Skip to main content Skip to complementary content

Validating data using tDQRules

The Job in this scenario uses the tDQRules component to validate data using a validation rule from Qlik Talend Data Integration. This component is available from Talend Studio 8.0 R2025-06.

The Job uses the following rule:
Configuration of the validation rule.

Setting up the Job

Procedure

  1. Drop the following components from the Palette onto the design workspace: tFixedFlowInput, tDQRules, and three tLogRow components.
  2. Using a Main link, connect tFixedFlowInput to tDQRules
  3. Using the Flow link, connect tDQRules to a tLogRow.
  4. Using the Not_Applicable link, connect tDQRules to another tLogRow.
  5. Using the Reject link, connect tDQRules to the last tLogRow.
    A 5-component Job to validate data using the tDQRules component.

Configuring the tFixedFlowInput component

Procedure

  1. Double-click tFixedFlowInput to open its Basic settings view.
  2. Select Built-In as Schema and click […] next to Edit schema.
  3. To add columns, click Add icon and click OK.
    Schema of the tFixedFlowInput component.
  4. Select Use Inline Content (delimited file).
  5. Enter your data. In this example:
    Mendoza,Patricia,39,true,44,AB-,Nantes,44000
    Larsen,Sheri,37,true,10,B+,Rennes,35000
    Dupont,Megan,95,false,27,O+,Marseille,13000
    Oconnor,Emily,78,false,50,A-,Nice,06000
    Plisson,Joseph,60,true,5,O-,Perpignan,66000
    Clark,Kirsten,18,true,0,B+,Angers,49000
    Lapointe,Jason,40,true,2,A+,Paris,75100
    Park,Traci,28,true,28,B-,Nantes,14000
    Rodriguez,Glenn,55,false,29,B+,Rouen,76000

Configuring the tDQRules component

Before you begin

About this task

To retrieve the rules, you need:
  • The access to the space in which the rule is stored.
  • The Rules - View permission.

Procedure

  1. Select Built-in as Property Type and Schema.
  2. To retrieve the schema from the input component, click Sync columns.
  3. Enter the URL to Qlik Talend Data Integration. For example: http://qcs.us.qlikcloud.com/.
  4. To enter your API key, click [...].
  5. To retrieve the rule, click Fetch rules. The Rule library timestamp field is filled in.
    When you click Fetch rules, a JAR file containing the rule definition is created in:
    studio-path\configuration\.m2\repository\org\talend\libraries\rule-number
    When you update the rule in Qlik Talend Data Integration, click Fetch rules to retrieve the latest version.
  6. To select the rule, click [...] next to Rule name.
    When no rules or input columns are available, verify that:
    • The rules have been retrieved in Rule library timestamp.
    • The input schema is correct.
  7. Select the rule and click OK to close the window. You can select one rule only.
  8. Click Refresh table.
  9. Associate the rules variables to the input columns.
    Configuration window to associate the variables.
    You can associate the data types from Talend Studio with some data types from Qlik Talend Data Integration. For more information, see The operators available in Qlik Talend Data Integration.

Configuring the tLogRow components

Procedure

  1. Double-click the tLogRow components to open their Basic settings view.
  2. Select Built-in as Schema and click Sync columns.
  3. In the Mode area, select Table (print values in cells of a table).
    Configuration of the tLogRow components.

Saving and executing the Job

Procedure

Press F6 to save and execute the Job.

Results

The tLogRow from the Flow link returns the givers whose blood group is available and ends with + or -, and who are 18 up to 70 years old.
|=-------+---------+---+-----+-----------+----------+---------+---------=|
|Name    |FirstName|Age|Giver|NbrDonation|BloodGroup|City     |PostalCode|
|=-------+---------+---+-----+-----------+----------+---------+---------=|
|Mendoza |Patricia |39 |true |44         |AB-       |Nantes   |44000     |
|Larsen  |Sheri    |37 |true |10         |B+        |Rennes   |35000     |
|Plisson |Joseph   |60 |true |5          |O-        |Perpignan|66000     |
|Clark   |Kirsten  |18 |true |0          |B+        |Angers   |49000     |
|Lapointe|Jason    |40 |true |2          |A+        |Paris    |75100     |
|Park    |Traci    |28 |true |28         |B-        |Nantes   |14000     |
The tLogRow from the Not_Applicable link returns the givers whose data cannot be validated by the condition requirement. For example: The blood group does not end with + or -, or the givers are too young or too old.
|=------+---------+---+-----+-----------+----------+---------+---------=|
|Name   |FirstName|Age|Giver|NbrDonation|BloodGroup|City     |PostalCode|
|=------+---------+---+-----+-----------+----------+---------+---------=|
|Doe    |John     |25 |true |44         |O         |Grenoble |68000     |
|Dupont |Megan    |95 |false|27         |O+        |Marseille|13000     |
|Oconnor|Emily    |16 |false|50         |A-        |Nice     |6000      |
The tLogRow from the Reject link returns the givers who should be marked as givers (true) because they fulfilled each condition requirement but they are marked as false.
|=--------+---------+---+-----+-----------+----------+-----+----------+-----------------------------------------------------------------------------------------------------------------------------------------------=|
|Name     |FirstName|Age|Giver|NbrDonation|BloodGroup|City |PostalCode|INVALID_STATUS                                                                                                                                  |
|=--------+---------+---+-----+-----------+----------+-----+----------+-----------------------------------------------------------------------------------------------------------------------------------------------=|
|Rodriguez|Glenn    |55 |false|29         |B+        |Rouen|76000     |[{"FieldNames":["Name","FirstName","Age","Giver","NbrDonation","BloodGroup","City","PostalCode"],"ruleName":"BloodDonation","status":"INVALID"}]   

Did this page help you?

If you find any issues with this page or its content – a typo, a missing step, or a technical error – please let us know!