Getting Data In

sum multiple value in a json

3vi
Engager

Hello, I have a raw like this:

.success [{"importo":2,"tipologiaOperazione":"AAA"},{"importo":1.82,"tipologiaOperazione":"BBB"}, {"importo":1,"tipologiaOperazione":"AAA"}]

I need to have the sum of importo, by tipologiaOperazione, in this case, the result will be:

AAA: 3
BBB: 1.82

How can I do that?

I tried with this regex

| rex max_match=100000 "(?ms)(?P<importoDistinta>(?<=\"importo\":)(\\d*\\.?\\d*)(?=,))" | rex max_match=100000 "(?ms)(?P<tipologiaOperazione>(?<=\"tipologiaOperazione\":\")(\\w*\\s*\\w*\\w*\\s*\\w*)(?=\",))" | stats sum(importoDistinta) by tipologiaOperazione

but I've got this result:

AAA: 4.82
BBB: 4.82

0 Karma
1 Solution

rbechtold
Communicator

Hey 3vi,

Using the raw data you provided, I've created a search that should give you the correct numbers you're looking for (you can copy and paste this into any Splunk instance):

| makeresults count=1
| eval _raw =  ".success [{\"importo\":2,\"tipologiaOperazione\":\"AAA\"},{\"importo\":1.82,\"tipologiaOperazione\":\"BBB\"}, {\"importo\":1,\"tipologiaOperazione\":\"AAA\"}]"
| rex field=_raw max_match=0 "\"importo\"\:(?<importo>[^\,]+)\,\"tipologiaOperazione\"\:\"(?<tipologiaOperazione>[^\"]+)"
| eval zippedfields = mvzip(importo,tipologiaOperazione)
| mvexpand zippedfields
| rex field=zippedfields "(?<importo>[^\,]+)\,(?P<tipologiaOperazione>.*)"
| fields - zippedfields
| stats sum(importo) by tipologiaOperazione

Since there are multiple importos and tipologiaOperaziones in each log, you'll need to use mvexpand to make sure all the importos are accounted for before summing them together.

If you run into any problems, or the solution doesn't work for you, let me know and I'll do my best to further assist!

View solution in original post

0 Karma

rbechtold
Communicator

Hey 3vi,

Using the raw data you provided, I've created a search that should give you the correct numbers you're looking for (you can copy and paste this into any Splunk instance):

| makeresults count=1
| eval _raw =  ".success [{\"importo\":2,\"tipologiaOperazione\":\"AAA\"},{\"importo\":1.82,\"tipologiaOperazione\":\"BBB\"}, {\"importo\":1,\"tipologiaOperazione\":\"AAA\"}]"
| rex field=_raw max_match=0 "\"importo\"\:(?<importo>[^\,]+)\,\"tipologiaOperazione\"\:\"(?<tipologiaOperazione>[^\"]+)"
| eval zippedfields = mvzip(importo,tipologiaOperazione)
| mvexpand zippedfields
| rex field=zippedfields "(?<importo>[^\,]+)\,(?P<tipologiaOperazione>.*)"
| fields - zippedfields
| stats sum(importo) by tipologiaOperazione

Since there are multiple importos and tipologiaOperaziones in each log, you'll need to use mvexpand to make sure all the importos are accounted for before summing them together.

If you run into any problems, or the solution doesn't work for you, let me know and I'll do my best to further assist!

0 Karma

3vi
Engager

Many thanks! it works well

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!

Manage Edge Processor pipelines end to end with APIs

This guide uses the Data Management APIs to create an Edge Processor, onboard one instance, deploy a pipeline ...

Splunk Brings Proof of Control to Digital Asset Transfers

Digital assets now sit inside the core of financial services. HSBC launched its Tokenized Deposit Service in ...

Manage Ingest Processor pipelines end to end with APIs

This guide uses the Data Management APIs to create an Ingest Processor pipeline, deploy it to the ...