Splunk® Data Stream Processor

Connect to Data Sources and Destinations with DSP

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On October 30, 2022, all 1.2.x versions of the Splunk Data Stream Processor will reach its end of support date. See the Splunk Software Support Policy for details. For information about upgrading to a supported version, see the Upgrade the Splunk Data Stream Processor topic.
This documentation does not apply to the most recent version of Splunk® Data Stream Processor. For documentation on the most recent version, go to the latest release.
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Deserialize and preview data from Microsoft Azure Event Hubs in DSP

When you create a data pipeline in the to ingest data from Microsoft Azure Event Hubs using the Microsoft Azure Event Hubs source function, the ingested data is encoded as bytes. To view the data as human-readable strings during data preview, you must deserialize the data.

Prerequisites

To ingest data from Azure Event Hubs into a DSP pipeline, you must have a connection to an event hub. See Create a DSP connection to Microsoft Azure Event Hubs.

Steps

  1. From the home page, click Build Pipeline and then select Microsoft Azure Event Hubs as your data source.
  2. Configure the Microsoft Azure Event Hubs source function to use your Azure Event Hubs connection and get data from your event hub. See Get data from Microsoft Azure Event Hubs in the Function Reference manual.
  3. On the pipeline canvas, click the + icon next to the Microsoft Azure Event Hubs function and then select Eval from the function picker.
  4. On the View Configurations tab, enter the following SPL2 expression in the function field:
    body = deserialize_json_object(body)
    
  5. Click Start Preview and click the Eval function on the pipeline canvas to confirm that the data in the body field has been deserialized from bytes into strings.
  6. (Optional) Click Stop Preview and continue building your pipeline by adding new functions to it.
Last modified on 09 December, 2020
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.2.0, 1.2.1-patch02, 1.2.1, 1.2.2-patch02, 1.2.4, 1.2.5


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