DataFlux Data Management Studio 2.6: User Guide

Overview of Process Jobs

A process job combines data processing with conditional processing. The process flow in the job supports logical decisions, looping, events and other features that are not available in a data job flow. Data job nodes can be added to a process flow to encapsulate all of the data processing power of a data job into a node in the process flow.

A number of sample process jobs are included with the DataFlux Sample repository. The next display shows a process job called dfsample_echo that is selected in the Folders tree.

If you right-click a process job in the Folders tree, then select Open, the process job dialog opens, as shown in the next display.

On the left side of the process job dialog, the Nodes tree lists all of the types of nodes that are available for use in a process job. For an overview of all process job nodes, see Process Job Nodes. To see the online help for each node, select it in the Nodes tree, and then click the Help link in the pane at the bottom of the Nodes tree.

On the right side of the dialog, you specify a process flow. In the previous display, the flow goes from a source node (Table of Data), to a node that prepares the source data for further processing (Work Table Reader 1), to a decision node (If Then 1). The decision node sends output to one of two branches. One of these branches is a Data Job node (Data Job 1) that encapsulates a set of data-processing operations within the process job. A process job can include one or more Data Job nodes. Input and output values from the process job nodes appear as macros in the Data Job nodes. In turn, some nodes used in a Data Job node provide data linkage with the process job that contains them.