Splunk Search

Calculating Splunk data Compression Size

ram254481493
Explorer

Hi ,

I looked the daily ingestion for an index i am seeing total data ingested in last 7 days to an index is 800 GB. When i am calculating the total raw data size its showing total raw data ingested 1626 GB and its compressed to 759 GB which is at 46%. I am not understanding if i ingested 800 GB in last 7 days how come the raw total size data came to 1626 GB ? Any inputs will be appreciated.

Query using for compression:

| dbinspect index=xyz
| fields state,id,rawSize,sizeOnDiskMB
| stats sum(rawSize) AS rawTotal, sum(sizeOnDiskMB) AS diskTotalinMB
|eval diskTotalinGB=(diskTotalinMB/1024)
| eval rawTotalinGB=(rawTotal / 1024 / 1024 / 1024) | fields - rawTotal
| eval compression=tostring(round(diskTotalinGB / rawTotalinGB * 100, 2)) + "%"
| table rawTotalinGB, diskTotalinGB, compression

Result: rawTotalinGB diskTotalinGB compression
1626.19525605347 759.39445495605 46.70%

Query used to calculate daily ingestion :
index=_internal source="license_usage.log" type=Usage idx=xyz| eval yearmonthday=strftime(_time, "%Y-%m-%d") | eval yearmonth=strftime(_time, "%Y-%m-%d") | stats sum(eval(b/1024/1024/1024)) AS volume_b by idx yearmonthday yearmonth | chart sum(volume_b) over yearmonth by idx|addcoltotals.

Which gives me total 862 GB ingestion in last 7 days.

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!

Make Your Machine Data AI-Ready in Splunk

Every team is getting ready for AI agents.   Thursday, November 12, 2026  |  11AM  PST / 2PM EST   ...

Splunk Asynchronous Forwarding Explained

Splunk asynchronous forwarding is often misunderstood as simply setting autoLBVolume. That is not quite right. ...

How to Monitor AI Agents with Splunk Agent Observability

Let’s say I’m running a travel planning AI app in production. A user asks for three concise hotel options in ...