Splunk® Cloud Services

SPL2 Search Reference

Acrobat logo Download manual as PDF


Acrobat logo Download topic as PDF

union command overview

The SPL2 union command merges the results from two or more datasets into one larger dataset. One of the datasets can be the incoming search results that are then piped into the union command and merged with a second dataset.

If all of the datasets that you want to merge are indexes, you can use the indexes dataset function instead of the union command. See indexes dataset function.

Syntax

The required syntax is in bold.

union
<dataset> ["," <dataset>...]

How the SPL2 union command works

You can use the SPL2 union command to merge datasets that have identical or different field names. The following sections illustrate how to use the union command in both of these situations.

Datasets with identical field names

Consider the following two datasets:

products-amer

productID product_name supplierID supplier_name categoryID
BS-AG-G09 Benign Space Debris A51G-USA Area 51 Games ARCADE
SF-BVS-G01 Grand Theft Scooter IP-PAN Isthmus Pastimes ARCADE

products-apac

productID product_name supplierID supplier_name categoryID
DC-SG-G02 Dream Crusher PMG-KOR Play More Games STRATEGY
PZ-SG-G05 Puppies vs. Zombies TF-JAP Tiger Fun STRATEGY
SC-MG-G10 SIM Cubicle PMG-KOR Play More Games SIMULATION

You can use the SPL2 union command to bring these dataset together. For example:

$products = union products-amer, products-apac

The results look something like this:

productID product_name supplierID supplier_name categoryID
BS-AG-G09 Benign Space Debris A51G-USA Area 51 Games ARCADE
DC-SG-G02 Dream Crusher PMG-KOR Play More Games STRATEGY
PZ-SG-G05 Puppies vs. Zombies TF-JAP Tiger Fun STRATEGY
SC-MG-G10 SIM Cubicle PMG-KOR Play More Games SIMULATION
SF-BVS-G01 Grand Theft Scooter IP-PAN Isthmus Pastimes ARCADE

Datasets with different field names

Consider the following events from two datasets:

products-apac

productID product_name supplierID supplier_name categoryID
DC-SG-G02 Dream Crusher PMG-KOR Play More Games STRATEGY

suppliers_apac

supplierId supplier_name contact_name email address
PMG-KOR Play More Games Vanya Patel vanya@sample.com 234 Sejong-daero ... Seoul South Korea

Notice that both events have a field called supplier_name and fields for the supplier ID, but with different capitalization: supplierID and supplierId.

You can use the union command to bring these dataset together. For example:

$products = union products-apac, suppliers_apac

When the datasets are unioned, the fields from both datasets added to the output. The NULL value is added to fields that were not in the original event.

The results look something like this:

address categoryID contact_name email productID product_name supplierID supplierId supplier_name
NULL STRATEGY NULL NULL DC-SG-G02 Dream Crusher PMG-KOR NULL Play More Games
234 Sejong-daero ... Seoul South Korea NULL Vanya Patel vanya@sample.com NULL NULL NULL PMG-KOR Play More Games

Both events have a field called supplier_name that appears in the output with the same value. However, because the supplier ID fields have different capitalization, both fields appear in the output, even though the fields have the same value.

See also

union command
union command syntax details
union command usage
union command examples
Last modified on 31 January, 2024
PREVIOUS
timewrap command examples
  NEXT
union command syntax details

This documentation applies to the following versions of Splunk® Cloud Services: current


Was this documentation topic helpful?


You must be logged into splunk.com in order to post comments. Log in now.

Please try to keep this discussion focused on the content covered in this documentation topic. If you have a more general question about Splunk functionality or are experiencing a difficulty with Splunk, consider posting a question to Splunkbase Answers.

0 out of 1000 Characters