<div dir="ltr"><div>Hi Johan,</div><br><div class="gmail_extra"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
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Even if data is consolidated - you will get the max-values - as your RRD's are set up to keep these.<br>
But looking on a wider scope - you may get a difference on the sum of the Max - I think... <img src="cid:1375817424.3013.102.camel@cph-drift2.eur.adobe.com" align="middle" alt=":-)" border="0"><br>
Another example. of single samples.<br>
A: 1 2 3 3 2 1<br>
B: 3 2 1 1 2 3<br>
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For each of the above - the sum is always 4 - when adding up A and B numbers.<br>
But when all the 6 values are consolidated to a single value - and you use MAX - you will end up having 3 for A - and 3 for B.<br>
The sum of these are 6 - (and not 4).<br>
So if larger buckets are created - and the sum of these are calculated you will end up with a higher number.<br></div></blockquote><div><br></div><div>Thank you, that is an easy to understand explanation that seems to demonstrate what I am experiencing.</div>
<div>I couldn't get my head around it until I saw that.</div><div><br></div><div>Basically, my 1 month graph uses a 2 hour consolidation period and my 1 year graph uses a 1 day consolidation period. It is unlikely that MAX(A) and MAX(B) are going to happen at the same time. Let's assume, on my monthly graph that MAX(A) happens in a different 2 hour bucket to MAX(B), but on my yearly graph, MAX(A) and MAX(B) occur within the same bucket as the buckets are larger - the MAX on the yearly graph will be higher than the MAX on the monthly graph. Does that sound plausible?</div>
<div><br></div><div>I think I have just convinced myself of the pit falls of using MAX when combining data sources.</div><div><br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-color:rgb(204,204,204);border-left-style:solid;padding-left:1ex">
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For network bandwidth it's normal to look at the 95%-percentile</div></blockquote><div><br></div><div><div>Thanks, I will have a look into this.</div></div><div><br></div><div>Chris</div></div></div></div>