NaN values

[alexw]

Hello,

I've just installed Cacti on Debian 5, using the aptitude packages, and while I have graphs, and the poller appears to be running every five minutes, I get no data in my graphs.

If I export the data from any of them, it's just NaN values for each point. For example...

"Title:","Localhost - Load Average"
"Vertical Label:","processes in the run queue"
"Start Date:","2009-10-03 11:00:00"
"End Date:","2009-10-04 10:55:00"
"Step:","300"
"Total Rows:","288"
"Graph ID:","2"
"Host ID:","1"
""
"Date","1 Minute Average","5 Minute Average","15 Minute Average","col4-cdefg"
"2009-10-03 11:00:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-03 11:05:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-03 11:10:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-03 11:15:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-03 11:20:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-03 11:25:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-03 11:30:00","NaN","NaN","NaN","0.0000000000e+00";.
*snip*
"2009-10-04 10:00:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:05:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:10:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:15:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:20:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:25:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:30:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:35:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:40:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:45:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:50:00","NaN","NaN","NaN","0.0000000000e+00"
"2009-10-04 10:55:00","NaN","NaN","NaN","NaN"

..you get the idea.

Anyone got any suggestion?

(thank you in advance)

[engeishi]

Have you tried this debugging process?
http://docs.cacti.net/manual:087:4_help ... #debugging

[alexw]

Ok, I've been through the debug process and things seems to be ok.

If I do...

rrdtool info localhost_load_1min_5.rrd

I get...

filename = "localhost_load_1min_5.rrd"
rrd_version = "0003"
step = 300
last_update = 1254663631
ds[load_1min].type = "GAUGE"
ds[load_1min].minimal_heartbeat = 600
ds[load_1min].min = 0.0000000000e+00
ds[load_1min].max = 5.0000000000e+02
ds[load_1min].last_ds = "0.35"
ds[load_1min].value = NaN
ds[load_1min].unknown_sec = 31
ds[load_5min].type = "GAUGE"
ds[load_5min].minimal_heartbeat = 600
ds[load_5min].min = 0.0000000000e+00
ds[load_5min].max = 5.0000000000e+02
ds[load_5min].last_ds = "0.37"
ds[load_5min].value = NaN
ds[load_5min].unknown_sec = 31
ds[load_15min].type = "GAUGE"
ds[load_15min].minimal_heartbeat = 600
ds[load_15min].min = 0.0000000000e+00
ds[load_15min].max = 5.0000000000e+02
ds[load_15min].last_ds = "0.36"
ds[load_15min].value = NaN
ds[load_15min].unknown_sec = 31
rra[0].cf = "AVERAGE"
rra[0].rows = 600
rra[0].cur_row = 547
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[0].cdp_prep[2].value = NaN
rra[0].cdp_prep[2].unknown_datapoints = 0
rra[1].cf = "AVERAGE"
rra[1].rows = 700
rra[1].cur_row = 495
rra[1].pdp_per_row = 6
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = NaN
rra[1].cdp_prep[0].unknown_datapoints = 2
rra[1].cdp_prep[1].value = NaN
rra[1].cdp_prep[1].unknown_datapoints = 2
rra[1].cdp_prep[2].value = NaN
rra[1].cdp_prep[2].unknown_datapoints = 2
rra[2].cf = "AVERAGE"
rra[2].rows = 775
rra[2].cur_row = 161
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = NaN
rra[2].cdp_prep[0].unknown_datapoints = 20
rra[2].cdp_prep[1].value = NaN
rra[2].cdp_prep[1].unknown_datapoints = 20
rra[2].cdp_prep[2].value = NaN
rra[2].cdp_prep[2].unknown_datapoints = 20
rra[3].cf = "AVERAGE"
rra[3].rows = 797
rra[3].cur_row = 719
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = NaN
rra[3].cdp_prep[0].unknown_datapoints = 164
rra[3].cdp_prep[1].value = NaN
rra[3].cdp_prep[1].unknown_datapoints = 164
rra[3].cdp_prep[2].value = NaN
rra[3].cdp_prep[2].unknown_datapoints = 164
rra[4].cf = "MAX"
rra[4].rows = 600
rra[4].cur_row = 531
rra[4].pdp_per_row = 1
rra[4].xff = 5.0000000000e-01
rra[4].cdp_prep[0].value = NaN
rra[4].cdp_prep[0].unknown_datapoints = 0
rra[4].cdp_prep[1].value = NaN
rra[4].cdp_prep[1].unknown_datapoints = 0
rra[4].cdp_prep[2].value = NaN
rra[4].cdp_prep[2].unknown_datapoints = 0
rra[5].cf = "MAX"
rra[5].rows = 700
rra[5].cur_row = 143
rra[5].pdp_per_row = 6
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = NaN
rra[5].cdp_prep[0].unknown_datapoints = 2
rra[5].cdp_prep[1].value = NaN
rra[5].cdp_prep[1].unknown_datapoints = 2
rra[5].cdp_prep[2].value = NaN
rra[5].cdp_prep[2].unknown_datapoints = 2
rra[6].cf = "MAX"
rra[6].rows = 775
rra[6].cur_row = 571
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = NaN
rra[6].cdp_prep[0].unknown_datapoints = 20
rra[6].cdp_prep[1].value = NaN
rra[6].cdp_prep[1].unknown_datapoints = 20
rra[6].cdp_prep[2].value = NaN
rra[6].cdp_prep[2].unknown_datapoints = 20
rra[7].cf = "MAX"
rra[7].rows = 797
rra[7].cur_row = 121
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = NaN
rra[7].cdp_prep[0].unknown_datapoints = 164
rra[7].cdp_prep[1].value = NaN
rra[7].cdp_prep[1].unknown_datapoints = 164
rra[7].cdp_prep[2].value = NaN
rra[7].cdp_prep[2].unknown_datapoints = 164

Still NaNs for all data. Any other things I should look at?

[engeishi]

What does your cacti.log says? Isn't there any kind of error messages?
And how about your rrd files permission?