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Regular expressions

Regular expression is a powerful way to filter data in reports or calculated measures and members using name patterns.

Regular expressions to filter report rows

In the report, when you click on a report column with text data (e.g., company or person name, list or tags or labels, etc.) and select Filter rows→ matches and not matches, then you can enter a regular expression that will be used to filter report rows.

Simple match

A simple regular expression is a fragment of a text that you want to match.

Regular expression John will match John Smith or Peter Johnson.

Beginning or end of string

Use ^ to indicate beginning of the string or $ to indicate end of the string.

Regular expression ^John will match John Smith but will not match Peter Johnson.

Regular expression Smith$ will match John Smith but will not match Smith John.

Alternatives

Use | to separate alternate matching options.

Regular expression John|Peter will match both John Smith and Peter Jackson.

Grouping

Use parenthesis ( and ) to specify subexpression.

Regular expression gr(a|e)y is the same as gray|grey and will match both gray and grey.

Repeating elements

? indicates there is zero or one of the preceding element. For example, colou?r matches both color and colour.

* indicates there is zero or more of the preceding element. For example, ab*c matches acabcabbcabbbc, and so on.

+ indicates there is one or more of the preceding element. For example, ab+c matches abcabbcabbbc, and so on, but not ac.

. indicates any character. For example, not matches . will match all empty, while matches . will match all non-empty strings.

Case insensitive matching

Use (?i) to specify case insensitive matching.

For example, (?i)john will match JohnJOHN, and john.

Regular expressions in calculated members

Regular expressions may also be used when creating calculated members with Filter function and MATCHES operand. In this situation, the complete expression should be more precise: including the beginning and the end of string regular expressions are mandatory. 

For example, filter fix version by name:

  • To return all versions which ends with "hotfix" syntax for expression '.*hotfix$'
  • To return all versions which starts with "hotfix" syntax for expression '^hotfix.*'
  • To return all versions which contains "hotfix" syntax for expression '.*hotfix.*'

Read more about available regular expression elements usable for MDX calculations in Java regular expressions.