The issue I have is that all of my graphs are reporting NaN values, even the graphs that are created for my local machine.
Here are some outputs I hope will be useful. Thanks everyone.
Code: Select all
# rrdtool fetch rra/localhost_users_6.rrd AVERAGE
1333969500: nan
1333969800: nan
1333970100: nan
1333970400: nan
1333970700: nan
1333971000: nan
1333971300: nan
1333971600: nan
1333971900: nan
1333972200: nan
1333972500: nan
1333972800: nan
1333973100: nan
1333973400: nan
1333973700: nan
1333974000: nan
1333974300: nan
1333974600: nan
1333974900: nan
1333975200: nan
1333975500: nan
1333975800: nan
1333976100: nan
1333976400: nan
1333976700: nan
1333977000: nan
1333977300: nan
1333977600: nan
1333977900: nan
1333978200: nan
1333978500: nan
1333978800: nan
1333979100: nan
1333979400: nan
1333979700: nan
1333980000: nan
1333980300: nan
1333980600: nan
1333980900: nan
1333981200: nan
1333981500: nan
1333981800: nan
1333982100: nan
1333982400: nan
1333982700: nan
1333983000: nan
1333983300: nan
1333983600: nan
1333983900: nan
1333984200: nan
# rrdtool info rra/localhost_users_6.rrd
filename = "rra/localhost_users_6.rrd"
rrd_version = "0003"
step = 300
last_update = 1334003461
header_size = 1888
ds[users].index = 0
ds[users].type = "GAUGE"
ds[users].minimal_heartbeat = 600
ds[users].min = 0.0000000000e+00
ds[users].max = 5.0000000000e+02
ds[users].last_ds = "2"
ds[users].value = 1.2200000000e+02
ds[users].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 600
rra[0].cur_row = 583
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[1].cf = "AVERAGE"
rra[1].rows = 700
rra[1].cur_row = 242
rra[1].pdp_per_row = 6
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = 0.0000000000e+00
rra[1].cdp_prep[0].unknown_datapoints = 0
rra[2].cf = "AVERAGE"
rra[2].rows = 775
rra[2].cur_row = 667
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = 1.2000000000e+01
rra[2].cdp_prep[0].unknown_datapoints = 0
rra[3].cf = "AVERAGE"
rra[3].rows = 797
rra[3].cur_row = 236
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = 1.4000000000e+01
rra[3].cdp_prep[0].unknown_datapoints = 239
rra[4].cf = "MAX"
rra[4].rows = 600
rra[4].cur_row = 530
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[5].cf = "MAX"
rra[5].rows = 700
rra[5].cur_row = 382
rra[5].pdp_per_row = 6
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = -inf
rra[5].cdp_prep[0].unknown_datapoints = 0
rra[6].cf = "MAX"
rra[6].rows = 775
rra[6].cur_row = 599
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = 2.0000000000e+00
rra[6].cdp_prep[0].unknown_datapoints = 0
rra[7].cf = "MAX"
rra[7].rows = 797
rra[7].cur_row = 350
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = 2.0000000000e+00
rra[7].cdp_prep[0].unknown_datapoints = 239