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Concepts → Business Schema View Formula Column

About a business schema view formula column

For a Business Schema View, you can create an expression for a formula column using the Formula Builder. A formula expression has certain capabilities and limitations in a business schema view.

Using the Business Schema Designer, you can create a business schema view formula column by dragging and dropping New Formula from the Data panel into the canvas of the business schema view. These actions add a new business schema view formula column to the business schema view. From here, you can edit the properties of the business schema view formula column.

Properties of a business schema view formula column

Here are the properties of a formula column in a business schema view:

Property Control Description Configuration
Name text box Enter the formula column’s name; used in the fully qualified name of the column Valid characters: A-Z, a-z, 0-9, $, _
Name must begin with a letter character
Label text box Enter a user friendly name utf-8 md valid characters, including emoji 😀
Description read only Additional information for column, observable in the column details of the Analyzer utf-8 md valid characters, including emoji 😀
Function drop down list Select the Incorta Function of the column Dimension or Measure
Set/Change Formula Formula Builder Create or edit a formula expression. See Formula Builder
Note

A formula column that functions as a dimension will not appear in the list of runtime dashboard filters.

Business schema view formula column expressions

A formula expression returns a scalar value or array of values. These values are of a specific type. A formula expression can consist of:

  • referenced columns
  • built-in functions
  • variable

Referenceable columns in a business schema view formula column expression

A referenced column has a fully qualified name. Here are the possible types of referenceable columns in a business schema view formula column expression:

Reference Source Reference Type Referenceable Note
Physcial_Schema.Table.Column Data-backed Yes
Physcial_Schema.Incorta_Analyzer_Table.Column Data-backed Yes
Physcial_Schema.Incorta_Analyzer_Table.Formula_Column Data-backed formula Yes
Business_Schema.View.Column Data-backed Yes
Business_Schema.View.Formula_Column Runtime formula Yes
Business_Schema.Incorta_View.Column Data-backed No Validation possible in the Formula Builder.
Runtime error in the Analyzer (Explore Data)
Business_Schema.Incorta_View.Formula_Column Runtime formula No Validation possible in the Formula Builder.
Runtime error in the Analyzer (Explore Data)
Note

Data-backed references data that persists to Shared Storage.

Supported built-in functions

A formula column in a business schema view can use the following built-in functions in a formula expression:

Function Type Description Examples
Aggregation Functions that accumulate data to a summary value average, count, distinct, max, median, min, or sum
Boolean Functions that evaluate to True or False and, between, contains, endsWith, in, inList, isNan, isNull, like, not, or, startsWith
Conditional Statement Statements that return a value based on the evaluation of a parameter case, decode, and if
Conversion Functions that convert the Incorta Data Type of a parameter. In addition, functions that manipulate Timestamp and Date values for different return values. day, double, monthName, parseDouble, string, toChar, and year
Filter Functions that specify a subset of data items firstVersion or lastVersion
Miscellaneous Functions with assorted uses descendantOf, lookup, rowNumber, and schemaRefreshTime
Arithmetic Functions that take one or more values and return a single value abs, ceil, exp, floor, max, min, mod, rnd, round, sqrt, and trunc
Date Functions that manipulate Timestamp and Date values addDays, date, month, removeTime, weekday, and year
String Functions that return string values or return values based on string parameters bin, concat, find, ifNull, repeat, rTrim, and upper
Analytic Functions that compute values over a group of rows and returns a single result for each row denseRank, index, or rank

Variable references in formula expressions

In the Formula Builder, in the Functions and Variables panel, certain variables are referenceable in the formula expression. Some types of variables all users have access to and other kinds of variables are subject to Discretionary Access Control (DAC).

Here are the various categories of variables:

  • System Variables: Predefined variables within Incorta that return a value as a defined type.
  • External Session Variables: Variables that query an external data source when invoked. Values returned as string.
  • Internal Session Variables: Variables that query data within a schema. Values returned as string.
  • Global Variables: A static variable available to all tenant users that return a value as a defined type.

Formula expressions in a business schema view formula column can reference the following variables:

Variable Type Referenceable Note
System Variable Yes
External Session Variable Yes
Internal Session Variable Yes
Global Variable No Not supported in 4.9 or earlier releases

Additional Considerations

There are additional considerations for a business schema view formula column in:

  • the Analyzer
  • an Insight

Business schema view formula columns in the Analyzer

When using the Analyzer, you can select and inspect business view columns in the Data panel. For a given column, select the Information icon in the right gutter. The Information dialog shows the:

  • Column Name
  • Source Column/Formula
  • Data Type
  • Function
  • Description
  • Sample Data
Note

The Information dialog shows the formula expression.

Business schema view formula columns in an Insight

A business schema view formula column in an Insight will enforce a defined aggregation in the formula expression. This means that a user cannot override the aggregation for the business schema view formula column in the Analyzer.

You can use a business schema view formula column as an applicable filter for an insight, including Individual, Distinct, and Aggregated filters.


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