Thanks Alex I implemented your suggestion and things looks fine now
On 04/07/12 3:43 PM, Alex van den Bogaerdt wrote:
Your updates do not make it into the RRD. They are filtered out.
Wether you know it or not, you are asking RRDtool to ignore those updates.
Updates further apart than the heartbeat, are assumed to be unreliable
and result in unknown data.
Your heartbeat is 2000. Your updates are 3600 apart.
HTH
Alex
http://rrdtool.vandenbogaerdt.nl/
----- Original Message -----
*From:* Anuj Maurice <mailto:anuj.maur...@gmail.com>
*To:* rrd-users@lists.oetiker.ch <mailto:rrd-users@lists.oetiker.ch>
*Sent:* Wednesday, July 04, 2012 12:05 PM
*Subject:* [rrd-users] values get updated in RRD DB but doesnt
reflect when doing a fetch or dump
i am populating an rrd db once an hour. The value gets
successfully updated in rrd db but it doesnt doesnt get updated to
archives
Whenever i try to fetch data using rrdfetch it return NaN and
rrddump showns dump too.
but rrdtool info shows the last update value .
steps is 2000 and rras
|'RRA:MIN:0.5:1:44640'
'RRA:MAX:0.5:1:44640'
'RRA:AVERAGE:0.5:1:44640'
'RRA:LAST:0.1:1:44640'
|Following is my rrdtool info output .
|filename = "abc.red.prod.rrd"
rrd_version = "0003"
step = 2000
last_update = 1341392733
ds[resume_l].type = "GAUGE"
ds[resume_l].minimal_heartbeat = 2000
ds[resume_l].min = NaN
ds[resume_l].max = NaN
ds[resume_l].last_ds = "22403399"
ds[resume_l].value = 1.6471702915e+10
ds[resume_l].unknown_sec = 0
ds[suspend_l].type = "GAUGE"
ds[suspend_l].minimal_heartbeat = 2000
ds[suspend_l].min = NaN
ds[suspend_l].max = NaN
ds[suspend_l].last_ds = "23203177"
ds[suspend_l].value = 1.7281112506e+10
ds[suspend_l].unknown_sec = 0
rra[0].cf = "MIN"
rra[0].rows = 44640
rra[0].cur_row = 31110
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 = "MAX"
rra[1].rows = 44640
rra[1].cur_row = 32625
rra[1].pdp_per_row = 1
rra[1].xff = 5.0000000000e-01
rra[1].cdp_prep[0].value = NaN
rra[1].cdp_prep[0].unknown_datapoints = 0
rra[1].cdp_prep[1].value = NaN
rra[1].cdp_prep[1].unknown_datapoints = 0
rra[2].cf = "AVERAGE"
rra[2].rows = 44640
rra[2].cur_row = 41634
rra[2].pdp_per_row = 1
rra[2].xff = 5.0000000000e-01
rra[2].cdp_prep[0].value = NaN
rra[2].cdp_prep[0].unknown_datapoints = 0
rra[2].cdp_prep[1].value = NaN
rra[2].cdp_prep[1].unknown_datapoints = 0
rra[3].cf = "LAST"
rra[3].rows = 44640
rra[3].cur_row = 8075
rra[3].pdp_per_row = 1
rra[3].xff = 1.0000000000e-01
rra[3].cdp_prep[0].value = NaN
rra[3].cdp_prep[0].unknown_datapoints = 0
rra[3].cdp_prep[1].value = NaN
rra[3].cdp_prep[1].unknown_datapoints = 0
|and this is the output of rrdtool dump .. only selected regions
| <!-- 2012-07-04 01:06:40 UTC / 1341364000 --> <row><v> NaN </v><v> NaN
</v></row>
<!-- 2012-07-04 01:40:00 UTC / 1341366000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 02:13:20 UTC / 1341368000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 02:46:40 UTC / 1341370000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 03:20:00 UTC / 1341372000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 03:53:20 UTC / 1341374000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 04:26:40 UTC / 1341376000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 05:00:00 UTC / 1341378000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 05:33:20 UTC / 1341380000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 06:06:40 UTC / 1341382000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 06:40:00 UTC / 1341384000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 07:13:20 UTC / 1341386000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 07:46:40 UTC / 1341388000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 08:20:00 UTC / 1341390000 --> <row><v> NaN </v><v>
NaN </v></row>
<!-- 2012-07-04 08:53:20 UTC / 1341392000 --> <row><v> NaN </v><v>
NaN </v></row>
</database>
</rra>
I am blocked on this any suggestion would be highly helpful
Thanks
|
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