Splunk® Data Stream Processor

Function Reference

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


Assigns alternative names to fields or applies scalar functions to a group of fields. Returns a new record with only the provided fields.

When using this function in the UI, you can view the record's input and output schema. For example, if you are selecting data to be normalized from the Ingest REST API, then clicking the View Configurations tab in the select function displays the default fields in the event schema. You can normalize fields using field aliases or with an eval expression.

Function Input/Output Schema

Function Input
This function takes in collections of records with schema R.
Function Output
This function outputs the same collection of records but with a different schema S.


<expression> AS <field> ...

Required arguments

Syntax: collection<expression<any>>
Description: The <expression> can be either a field name or a scalar function.


This section contains additional usage information about the Select function.

Difference between Select and Eval

Both functions are used to change the fields in the record. However, while the eval function keeps existing fields and adds new fields for the aliases in the eval, select only includes the fields explicitly specified in the select function.

SPL2 example

This example keeps timestamp, id, and owner fields unchanged but renames logGroup and logStream fields.

... |select timestamp, id, owner, logGroup AS log_group, logStream AS log_stream | ...;
Last modified on 08 September, 2020

This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0, 1.2.0

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