Skip to main content
The Alteryx RegEx tool applies regular-expression logic to text fields in order to detect, extract, split, or transform string values. It supports four modes: Match, Parse, Replace, and Tokenize. Prophecy implements this functionality through the Regex gem. The gem supports the same four operation types, with slight differences in output structure and overwrite behavior.

Automated migration results

When Import detects an Alteryx RegEx tool:
  • It generates a Regex gem in Prophecy.
  • The selected Alteryx operation (Match, Parse, Replace, or Tokenize) is mapped directly to the corresponding Regex gem action.
  • The regex pattern is copied exactly, except in a small subset of cases where Alteryx’s regex patterns differ from Prophecy’s regex patterns.
  • Capture groups are expanded into output columns when using Parse.
  • Because Prophecy’s Replace does not overwrite existing columns, in these cases Prophecy adds a downstream Reformat gem to remove replaced columns.

Manually replicate in Prophecy

To reproduce Alteryx RegEx behavior manually:
  1. Add a Regex gem to the canvas.
  2. Select column to parse.
  3. Select the Output strategy that matches the Alteryx configuration:
    • Match
    • Parse
    • Replace
    • Tokenize
  4. Specify regex pattern.
  5. Configure output columns (for Parse, Replace, or Tokenize) as needed.

Configuration options

In Alteryx (RegEx tool)

  1. Select column to parse.
  2. Enter or configure regular expression: Perl-compatible regex pattern.
  3. Choose whether or not to use case-insensitive matching.
  4. Select output method: Match, Parse, Replace, or Tokenize.
  5. For Replace, enter replacement string.
  6. For Parse/Tokenize, configure output fields.

In Prophecy (Regex gem)

  1. Select column to parse
  2. Select output strategy: Match, Parse, Replace, or Tokenize
  3. Enter Regex pattern manually (Prophecy provides common patterns for reference).
  4. Choose whether or not to use case-insensitive matching.
  5. Configure names and options for output columns, depending on output strategy.

Output behavior

  • Alteryx output structure varies by mode.
  • Prophecy always produces a single output dataset with added or expanded columns depending on the selected operation.

Known caveats

  • Boolean vs numeric flags: Match results differ in type (Boolean vs 1/0). To mimic Alteryx behavior, cast to Boolean in a downstream gem.
  • Overwrite behavior: Replace operations append new columns in Prophecy; Alteryx workflows may overwrite fields.
  • Regex entry: Prophecy does not provide a regex builder UI; you enter regex manually using drawing on common reference patterns provided in the gem.
  • Regex engine differences: Alteryx uses Perl Compatible Regular Expressions (PCRE); Prophecy uses Java regular expressions.

Example

Goal: Extract phone-number components from a string like "(212) 555-0199".

Alteryx RegEx tool (Parse)

  1. Choose column with phone number.
  2. Enter or configure regular expression: (\d{3})[)\s-](\d{3})[-](\d{4}).
  3. Choose Parse for Output Method.
Resulting fields: AreaCode, Exchange, Number

Prophecy equivalent (Regex gem)

  1. Select column to parse.
  2. Select Parse for Output strategy.
  3. Enter Regex: (\d{3})[)\s-](\d{3})[-](\d{4}).
Output:
New column nameTypeRegex Expression
area_codeString(\d)
exchangeString(\d)
numberString(\d)