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How to read different time slots from lookup table


Hi splunkers,

I have a situation to read different operational hours of same bin size for the last 3 days


                       9-10    10-11  11-12  12-13 13-14  14-15   15-16 .............23-24

Today 1 2 3 4 5
1 day before 1 2 3 4 5
2 day before 1 2 3 4 5

3 day before 1 2 3 4 5

As per Today's train scedule it will start at 10 operates till 12 after that it will take some rest and start again at 1 pm. Example: if today the train is in 1st hour of operation, i need to to count the alarmopened in 1st hour of operation for the last 3 days, divide it be 3 to compute average. If today's count of alarm opened is greater than the average, it will give alerts. The same happens for all hours of operation.

Question: My problem is how can I take the same time slot of previous last 3 days. If Now my train in 2nd hour of operation, how can I get the 2nd hour of operation for the last 3 days

Note: Bin size is same
everyday running for 5 hours


0 Karma

Esteemed Legend

It seems to me that the lookup table is irrelevant. Let us assume that your alarms data has a valid _time and ASSET_NAME value. If so, you can do what you asked like this:

| eval _raw = "sourcetype,ASSET_NAME,DateTime
| multikv forceheader=1 
| eval _time = strptime(DateTime, "%Y-%m-%dT%H:%M:%S")

| rename COMMENT AS "Everything above generates sample event data; everything below is your solution"

| eval DayOfWeek = strftime(_time, "%a")
| eval HourOfOperation = tonumber(strftime(_time, "%H")) - 7
| eval week = _time
| bin week span=1w
| stats count AS alarms max(_time) AS _time BY ASSET_NAME HourOfOperation DayOfWeek week
| tail 4
| multireport
[ tail 3 | stats avg(alarms) AS alarm_threshold BY ASSET_NAME HourOfOperation ]
[ head 1 ]
| selfjoin ASSET_NAME HourOfOperation
| where alarms > alarm_threshold
0 Karma
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