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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