Append
From Clariopedia
Contents |
Overview
The clario® node Append is used to set two data streams with identical attributes together. For example append can be used to ‘stack’ two data streams retaining the same attributes and file layout and adding additional rows of data.
Usage
Input Stream
The node connector can be connected to a variety of nodes, (ie. Read, Aggregate, Outliers, Missing, etc.), but requires two valid streams of data with the same attributes, formats, and layout.
Configuration
The Append node has only one configuration face.Configuration Face
There is no interaction required from you on the configuration node face for Append.
The ‘Top Connector’ list box displays the input data stream attributes for the data source connected to the top input node link connector. The ‘Bottom Connector’ list box displays the input data stream attributes for the data source connected to the bottom input node link connector. You should also visually inspect that the two data sources contain the same attributes. That is, you should verify that both data streams contain attributes with the same name, same type, and appear in the data stream in the same order. By checking the ‘Scroll Lists Together’ box on the bottom of the configuration face, you can easily check that all the attributes are the same for both data streams as you scroll down the two lists simultaneously.
NOTE: The ‘Top Connector’ data stream definition will be used to define the output data stream metadata that is passed on to subsequent nodes.
Field Definitions
- Valid Inputs – You must link from two valid data streams (ie. Read, Missing, Outliers, etc.).
- The Append node requires attributes from each data stream to have matching attribute name, type, and number of attributes.
Results
There is no results face for the Append node. It is assumed the Append node will be connected to another node to reduce variables, model, or otherwise analyze the newly expanded dataset.
Output Stream
The new ‘Appended’ dataset is ready for immediate use in various nodes located throughout clario. The data can be exported using the Write node and can then be used again by using the Read node.
