Steps to reproduce:
1. Build an RRD datafile with any RRAs you like.
2. Update the RRD datafile with a value of "1" some number of times.
3. Build an rrdgraph with this definition
DEF:ds0=/data/rrd/datafile.rrd:ds0:AVERAGE
CDEF:ds0amps=ds0,10,/
AREA:ds0amps#00ff00:"amps"
GPRINT:ds0:AVERAGE:"Real value\: %.1lf"
GPRINT:ds0amps:AVERAGE:"Average\: %.1lf"
GPRINT:ds0amps:MAX:"Max\: %.1lf"
rrdtool fetch datafile.rrd AVERAGE
1140659100: 1.0000000000e+00 1.0000000000e+00
1140660000: 1.0000000000e+00 1.0000000000e+00
1140660900: 1.0000000000e+00 1.0000000000e+00
1140661800: 1.0000000000e+00 1.0000000000e+00
1140662700: 1.0000000000e+00 1.0000000000e+00
1140663600: 1.0000000000e+00 1.0000000000e+00
1140664500: 1.0000000000e+00 1.0000000000e+00
1140665400: 1.0000000000e+00 1.0000000000e+00
1140666300: 1.0000000000e+00 1.0000000000e+00
1140667200: 1.0000000000e+00 1.0000000000e+00
1140668100: 1.0000000000e+00 1.0000000000e+00
1140669000: 1.0000000000e+00 1.0000000000e+00
POSTNOTE:
More testing confirms that any number less than 1 is a problem.
Multiplying by .1 creates the same effect. Dividing 2 by 5 gives you
400m, etc. It's just plain borken ;-)
--
Jo Rhett
senior geek
Silicon Valley Colocation
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