Splunk Search

Extract JSON objects

vishaltaneja070
Motivator

How can i extract this:
"properties": {"nextLink": null,
"columns": [
{"name": "Cost", "type": "Number"},
{"name": "Date", "type": "Number"},
{"name": "Charge", "type": "String"},
{"name": "Publisher", "type": "String"},
{"name": "Resource", "type": "String"},
{"name": "Resource", "type": "String"},
{"name": "Service", "type": "String"},
{"name": "Standard", "type": "String"},
"rows": [
[2.06, 20210807, "usage", "uuuu", "hhh", "gd", "bandwidth", "azy", "HHH"],
[2.206, 20210807, "usage", "uuuhhh", "ggg", "gd", "bandwidth", "new", "YYY"] ]

No of columns can be increased.

 

 

Labels (1)
Tags (1)
0 Karma
1 Solution

ITWhisperer
SplunkTrust
SplunkTrust

Assuming columns is supposed to be an array of name/type pairs (added closing ]) and that there are supposed to be 9 of these pairs (added Comment), and that you have a properly formatted JSON string (added surrounding and closing braces), then you could do something like this

 

| makeresults 
| eval _raw="{\"properties\": {\"nextLink\": null,
\"columns\": [
{\"name\": \"Cost\", \"type\": \"Number\"},
{\"name\": \"Date\", \"type\": \"Number\"},
{\"name\": \"Charge\", \"type\": \"String\"},
{\"name\": \"Publisher\", \"type\": \"String\"},
{\"name\": \"Resource\", \"type\": \"String\"},
{\"name\": \"Resource\", \"type\": \"String\"},
{\"name\": \"Service\", \"type\": \"String\"},
{\"name\": \"Standard\", \"type\": \"String\"},
{\"name\": \"Comment\", \"type\": \"String\"}],
\"rows\": [
[2.06, 20210807, \"usage\", \"uuuu\", \"hhh\", \"gd\", \"bandwidth\", \"azy\", \"HHH\"],
[2.206, 20210807, \"usage\", \"uuuhhh\", \"ggg\", \"gd\", \"bandwidth\", \"new\", \"YYY\"]] }}"



| spath path="properties.columns{}.name" output=columnnames
| spath path="properties.rows{}{}" output=rows
| streamstats count as event 
| mvexpand rows
| streamstats count as row by event
| eval index=(row-1)%mvcount(columnnames)
| eval name=mvindex(columnnames,index)
| eval {name}=rows
| eval row=floor((row-1)/mvcount(columnnames))
| fields - columnnames name index rows
| stats values(*) as * by row event

 

 

View solution in original post

0 Karma

ITWhisperer
SplunkTrust
SplunkTrust

Assuming columns is supposed to be an array of name/type pairs (added closing ]) and that there are supposed to be 9 of these pairs (added Comment), and that you have a properly formatted JSON string (added surrounding and closing braces), then you could do something like this

 

| makeresults 
| eval _raw="{\"properties\": {\"nextLink\": null,
\"columns\": [
{\"name\": \"Cost\", \"type\": \"Number\"},
{\"name\": \"Date\", \"type\": \"Number\"},
{\"name\": \"Charge\", \"type\": \"String\"},
{\"name\": \"Publisher\", \"type\": \"String\"},
{\"name\": \"Resource\", \"type\": \"String\"},
{\"name\": \"Resource\", \"type\": \"String\"},
{\"name\": \"Service\", \"type\": \"String\"},
{\"name\": \"Standard\", \"type\": \"String\"},
{\"name\": \"Comment\", \"type\": \"String\"}],
\"rows\": [
[2.06, 20210807, \"usage\", \"uuuu\", \"hhh\", \"gd\", \"bandwidth\", \"azy\", \"HHH\"],
[2.206, 20210807, \"usage\", \"uuuhhh\", \"ggg\", \"gd\", \"bandwidth\", \"new\", \"YYY\"]] }}"



| spath path="properties.columns{}.name" output=columnnames
| spath path="properties.rows{}{}" output=rows
| streamstats count as event 
| mvexpand rows
| streamstats count as row by event
| eval index=(row-1)%mvcount(columnnames)
| eval name=mvindex(columnnames,index)
| eval {name}=rows
| eval row=floor((row-1)/mvcount(columnnames))
| fields - columnnames name index rows
| stats values(*) as * by row event

 

 

0 Karma
Got questions? Get answers!

Join the Splunk Community Slack to learn, troubleshoot, and make connections with fellow Splunk practitioners in real time!

Meet up IRL or virtually!

Join Splunk User Groups to connect and learn in-person by region or remotely by topic or industry.

Get Updates on the Splunk Community!

Modernize your Splunk Apps – Introducing Python 3.13 in Splunk

We are excited to announce that the upcoming releases of Splunk Enterprise 10.2.x and Splunk Cloud Platform ...

Step into “Hunt the Insider: An Splunk ES Premier Mystery” to catch a cybercriminal ...

After a whole week of being on call, you fell asleep on your keyboard, and you hit a sequence of buttons that ...

SplunkTrust Application Period is Officially OPEN!

It's that time, folks! The application/nomination period for the 2026-2027 SplunkTrust is officially open. If ...