Hi Simon and David,
<div class="origmessagetext" id="qu_wQXteuNPK5NN5Khp7yqG"><br />
thank you for your hints!<br />
I actually found some missing update values - that means not every second a new set of values.<br />
<br />
Now I intent to tune the heartbeat value to 5 instead of 2,<br />
and step size of 1 remaining constant...<br />
So missing 1, 2 or 3 measures will not generate an *unknown* value in the RRD.<br />
<br />
Do you think that is the right way?<br />
<br />
Thank you and BR<br />
Peter<br />
<p>Simon Hobson schrieb:</p>
<blockquote class="origmessagetext_quote">
<div class="origmessagetext" id="qu_5omDM1WxshfjUJbHzuBq">Peter A. Menzel <prot_from_spam@famenzel.at> wrote:<br />
<blockquote class="origmessagetext_quote">
<div class="origmessagetext">Here is the setup script:<br />
<br />
rrdtool create AgroFire.rrd --step 1 \<br />
DS:KesselTemp:GAUGE:2:U:U \<br />
...<br />
RRA:AVERAGE:0.5:1:864000 \</div>
</blockquote>
<br />
Can you be certain that you provide an update *every* second ?<br />
You have a step size of 1, and a heartbeat value of 2. That means that you can only have data 2 seconds old before it is considered unknown. What isn't clear is which side of the point the decision is taken as the manual says :
<blockquote class="origmessagetext_quote">
<div class="origmessagetext">heartbeat defines the maximum number of seconds that may pass between two updates of this data source before the value of the data source is assumed to be *UNKNOWN*.</div>
</blockquote>
<br />
Eg, if you miss an update at time t=1 having done one at time t=0, does the value become unknown at time t=2 or *after* time t=2. The difference is that if you miss just one update, then in the former condition, when you come to do the update at time t=2, the data from time t=0 to time t=2 will be marked as unknown; but if it's the latter then the data wouldn't become unknown unless you also miss an update at time t=2.<br />
<br />
So firstly I would be checking to see that you are reliably doing an update every second and not creating a few unknown values. You might consider increasing the heartbeat value.<br />
<br />
You have specified an xff value of 0.5, so you would regard a consolidation as unknown if 50% of the source values are unknown. Since missing one update could be marking 2 seconds worth (ie 2 primary steps) as unknown, then missing an average of one update every 4 seconds would result in missing consolidated data.<br />
<br />
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</div>
</blockquote>
</div>