON-object.
The workflow demonstrates how to call another local workflow. The workflow parameters are passed as a JSON-object.
Demonstration of how to pass parameters and execute a workflow on the KNIME Server via a workflow-provided REST-endpoint. The workflow is called via a POST-request with the required parameters as a JSON-object in the request-body. The the server's REST API for more details.
Here we demo how to use the Call Workflow (Table Based) node in order to call a workflow residing on a KNIME server.
Here we demo how to use the Call Workflow (Table Based) node, which can execute another workflow on the same machine (locally or on the server). This, e.g. helps to use functionality that other workflows provide and modularize workflows in general.
This workflow demonstrates how to use the Call Workflow (Table Based) node in order to run multiple instances of another workflow in parallel. The called workflow performs a prediction task. The read data set is scored via a previously built model in the workflow that is called.
This example shows how to orchestrate the fault tolerant execution of multiple local KNIME Workflows. All Workflows in the batch are repeatedly executed until they succeed or reach a user-defined maximum number of fails.