[rrd-users] unexpected NANs

permalink · #1 (**permalink**) 11-28-2007

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Hi,

I'm having problems with some of my rrd's because all the PDP's are nans ev=
enthough the values which go into each PDP are present at the required 60 s=
econd intervals. A few values may come in slightly over the 60 seconds, but=
I have set the heartbeat 120, so as long as there is data within this time=
, I would have expected to get a PDP. Can anyone see where I'm going wrong?

Many thanks,

Ed.

This is the info for one of the rrd's:

filename =3D "Windows_Memory_Paging_Usage.rrd"
rrd_version =3D "0003"
step =3D 60
last_update =3D 1196244176
ds[MEMmmPgsInptPrSc].type =3D "GAUGE"
ds[MEMmmPgsInptPrSc].minimal_heartbeat =3D 120
ds[MEMmmPgsInptPrSc].min =3D NaN
ds[MEMmmPgsInptPrSc].max =3D NaN
ds[MEMmmPgsInptPrSc].last_ds =3D "UNKN"
ds[MEMmmPgsInptPrSc].value =3D 0.0000000000e+00
ds[MEMmmPgsInptPrSc].unknown_sec =3D 56
ds[MEMmmPgsOtptPrSc].type =3D "GAUGE"
ds[MEMmmPgsOtptPrSc].minimal_heartbeat =3D 120
ds[MEMmmPgsOtptPrSc].min =3D NaN
ds[MEMmmPgsOtptPrSc].max =3D NaN
ds[MEMmmPgsOtptPrSc].last_ds =3D "UNKN"
ds[MEMmmPgsOtptPrSc].value =3D 0.0000000000e+00
ds[MEMmmPgsOtptPrSc].unknown_sec =3D 56
rra[0].cf =3D "AVERAGE"
rra[0].rows =3D 26352
rra[0].pdp_per_row =3D 5
rra[0].xff =3D 5.0000000000e-01
rra[0].cdp_prep[0].value =3D NaN
rra[0].cdp_prep[0].unknown_datapoints =3D 2
rra[0].cdp_prep[1].value =3D NaN
rra[0].cdp_prep[1].unknown_datapoints =3D 2
rra[1].cf =3D "AVERAGE"
rra[1].rows =3D 8784
rra[1].pdp_per_row =3D 30
rra[1].xff =3D 5.0000000000e-01
rra[1].cdp_prep[0].value =3D NaN
rra[1].cdp_prep[0].unknown_datapoints =3D 2
rra[1].cdp_prep[1].value =3D NaN
rra[1].cdp_prep[1].unknown_datapoints =3D 2
rra[2].cf =3D "AVERAGE"
rra[2].rows =3D 4392
rra[2].pdp_per_row =3D 120
rra[2].xff =3D 5.0000000000e-01
rra[2].cdp_prep[0].value =3D NaN
rra[2].cdp_prep[0].unknown_datapoints =3D 2
rra[2].cdp_prep[1].value =3D NaN
rra[2].cdp_prep[1].unknown_datapoints =3D 2
rra[3].cf =3D "AVERAGE"
rra[3].rows =3D 1098
rra[3].pdp_per_row =3D 1440
rra[3].xff =3D 5.0000000000e-01
rra[3].cdp_prep[0].value =3D NaN
rra[3].cdp_prep[0].unknown_datapoints =3D 602
rra[3].cdp_prep[1].value =3D 1.0000000000e+00
rra[3].cdp_prep[1].unknown_datapoints =3D 600
rra[4].cf =3D "MAX"
rra[4].rows =3D 26352
rra[4].pdp_per_row =3D 5
rra[4].xff =3D 5.0000000000e-01
rra[4].cdp_prep[0].value =3D NaN
rra[4].cdp_prep[0].unknown_datapoints =3D 2
rra[4].cdp_prep[1].value =3D NaN
rra[4].cdp_prep[1].unknown_datapoints =3D 2
rra[5].cf =3D "MAX"
rra[5].rows =3D 8784
rra[5].pdp_per_row =3D 30
rra[5].xff =3D 5.0000000000e-01
rra[5].cdp_prep[0].value =3D NaN
rra[5].cdp_prep[0].unknown_datapoints =3D 2
rra[5].cdp_prep[1].value =3D NaN
rra[5].cdp_prep[1].unknown_datapoints =3D 2
rra[6].cf =3D "MAX"
rra[6].rows =3D 4392
rra[6].pdp_per_row =3D 120
rra[6].xff =3D 5.0000000000e-01
rra[6].cdp_prep[0].value =3D NaN
rra[6].cdp_prep[0].unknown_datapoints =3D 2
rra[6].cdp_prep[1].value =3D NaN
rra[6].cdp_prep[1].unknown_datapoints =3D 2
rra[7].cf =3D "MAX"
rra[7].rows =3D 1098
rra[7].pdp_per_row =3D 1440
rra[7].xff =3D 5.0000000000e-01
rra[7].cdp_prep[0].value =3D NaN
rra[7].cdp_prep[0].unknown_datapoints =3D 602
rra[7].cdp_prep[1].value =3D 5.0000000000e-01
rra[7].cdp_prep[1].unknown_datapoints =3D 600
rra[8].cf =3D "MIN"
rra[8].rows =3D 26352
rra[8].pdp_per_row =3D 5
rra[8].xff =3D 5.0000000000e-01
rra[8].cdp_prep[0].value =3D NaN
rra[8].cdp_prep[0].unknown_datapoints =3D 2
rra[8].cdp_prep[1].value =3D NaN
rra[8].cdp_prep[1].unknown_datapoints =3D 2
rra[9].cf =3D "MIN"
rra[9].rows =3D 8784
rra[9].pdp_per_row =3D 30
rra[9].xff =3D 5.0000000000e-01
rra[9].cdp_prep[0].value =3D NaN
rra[9].cdp_prep[0].unknown_datapoints =3D 2
rra[9].cdp_prep[1].value =3D NaN
rra[9].cdp_prep[1].unknown_datapoints =3D 2
rra[10].cf =3D "MIN"
rra[10].rows =3D 4392
rra[10].pdp_per_row =3D 120
rra[10].xff =3D 5.0000000000e-01
rra[10].cdp_prep[0].value =3D NaN
rra[10].cdp_prep[0].unknown_datapoints =3D 2
rra[10].cdp_prep[1].value =3D NaN
rra[10].cdp_prep[1].unknown_datapoints =3D 2
rra[11].cf =3D "MIN"
rra[11].rows =3D 1098
rra[11].pdp_per_row =3D 1440
rra[11].xff =3D 5.0000000000e-01
rra[11].cdp_prep[0].value =3D NaN
rra[11].cdp_prep[0].unknown_datapoints =3D 602
rra[11].cdp_prep[1].value =3D 5.0000000000e-01
rra[11].cdp_prep[1].unknown_datapoints =3D 600

This is an example of some of the raw data for one of the datasources:

head -30 NT_MEMORY##NT_MEMORY##MEMmmPgsInptPrSc.csv
1195985611,0.016667
1195985671,2.01667
1195985738,7.08955
1195985799,0
1195985859,0
1195985919,0.737705
1195985982,0
1195986043,0
1195986103,0
1195986163,0
1195986227,0
1195986288,0
1195986348,0
1195986408,0
1195986471,0
1195986531,0
1195986591,0
1195986651,0.655738
1195986716,0.015625
1195986776,0
1195986836,0.016393
1195986896,0
1195986961,0
1195987021,0
1195987081,0
1195987141,0
1195987206,0
1195987266,0
1195987327,0
1195987387,0.016667

which translates to the following times:

$ head -30 NT_MEMORY##NT_MEMORY##MEMmmPgsInptPrSc.csv | cut -d, -f1 | xarg=
s -i s2d {}
Sun Nov 25 09:13:31 GMT 2007
Sun Nov 25 09:14:31 GMT 2007
Sun Nov 25 09:15:38 GMT 2007
Sun Nov 25 09:16:39 GMT 2007
Sun Nov 25 09:17:39 GMT 2007
Sun Nov 25 09:18:39 GMT 2007
Sun Nov 25 09:19:42 GMT 2007
Sun Nov 25 09:20:43 GMT 2007
Sun Nov 25 09:21:43 GMT 2007
Sun Nov 25 09:22:43 GMT 2007
Sun Nov 25 09:23:47 GMT 2007
Sun Nov 25 09:24:48 GMT 2007
Sun Nov 25 09:25:48 GMT 2007
Sun Nov 25 09:26:48 GMT 2007
Sun Nov 25 09:27:51 GMT 2007
Sun Nov 25 09:28:51 GMT 2007
Sun Nov 25 09:29:51 GMT 2007
Sun Nov 25 09:30:51 GMT 2007
Sun Nov 25 09:31:56 GMT 2007
Sun Nov 25 09:32:56 GMT 2007
Sun Nov 25 09:33:56 GMT 2007
Sun Nov 25 09:34:56 GMT 2007
Sun Nov 25 09:36:01 GMT 2007
Sun Nov 25 09:37:01 GMT 2007
Sun Nov 25 09:38:01 GMT 2007
Sun Nov 25 09:39:01 GMT 2007
Sun Nov 25 09:40:06 GMT 2007
Sun Nov 25 09:41:06 GMT 2007
Sun Nov 25 09:42:07 GMT 2007
Sun Nov 25 09:43:07 GMT 2007

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body.hmmessage
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FONT-SIZE: 10pt;
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<body class=3D'hmmessage'>
Hi, I'm having problems with some of my rrd's because all the PDP's =
are nans eventhough the values which go into each PDP are present at the re=
quired 60 second intervals. A few values may come in slightly over the 60 s=
econds, but I have set the heartbeat 120, so as long as there is data withi=
n this time, I would have expected to get a PDP. Can anyone see where I'm g=
oing wrong? Many thanks, Ed. This is the info for one =
of the rrd's: filename =3D "Windows_Memory_Paging_Usage.rrd" rrd_=
version =3D "0003" step =3D 60 last_update =3D 1196244176 ds[MEMmm=
PgsInptPrSc].type =3D "GAUGE" ds[MEMmmPgsInptPrSc].minimal_heartbeat =3D=
120 ds[MEMmmPgsInptPrSc].min =3D NaN ds[MEMmmPgsInptPrSc].max =3D Na=
N ds[MEMmmPgsInptPrSc].last_ds =3D "UNKN" ds[MEMmmPgsInptPrSc].value =
=3D 0.0000000000e+00 ds[MEMmmPgsInptPrSc].unknown_sec =3D 56 ds[MEMmm=
PgsOtptPrSc].type =3D "GAUGE" ds[MEMmmPgsOtptPrSc].minimal_heartbeat =3D=
120 ds[MEMmmPgsOtptPrSc].min =3D NaN ds[MEMmmPgsOtptPrSc].max =3D Na=
N ds[MEMmmPgsOtptPrSc].last_ds =3D "UNKN" ds[MEMmmPgsOtptPrSc].value =
=3D 0.0000000000e+00 ds[MEMmmPgsOtptPrSc].unknown_sec =3D 56 rra[0].c=
f =3D "AVERAGE" rra[0].rows =3D 26352 rra[0].pdp_per_row =3D 5 rra=
[0].xff =3D 5.0000000000e-01 rra[0].cdp_prep[0].value =3D NaN rra[0].=
cdp_prep[0].unknown_datapoints =3D 2 rra[0].cdp_prep[1].value =3D NaN<br=
>rra[0].cdp_prep[1].unknown_datapoints =3D 2 rra[1].cf =3D "AVERAGE" =
rra[1].rows =3D 8784 rra[1].pdp_per_row =3D 30 rra[1].xff =3D 5.00000=
00000e-01 rra[1].cdp_prep[0].value =3D NaN rra[1].cdp_prep[0].unknown=
_datapoints =3D 2 rra[1].cdp_prep[1].value =3D NaN rra[1].cdp_prep[1]=
..unknown_datapoints =3D 2 rra[2].cf =3D "AVERAGE" rra[2].rows =3D 439=
2 rra[2].pdp_per_row =3D 120 rra[2].xff =3D 5.0000000000e-01 rra[2=
].cdp_prep[0].value =3D NaN rra[2].cdp_prep[0].unknown_datapoints =3D 2<=
br>rra[2].cdp_prep[1].value =3D NaN rra[2].cdp_prep[1].unknown_datapoint=
s =3D 2 rra[3].cf =3D "AVERAGE" rra[3].rows =3D 1098 rra[3].pdp_pe=
r_row =3D 1440 rra[3].xff =3D 5.0000000000e-01 rra[3].cdp_prep[0].val=
ue =3D NaN rra[3].cdp_prep[0].unknown_datapoints =3D 602 rra[3].cdp_p=
rep[1].value =3D 1.0000000000e+00 rra[3].cdp_prep[1].unknown_datapoints =
=3D 600 rra[4].cf =3D "MAX" rra[4].rows =3D 26352 rra[4].pdp_per_r=
ow =3D 5 rra[4].xff =3D 5.0000000000e-01 rra[4].cdp_prep[0].value =3D=
NaN rra[4].cdp_prep[0].unknown_datapoints =3D 2 rra[4].cdp_prep[1].v=
alue =3D NaN rra[4].cdp_prep[1].unknown_datapoints =3D 2 rra[5].cf =
=3D "MAX" rra[5].rows =3D 8784 rra[5].pdp_per_row =3D 30 rra[5].xf=
f =3D 5.0000000000e-01 rra[5].cdp_prep[0].value =3D NaN rra[5].cdp_pr=
ep[0].unknown_datapoints =3D 2 rra[5].cdp_prep[1].value =3D NaN rra[5=
].cdp_prep[1].unknown_datapoints =3D 2 rra[6].cf =3D "MAX" rra[6].row=
s =3D 4392 rra[6].pdp_per_row =3D 120 rra[6].xff =3D 5.0000000000e-01=
 rra[6].cdp_prep[0].value =3D NaN rra[6].cdp_prep[0].unknown_datapoin=
ts =3D 2 rra[6].cdp_prep[1].value =3D NaN rra[6].cdp_prep[1].unknown_=
datapoints =3D 2 rra[7].cf =3D "MAX" rra[7].rows =3D 1098 rra[7].p=
dp_per_row =3D 1440 rra[7].xff =3D 5.0000000000e-01 rra[7].cdp_prep[0=
].value =3D NaN rra[7].cdp_prep[0].unknown_datapoints =3D 602 rra[7].=
cdp_prep[1].value =3D 5.0000000000e-01 rra[7].cdp_prep[1].unknown_datapo=
ints =3D 600 rra[8].cf =3D "MIN" rra[8].rows =3D 26352 rra[8].pdp_=
per_row =3D 5 rra[8].xff =3D 5.0000000000e-01 rra[8].cdp_prep[0].valu=
e =3D NaN rra[8].cdp_prep[0].unknown_datapoints =3D 2 rra[8].cdp_prep=
[1].value =3D NaN rra[8].cdp_prep[1].unknown_datapoints =3D 2 rra[9].=
cf =3D "MIN" rra[9].rows =3D 8784 rra[9].pdp_per_row =3D 30 rra[9]=
..xff =3D 5.0000000000e-01 rra[9].cdp_prep[0].value =3D NaN rra[9].cdp=
_prep[0].unknown_datapoints =3D 2 rra[9].cdp_prep[1].value =3D NaN rr=
a[9].cdp_prep[1].unknown_datapoints =3D 2 rra[10].cf =3D "MIN" rra[10=
].rows =3D 4392 rra[10].pdp_per_row =3D 120 rra[10].xff =3D 5.0000000=
000e-01 rra[10].cdp_prep[0].value =3D NaN rra[10].cdp_prep[0].unknown=
_datapoints =3D 2 rra[10].cdp_prep[1].value =3D NaN rra[10].cdp_prep[=
1].unknown_datapoints =3D 2 rra[11].cf =3D "MIN" rra[11].rows =3D 109=
8 rra[11].pdp_per_row =3D 1440 rra[11].xff =3D 5.0000000000e-01 rr=
a[11].cdp_prep[0].value =3D NaN rra[11].cdp_prep[0].unknown_datapoints =
=3D 602 rra[11].cdp_prep[1].value =3D 5.0000000000e-01 rra[11].cdp_pr=
ep[1].unknown_datapoints =3D 600 This is an example of some of t=
he raw data for one of the datasources: head -30 NT_MEMORY##NT_MEMOR=
Y##MEMmmPgsInptPrSc.csv 1195985611,0.016667 1195985671,2.01667 119=
5985738,7.08955 1195985799,0 1195985859,0 1195985919,0.737705 1=
195985982,0 1195986043,0 1195986103,0 119 5986163,0 1195986227,0=
 1195986288,0 1195986348,0 1195986408,01195986471,0 1195986=
531,0 1195986591,0 1195986651,0.655738 11 95986716,0.015625 1195=
986776,0 1195986836,0.016393 1195986896,0 1195986961,0 11959870=
21,0 1195987081,0 1195987141,0 1195987206 ,0 1195987266,0 119=
5987327,0 1195987387,0.016667 which translates to the following t=
imes: $ head -30 NT_MEMORY##NT_MEMORY##MEMmmPgsInptPrSc.csv  | =
cut -d, -f1 | xargs -i s2d {} Sun Nov 25 09:13:31 GMT 2007 Sun Nov 25=
09:14:31 GMT 2007 Sun Nov 25 09:15:38 GMT 2007 Sun Nov 25 09:16:39 G=
MT 2007 Sun Nov 25 09:17:39 GMT 2007 Sun Nov 25 09:18:39 GMT 2007 =
Sun Nov 25 09:19:42 GMT 2007 Sun Nov 25 09:20:43 GMT 2007 Sun Nov 25 =
09:21:43 GMT 2007 Sun Nov 25 09:22:43 GMT 2007 Sun Nov 25 09:23:47 GM=
T 2007 Sun Nov 25 09:24:48 GMT 2007 Sun Nov 25 09:25:48 GMT 2007 S=
un Nov 25 09:26:48 GMT 2007 Sun Nov 25 09:27:51 GMT 2007 Sun Nov 25 0=
9:28:51 GMT 2007 Sun Nov 25 09:29:51 GMT 2007 Sun Nov 25 09:30:51 GMT=
2007 Sun Nov 25 09:31:56 GMT 2007 Sun Nov 25 09:32:56 GMT 2007 Su=
n Nov 25 09:33:56 GMT 2007 Sun Nov 25 09:34:56 GMT 2007 Sun Nov 25 09=
:36:01 GMT 2007 Sun Nov 25 09:37:01 GMT 2007 Sun Nov 25 09:38:01 GMT =
2007 Sun Nov 25 09:39:01 GMT 2007 Sun Nov 25 09:40:06 GMT 2007 Sun=
Nov 25 09:41:06 GMT 2007 Sun Nov 25 09:42:07 GMT 2007 Sun Nov 25 09:=
43:07 GMT 2007 <hr />Get closer to the jungle=85 <a href=
=3D'http://entertainment.uk.msn.com/tv/realitytv/im-a-celebrity/' target=3D=
'_new'>I'm a Celebrity Get Me Out Of Here!</a></body>
</html>=

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