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transformations:iteratetable

ITERATE TABLE

Category: Workflow / Internal


Description

This action is similar to Iterate action but allows passing a table to an iterated project. Iterate table has two inputs:

  1. The output of the previous action
  2. The external table passed into the called module/project (referenced in the Action settings)

This action works as follows: It takes a dataset from another table (input #2, above), passes it to the called module or project, and runs it as many times as there are rows in the input dataset (input #1, above).

The iterated module/project should use the Input action to receive the external table.


Use cases

This action is helpful when multiple calculations with different parameters have to be performed on the same dataset (e.g. financial stress testing).


Action settings

SettingDescription
Other tableSelect the table from the current project that will be passed into the called module (or project).
Module/Project to run*Select whether to call a module (within the current project), or an external project (.morph file), then select the
module, or browse to the project file.
Iteration modeChoose whether to just iterate the called module (or project) and not return any results, or iterate and return
a dataset. Options: Iterate or Iterate, append results (and select the Result table from
the called module or project).
Assign parametersSelect the parameter(s) in the called module (or project) to pass values in through, and enter the associated
value(s)* (can be a column, text/number, or parameter).

* Setting can be specified using a parameter.


Remarks

This action provides significantly increased performance in cases when the iterated project needs to operate with the same dataset in each iteration.


Examples

Mode: Iterate — do not return anything from the iterated module, i.e. just run it one or several times. (top image, below)
Mode: Iterate and append results — run the module one or several times, return a table (the result dataset) from each iteration, and append all result datasets into one, which becomes the output of the "Iterate table" action. (bottom image, above)


Community examples


See also

transformations/iteratetable.txt · Last modified: 2021/07/17 15:58 by craigt

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