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Flows
This documentation describes how Flows can be run from REST API, listeners, or they can be scheduled.
Nodes
Cache Read and Write
This documentation describes the function and use of the Cache Read and Cache Write nodes.
Cache Write
The Cache Write node writes key/value pairs to the global cache, or to the flow variables based on the scope property
Settings
This documentation describes the settings that are available in the Cache Write node.
Data Format
The format for the incoming and output data. Supported data formats are JSON and Delimited.

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.
    - Cache Read and Cache Write nodes configuration
      This documentation describes how to configure the Cache Read node and the Cache Write node.
    - Cache Read
      The Cache Read node reads key/value pairs from the global cache, or from the flow variables. Optionally, it can delete keys and read from the cache.
    - Cache Write
      The Cache Write node writes key/value pairs to the global cache, or to the flow variables based on the scope property
      - Settings
        This documentation describes the settings that are available in the Cache Write node.
        Cache Scope
        Cache scope determines wither to write values to flow variables or to the cache.
        Data Format
        The format for the incoming and output data. Supported data formats are JSON and Delimited.
        Key Delimiter
        The Key Delimiter is enabled when the Data Format is Delimited.
        Record Delimiter
        The Record Delimiter is the delimiter for the end of each record. The value is read from the Key Delimiter to the Record Delimiter.
        Key Prefix
        Prefix the key values with this value. The property can include flow variables.
      - Node Logging
        When executed, the node reports the keys that are set in the cache.
  - 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.
  - 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.

Data Format

The format for the incoming and output data. Supported data formats are JSON and Delimited.

If the Data Format is delimited, and the delimeters are set to defaults, the example data format is the following:

Key1,Value1\n
Key2,Value2

The record delimiter is an option on the last record.

If the Data Format is a JSON array, for example the following:

[
  {
    "key": "Key1",
    "value": "Value1"
  },
  {
    "key": "Key2",
    "value": "Value2"
  }
]

Key1 value is set to Value1, Key2 value is set to Value2.

If the Data Format is a JSON object, for example:

{ “Key1”:”Value1”, Key2:123 }

Key1 value is set to string “Value1” and Key2 integer value 123 is set to string “123”.

All cache values are stored as strings, but the value provided could be in any format supported by JSON.