NaN on new graphs

[Arrgghh]

Hello,

My cacti install crashed and I had to restore it. It seems to works fine now for old graphs, but when i try to create new graphs, it fills of NaN.

I dont think that is a permission issue as the file grows permanently but I am only getting NaN. Here is a example of rrtool info I gat :

rrdtool info radio_traffic_in_456.rrd
filename = "radio_traffic_in_456.rrd"
rrd_version = "0003"
step = 60
last_update = 1303269602
ds[traffic_in].type = "COUNTER"
ds[traffic_in].minimal_heartbeat = 120
ds[traffic_in].min = 0.0000000000e+00
ds[traffic_in].max = 1.0000000000e+09
ds[traffic_in].last_ds = "2682942609"
ds[traffic_in].value = NaN
ds[traffic_in].unknown_sec = 2
ds[traffic_out].type = "COUNTER"
ds[traffic_out].minimal_heartbeat = 120
ds[traffic_out].min = 0.0000000000e+00
ds[traffic_out].max = 1.0000000000e+09
ds[traffic_out].last_ds = "2693537339"
ds[traffic_out].value = NaN
ds[traffic_out].unknown_sec = 2
rra[0].cf = "AVERAGE"
rra[0].rows = 500
rra[0].pdp_per_row = 1
rra[0].xff = 5.0000000000e-01
rra[0].cdp_prep[0].value = NaN
rra[0].cdp_prep[0].unknown_datapoints = 0
rra[0].cdp_prep[1].value = NaN
rra[0].cdp_prep[1].unknown_datapoints = 0
rra[1].cf = "AVERAGE"
rra[1].rows = 600
rra[1].pdp_per_row = 1
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = NaN
rra[1].cdp_prep[0].unknown_datapoints = 0
rra[1].cdp_prep[1].value = NaN
rra[1].cdp_prep[1].unknown_datapoints = 0
rra[2].cf = "AVERAGE"
rra[2].rows = 700
rra[2].pdp_per_row = 6
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = NaN
rra[2].cdp_prep[0].unknown_datapoints = 2
rra[2].cdp_prep[1].value = NaN
rra[2].cdp_prep[1].unknown_datapoints = 2
rra[3].cf = "AVERAGE"
rra[3].rows = 4800
rra[3].pdp_per_row = 1
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = NaN
rra[3].cdp_prep[0].unknown_datapoints = 0
rra[3].cdp_prep[1].value = NaN
rra[3].cdp_prep[1].unknown_datapoints = 0
rra[4].cf = "AVERAGE"
rra[4].rows = 775
rra[4].pdp_per_row = 24
rra[4].xff = 5.0000000000e-01
rra[4].cdp_prep[0].value = NaN
rra[4].cdp_prep[0].unknown_datapoints = 8
rra[4].cdp_prep[1].value = NaN
rra[4].cdp_prep[1].unknown_datapoints = 8
rra[5].cf = "AVERAGE"
rra[5].rows = 797
rra[5].pdp_per_row = 288
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = NaN
rra[5].cdp_prep[0].unknown_datapoints = 200
rra[5].cdp_prep[1].value = NaN
rra[5].cdp_prep[1].unknown_datapoints = 200
rra[6].cf = "MAX"
rra[6].rows = 500
rra[6].pdp_per_row = 1
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = NaN
rra[6].cdp_prep[0].unknown_datapoints = 0
rra[6].cdp_prep[1].value = NaN
rra[6].cdp_prep[1].unknown_datapoints = 0
rra[7].cf = "MAX"
rra[7].rows = 600
rra[7].pdp_per_row = 1
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = NaN
rra[7].cdp_prep[0].unknown_datapoints = 0
rra[7].cdp_prep[1].value = NaN
rra[7].cdp_prep[1].unknown_datapoints = 0
rra[8].cf = "MAX"
rra[8].rows = 700
rra[8].pdp_per_row = 6
rra[8].xff = 5.0000000000e-01
rra[8].cdp_prep[0].value = NaN
rra[8].cdp_prep[0].unknown_datapoints = 2
rra[8].cdp_prep[1].value = NaN
rra[8].cdp_prep[1].unknown_datapoints = 2
rra[9].cf = "MAX"
rra[9].rows = 775
rra[9].pdp_per_row = 24
rra[9].xff = 5.0000000000e-01
rra[9].cdp_prep[0].value = NaN
rra[9].cdp_prep[0].unknown_datapoints = 8
rra[9].cdp_prep[1].value = NaN
rra[9].cdp_prep[1].unknown_datapoints = 8
rra[10].cf = "MAX"
rra[10].rows = 797
rra[10].pdp_per_row = 288
rra[10].xff = 5.0000000000e-01
rra[10].cdp_prep[0].value = NaN
rra[10].cdp_prep[0].unknown_datapoints = 200
rra[10].cdp_prep[1].value = NaN
rra[10].cdp_prep[1].unknown_datapoints = 200
rra[11].cf = "LAST"
rra[11].rows = 600
rra[11].pdp_per_row = 1
rra[11].xff = 5.0000000000e-01
rra[11].cdp_prep[0].value = NaN
rra[11].cdp_prep[0].unknown_datapoints = 0
rra[11].cdp_prep[1].value = NaN
rra[11].cdp_prep[1].unknown_datapoints = 0
rra[12].cf = "LAST"
rra[12].rows = 700
rra[12].pdp_per_row = 6
rra[12].xff = 5.0000000000e-01
rra[12].cdp_prep[0].value = NaN
rra[12].cdp_prep[0].unknown_datapoints = 2
rra[12].cdp_prep[1].value = NaN
rra[12].cdp_prep[1].unknown_datapoints = 2
rra[13].cf = "LAST"
rra[13].rows = 775
rra[13].pdp_per_row = 24
rra[13].xff = 5.0000000000e-01
rra[13].cdp_prep[0].value = NaN
rra[13].cdp_prep[0].unknown_datapoints = 8
rra[13].cdp_prep[1].value = NaN
rra[13].cdp_prep[1].unknown_datapoints = 8
rra[14].cf = "LAST"
rra[14].rows = 797
rra[14].pdp_per_row = 288
rra[14].xff = 5.0000000000e-01
rra[14].cdp_prep[0].value = NaN
rra[14].cdp_prep[0].unknown_datapoints = 200
rra[14].cdp_prep[1].value = NaN
rra[14].cdp_prep[1].unknown_datapoints = 200

[noname]

>> step = 60

Does poller interval correspond to current Cacti settings?

[Arrgghh]

In Cacti settings, Poller Interval is set to 5mn, is it ok ?

[noname]

It doesn't match with your rrd file. (because 5min = 300sec)
For example, did you use data template whose settings is like this ?
- step = 60
- heartbeat = 120

See also: http://forums.cacti.net/viewtopic.php?f=2&t=41797

[Arrgghh]

That was it !

Thanks generic