[rrd-users] rrdtool info

[Ilo Lorusso]

Hi,
 
I currently use rrd to graph pix firewall statisics and every month which
works great :)
Now I need to save this info to a text file for monthly reports. (The
averages from the GPRINTS)
I'm guessing i could use the info I get from "rdtool info myrrd.rrd"but dont
know how to interpret the output.
 
Can some one help me out or point me to some documentation...
 
Thanks, 
 
 
filename = "pixjnbint-pix-firewall-inside-interface.rrd"
rrd_version = "0001"
step = 300
last_update = 1103880009
ds[ifInOctets].type = "COUNTER"
ds[ifInOctets].minimal_heartbeat = 900
ds[ifInOctets].min = 0.0000000000e+00
ds[ifInOctets].max = 1.0000000000e+08
ds[ifInOctets].last_ds = "34121219"
ds[ifInOctets].value = 6.1852047000e+05
ds[ifInOctets].unknown_sec = 0
ds[ifOutOctets].type = "COUNTER"
ds[ifOutOctets].minimal_heartbeat = 900
ds[ifOutOctets].min = 0.0000000000e+00
ds[ifOutOctets].max = 1.0000000000e+08
ds[ifOutOctets].last_ds = "1716536087"
ds[ifOutOctets].value = 2.0107461300e+06
ds[ifOutOctets].unknown_sec = 0
ds[ifOperStatus].type = "GAUGE"
ds[ifOperStatus].minimal_heartbeat = 900
ds[ifOperStatus].min = 0.0000000000e+00
ds[ifOperStatus].max = 1.0000000000e+02
ds[ifOperStatus].last_ds = "UNKN"
ds[ifOperStatus].value = 9.0000000000e+02
ds[ifOperStatus].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 2304
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 = 1536
rra[1].pdp_per_row = 6
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = 4.0452607255e+05
rra[1].cdp_prep[0].unknown_datapoints = 0
rra[1].cdp_prep[1].value = 9.3130635441e+05
rra[1].cdp_prep[1].unknown_datapoints = 0
rra[1].cdp_prep[2].value = 4.0000000000e+02
rra[1].cdp_prep[2].unknown_datapoints = 0
rra[2].cf = "AVERAGE"
rra[2].rows = 2268
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = 1.8655566066e+06
rra[2].cdp_prep[0].unknown_datapoints = 0
rra[2].cdp_prep[1].value = 3.4052933317e+06
rra[2].cdp_prep[1].unknown_datapoints = 0
rra[2].cdp_prep[2].value = 1.6000000000e+03
rra[2].cdp_prep[2].unknown_datapoints = 0
rra[3].cf = "AVERAGE"
rra[3].rows = 1890
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-01
rra[3].cdp_prep[0].value = 4.6397333063e+06
rra[3].cdp_prep[0].unknown_datapoints = 0
rra[3].cdp_prep[1].value = 9.3389884593e+06
rra[3].cdp_prep[1].unknown_datapoints = 0
rra[3].cdp_prep[2].value = 1.1200000000e+04
rra[3].cdp_prep[2].unknown_datapoints = 0
rra[4].cf = "MAX"
rra[4].rows = 2304
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 = 1536
rra[5].pdp_per_row = 6
rra[5].xff = 5.0000000000e-01
rra[5].cdp_prep[0].value = 1.4010923184e+05
rra[5].cdp_prep[0].unknown_datapoints = 0
rra[5].cdp_prep[1].value = 2.4343793779e+05
rra[5].cdp_prep[1].unknown_datapoints = 0
rra[5].cdp_prep[2].value = 1.0000000000e+02
rra[5].cdp_prep[2].unknown_datapoints = 0
rra[6].cf = "MAX"
rra[6].rows = 2268
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-01
rra[6].cdp_prep[0].value = 1.9686005072e+05
rra[6].cdp_prep[0].unknown_datapoints = 0
rra[6].cdp_prep[1].value = 2.4343793779e+05
rra[6].cdp_prep[1].unknown_datapoints = 0
rra[6].cdp_prep[2].value = 1.0000000000e+02
rra[6].cdp_prep[2].unknown_datapoints = 0
rra[7].cf = "MAX"
rra[7].rows = 1890
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-01
rra[7].cdp_prep[0].value = 1.9686005072e+05
rra[7].cdp_prep[0].unknown_datapoints = 0
rra[7].cdp_prep[1].value = 2.4343793779e+05
rra[7].cdp_prep[1].unknown_datapoints = 0
rra[7].cdp_prep[2].value = 1.0000000000e+02
rra[7].cdp_prep[2].unknown_datapoints = 0
rra[8].cf = "MIN"
rra[8].rows = 2304
rra[8].pdp_per_row = 1
rra[8].xff = 5.0000000000e-01
rra[8].cdp_prep[0].value = NaN
rra[8].cdp_prep[0].unknown_datapoints = 0
rra[8].cdp_prep[1].value = NaN
rra[8].cdp_prep[1].unknown_datapoints = 0
rra[8].cdp_prep[2].value = NaN
rra[8].cdp_prep[2].unknown_datapoints = 0
rra[9].cf = "MIN"
rra[9].rows = 1536
rra[9].pdp_per_row = 6
rra[9].xff = 5.0000000000e-01
rra[9].cdp_prep[0].value = 6.9742986915e+04
rra[9].cdp_prep[0].unknown_datapoints = 0
rra[9].cdp_prep[1].value = 2.2264017173e+05
rra[9].cdp_prep[1].unknown_datapoints = 0
rra[9].cdp_prep[2].value = 1.0000000000e+02
rra[9].cdp_prep[2].unknown_datapoints = 0
rra[10].cf = "MIN"
rra[10].rows = 2268
rra[10].pdp_per_row = 24
rra[10].xff = 5.0000000000e-01
rra[10].cdp_prep[0].value = 6.9742986915e+04
rra[10].cdp_prep[0].unknown_datapoints = 0
rra[10].cdp_prep[1].value = 1.8029881825e+05
rra[10].cdp_prep[1].unknown_datapoints = 0
rra[10].cdp_prep[2].value = 1.0000000000e+02
rra[10].cdp_prep[2].unknown_datapoints = 0
rra[11].cf = "MIN"
rra[11].rows = 1890
rra[11].pdp_per_row = 288
rra[11].xff = 5.0000000000e-01
rra[11].cdp_prep[0].value = 5.5641851739e+03
rra[11].cdp_prep[0].unknown_datapoints = 0
rra[11].cdp_prep[1].value = 1.1158657512e+04
rra[11].cdp_prep[1].unknown_datapoints = 0
rra[11].cdp_prep[2].value = 1.0000000000e+02
rra[11].cdp_prep[2].unknown_datapoints = 0

 

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