Centralized business rules are custom data validation business attached directly to a table rather than being defined in a particular pipeline or data entry form.

When business rules are attached to a table rather than a pipeline or a form, they are always applied when the table is being updated regardless of how data enters the table.

In this way it is not necessary to repeat the same validation rules for the same fields in a pipeline or in a form.

At the moment, the supported rules are the following:

  • TestValueInRange
  • TestNotEmpty
  • TestColumnsExist
  • TestPattern

Here is a quick description of the rules as they appear in the script guide

TestValueInRange: Checks that a value is above, below or within a certain range of limits.

TestNotEmpty: Tests for the existence of required values. It is possible to configure whether whitespace is considered empty or not.

TestColumnsExist: Verifies that a list of columns exists in the data being loaded.

TestPattern: Verifies that a value matches a regular expression pattern

Locating the Centralised Business Rules

In order to use the Centralized Business Rules feature, you need to simply:

  • Navigate to your mart
  • Open the model page
  • Select a table
  • Click on the validation rules option
  • Choose the validation rule you wish to use

Image showing the navigation to the Validation Rules

Rules Types

All validation commands share the following properties Column, Tag, Impact, Message if invalid and Context Columns.

Property Description
Column It’s a required field, where you need to specify, using the drop down list, the column for which the rule will be implemented
Tag Appears as a menu item in the issues summary to the data uploader, to group issues in a meaningful way.
Impact The impact of failed validation. Possible values:
  - Warning, raises a warning but no change made to data
  - Error_RemoveValue, value replaced by NULL.
  - Error_RemoveRow, record not uploaded.
  - Error_RemoveColumn, column removed.
  - Error_RemoveTable, entire table not uploaded
Message if invalid You may specify an informative message to give feedback to the users. Can contain {0} to be replaced by the invalid value.
Context Columns If an error occurs, controls which columns are displayed to the user.

Let’s have an overview on how the rules are set. For each of the rules there are some rule type specific properties.

TestValueInRange

Low/High Limit: First you need to specify if either of the limits of the range will be a literal value or Compared to Column and afterwards you may specify the values for both low and high limits. You may also use ${Now.DateUtc} to set the literal value to today’s date.

Inclusive: Set the value to true or false

Image showing the options for Test Value in Range

TestNotEmpty

Mode: There is a drop down list from where you may choose between Nulls, Null or Empty and Null or Whitespace which is the default option.

TestColumnsExist

Image showing the options for Test Columns Exist

TestPattern

Pattern: Regular expression pattern that is matched against each value in the column

Image showing the options for Test Pattern

Setting a rule example

Here is an example of setting a Test Value in Range rule on a table column.

Image showing the screen for setting a TestValueInRange rule with data

Once you have completed building the rules according to your needs, you may click on the “Show XML” button, to preview the code that is created.

Image showing the XML equivalent of the rule

Running/testing the rules

Use the Run button to run the rules against a portion or the entirety of a table, without having to create any batches. Next to the RUN button you may specify the number of rows for which the rule will be applied in order to check how it works.

Image showing the run rules button

Below is the output of the above example. By clicking the green button on the right you have the option to download the results to excel.

Image showing issues arising from the test

Batch preview

Let’s see also how the batch preview looks like from a data uploader’s perspective, after implementing a centralized rule. For this example we performed a standard upload, meaning, we uploaded a file directly to the table using the upload function on the data page. So there are no custom pipelines involved or any other custom validations.

Here is how the issues tab looks:

Image showing the issues raised in the batch

How it works - view pipeline xml

If you are curious, it works by embedding the centralized validation rules into whatever pipeline is running (there is always a pipeline involved, even for UI edits and data entry forms). You can see the final generated pipeline for any batch by clicking the Pipeline XML tab on the batch preview page.

Image showing the location of the pipeline xml tab

Here is a small section of generated pipeline xml from the batch preview page, where our rule above is highlighted.

Image showing how the Validation XML was injected into the pipeline