Splunk® Data Stream Processor

Function Reference

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DSP 1.2.0 is impacted by the CVE-2021-44228 and CVE-2021-45046 security vulnerabilities from Apache Log4j. To fix these vulnerabilities, you must upgrade to DSP 1.2.4. See Upgrade the Splunk Data Stream Processor to 1.2.4 for upgrade instructions.

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.
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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
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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


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