Splunk® Data Stream Processor

Connect to Data Sources and Destinations with DSP

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.

Connecting Apache Pulsar to your DSP pipeline as a data source

When creating a data pipeline in Splunk Data Stream Processor, you can connect to an Apache Pulsar cluster and use it as a data source. You can get data from Pulsar into a pipeline, transform the data as needed, and then send the transformed data out from the pipeline to a destination of your choosing.

To connect to Kafka as a data source, you must complete the following tasks:

  1. Create a connection that allows DSP to access your Pulsar data. See Create a DSP connection to Apache Pulsar.
  2. Create a pipeline that starts with the Apache Pulsar source function. See the Building a pipeline chapter in the Use the Data Stream Processor manual for instructions on how to build a data pipeline.
  3. Configure the Apache Pulsar source function to use your Pulsar connection. See Get data from Apache Pulsar in the Function Reference manual.

When you activate the pipeline, the source function starts collecting data from Pulsar.

If your data fails to get into DSP, check the connection settings to make sure you have the correct service URL, SSL certificates, and client private key for your Pulsar cluster. DSP doesn't run a check to see if you enter valid credentials.

Last modified on 25 March, 2022
Deserialize and preview data from Kafka in DSP   Create a DSP connection to Apache Pulsar

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, 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4, 1.4.5


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