[rrd-users] Difference between rrdfetch and rrdgraph

[Alejandro Galue]

Hello,

I have a RRD with this properties:

filename = "147.framerelay1.rrd"
rrd_version = "0001"
step = 300
last_update = 1036066800
ds[ReceivedFECNs].type = "COUNTER"
ds[ReceivedFECNs].minimal_heartbeat = 600
ds[ReceivedFECNs].min = 0.0000000000e+00
ds[ReceivedFECNs].max = 1.2500000000e+06
ds[ReceivedFECNs].last_ds = "0"
ds[ReceivedFECNs].value = 0.0000000000e+00
ds[ReceivedFECNs].unknown_sec = 0
ds[ReceivedBECNs].type = "COUNTER"
ds[ReceivedBECNs].minimal_heartbeat = 600
ds[ReceivedBECNs].min = 0.0000000000e+00
ds[ReceivedBECNs].max = 1.2500000000e+06
ds[ReceivedBECNs].last_ds = "0"
ds[ReceivedBECNs].value = 0.0000000000e+00
ds[ReceivedBECNs].unknown_sec = 0
ds[SentFrames].type = "COUNTER"
ds[SentFrames].minimal_heartbeat = 600
ds[SentFrames].min = 0.0000000000e+00
ds[SentFrames].max = 1.2500000000e+06
ds[SentFrames].last_ds = "2800312"
ds[SentFrames].value = 0.0000000000e+00
ds[SentFrames].unknown_sec = 0
ds[SentOctets].type = "COUNTER"
ds[SentOctets].minimal_heartbeat = 600
ds[SentOctets].min = 0.0000000000e+00
ds[SentOctets].max = 1.2500000000e+07
ds[SentOctets].last_ds = "814187657"
ds[SentOctets].value = 0.0000000000e+00
ds[SentOctets].unknown_sec = 0
ds[ReceivedFrames].type = "COUNTER"
ds[ReceivedFrames].minimal_heartbeat = 600
ds[ReceivedFrames].min = 0.0000000000e+00
ds[ReceivedFrames].max = 1.2500000000e+06
ds[ReceivedFrames].last_ds = "2571779"
ds[ReceivedFrames].value = 0.0000000000e+00
ds[ReceivedFrames].unknown_sec = 0
ds[ReceivedOctets].type = "COUNTER"
ds[ReceivedOctets].minimal_heartbeat = 600
ds[ReceivedOctets].min = 0.0000000000e+00
ds[ReceivedOctets].max = 1.2500000000e+07
ds[ReceivedOctets].last_ds = "371305921"
ds[ReceivedOctets].value = 0.0000000000e+00
ds[ReceivedOctets].unknown_sec = 0
rra[0].cf = "AVERAGE"
rra[0].rows = 8640
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[0].cdp_prep[3].value = NaN
rra[0].cdp_prep[3].unknown_datapoints = 0
rra[0].cdp_prep[4].value = NaN
rra[0].cdp_prep[4].unknown_datapoints = 0
rra[0].cdp_prep[5].value = NaN
rra[0].cdp_prep[5].unknown_datapoints = 0
rra[1].cf = "AVERAGE" rra[1].rows = 5040
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 = 0
rra[1].cdp_prep[1].value = 0.0000000000e+00
rra[1].cdp_prep[1].unknown_datapoints = 0
rra[1].cdp_prep[2].value = 1.9346666667e+01
rra[1].cdp_prep[2].unknown_datapoints = 0
rra[1].cdp_prep[3].value = 9.5053433333e+03
rra[1].cdp_prep[3].unknown_datapoints = 0
rra[1].cdp_prep[4].value = 1.7820000000e+01
rra[1].cdp_prep[4].unknown_datapoints = 0
rra[1].cdp_prep[5].value = 2.6688600000e+03
rra[1].cdp_prep[5].unknown_datapoints = 0
rra[2].cf = "AVERAGE" rra[2].rows = 2160
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 = 0
rra[2].cdp_prep[1].value = 0.0000000000e+00
rra[2].cdp_prep[1].unknown_datapoints = 0
rra[2].cdp_prep[2].value = 1.9346666667e+01
rra[2].cdp_prep[2].unknown_datapoints = 0
rra[2].cdp_prep[3].value = 9.5053433333e+03
rra[2].cdp_prep[3].unknown_datapoints = 0
rra[2].cdp_prep[4].value = 1.7820000000e+01
rra[2].cdp_prep[4].unknown_datapoints = 0
rra[2].cdp_prep[5].value = 2.6688600000e+03
rra[2].cdp_prep[5].unknown_datapoints = 0
rra[3].cf = "AVERAGE"
rra[3].rows = 720
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 = 0
rra[3].cdp_prep[1].value = 0.0000000000e+00
rra[3].cdp_prep[1].unknown_datapoints = 0
rra[3].cdp_prep[2].value = 1.7334333333e+02
rra[3].cdp_prep[2].unknown_datapoints = 0
rra[3].cdp_prep[3].value = 4.4525773333e+04
rra[3].cdp_prep[3].unknown_datapoints = 0
rra[3].cdp_prep[4].value = 1.4062333333e+02
rra[3].cdp_prep[4].unknown_datapoints = 0
rra[3].cdp_prep[5].value = 1.7559996667e+04
rra[3].cdp_prep[5].unknown_datapoints = 0

LAST UPDATE: 31 Oct 08:20:00 2002

I did to fetchs:
A) from Oct 16, 2002 to Oct 17, 2002
B) from Oct 16, 2002 to Oct 23, 2002

If I compare the all columns in the period from Oct 16 to Oct 17, for A)
and B), the result is: they are exactly the same.

BUT,

If I generate two graph for the periods A) and B), the values displayed
in thr graphs are NOT EQUAL for the period from Oct 16 to Oct 17.

WHY ?
Can anyone help me ?
Is this a bug ?

Thanks,
Alejandro.


--
Unsubscribe mailto:rrd-users-request at list.ee.ethz.ch?subject=unsubscribe
Help        mailto:rrd-users-request at list.ee.ethz.ch?subject=help
Archive     http://www.ee.ethz.ch/~slist/rrd-users
WebAdmin    http://www.ee.ethz.ch/~slist/lsg2.cgi