Re: Cacti created rrd files - have I understood correctly?

Oh! I pasted the info from the wrong rrd file :)

That was not in the default style of Cacti, the output below is from a
default style Cacti created rrd file. So it looks like we have two
data sources for a router interface, trafifc_in and traffic_out. We
then have four consolidate functions. Comparing this rrdtool output to
that in my last email, assuming I have understood the various
tutorials and guides correctly, it is these four consolidate functions
defined here that are removing data accuracy over time, yes;

We have two streams, AVERAGE and MAX and four stages of resolution
(four sets of consolidate parameters for both MAX and AVERAGE).

Is that correct?

In my previous email, that graph should never loose accuracy, correct?
Because the consolidate function has pdp_per_row =1 and no cdp
configuration?

Many thanks as always,
James.

root@server:/var/lib/cacti/rra# rrdtool info lalala.rrd
filename = "lalala"
rrd_version = "0003"
step = 300
last_update = 1372952702
ds[traffic_out].type = "COUNTER"
ds[traffic_out].minimal_heartbeat = 600
ds[traffic_out].min = 0.0000000000e+00
ds[traffic_out].max = 1.0000000000e+09
ds[traffic_out].last_ds = "1437943606"
ds[traffic_out].value = 5.1824832215e+03
ds[traffic_out].unknown_sec = 0
ds[traffic_in].type = "COUNTER"
ds[traffic_in].minimal_heartbeat = 600
ds[traffic_in].min = 0.0000000000e+00
ds[traffic_in].max = 1.0000000000e+09
ds[traffic_in].last_ds = "2703612970"
ds[traffic_in].value = 6.6731006711e+03
ds[traffic_in].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 600
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 = 700
rra[1].pdp_per_row = 6
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = 1.5153367923e+04
rra[1].cdp_prep[0].unknown_datapoints = 0
rra[1].cdp_prep[1].value = 1.0064346431e+04
rra[1].cdp_prep[1].unknown_datapoints = 0
rra[2].cf = "AVERAGE"
rra[2].rows = 775
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = 6.1901419972e+04
rra[2].cdp_prep[0].unknown_datapoints = 0
rra[2].cdp_prep[1].value = 7.0289048628e+04
rra[2].cdp_prep[1].unknown_datapoints = 0
rra[3].cf = "AVERAGE"
rra[3].rows = 797
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = 4.9867273042e+05
rra[3].cdp_prep[0].unknown_datapoints = 0
rra[3].cdp_prep[1].value = 6.3343303006e+05
rra[3].cdp_prep[1].unknown_datapoints = 0
rra[4].cf = "MAX"
rra[4].rows = 600
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[5].cf = "MAX"
rra[5].rows = 700
rra[5].pdp_per_row = 6
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = 9.8909800000e+03
rra[5].cdp_prep[0].unknown_datapoints = 0
rra[5].cdp_prep[1].value = 3.3895041333e+03
rra[5].cdp_prep[1].unknown_datapoints = 0
rra[6].cf = "MAX"
rra[6].rows = 775
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = 9.8909800000e+03
rra[6].cdp_prep[0].unknown_datapoints = 0
rra[6].cdp_prep[1].value = 3.4896453545e+03
rra[6].cdp_prep[1].unknown_datapoints = 0
rra[7].cf = "MAX"
rra[7].rows = 797
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = 9.8909800000e+03
rra[7].cdp_prep[0].unknown_datapoints = 0
rra[7].cdp_prep[1].value = 3.4976059667e+03
rra[7].cdp_prep[1].unknown_datapoints = 0

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