Splunk® Data Stream Processor

Function Reference

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Merge Events

This topic describes how to use the function in the Splunk Data Stream Processor.

Description

Parses data received from a universal forwarder into a stream of complete events for a Splunk Index. The universal forwarder does not parse incoming data, so you must use this function if you are using a universal forwarder. You must use merge_events in conjunction with key_by.

Function Input/Output Schema

Function Input
GroupedStream<record<K>, record<V>>
This function accepts records with schema V, grouped on schema K.
Function Output
collection<record<R>>
This function outputs a collection of records with a schema R.

Syntax

The required fields are in bold font.

Merge_Events
content=expression<string>
delimiter=<regular-expression>
[output=<string>]
[max event size=<long>]

Required arguments

content
Expects: expression<string>
Description: An expression to get the desired field to be broken into single events.
UI Example: cast(get("body"), "string");
delimiter
Expects: delimiter=<regular-expression>
Description: The Java regular expression used to break events.
UI Example: /(\n)[0-9]{2}-[0-9]{2}-[0-9]{4}/

Optional arguments

output
Expects: string
Description: The name of the output field in the new event.
Default: body
UI Example: body
max event size
Expects: long
Description: Specifies the maximum event size, in bytes, of an event. Size cannot exceed 1MB.
Default: 1000000 (1MB)
UI Example: 1000000

SPL2 examples

1. This example breaks a single event in body using a newline delimiter and outputs multiple events in newfield.

...| merge_events content=cast(body, "string"), delimiter=/\n/, output=newfield, max-event-size=1000000 |...
Last modified on 17 June, 2020
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0


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