Gudde Muergen!
I'm quite new to Splunk, so I'm having difficulties figuring out how to do this search properly.
Here's a small snippet of events:
| mc1_date | mc1_time | mc1_system | mc1_catalog | mc1_adds | mc1_updates | mc1_gets | mc1_getupd | mc1_deletes |
| 15.12.2022 | 08:05:05 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 5081 | 0 | 0 |
| 14.12.2022 | 08:05:16 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 5012 | 0 | 0 |
| 13.12.2022 | 10:05:12 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 6719 | 0 | 0 |
| 12.12.2022 | 08:05:12 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 5051 | 0 | 0 |
| 11.12.2022 | 08:05:03 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 5008 | 0 | 0 |
| 10.12.2022 | 08:05:08 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 5012 | 0 | 0 |
| 09.12.2022 | 14:05:16 | SYSS1 | CATALOG.MASTER.SYSS1 | 0 | 0 | 11387 | 0 | 0 |
The table above contains the max daily mc1_gets values for CATALOG.MASTER.SYSS1 on SYSS1 from the last 7 days.
The whole sourcetype contains hourly data with multiple systems and multiple catalogs per system.
What I need is a way to get, per catalog, per system, the standard deviation of the daily max values of mc1_gets over a span of 7 days (or more).
The output data for the table above should look something like this in the end:
| mc1_system | mc1_catalog | mc1_gets |
| SYSS1 | CATALOG.MASTER.SYSS1 | 2380.05 |
Any help would be much appreciated!
Mat beschte Gréiss,
Duncan Hagen