Splunk® Data Stream Processor

Function Reference

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.

Overview of stats scalar functions

Use statistical functions to generate a calculation, such as an average, based on the fields in your data.

Functions that use stats functions

You can use the statistical scalar functions with the stats and aggregate with trigger functions.

Using evaluation scalar functions in statistical functions

Because the aggregations argument in both the stats and aggregate with trigger functions accept a collection<expression<any>>, you can use evaluation scalar functions within statistical scalar functions.

For example:

... | stats count(if(status="404", true, null)) AS status_code by source_type, span(timestamp, 50s, 10s);
Last modified on 17 December, 2020
String manipulation   Aggregation

This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0, 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

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