Generating a regular expression from the Date Pattern Frequency indicator - Cloud - 8.0

Talend Studio User Guide

Talend Big Data
Talend Big Data Platform
Talend Cloud
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Real-Time Big Data Platform
Talend Studio
Design and Development
Last publication date
Available in...

Big Data Platform

Cloud API Services Platform

Cloud Big Data Platform

Cloud Data Fabric

Cloud Data Management Platform

Data Fabric

Data Management Platform

Data Services Platform

MDM Platform

Real-Time Big Data Platform

You can generate a regular pattern from the results of an analysis that uses the Date Pattern Frequency indicator on a date column.

Before you begin

In the Profiling perspective of Talend Studio, a column analysis is created on a date column using the Date Pattern Frequency indicator.
Note: To be able to use the Date Pattern Frequency indicator on date columns, you must set the execution engine to Java in the Analysis Parameter view of the column analysis editor. For more information on execution engines, see Using the Java or the SQL engine.

For more information on how to create a column analysis, see Creating a basic analysis on a database column.


  1. In the DQ Repository tree view, right-click the column analysis that uses the date indicator on a date column.
  2. Select Open from the contextual menu to open the corresponding analysis editor.
    Overview of the Analysis Metadata and Analyzed Columns sections.
  3. Press F6 to execute the analysis and display the analysis results in the Analysis Results section of the editor.
    Table and graphic for Date Pattern Frequency Statistics.
    In this example, 100.00% of the date values follow the pattern yyyy MM dd and 39.41% follow the pattern yyyy dd MM.
  4. Right-click the date value for which you want to generate a regular expression and select Generate Regex Pattern from the contextual menu.
    The New Regex Pattern dialog box is displayed.
  5. Click Next.
    The date regular expression is already defined in the corresponding field. In this example:'(A9|20)[0-9{2}(-|/|)([0-0][1-9]|10|11|12)(-|/|)[0-3][0-9]$'.
  6. Click Finish to proceed to the next step.

    The pattern editor opens with the defined metadata and the generated pattern definition.

    Overview of the Pattern Metadata and Pattern Definition sections.
    The new regular expression is listed under Pattern > Regex in the DQ Repository tree view. You can drag it onto any date column in the analysis editor.
  7. Optional: Click the Test button to test a character sequence against this date regular expression as outlined in Testing a regular expression in the Pattern Test View.