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<div style="direction: ltr;font-family: Tahoma;color: #000000;font-size: 10pt;">Here's another one.<br>
<br>
4. Use LSL calculations to approximate the dataset as a line, and use that.<br>
VDEF:slope=x,LSLSLOPE<br>
VDEF:base=x,LSLINT<br>
CDEF:infill=slope,COUNT,*,base,+<br>
CDEF:newx=x,UN,infill,x,IF<br>
The downside is that you'll likely get a disconnect when switching between the real and infill data. The upside is that it wont be a horizontal line and no need to store invalid data.<br>
<br>
5. Use PREDICT function to fill in with averages of previous day's data.<br>
<div> CDEF:infill=36000,1,1800,x,PREDICT<br>
CDEF:newx=x,UN,infill,x,IF<br>
This hops back 10hr (the size of your available-data window) and fills in with a 30min average of that data.<br>
<br>
Of course, all of these infill ones have the downside that you're displaying made-up data for the unknown period... it would be simple enough to make the RRD graph function display made-up data using a different colour of line, so that you can see which parts
are true and which are cosmetic.<br>
<br>
Steve<br>
<br>
<div style="font-family:Tahoma; font-size:13px">
<div style="font-family:Tahoma; font-size:13px"><strong>Steve Shipway</strong></div>
<div style="font-family:Tahoma; font-size:13px">University of Auckland ITS</div>
<div style="font-family:Tahoma; font-size:13px"><em>UNIX Systems Design Lead</em></div>
<div style="font-family:Tahoma; font-size:13px"><a href="mailto:s.shipway@auckland.ac.nz">s.shipway@auckland.ac.nz</a></div>
<div style="font-family:Tahoma; font-size:13px">Ph: +64 9 373 7599 ext 86487</div>
<div style="font-family:Tahoma; font-size:13px"><em></em> </div>
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