Splunk® Data Stream Processor

Use the Data Stream Processor

On April 3, 2023, Splunk Data Stream Processor reached its end of sale, and will reach its end of life on February 28, 2025. If you are an existing DSP customer, please reach out to your account team for more information.

All DSP releases prior to DSP 1.4.0 use Gravity, a Kubernetes orchestrator, which has been announced end-of-life. We have replaced Gravity with an alternative component in DSP 1.4.0. Therefore, we will no longer provide support for versions of DSP prior to DSP 1.4.0 after July 1, 2023. We advise all of our customers to upgrade to DSP 1.4.0 in order to continue to receive full product support from Splunk.

SPL2 in the

Users build and configure pipelines in the using the Search Processing Language (SPL2). For details about the SPL2 language, see the SPL2 Search Manual. A DSP pipeline corresponds to an SPL2 program. Users can either construct the program directly in the SPL2 Pipeline Builder or they can construct pipelines incrementally from the Canvas View. The may refer to various SPL2 language constructs by other names. This page outlines equivalent terminology between SPL2 concepts and those used in the . In the future, these names will be replaced by their equivalent SPL2 counterparts.

Ways to use SPL2 in the

The SPL2 Pipeline Builder uses SPL2 programs to build and configure pipelines. SPL2 programs can contain statements, which supports variable assignments, and must be terminated by a semi-colon. See Create a pipeline using the SPL2 View.

Pipelines can also be built via a UI using the Canvas View. In the Canvas View, you can build a pipeline by incrementally dropping functions into a canvas, and typing SPL2 expressions. See Create a pipeline using the Canvas View.


There are terminology differences in SPL2 for the .


The uses the term functions more broadly. A pipeline is constructed entirely from "functions". Certain functions (called "commands" in SPL2) operate on data streams, and are referred to as "streaming commands" or "streaming functions". There are also functions that operate on scalars, such as string manipulations, which are called "functions" in SPL2, or "scalar functions".

In summary, a "function" in the is either:

  • An SPL2 command, or "streaming function" or "streaming command", which operates on data streams.
  • An SPL2 function, or a "scalar function", which operates on scalar data, and are used within a streaming function.

The supports a rich set of functions. Since these functions are used in a stream processing context, some of them are unique to the , and some may be slightly different from similar SPL2 Search commands/functions, For a comprehensive list of functions available, see DSP functions by category.

Sources and Sinks vs. Datasets

SPL2 reads and writes data from Datasets. These are also referred to as source functions or sink functions in the . Source functions and sink functions are a special type of streaming function that represent a data source or a data destination respectively.

Last modified on 09 March, 2022
terminology   data types

This documentation applies to the following versions of Splunk® Data Stream Processor: 1.3.0, 1.3.1, 1.4.0, 1.4.1, 1.4.2, 1.4.3, 1.4.4

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