[rrd-users] Re: Data granularity

[Serge Maandag]

> 	rrdtool create resp.rrd --step 5 \
> 	DS:resp:GAUGE:10:0:U \
> 	RRA:AVERAGE:0.999:1:1000
> 
> If I do single data point update using:
> 
> 	rrdtool update resp.rrd 1106249083:45
> 
> and *not* post any update for a while ( > 10 seconds ), the 
> RRD fetch command shows that the AVERAGE CF has the following value:
> 	1106249083: nan
> 
> Why do I have a NaN?  Shouldn't I have "4.5000000000e+01" > instead?

No, rrdtool normalizes your input. Therefore it really only is useful
if you enter data in a regular interval.

Say you updated like this:

rrdtool update resp.rrd 1106249073:15
rrdtool update resp.rrd 1106249083:45

Then after the second update, rrdtool is able to determine the value
At timestamp 1106249080. It would be:

(45-15) * (1106249080-1106249073)/(1106249083-1106249073)
= 30 * 7/10 = 21

It is interpolated because you did not update on a N x 10 seconds
timestamp

In your case the value is unknown, because you have no previous value to
use for interpolation. You need multiple consecutive values for that.

> Is there a way to retain the value entered for that step?

One solution is to set the heartbeat very high, so multiple rows will be

filled by a single update, but that is not what you want.

What you could try is:
- update only on N x 10 timestamps. So 1106249083 would become:
  10 x int(1106249083/10) = 1106249080 or
- before updating, do a "rrdtool last" to get the last time the database
  was updated. Then for ech step size between now and that last update
time,
  update the database with 0.

I still would use the log file solution.
It's way cleaner.

Serge.

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