I am struggling with PromQL over an issue dealing with a metric that
changes less frequently than the scrape interval. I am trying to use
Prometheus as a pseudo event tracker and hoping to get some advice on
how to best try and accomplish my goal.

I have a random job that runs at different intervals depending on the
situation. Some instances of the job run every five minutes and some run
only once an hour or once a day. The job creats a node_exporter
textfile snippet that gets scraped on 30 second interval.

Below is an example of a metric that changes only every five minutes with
the lesser scrape interval. In this scenario all the points with same
value are from the same job run. I really only care about one of those.

I have no way to know what the interval is between sets for all my
different jobs. All I know is that when the value changes, a new set is
in play.

What I want to do in "reduce" my dataset to deal with only distinct
values. I want to collapse these 27 entries below into 3 by taking either
the first or last value of each "set".

I can not find a PromQL function/operator that does what I want. Maybe I
need to use recording rules?

All and any help is greatly appreciated.































*metric_name{instance="hostname.example.net", job="external/generic", 
mode="pull", name="snafu"}9973997301 
<http://voice.google.com/calls?a=nc,%2B19973997301>@1673997343.7749973997301 
@1673997373.7649973997301 @1673997403.7649973997301 
@1673997433.7649973997301 @1673997463.7649973997301 
@1673997493.7649973997301 @1673997523.7649973997301 
@1673997553.7649973997301 @1673997583.7649973997601 
@1673997613.7649973997601 @1673997643.7649973997601 
@1673997673.7649973997601 @1673997703.7749973997601 
@1673997733.7649973997601 @1673997763.7649973997601 
@1673997793.7649973997601 @1673997823.7649973997601 
@1673997853.8639973997901 @1673997913.7649973997901 
@1673997943.7679973997901 @1673997973.7649973997901 
@1673998003.7649973997901 @1673998033.7649973997901 
@1673998063.7649973997901 @1673998093.7649973997901 
@1673998123.7649973997901 @1673998153.764*

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