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!

Event Series: The Agentic SOC: Trust Before Autonomy

AI is fundamentally changing security operations, but true progress requires more than just automation—it ...

Free Professional Services for .conf26 Attendees

This year at .conf26, we are doing something a little different. We are bringing the best minds from ...

Defend at Machine Speed: Your Guide to Security Sessions at .conf26

Splunk .conf26   With threats moving at machine speed and attack surfaces expanding across hybrid ...