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.
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 | 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 | 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
timewrap command examples | union command syntax details |
This documentation applies to the following versions of Splunk® Cloud Services: current
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