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Comment: Published by Scroll Versions from space DEV and version r091


  1. In the Transformer page, click the Eyedropper icon at the top of the page. 
  2. From the Samples panel, select the required type of sample. For more information, see Sample Types.

  3. In the Collect new sample panel, select either Quick or Full scan.
    1. Quick: Creates a sample by partial scanning of the dataset and yields quicker results.


      Tip: Quick scan samples are executed by default in the

      D s photon
      running environment. If that environment is not available, the
      D s webapp
      may attempt to run the Quick Scan job on an available clustered running environment.

    2. Full: Creates a sample by scanning the full dataset. This method takes a longer time depending on the size of the dataset.


      Tip: Full scan samples are executed in the cluster running environment.

  4. Click Collect to collect the samesample. A sample job ID is generated for each sample you collect. When the sample is available, a status the Load Sample message is displayed in the Transformer page.
  5. Click Load Sample to start using the sample.

Cancel a Sample


  1. To load the sample, click Load Sample.

Example - Random sample

Random samples can be generated from a quick or full scan of your dataset. 


  1. In the Transformer page, click the Eyedropper icon at the top of the page. 
  2. From the Samples panel, select Anomaly-based sample.
  3. In the Collect new sample panel, enter the following details:
    1. From the Scan column, select Quick. For more information, see "Collect a New Sample" above.
    2. Select the required column: Discount.
    3. From  the anomaly type, select Find missing values only.
  4. Click Collect. A confirmation message is displayed.
  5. Click Load sample. The Anomaly-based sample is loaded with the missing values for the Discount column.

Cancel Sample

To cancel a sample collection, click the X next to the progress bar. The interrupted sample is listed as unavailable in the Collected samples panel. 




You can create as many samples as required based on your dataset. All collected samples are available in the Collected samples panels, where you can review and load them as required. 


  1. In the Samples panel, click See all collected samples.
  2. From the Collected samples panel, select the required sample from the Available tab. For more information, see "Collected Samples" below.


    NOTE: Samples listed under the Unavailable tab are invalid for the current state of your recipe. You cannot select these samples for use.

  3. If you want to edit the sample name, click the Pencil icon against the sample.




After you have created a sample, you cannot delete it through the application.


The collected samples store the details of your samples collected for your dataset. In the Samples panel, click See all collected samples link.

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Collected samples

The collected samples contain the following tabs:

  • Available: Displays the available samples that can be used. You can click Load to load the required sample. 
  • Unavailable: Displays the invalid samples, which cannot be selected for use. If subsequent steps make a sample valid again, it is moved to the Available tab.
  • All: Displays both the available and unavailable samples.

You can click the sample name to view the sample details.

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Sample details
  • Load: Click Load to load the sample.
  • Rename: Click Rename to rename the sample

Review Sample Jobs

You can review and manage all of your samples like transformation jobs. For more information, see Sample Jobs Page.