[rrd-users] Question about importing non-realtime CSV data into RRDtool

Simon Hobson linux at thehobsons.co.uk
Wed Jan 4 20:13:01 CET 2012


v g wrote:
>Thanks for the prompt reply.  I created a new rrd with a step of 30, 
>minimum # is 0, and changed the RRA average to 10000.  Below is the 
>graph I got.  As you can see, the X axis is garbled.
>
>http://imgur.com/zRziE

You've asked for too many x axis labels and they're overlapping. You 
can see at the very ends you have a couple of clear characters. Just 
ask for less labels.

>I will keep playing around with it more but any more help is 
>appreciated.  Also any ideas on how to handle weekly, monthly and 
>yearly graphs?  Shall my code include a function to concatanate 
>daily csv files into weekly, and then weekly -> monthly and monthly 
>-> yearly and get RRD to process those?  Or is there a way to get 
>RRD to handle this automatically by keeping the initial RRD database 
>updated with new values and then running new graph commands (which 
>is something I will explore but just wanted to run by the group on 
>the ideal way of doing this...)

It's exactly what RRD was designed for - just keep feeding it data as 
you get it and it all happens automagically. You need to define 
additional RRAs for the resolution and timescale you need. Then when 
you call rrd to make a graph, change the parameters to get the scale 
you want.

I've done this with something along these lines in Bash :

case timescale in
   day    step=300
          period=86400 # 1 day
   week   step=1800
          period=7 day
   month  step=7200
          period=31d
   year   step=86400
          period=365d

# Get start and end times to match consolidation periods
now=`date +%s`
end=$(( $now / $step * $step ))

rrd graph .... --end=$end --start=end-$period ....


You can do a lot more in the case statement - like generating titles 
with the period in them and so on.

-- 
Simon Hobson

Visit http://www.magpiesnestpublishing.co.uk/ for books by acclaimed
author Gladys Hobson. Novels - poetry - short stories - ideal as
Christmas stocking fillers. Some available as e-books.



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