CactiEZ - No data after 6 months

[CaffeineGeek]

I have a funny feeling the answer is easy and I am overlooking something simple. So far everything has been running rock solid and graphs look great except for the yearly graph. I am only able to see 6 months worth of data. At the beginning of each month, something is purging the data and the graph is only half filled.

The version I am running is 0.8.7c inside VMware ESX4i. Thanks for the help.

[gandalf]

Did you resize the rrd file?
Please post output of rrdtool info against that rrd file
R.

[CaffeineGeek]

Hi Gandalf
Thanks for your help. No, I did not resize the RRD file. Everything is pretty much default.

Here is the output from one of my RRD files:
filename = "/var/www/html/rra/xxxxxxxx_traffic_in_28.rrd"
rrd_version = "0003"
step = 60
last_update = 1281826824
ds[traffic_in].type = "COUNTER"
ds[traffic_in].minimal_heartbeat = 120
ds[traffic_in].min = 0.0000000000e+00
ds[traffic_in].max = 1.0000000000e+08
ds[traffic_in].last_ds = "283271688"
ds[traffic_in].value = 3.8932776393e+06
ds[traffic_in].unknown_sec = 0
ds[traffic_out].type = "COUNTER"
ds[traffic_out].minimal_heartbeat = 120
ds[traffic_out].min = 0.0000000000e+00
ds[traffic_out].max = 1.0000000000e+08
ds[traffic_out].last_ds = "1725323808"
ds[traffic_out].value = 1.8202780328e+05
ds[traffic_out].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 10080
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 = 25920
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 = 2250
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = 1.3336072491e+06
rra[2].cdp_prep[0].unknown_datapoints = 0
rra[2].cdp_prep[1].value = 1.9319688772e+05
rra[2].cdp_prep[1].unknown_datapoints = 0
rra[3].cf = "AVERAGE"
rra[3].rows = 9000
rra[3].pdp_per_row = 6
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = 0.0000000000e+00
rra[3].cdp_prep[0].unknown_datapoints = 0
rra[3].cdp_prep[1].value = 0.0000000000e+00
rra[3].cdp_prep[1].unknown_datapoints = 0
rra[4].cf = "AVERAGE"
rra[4].rows = 797
rra[4].pdp_per_row = 288
rra[4].xff = 5.0000000000e-01
rra[4].cdp_prep[0].value = 1.8290736923e+07
rra[4].cdp_prep[0].unknown_datapoints = 0
rra[4].cdp_prep[1].value = 1.9050343252e+08
rra[4].cdp_prep[1].unknown_datapoints = 0
rra[5].cf = "MIN"
rra[5].rows = 10080
rra[5].pdp_per_row = 1
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = NaN
rra[5].cdp_prep[0].unknown_datapoints = 0
rra[5].cdp_prep[1].value = NaN
rra[5].cdp_prep[1].unknown_datapoints = 0
rra[6].cf = "MIN"
rra[6].rows = 25920
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 = "MIN"
rra[7].rows = 2250
rra[7].pdp_per_row = 24
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = 3.2481739167e+04
rra[7].cdp_prep[0].unknown_datapoints = 0
rra[7].cdp_prep[1].value = 3.2952491667e+03
rra[7].cdp_prep[1].unknown_datapoints = 0
rra[8].cf = "MIN"
rra[8].rows = 9000
rra[8].pdp_per_row = 6
rra[8].xff = 5.0000000000e-01
rra[8].cdp_prep[0].value = 1.6613969518e+05
rra[8].cdp_prep[0].unknown_datapoints = 0
rra[8].cdp_prep[1].value = 6.9933502231e+03
rra[8].cdp_prep[1].unknown_datapoints = 0
rra[9].cf = "MIN"
rra[9].rows = 797
rra[9].pdp_per_row = 288
rra[9].xff = 5.0000000000e-01
rra[9].cdp_prep[0].value = 1.4019910000e+04
rra[9].cdp_prep[0].unknown_datapoints = 0
rra[9].cdp_prep[1].value = 1.2137513889e+03
rra[9].cdp_prep[1].unknown_datapoints = 0
rra[10].cf = "MAX"
rra[10].rows = 10080
rra[10].pdp_per_row = 1
rra[10].xff = 5.0000000000e-01
rra[10].cdp_prep[0].value = NaN
rra[10].cdp_prep[0].unknown_datapoints = 0
rra[10].cdp_prep[1].value = NaN
rra[10].cdp_prep[1].unknown_datapoints = 0
rra[11].cf = "MAX"
rra[11].rows = 25920
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 = "MAX"
rra[12].rows = 2250
rra[12].pdp_per_row = 24
rra[12].xff = 5.0000000000e-01
rra[12].cdp_prep[0].value = 2.0871724115e+05
rra[12].cdp_prep[0].unknown_datapoints = 0
rra[12].cdp_prep[1].value = 3.4786811111e+04
rra[12].cdp_prep[1].unknown_datapoints = 0
rra[13].cf = "MAX"
rra[13].rows = 9000
rra[13].pdp_per_row = 6
rra[13].xff = 5.0000000000e-01
rra[13].cdp_prep[0].value = 1.6613969518e+05
rra[13].cdp_prep[0].unknown_datapoints = 0
rra[13].cdp_prep[1].value = 6.9933502231e+03
rra[13].cdp_prep[1].unknown_datapoints = 0
rra[14].cf = "MAX"
rra[14].rows = 797
rra[14].pdp_per_row = 288
rra[14].xff = 5.0000000000e-01
rra[14].cdp_prep[0].value = 2.1963329778e+05
rra[14].cdp_prep[0].unknown_datapoints = 0
rra[14].cdp_prep[1].value = 3.1698244943e+06
rra[14].cdp_prep[1].unknown_datapoints = 0
rra[15].cf = "LAST"
rra[15].rows = 10080
rra[15].pdp_per_row = 1
rra[15].xff = 5.0000000000e-01
rra[15].cdp_prep[0].value = NaN
rra[15].cdp_prep[0].unknown_datapoints = 0
rra[15].cdp_prep[1].value = NaN
rra[15].cdp_prep[1].unknown_datapoints = 0
rra[16].cf = "LAST"
rra[16].rows = 25920
rra[16].pdp_per_row = 1
rra[16].xff = 5.0000000000e-01
rra[16].cdp_prep[0].value = NaN
rra[16].cdp_prep[0].unknown_datapoints = 0
rra[16].cdp_prep[1].value = NaN
rra[16].cdp_prep[1].unknown_datapoints = 0
rra[17].cf = "LAST"
rra[17].rows = 2250
rra[17].pdp_per_row = 24
rra[17].xff = 5.0000000000e-01
rra[17].cdp_prep[0].value = 1.6613969518e+05
rra[17].cdp_prep[0].unknown_datapoints = 0
rra[17].cdp_prep[1].value = 6.9933502231e+03
rra[17].cdp_prep[1].unknown_datapoints = 0
rra[18].cf = "LAST"
rra[18].rows = 9000
rra[18].pdp_per_row = 6
rra[18].xff = 5.0000000000e-01
rra[18].cdp_prep[0].value = 1.6613969518e+05
rra[18].cdp_prep[0].unknown_datapoints = 0
rra[18].cdp_prep[1].value = 6.9933502231e+03
rra[18].cdp_prep[1].unknown_datapoints = 0
rra[19].cf = "LAST"
rra[19].rows = 797
rra[19].pdp_per_row = 288
rra[19].xff = 5.0000000000e-01
rra[19].cdp_prep[0].value = 1.6613969518e+05
rra[19].cdp_prep[0].unknown_datapoints = 0
rra[19].cdp_prep[1].value = 6.9933502231e+03
rra[19].cdp_prep[1].unknown_datapoints = 0

[gandalf]

These are definitively non-standard rrd file definitions.
Multiply the "tspe" size with the numbers of pdp to understand the total timespan covered. Without calculating it on my own, I'm quite sure that this is the root cause
R.

[CaffeineGeek]

Thanks again Gandalf!

You nudged me in the right direction. Looks like that is the issue. I'll be tinkering around with RRAs.