_R_R_D_-_B_E_G_I_N_N_E_R_S(1)                     rrdtool                    _R_R_D_-_B_E_G_I_N_N_E_R_S(1)

NNAAMMEE
     rrd-beginners - RRDtool Beginners' Guide

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     Helping new RRDtool users to understand the basics of RRDtool

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     This manual is an attempt to assist beginners in understanding the concepts
     of RRDtool. It sheds a light on differences between RRDtool and other data‐
     bases.  With help of an example, it explains the structure of RRDtool data‐
     base. This is followed by an overview of the "graph"  feature  of  RRDtool.
     At  the  end,  it  has sample scripts that illustrate the usage/wrapping of
     RRDtool within Shell or Perl scripts.

   WWhhaatt mmaakkeess RRRRDDttooooll ssoo ssppeecciiaall??
     RRDtool is GNU licensed software developed by Tobias Oetiker, a system man‐
     ager at the Swiss Federal Institute of Technology. Though it is a database,
     there are distinct differences between RRDtool databases  and  other  data‐
     bases as listed below:

     •   RRDtool stores data; that makes it a back-end tool. The RRDtool command
         set  allows  one  to  create  graphs; that makes it a front-end tool as
         well. Other databases just store data and can not create graphs.

     •   In case of linear databases, new data gets appended at  the  bottom  of
         the database table. Thus its size keeps on increasing, whereas the size
         of  an RRDtool database is determined at creation time. Imagine an RRD‐
         tool database as the perimeter of a circle. Data  is  added  along  the
         perimeter.  When new data reaches the starting point, it overwrites ex‐
         isting data. This way, the size of an RRDtool database  always  remains
         constant. The name "Round Robin" stems from this behavior.

     •   Other databases store the values as supplied. RRDtool can be configured
         to  calculate the rate of change from the previous to the current value
         and store this information instead.

     •   Other databases get updated when values are supplied. The RRDtool data‐
         base is structured in such a way that it needs data at predefined  time
         intervals.  If  it  does  not  get  a new value during the interval, it
         stores an UNKNOWN value for that interval. So, when using  the  RRDtool
         database, it is imperative to use scripts that run at regular intervals
         to ensure a constant data flow to update the RRDtool database.

     RRDtool  is  designed to store time series of data. With every data update,
     an associated time stamp is stored. Time is  always  expressed  in  seconds
     passed  since  epoch (01-01-1970). RRDtool can be installed on Unix as well
     as Windows. It comes with a command set to carry out various operations  on
     RRD  databases.  This command set can be accessed from the command line, as
     well as from Shell or Perl scripts. The scripts act as wrappers for access‐
     ing data stored in RRDtool databases.

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     The structure of an RRD database is different than other linear  databases.
     Other  databases  define  tables  with  columns, and many other parameters.
     These definitions sometimes are very complex,  especially  in  large  data‐
     bases.   RRDtool  databases  are primarily used for monitoring purposes and
     hence are very simple in structure. The parameters that need to be  defined
     are  variables  that  hold  values and archives of those values. Being time
     sensitive, a couple of time related parameters are also defined. Because of
     its structure, the definition of an RRDtool database also includes a provi‐
     sion to specify specific actions to take in the absence of  update  values.
     Data  Source  (DS),  heartbeat, Date Source Type (DST), Round Robin Archive
     (RRA), and Consolidation Function (CF) are some of  the  terminologies  re‐
     lated to RRDtool databases.

     The  structure  of a database and the terminology associated with it can be
     best explained with an example.

      rrdtool create target.rrd \
              --start 1023654125 \
              --step 300 \
              DS:mem:GAUGE:600:0:671744 \
              RRA:AVERAGE:0.5:12:24 \
              RRA:AVERAGE:0.5:288:31

     This  example   creates   a   database   named   _t_a_r_g_e_t_._r_r_d.   Start   time
     (1'023'654'125)  is  specified in total number of seconds since epoch (time
     in seconds since 01-01-1970). While updating the database, the update  time
     is also specified.  This update time MUST be larger (later) than start time
     and MUST be in seconds since epoch.

     The  step  of  300  seconds  indicates that the database expects new values
     every 300 seconds. The wrapper script should be scheduled to run every sstteepp
     seconds so that it updates the database every sstteepp seconds.

     DS (Data Source) is the actual variable which relates to the  parameter  on
     the device that is monitored. Its syntax is

      DS:variable_name:DST:heartbeat:min:max

     DDSS  is  a  key word. "variable_name" is a name under which the parameter is
     saved in the database. There can be as many DSs in a  database  as  needed.
     After  every  step  interval,  a  new value of DS is supplied to update the
     database.  This value is also called Primary Data Point ((PPDDPP)). In our exam‐
     ple mentioned above, a new PDP is generated every 300 seconds.

     Note, that if you do NOT supply new data points exactly every 300  seconds,
     this is not a problem, RRDtool will interpolate the data accordingly.

     DDSSTT  (Data  Source Type) defines the type of the DS. It can be COUNTER, DE‐
     RIVE, ABSOLUTE, GAUGE. A DS declared as  COUNTER  will  save  the  rate  of
     change  of the value over a step period. This assumes that the value is al‐
     ways increasing (the difference between the current and the previous  value
     is greater than 0). Traffic counters on a router are an ideal candidate for
     using COUNTER as DST. DERIVE is the same as COUNTER, but it allows negative
     values as well. If you want to see the rate of _c_h_a_n_g_e in free disk space on
     your server, then you might want to use the DERIVE data type. ABSOLUTE also
     saves  the rate of change, but it assumes that the previous value is set to
     0. The difference between the current and  the  previous  value  is  always
     equal  to  the current value. Thus it just stores the current value divided
     by the step interval (300 seconds in our example). GAUGE does not save  the
     rate of change. It saves the actual value itself. There are no divisions or
     calculations. Memory consumption in a server is a typical example of gauge.
     The  difference  between  the  different types DSTs can be explained better
     with the following example:

      Values       = 300, 600, 900, 1200
      Step         = 300 seconds
      COUNTER DS   =    1,  1,   1,    1
      DERIVE DS    =    1,  1,   1,    1
      ABSOLUTE DS  =    1,  2,   3,    4
      GAUGE DS     = 300, 600, 900, 1200

     The next parameter is hheeaarrttbbeeaatt. In our example, heartbeat is 600  seconds.
     If the database does not get a new PDP within 300 seconds, it will wait for
     another  300  seconds  (total  600 seconds).  If it doesn't receive any PDP
     within 600 seconds, it will save an UNKNOWN value into the  database.  This
     UNKNOWN  value  is a special feature of RRDtool - it is much better than to
     assume a missing value was 0 (zero) or any other number which might also be
     a valid data value.  For example, the traffic  flow  counter  on  a  router
     keeps  increasing.  Lets  say,  a  value is missed for an interval and 0 is
     stored instead of UNKNOWN. Now when the next value  becomes  available,  it
     will  calculate  the  difference between the current value and the previous
     value (0) which is not correct. So, inserting the value UNKNOWN makes  much
     more sense here.

     The next two parameters are the minimum and maximum value, respectively. If
     the  variable to be stored has predictable maximum and minimum values, this
     should be specified here. Any update value falling out of this  range  will
     be stored as UNKNOWN.

     The  next line declares a round robin archive (RRA). The syntax for declar‐
     ing an RRA is

      RRA:CF:xff:step:rows

     RRA is the keyword to declare RRAs. The consolidation function (CF) can  be
     AVERAGE,  MINIMUM,  MAXIMUM, and LAST. The concept of the consolidated data
     point (CDP) comes into the picture here. A CDP  is  CFed  (averaged,  maxi‐
     mum/minimum  value  or  last value) from _s_t_e_p number of PDPs. This RRA will
     hold _r_o_w_s CDPs.

     Lets have a look at the example above. For the first RRA, 12  (steps)  PDPs
     (DS  variables) are AVERAGEed (CF) to form one CDP. 24 (rows) of these CDPs
     are archived. Each PDP occurs at 300 seconds. 12 PDPs  represent  12  times
     300  seconds  which  is  1 hour. It means 1 CDP (which is equal to 12 PDPs)
     represents data worth 1 hour. 24 such CDPs represent 1 day (1 hour times 24
     CDPs). This means, this RRA is an archive for one day. After 24  CDPs,  CDP
     number  25 will replace the 1st CDP. The second RRA saves 31 CDPs; each CPD
     represents an AVERAGE value for a day (288 PDPs, each covering 300  seconds
     = 24 hours). Therefore this RRA is an archive for one month. A single data‐
     base  can  have  many  RRAs. If there are multiple DSs, each individual RRA
     will save data for all the DSs in the database. For example, if a  database
     has  3  DSs  and daily, weekly, monthly, and yearly RRAs are declared, then
     each RRA will hold data from all 3 data sources.

   GGrraapphhiiccaall MMaaggiicc
     Another important feature of RRDtool is its ability to create  graphs.  The
     "graph" command uses the "fetch" command internally to retrieve values from
     the  database.  With the retrieved values it draws graphs as defined by the
     parameters supplied on the command line. A single graph can show  different
     DS  (Data  Sources) from a database. It is also possible to show the values
     from more than one database in a single graph. Often, it  is  necessary  to
     perform some math on the values retrieved from the database before plotting
     them.  For  example, in SNMP replies, memory consumption values are usually
     specified in KBytes and traffic flow on interfaces is specified  in  Bytes.
     Graphs  for  these values will be more meaningful if values are represented
     in MBytes and mbps. The RRDtool graph command allows  one  to  define  such
     conversions.  Apart  from mathematical calculations, it is also possible to
     perform  logical  operations  such  as  greater  than,   less   than,   and
     if/then/else.  If  a  database  contains  more than one RRA archive, then a
     question may arise - how does RRDtool decide which RRA archive to  use  for
     retrieving  the  values?  RRDtool  looks  at several things when making its
     choice. First it makes sure that the RRA covers as  much  of  the  graphing
     time  frame  as possible. Second it looks at the resolution of the RRA com‐
     pared to the resolution of the graph. It tries to find one  which  has  the
     same  or  higher better resolution. With the "-r" option you can force RRD‐
     tool to assume a different resolution than  the  one  calculated  from  the
     pixel width of the graph.

     Values  of  different variables can be presented in 5 different shapes in a
     graph - AREA, LINE1, LINE2, LINE3, and STACK.  AREA  is  represented  by  a
     solid colored area with values as the boundary of this area. LINE1/2/3 (in‐
     creasing width) are just plain lines representing the values. STACK is also
     an  area  but  it  is "stack"ed on top AREA or LINE1/2/3. Another important
     thing to note is that variables are plotted in the order they  are  defined
     in the graph command. Therefore care must be taken to define STACK only af‐
     ter  defining  AREA/LINE.  It  is  also  possible to put formatted comments
     within the graph.  Detailed instructions can be found in the graph manual.

   WWrraappppiinngg RRRRDDttooooll wwiitthhiinn SShheellll//PPeerrll ssccrriipptt
     After understanding RRDtool it is now a time to  actually  use  RRDtool  in
     scripts.  Tasks  involved  in  network management are data collection, data
     storage, and data retrieval. In the following example, the previously  cre‐
     ated  target.rrd database is used. Data collection and data storage is done
     using Shell scripts. Data retrieval and report  generation  is  done  using
     Perl scripts. These scripts are shown below:

     _S_h_e_l_l _s_c_r_i_p_t _(_c_o_l_l_e_c_t_s _d_a_t_a_, _u_p_d_a_t_e_s _d_a_t_a_b_a_s_e_)

      #!/bin/sh
      a=0
      while [ "$a" == 0 ]; do
      snmpwalk -c public 192.168.1.250 hrSWRunPerfMem > snmp_reply
          total_mem=`awk 'BEGIN {tot_mem=0}
                                { if ($NF == "KBytes")
                                  {tot_mem=tot_mem+$(NF-1)}
                                }
                          END {print tot_mem}' snmp_reply`
          # I can use N as a replacement for the current time
          rrdtool update target.rrd N:$total_mem
          # sleep until the next 300 seconds are full
          perl -e 'sleep 300 - time % 300'
      done # end of while loop

     _P_e_r_l  _s_c_r_i_p_t _(_r_e_t_r_i_e_v_e_s _d_a_t_a _f_r_o_m _d_a_t_a_b_a_s_e _a_n_d _g_e_n_e_r_a_t_e_s _g_r_a_p_h_s _a_n_d _s_t_a_t_i_s_‐
     _t_i_c_s_)

      #!/usr/bin/perl -w
      # This script fetches data from target.rrd, creates a graph of memory
      # consumption on the target (Dual P3 Processor 1 GHz, 656 MB RAM)

      # call the RRD perl module
      use lib qw( /usr/local/rrdtool-1.0.41/lib/perl ../lib/perl );
      use RRDs;
      my $cur_time = time();                # set current time
      my $end_time = $cur_time - 86400;     # set end time to 24 hours ago
      my $start_time = $end_time - 2592000; # set start 30 days in the past

      # fetch average values from the RRD database between start and end time
      my ($start,$step,$ds_names,$data) =
          RRDs::fetch("target.rrd", "AVERAGE",
                      "-r", "600", "-s", "$start_time", "-e", "$end_time");
      # save fetched values in a 2-dimensional array
      my $rows = 0;
      my $columns = 0;
      my $time_variable = $start;
      foreach $line (@$data) {
        $vals[$rows][$columns] = $time_variable;
        $time_variable = $time_variable + $step;
        foreach $val (@$line) {
                $vals[$rows][++$columns] = $val;}
        $rows++;
        $columns = 0;
      }
      my $tot_time = 0;
      my $count = 0;
      # save the values from the 2-dimensional into a 1-dimensional array
      for $i ( 0 .. $#vals ) {
          $tot_mem[$count] = $vals[$i][1];
          $count++;
      }
      my $tot_mem_sum = 0;
      # calculate the total of all values
      for $i ( 0 .. ($count-1) ) {
          $tot_mem_sum = $tot_mem_sum + $tot_mem[$i];
      }
      # calculate the average of the array
      my $tot_mem_ave = $tot_mem_sum/($count);
      # create the graph
      RRDs::graph ("/images/mem_$count.png",
                  "--title= Memory Usage",
                  "--vertical-label=Memory Consumption (MB)",
                  "--start=$start_time",
                  "--end=$end_time",
                  "--color=BACK#CCCCCC",
                  "--color=CANVAS#CCFFFF",
                  "--color=SHADEB#9999CC",
                  "--height=125",
                  "--upper-limit=656",
                  "--lower-limit=0",
                  "--rigid",
                  "--base=1024",
                  "DEF:tot_mem=target.rrd:mem:AVERAGE",
                  "CDEF:tot_mem_cor=tot_mem,0,671744,LIMIT,UN,0,tot_mem,IF,1024,/",
                  "CDEF:machine_mem=tot_mem,656,+,tot_mem,-",
                  "COMMENT:Memory Consumption between $start_time",
                  "COMMENT:    and $end_time                     ",
                  "HRULE:656#000000:Maximum Available Memory - 656 MB",
                  "AREA:machine_mem#CCFFFF:Memory Unused",
                  "AREA:tot_mem_cor#6699CC:Total memory consumed in MB");
      my $err=RRDs::error;
      if ($err) {print "problem generating the graph: $err\n";}
      # print the output
      print "Average memory consumption is ";
      printf "%5.2f",$tot_mem_ave/1024;
      print " MB. Graphical representation can be found at /images/mem_$count.png.";

AAUUTTHHOORR
     Ketan Patel <k2pattu@yahoo.com>

1.10.0                             2026-05-23                   _R_R_D_-_B_E_G_I_N_N_E_R_S(1)
