This section contains miscellaneous configuration topics to enable minor features of the platform.

Limits

For more information, see Configure Application Limits.

Configure CSV field delimiters

When you publish a CSV file, by default the fields in the file are comma-separated. Optionally, you can configure a different field delimiter.

Tip: During publication, you can specify whether the output file includes double quote marks around each field. For more information, see Run Job Page.

Steps:

  1. To enable the feature, verify that the following parameter has been set to true:

    "feature.publishDelimiterQuoteOption.enabled": true,


  2. If you wish to specify the delimiter character using a Unicode value, please set the following to true:

    "feature.publishDelimiterQuoteOption.enableUnicodeCSVDelimiters": true,


  3. Search for the following parameter:

    "webapp.outputCsvDelimiter"


  4. In the textbox, enter the string that is used as the delimiter.
    1. Strings can be more than one character in length.
    2. If you have enabled the Unicode CSV delimiters feature, you can enter Unicode characters in the following format:

      \uXXXX

      where XXXX is the Unicode value for the character.

      NOTE: The delimiter value is used as the default value for each job. The default can be overridden on a per-job basis. For more information, see Run Job Page.


  5. Save your changes.

Supported Extensions

You cannot upload a file with an unsupported or unlisted file extension. As needed, you can add extensions to the list of supported file formats, which enables the file to be uploaded. 

NOTE: Even if the file extension is added to this list, the platform may not be able to process the file. For more information, see Supported File Formats.


NOTE: The prevents the uploading of files with extensions that are disabled through specific configuration flags. For example, if you disable BZIP2 or Avro files, you cannot re-enable them by adding their extensions to this configuration list.


Steps:

  1. Locate the following parameter and add file extensions. In the example, two new extensions have been added to the list:

    "webapp.client.additionalAllowedFileExtensions": [".log",".LOG"],


  2. Save your changes and restart the platform.

Feature Flags

Disable enforced type casting

For non-schematized outputs,  enforces casting of all values to the annotated data type of the column by default. For example, if the output value is -3.4 and the data type for the output column is Integer, the platform enforces Integer type casting and writes a null value instead.

This feature is managed by the following workspace setting: Schematized output:

Parameter SettingDescriptionImplications on Mismatched Values
true(Default) All output values are forced to match the data type of the output columns.Mismatched values are written as null values.
false

All output values are written in their output form, regardless of the column's data type.

  • This behavior is the default for and .
Mismatched values are written as-is.

Steps:

  1. Set the following parameter accordingly:

    "Schematized output" : true,


  2. Save your changes and restart the platform.

Disable exporting job dependencies as flows

By default,   enables users to export the dependencies of a job that was executed as a flow. From the context menu in the Jobs tab in Flow View, select Export dependencies as Flow

Notes:

Steps:

  1. Set the following parameter to false:

    "feature.enableSnapshotExport" : true,


  2. Save your changes and restart the platform.

When disabled, verify that the Export dependencies as Flow option is not available from the context menu in the Jobs tab of Flow View. 

Enable Deletion of jobs

By default,  does not permit the deletion of jobs. As needed, you can enable deletion of jobs. 

To enable this feature:

Steps:

  1. Set the following parameter to true:

    "feature.enableJobDeletion" : false,


  2. Save your changes and restart the platform.

When enabled, jobs can be deleted from Flow View page or from the Jobs page through the context menu. 

Disable parameterization

By default,  supports the application of parameters to imported datasets. Datetime, wildcard, or variable parameters can be used to operationalize execution of jobs on different versions of the same dataset. For example, if a new dataset is dropped in the same folder each day with a different date value in the filename, you can apply parameters to the imported dataset to ensure that all matching datasets in the directory can be executed. For more information, see Overview of Parameterization.

To disable this feature, please complete the following steps.

Steps:

  1. Set the following parameter to false:

    "feature.parameterization.enabled" : false,


  2. Save your changes and restart the platform.

Disable RapidTarget matching

By default,  enables you to create target schemas for each recipe in your dataset. These schemas are represented in the Transformer page as a panel above the column headers. For more information, see Overview of RapidTarget.

If you prefer to disable this feature, please complete the following steps.

Tip: If there is no schema associated with a recipe, then the target schema matching features are not displayed.

Steps:

  1. Set the following parameter to false:

    "feature.targetMatching.enabled" : false,


  2. Save your changes and restart the platform.

Enable uploading profile pictures

Optionally, you can configure the platform to all users to upload images to be used as their profile pictures. See User Profile Page.

Steps:


  1. Set the following parameter to true:

    "webapp.enableProfilePicture" : true,


  2. Save your changes and restart the platform.

Disable flow sharing

The flow sharing feature enables a user to share a flow with another user for collaboration. In this manner, a single source of truth can be retained as multiple users collaborate to transform the flow's datasets into the desired output.

Flow sharing is enabled by default. For more information on disabling, see Workspace Admin Page.

Disable input swapping with datasets with parameters

By default, the  enables swapping out a static dataset with a dataset with parameters. However, these changes can significantly affect overall data processing volumes. If needed, this feature can be disabled.

Steps:

  1. Set the following parameter to false:

    "feature.parameterization.enableSwapWithDynamicDataset": true,


  2. Save your changes and restart the platform.

Disable column lineage recipe highlighting

By default, the  can display lineage highlighting of applicable steps for a selected column. When enabled, you can select Show related steps from a column's drop-down menu, and all recipe steps that reference the column are highlighted in the recipe panel. 

Please complete the following steps to disable this feature.

Steps:

  1. Set the webapp.enableColumnLineageScriptHighlighting configuration flag to false:

    "webapp.enableColumnLineageScriptHighlighting": false,


  2. Save your changes and restart the platform.

Disable custom types

By default, you can create custom data types in . When a column is set to a custom data type, the values in the column are validated against the type specification. 

After a custom data type has been created, it cannot be removed from the platform.



To disable this feature, please complete the following steps.

Steps:

  1. Set the following to false:

    "feature.enableCustomTypes": false,


  2. Save changes and restart the platform.

Disable machine learning transform suggestions

There is a known issue in which editing a recipe can result in an error like the following appearing in the recipe panel:

Server Save Error.
Unable to save changes. You may lose your work.

This error may be caused by a conflict between your operation and the machine learning service's attempt to deliver ranked suggestions to the user interface. Disabling this feature may remove the error.

NOTE: This change disables the platform's use of machine learning to improve transformation suggestions based on your actions. It does not impact the base platform's predictive interaction, which feeds your selections through a default set of algorithms to deliver suggested transformations.

Steps:

  1. Locate the following parameter and set it to false:

    "feature.mlTransformSuggestions.enabled": false,


  2. Save your changes and restart the platform.

Other Configuration Topics