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Comment: Published by Scroll Versions from space FUNCTDEV and version SOAVIRT_9.10.8_CTP_3.1.4

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Overview

Some testing activities can be accomplished with simple tabular data, as opposed to Simple tabular data may be more appropriate than complex hierarchical data structures for certain testing activities. You can create simple data sets in Continuous Testing Platform that can be used for use in tests executed in the desktop, command line, or web interface. You can either create an empty data set and populate it manually, or create a data set by importing a file containing the data. 

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You can perform the following actions in the main toolbar.

  • Click the Export button to  to export the repository. This action creates a copy of the data repository that you can download from the main page of the Data tab. See Creating and Managing Repositories.

  • Click the Lock button to  to prevent changes by other users to from making changesto the repository. See Locking and Unlocking Repositories in CTP.
  • Click the Refresh button to  to load any changes TDA may have collected from occurred on a connected application.
  • Click the Data Set button to  to add a new data set to the repository. See Manually Creating a Data Set.
  • Click the Delete button to  to delete the selected repository. See Creating and Managing Repositories.

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You can perform the following actions in the data repository view.

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Manually

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Create a Data Set

  1. In the Data tab, choose a repository from the server menu and click the add data set button in the main toolbar. 
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  2. Specify

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  1. names for the data set and

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  1. record type

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  1. . By default, the name of the data set is used for the record type name

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  1. , but you can click in the Record Type Name field and specify a different

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  1. value if your test scenarios use a specific naming convention
  2. Choose the Empty option and click Create.
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The data set will be added to the repository page. See Adding and Modifying Data for next steps.

You can also create a data set on import.

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Download Data Sets and Record Types

You can download the data set or record type as a JSON or CSV file.

  1. Choose Download from the ellipses menu and specify the file format. 
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  2. Specify an encoding option (default is UTF-8) and click Download.

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Delete Data Sets and Record Types

Choose Delete from the ellipses menu and confirm that you want to remove the data set or record type when prompted. If the data set contains a hierarchy of record types that are not referenced by another data set, you can enable the Delete orphaned record types option to ensure that the data set is completely removed. This option does not apply to record types. 

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Open the Data Record View

Click on a data set in the Data Sets column to open the Data Record View.

Data Record View

The data record view is the interface for modifying data. Click on a data set from the data repository view to access records.

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You can perform the following actions.

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Use the Data Sets Toolbar

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  • Click the refresh button to load any changes to the data.
  • You can download the data as a JSON or CSV file
    1. Click the download icon and choose a format from the drop-down menu.
    2. Choose an encoding option (default is UTF-8) and specify separator and quotation mark characters.
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    3. Click Download to proceed.
  • Click the trash icon and confirm that you want to delete the data set when prompted. If the data set contains record types that do not reference or are not referenced by another component, you can enable the Delete orphaned record types option to ensure that the data set is completely removed.

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Adding and Modifying Data
Adding and Modifying Data
Add and Modify Data

Click on the ellipsis menu in the data set header to add key columns, value columns, and to add first and last rows.

New value columns are always added to the end of the table.

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Excerpt

New key columns are added to the beginning of the table (immediately to the right of the Row # column) in alphabetical order according the following precedence:

  1. Columns starting with a hyphen (-)
  2. Upper case
  3. Lower case  
Info
titleAbout Key and Value Column Names

Column names cannot:

  • contain white spaces
  • contain non-alphanumeric characters
  • start with a digit
  • use underscores as the first or last character

If the file contains any of these characters, they will be replaced by underscores when imported into a data set.

Click on the column actions menu to rename or delete the column. You can also sort how the data is presented by key column values. Sorting does not affect the structure of the data.

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Click the row actions menu to add an inline row, duplicate the data row, or delete the row.

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Duplicated and newly-added rows are added below the actioned row and are highlighted. 

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Click on the edit icon to enable editing values for the row. When in edit mode, the edit icon changes to the save button and the row actions menu icon changes to the cancel button. 

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Change the value of the Row # field to change the order when the data is used in SOAtest. 

Creating a Data Set on Import

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