Splunk® Data Stream Processor

Use the Data Stream Processor

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Adding, removing, and updating fields

You can add, update, and remove fields with the Data Stream Processor.

Adding fields

To add a new top-level field to your data, use the Eval function. The Eval function adds or updates an existing field to your record.

  1. From the Data Pipelines editor, click on the + icon and add the Eval function to your pipeline.
  2. Enter the Eval expression that defines the field value.
    For example, to add a new field called "User" to your data that contains the value of host, type user=host in your eval function.
  3. With your Eval function highlighted, click Start Preview to verify that the expression is working as expected.

Updating fields

To manipulate an existing field, use the Eval function. The Eval function adds or updates an existing field to your record.

  1. From the Data Pipelines editor, click on the + icon and add the Eval function to your pipeline.
  2. Enter the Eval expression that defines the field value.
    For example, to append to the existing body field Price, type the following in your Eval function.
    body=concat("price=", cast(body, "string"))
  3. With your Eval function highlighted, click Start Preview to verify that the expression is working as expected.

Removing fields

Use the Fields function to only keep selected fields in your events or remove specific fields from your events.

  1. From the Data Pipelines Canvas view, click on the + icon and add the Fields function to your pipeline.
  2. If you want to only keep specific fields in your data, then:
    • In the Fields function, enter the fields you want to keep in your data in field_list. For example, to keep only the host and source fields, type host, source in the field_list .
  3. If you want to remove specific fields in your data, then:
    • In the Fields function, enter the fields you want to remove from your data in the field_list and type - in the operator field. For example, to remove the source field, type source in the field_list and - in the operator field.
  4. With your Fields function highlighted, click Start Preview to verify that the expression is working as expected.
Last modified on 28 September, 2020
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0


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