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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.

 

 

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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

 

 

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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

 

 

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