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Flows
This documentation describes how Flows can be run from REST API, listeners, or they can be scheduled.
Nodes
Format Converter
The Format Converter Node can be used to quickly convert data from one format to another.

Flows
This documentation describes how Flows can be run from REST API, listeners, or they can be scheduled.
- Nodes
  - Maps
    A map node invokes a LNK map within a flow.
  - Flow
    A flow node invokes a sub flow within a flow. Sub-flows need not be wired to other nodes; it is valid to have a flow that is comprised of multiple sub-flows that each have listeners.
  - Source and Target
    Source and Target nodes provide Link with an outside-in approach to developing integrations. The inside-out approach means that you begin with a map, add inputs and outputs, and then configure these to access resources. Connections might be created in the process. The outside-in approach implements the integration from the opposite direction. You begin with the outside interfaces, then connects them to provide maps and other artifacts.
  - Cache Read and Write
    This documentation describes the function and use of the Cache Read and Cache Write nodes.
  - Clone
    The Clone node has one input and two output terminals. This node clones, or copies the input data from the single input terminal to both output terminals.
  - Decision
  - Fail
    Fails the flow execution.
  - Format Converter
    The Format Converter Node can be used to quickly convert data from one format to another.
    - Converting from XML to CSV or Delimited
      When converting from XML to CSV or delimited, the XML elements to convert to CSV are selected by an XPath expression.
    - Using the Format Converter node
      These instructions describe how to use the Format Converter node in a flow.
  - JAVA
    Invokes a java class, performing user defined functionality based on the properties specified for the java class to act on the input.
  - Join
    The Join node gathers the individual results and appends to a single output file or terminal.
  - Log
    This node logs the raw data from the node input into the file and propagates the data from the input to the output terminal.
  - REST Client
    The REST Client flow node provides a simple and powerful way to access REST services. It can be used to directly invoke REST APIs or can use prebuilt configurations that define the APIs of the service. The node supports:
  - Route
    The Route node provides a way to route data conditionally to one or more outputs of the node. The node bases decisions by evaluating a condition for a flow variable and determining whether to send the data to output 1 or 2 or both, based on the result of the condition.
  - Sleep
    This node suspends the execution of the flow for the specified number of milliseconds
  - Split
    A Split node should be used when there is a need to split csv data processing. This might occur when csv data processing becomes excessively time consuming. Such time-consuming behavior might occur when you send big csv data to the flow input terminal or it might become memory intense when complex data validation is being performed. The Split node can be used with these, and with other data processing tasks that can be done in parallel.
- Terminals
- Flow terminals
- Scheduled flows
- Listener
  A Flow that has a Map node as its first node, and uses a File adapter for an input, can enable that node's input to be a Watch.
- Flow audits
  Flow audits are a way to retrieve more verbose information about a flow instance.
- Flow variables
  Flow Variables are process data variables that go along with the flow execution, accessible to all nodes in the flow while it is being executed under flow executor/engine context.

Format Converter

The Format Converter Node can be used to quickly convert data from one format to another.

The Format Converter supports these formats:

CSV
Delimited
JSON
XML

When converting from JSON or XML to CSV or delimited there are limitations because CSV data is flat and cannot convey the hierarchical structures that may be in the JSON or XML documents.

When converting from JSON to CSV or delimited the location of an array of objects is provided to the node by using the Input Array Path property. The node looks at the first element of the array to determine the set of fields that are included in the output CSV. This assumes that each object within the array has the same set of fields. If subsequent objects have more fields that the first node, these additional fields are ignored.

For example, given the JSON:

{
    "addresses": [
        {
            "street": "10 Main St",
            "city": "Smallville",
            "state": "GA"
        },
        {
            "street": "20 High St",
            "city": "Springville",
            "zip": "12345"
        }
    ]
}

The generated CSV is as shown:

street,city,state
10 Main St,Smallville,GA
20 High St,Springville,

Since the second object does not contain a state key, that value is null. Additionally, although the second record contains a zip key, that is ignored because the fields are determined from the first object.