[rrd-users] Dump - restore fails

[Erestor Elensar]

Hi,

I'm moving my rrd files from Windows to a Linux machine, for this i have
done on the Windows machine a  rrdtool dump and on the Linux machine a
rrdtool restore.

If i do a rrdtool fetch xx.rrd AVERAGE to check i see on the Windows machine
1159177800:  -1.#IND000000e+000
but on the Linix machine:
1159183800: nan
this for all entries

whats going wrong here, i can't affort to lose all of my historic data


A info gives
Windows
filename = "bxl.rrd"
rrd_version = "0001"
step = 300
last_update = 1152349801
ds[cpu].type = "GAUGE"
ds[cpu].minimal_heartbeat = 600
ds[cpu].min = 0.0000000000e+000
ds[cpu].max = 1.0000000000e+002
ds[cpu].last_ds = "UNKN"
ds[cpu].value = 0.0000000000e+000
ds[cpu].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 600
rra[0].pdp_per_row = 1
rra[0].xff = 5.0000000000e-001
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].pdp_per_row = 6
rra[1].xff = 5.0000000000e-001
rra[1].cdp_prep[0].value = 0.0000000000e+000
rra[1].cdp_prep[0].unknown_datapoints = 1
rra[2].cf = "AVERAGE"
rra[2].rows = 775
rra[2].pdp_per_row = 24
rra[2].xff = 5.0000000000e-001
rra[2].cdp_prep[0].value = 0.0000000000e+000
rra[2].cdp_prep[0].unknown_datapoints = 13
rra[3].cf = "AVERAGE"
rra[3].rows = 797
rra[3].pdp_per_row = 288
rra[3].xff = 5.0000000000e-001
rra[3].cdp_prep[0].value = 0.0000000000e+000
rra[3].cdp_prep[0].unknown_datapoints = 109
rra[4].cf = "MAX"
rra[4].rows = 600
rra[4].pdp_per_row = 1
rra[4].xff = 5.0000000000e-001
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].pdp_per_row = 6
rra[5].xff = 5.0000000000e-001
rra[5].cdp_prep[0].value = 0.0000000000e+000
rra[5].cdp_prep[0].unknown_datapoints = 1
rra[6].cf = "MAX"
rra[6].rows = 775
rra[6].pdp_per_row = 24
rra[6].xff = 5.0000000000e-001
rra[6].cdp_prep[0].value = 0.0000000000e+000
rra[6].cdp_prep[0].unknown_datapoints = 13
rra[7].cf = "MAX"
rra[7].rows = 797
rra[7].pdp_per_row = 288
rra[7].xff = 5.0000000000e-001
rra[7].cdp_prep[0].value = 0.0000000000e+000
rra[7].cdp_prep[0].unknown_datapoints = 109


Linux
rrd_version = "0003"
step = 300
last_update = 1152349801
ds[cpu].type = "GAUGE"
ds[cpu].minimal_heartbeat = 600
ds[cpu].min = 0.0000000000e+00
ds[cpu].max = 1.0000000000e+02
ds[cpu].last_ds = "UNKN"
ds[cpu].value = 0.0000000000e+00
ds[cpu].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[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 = 0.0000000000e+00
rra[1].cdp_prep[0].unknown_datapoints = 1
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 = 0.0000000000e+00
rra[2].cdp_prep[0].unknown_datapoints = 13
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 = 0.0000000000e+00
rra[3].cdp_prep[0].unknown_datapoints = 109
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[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 = 0.0000000000e+00
rra[5].cdp_prep[0].unknown_datapoints = 1
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 = 0.0000000000e+00
rra[6].cdp_prep[0].unknown_datapoints = 13
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 = 0.0000000000e+00
rra[7].cdp_prep[0].unknown_datapoints = 109


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