Provided by: rrdtool_1.4.7-2ubuntu5_amd64 bug

NAME

       rrdtutorial - Alex van den Bogaerdt's RRDtool tutorial

DESCRIPTION

       RRDtool is written by Tobias Oetiker <tobi@oetiker.ch> with contributions from many people all around the
       world. This document is written by Alex van den Bogaerdt <alex@vandenbogaerdt.nl> to help you understand
       what RRDtool is and what it can do for you.

       The documentation provided with RRDtool can be too technical for some people. This tutorial is here to
       help you understand the basics of RRDtool. It should prepare you to read the documentation yourself.  It
       also explains the general things about statistics with a focus on networking.

TUTORIAL

   Important
       Please don't skip ahead in this document!  The first part of this document explains the basics and may be
       boring.  But if you don't understand the basics, the examples will not be as meaningful to you.

       Sometimes things change.  This example used to provide numbers like "0.04" in stead of "4.00000e-02".
       Those are really the same numbers, just written down differently.  Don't be alarmed if a future version
       of rrdtool displays a slightly different form of output. The examples in this document are correct for
       version 1.2.0 of RRDtool.

       Also, sometimes bugs do occur. They may also influence the outcome of the examples. Example speed4.png
       was suffering from this (the handling of unknown data in an if-statement was wrong). Normal data will be
       just fine (a bug in rrdtool wouldn't last long) but special cases like NaN, INF and so on may last a bit
       longer.  Try another version if you can, or just live with it.

       I fixed the speed4.png example (and added a note). There may be other examples which suffer from the same
       or a similar bug.  Try to fix it yourself, which is a great excercise. But please do not submit your
       result as a fix to the source of this document. Discuss it on the user's list, or write to me.

   What is RRDtool?
       RRDtool refers to Round Robin Database tool.  Round robin is a technique that works with a fixed amount
       of data, and a pointer to the current element. Think of a circle with some dots plotted on the edge.
       These dots are the places where data can be stored. Draw an arrow from the center of the circle to one of
       the dots; this is the pointer.  When the current data is read or written, the pointer moves to the next
       element. As we are on a circle there is neither a beginning nor an end, you can go on and on and on.
       After a while, all the available places will be used and the process automatically reuses old locations.
       This way, the dataset will not grow in size and therefore requires no maintenance.  RRDtool works with
       Round Robin Databases (RRDs). It stores and retrieves data from them.

   What data can be put into an RRD?
       You name it, it will probably fit as long as it is some sort of time-series data. This means you have to
       be able to measure some value at several points in time and provide this information to RRDtool. If you
       can do this, RRDtool will be able to store it. The values must be numerical but don't have to be
       integers, as is the case with MRTG (the next section will give more details on this more specialized
       application).

       Many examples below talk about SNMP which is an acronym for Simple Network Management Protocol. "Simple"
       refers to the protocol. It does not mean it is simple to manage or monitor a network. After working your
       way through this document, you should know enough to be able to understand what people are talking about.
       For now, just realize that SNMP can be used to query devices for the values of counters they keep. It is
       the value from those counters that we want to store in the RRD.

   What can I do with this tool?
       RRDtool originated from MRTG (Multi Router Traffic Grapher). MRTG started as a tiny little script for
       graphing the use of a university's connection to the Internet. MRTG was later (ab-)used as a tool for
       graphing other data sources including temperature, speed, voltage, number of printouts and the like.

       Most likely you will start to use RRDtool to store and process data collected via SNMP. The data will
       most likely be bytes (or bits) transferred from and to a network or a computer.  But it can also be used
       to display tidal waves, solar radiation, power consumption, number of visitors at an exhibition, noise
       levels near an airport, temperature on your favorite holiday location, temperature in the fridge and
       whatever your imagination can come up with.

       You only need a sensor to measure the data and be able to feed the numbers into RRDtool. RRDtool then
       lets you create a database, store data in it, retrieve that data and create graphs in PNG format for
       display on a web browser. Those PNG images are dependent on the data you collected and could be, for
       instance, an overview of the average network usage, or the peaks that occurred.

   What if I still have problems after reading this document?
       First of all: read it again! You may have missed something.  If you are unable to compile the sources and
       you have a fairly common OS, it will probably not be the fault of RRDtool. There may be pre-compiled
       versions around on the Internet. If they come from trusted sources, get one of those.

       If on the other hand the program works but does not give you the expected results, it will be a problem
       with configuring it. Review your configuration and compare it with the examples that follow.

       There is a mailing list and an archive of it. Read the list for a few weeks and search the archive. It is
       considered rude to just ask a question without searching the archives: your problem may already have been
       solved for somebody else!  This is true for most, if not all, mailing lists and not only for this
       particular one. Look in the documentation that came with RRDtool for the location and usage of the list.

       I suggest you take a moment to subscribe to the mailing list right now by sending an email to
       <rrd-users-request@lists.oetiker.ch> with a subject of "subscribe". If you ever want to leave this list,
       just write an email to the same address but now with a subject of "unsubscribe".

   How will you help me?
       By giving you some detailed descriptions with detailed examples.  I assume that following the
       instructions in the order presented will give you enough knowledge of RRDtool to experiment for yourself.
       If it doesn't work the first time, don't give up. Reread the stuff that you did understand, you may have
       missed something.

       By following the examples you get some hands-on experience and, even more important, some background
       information of how it works.

       You will need to know something about hexadecimal numbers. If you don't then start with reading
       bin_dec_hex before you continue here.

   Your first Round Robin Database
       In my opinion the best way to learn something is to actually do it.  Why not start right now?  We will
       create a database, put some values in it and extract this data again.  Your output should be the same as
       the output that is included in this document.

       We will start with some easy stuff and compare a car with a router, or compare kilometers (miles if you
       wish) with bits and bytes. It's all the same: some number over some time.

       Assume we have a device that transfers bytes to and from the Internet.  This device keeps a counter that
       starts at zero when it is turned on, increasing with every byte that is transferred. This counter will
       probably have a maximum value. If this value is reached and an extra byte is counted, the counter starts
       over at zero. This is the same as many counters in the world such as the mileage counter in a car.

       Most discussions about networking talk about bits per second so lets get used to that right away. Assume
       a byte is eight bits and start to think in bits not bytes. The counter, however, still counts bytes!  In
       the SNMP world most of the counters are 32 bits. That means they are counting from 0 to 4294967295. We
       will use these values in the examples.  The device, when asked, returns the current value of the counter.
       We know the time that has passes since we last asked so we now know how many bytes have been transferred
       ***on average*** per second. This is not very hard to calculate. First in words, then in calculations:

       1. Take the current counter, subtract the previous value from it.

       2. Do the same with the current time and the previous time (in seconds).

       3. Divide  the  outcome  of  (1)  by  the  outcome  of (2), the result is the amount of bytes per second.
          Multiply by eight to get the number of bits per second (bps).

         bps = (counter_now - counter_before) / (time_now - time_before) * 8

       For some people it may help to translate this to an automobile example.  Do not try this example, and  if
       you do, don't blame me for the results!

       People  who  are  not  used  to  think  in  kilometers per hour can translate most into miles per hour by
       dividing km by 1.6 (close enough).  I will use the following abbreviations:

        m:    meter
        km:   kilometer (= 1000 meters).
        h:    hour
        s:    second
        km/h: kilometers per hour
        m/s:  meters per second

       You are driving a car. At 12:05 you read the counter in the dashboard and it tells you that the  car  has
       moved  12345  km  until  that  moment.   At  12:10 you look again, it reads 12357 km. This means you have
       traveled 12 km in five minutes. A scientist would translate that into meters per second and this makes  a
       nice comparison toward the problem of (bytes per five minutes) versus (bits per second).

       We traveled 12 kilometers which is 12000 meters. We did that in five minutes or 300 seconds. Our speed is
       12000m / 300s or 40 m/s.

       We could also calculate the speed in km/h: 12 times 5 minutes is an hour, so we have to multiply 12 km by
       12  to get 144 km/h.  For our native English speaking friends: that's 90 mph so don't try this example at
       home or where I live :)

       Remember: these numbers are averages only.  There is no way to figure out from the numbers, if you  drove
       at a constant speed.  There is an example later on in this tutorial that explains this.

       I  hope you understand that there is no difference in calculating m/s or bps; only the way we collect the
       data is different. Even the k from kilo is the same as in networking terms k also means 1000.

       We will now create a database where we can keep all these interesting numbers. The method used  to  start
       the  program  may differ slightly from OS to OS, but I assume you can figure it out if it works different
       on your's. Make sure you do not overwrite any file on your system when executing  the  following  command
       and  type  the  whole  line  as one long line (I had to split it for readability) and skip all of the '\'
       characters.

          rrdtool create test.rrd             \
                   --start 920804400          \
                   DS:speed:COUNTER:600:U:U   \
                   RRA:AVERAGE:0.5:1:24       \
                   RRA:AVERAGE:0.5:6:10

       (So enter: "rrdtool create test.rrd --start 920804400 DS ...")

   What has been created?
       We created the round robin database called test (test.rrd) which starts at noon the day I started writing
       this document, 7th of March, 1999 (this date translates to 920804400 seconds  as  explained  below).  Our
       database  holds  one data source (DS) named "speed" that represents a counter. This counter is read every
       five minutes (this is the default therefore you don't have to put "--step=300").  In  the  same  database
       two  round  robin  archives  (RRAs)  are kept, one averages the data every time it is read (e.g., there's
       nothing to average) and keeps 24 samples (24 times 5 minutes is 2 hours). The  other  averages  6  values
       (half hour) and contains 10 such averages (e.g. 5 hours).

       RRDtool  works  with  special  time  stamps coming from the UNIX world.  This time stamp is the number of
       seconds that passed since January 1st 1970 UTC.  The time stamp value is translated into local  time  and
       it will therefore look different for different time zones.

       Chances  are  that  you  are  not  in  the  same part of the world as I am.  This means your time zone is
       different. In all examples where I talk about time, the hours may be  wrong  for  you.  This  has  little
       effect on the results of the examples, just correct the hours while reading.  As an example: where I will
       see "12:05" the UK folks will see "11:05".

       We now have to fill our database with some numbers. We'll pretend to have read the following numbers:

        12:05  12345 km
        12:10  12357 km
        12:15  12363 km
        12:20  12363 km
        12:25  12363 km
        12:30  12373 km
        12:35  12383 km
        12:40  12393 km
        12:45  12399 km
        12:50  12405 km
        12:55  12411 km
        13:00  12415 km
        13:05  12420 km
        13:10  12422 km
        13:15  12423 km

       We fill the database as follows:

        rrdtool update test.rrd 920804700:12345 920805000:12357 920805300:12363
        rrdtool update test.rrd 920805600:12363 920805900:12363 920806200:12373
        rrdtool update test.rrd 920806500:12383 920806800:12393 920807100:12399
        rrdtool update test.rrd 920807400:12405 920807700:12411 920808000:12415
        rrdtool update test.rrd 920808300:12420 920808600:12422 920808900:12423

       This reads: update our test database with the following numbers

        time 920804700, value 12345
        time 920805000, value 12357

       etcetera.

       As  you  can  see,  it is possible to feed more than one value into the database in one command. I had to
       stop at three for readability but the real maximum per line is OS dependent.

       We can now retrieve the data from our database using "rrdtool fetch":

        rrdtool fetch test.rrd AVERAGE --start 920804400 --end 920809200

       It should return the following output:

                                 speed

        920804700: nan
        920805000: 4.0000000000e-02
        920805300: 2.0000000000e-02
        920805600: 0.0000000000e+00
        920805900: 0.0000000000e+00
        920806200: 3.3333333333e-02
        920806500: 3.3333333333e-02
        920806800: 3.3333333333e-02
        920807100: 2.0000000000e-02
        920807400: 2.0000000000e-02
        920807700: 2.0000000000e-02
        920808000: 1.3333333333e-02
        920808300: 1.6666666667e-02
        920808600: 6.6666666667e-03
        920808900: 3.3333333333e-03
        920809200: nan
        920809500: nan

       Note that you might get more rows than you expect. The reason for this is that you ask for a  time  range
       that  ends  on  920809200. The number that is written behind 920809200: in the list above covers the time
       range from 920808900 to 920809200, EXCLUDING 920809200. Hence to be on the sure  side,  you  receive  the
       entry  from 920809200 to 920809500 as well since it INCLUDES 920809200. You may also see "NaN" instead of
       "nan" this is OS dependent.  "NaN" stands for "Not A Number".   If  your  OS  writes  "U"  or  "UNKN"  or
       something  similar that's okay.  If something else is wrong, it will probably be due to an error you made
       (assuming that my tutorial is correct of course :-). In that case: delete the database and try again.

       The meaning of the above output will become clear below.

   Time to create some graphics
       Try the following command:

        rrdtool graph speed.png                                 \
                --start 920804400 --end 920808000               \
                DEF:myspeed=test.rrd:speed:AVERAGE              \
                LINE2:myspeed#FF0000

       This will create speed.png which starts at 12:00 and ends at 13:00.  There is a definition of a  variable
       called  myspeed,  using  the data from RRA "speed" out of database "test.rrd". The line drawn is 2 pixels
       high and represents the variable myspeed. The color is red  (specified  by  its  rgb-representation,  see
       below).

       You'll  notice  that  the  start  of  the  graph  is  not at 12:00 but at 12:05.  This is because we have
       insufficient data to tell the average before that time. This will only happen when you miss some samples,
       this will not happen a lot, hopefully.

       If this has worked: congratulations! If not, check what went wrong.

       The colors are built up from red, green and blue. For each of the components, you specify how much to use
       in hexadecimal where 00 means not included and FF means fully included.  The "color" white is  a  mixture
       of red, green and blue: FFFFFF The "color" black is all colors off: 000000

          red     #FF0000
          green   #00FF00
          blue    #0000FF
          magenta #FF00FF     (mixed red with blue)
          gray    #555555     (one third of all components)

       Additionally  you  can (with a recent RRDtool)  add an alpha channel (transparency).  The default will be
       "FF" which means non-transparent.

       The PNG you just created can be displayed using your favorite image viewer.  Web  browsers  will  display
       the PNG via the URL "file:///the/path/to/speed.png"

   Graphics with some math
       When  looking at the image, you notice that the horizontal axis is labeled 12:10, 12:20, 12:30, 12:40 and
       12:50. Sometimes a label doesn't fit (12:00 and 13:00 would be likely candidates) so they are skipped.

       The vertical axis displays the range we entered. We provided kilometers and when divided by 300  seconds,
       we  get  very  small  numbers.  To be exact, the first value was 12 (12357-12345) and divided by 300 this
       makes 0.04, which is displayed by RRDtool as "40 m" meaning "40/1000". The "m" (milli) has nothing to  do
       with  meters  (also  m),  kilometers or millimeters! RRDtool doesn't know about the physical units of our
       data, it just works with dimensionless numbers.

       If we had measured our distances in meters, this would have been (12357000-12345000)/300  =  12000/300  =
       40.

       As  most  people  have a better feel for numbers in this range, we'll correct that. We could recreate our
       database and store the correct data, but there is a better way: we do some  calculations  while  creating
       the png file!

          rrdtool graph speed2.png                           \
             --start 920804400 --end 920808000               \
             --vertical-label m/s                            \
             DEF:myspeed=test.rrd:speed:AVERAGE              \
             CDEF:realspeed=myspeed,1000,\*                  \
             LINE2:realspeed#FF0000

       Note:  I need to escape the multiplication operator * with a backslash.  If I don't, the operating system
       may interpret it and use it for file name expansion. You could also place the line within quotation marks
       like so:

             "CDEF:realspeed=myspeed,1000,*"                  \

       It boils down to: it is RRDtool which should see *, not your shell.  And it is your shell interpreting \,
       not RRDtool. You may need to adjust examples accordingly if you happen to  use  an  operating  system  or
       shell which behaves differently.

       After viewing this PNG, you notice the "m" (milli) has disappeared. This it what the correct result would
       be.  Also,  a  label  has been added to the image.  Apart from the things mentioned above, the PNG should
       look the same.

       The calculations are specified in the CDEF part above and are in Reverse Polish Notation ("RPN"). What we
       requested RRDtool to do is: "take the data source myspeed and the number  1000;  multiply  those".  Don't
       bother with RPN yet, it will be explained later on in more detail. Also, you may want to read my tutorial
       on CDEFs and Steve Rader's tutorial on RPN. But first finish this tutorial.

       Hang  on!  If we can multiply values with 1000, it should also be possible to display kilometers per hour
       from the same data!

       To change a value that is measured in meters per second:

        Calculate meters per hour:     value * 3600
        Calculate kilometers per hour: value / 1000
        Together this makes:           value * (3600/1000) or value * 3.6

       In our example database we made a mistake and we need to compensate for this by  multiplying  with  1000.
       Applying that correction:

        value * 3.6  * 1000 == value * 3600

       Now let's create this PNG, and add some more magic ...

        rrdtool graph speed3.png                             \
             --start 920804400 --end 920808000               \
             --vertical-label km/h                           \
             DEF:myspeed=test.rrd:speed:AVERAGE              \
             "CDEF:kmh=myspeed,3600,*"                       \
             CDEF:fast=kmh,100,GT,kmh,0,IF                   \
             CDEF:good=kmh,100,GT,0,kmh,IF                   \
             HRULE:100#0000FF:"Maximum allowed"              \
             AREA:good#00FF00:"Good speed"                   \
             AREA:fast#FF0000:"Too fast"

       Note: here we use another means to escape the * operator by enclosing the whole string in double quotes.

       This  graph  looks  much  better. Speed is shown in km/h and there is even an extra line with the maximum
       allowed speed (on the road I travel on). I also changed the colors used to display speed and  changed  it
       from a line into an area.

       The calculations are more complex now. For speed measurements within the speed limit they are:

          Check if kmh is greater than 100    ( kmh,100 ) GT
          If so, return 0, else kmh           ((( kmh,100 ) GT ), 0, kmh) IF

       For values above the speed limit:

          Check if kmh is greater than 100    ( kmh,100 ) GT
          If so, return kmh, else return 0    ((( kmh,100) GT ), kmh, 0) IF

   Graphics Magic
       I  like  to  believe  there  are virtually no limits to how RRDtool graph can manipulate data. I will not
       explain how it works, but look at the following PNG:

          rrdtool graph speed4.png                           \
             --start 920804400 --end 920808000               \
             --vertical-label km/h                           \
             DEF:myspeed=test.rrd:speed:AVERAGE              \
             CDEF:nonans=myspeed,UN,0,myspeed,IF             \
             CDEF:kmh=nonans,3600,*                          \
             CDEF:fast=kmh,100,GT,100,0,IF                   \
             CDEF:over=kmh,100,GT,kmh,100,-,0,IF             \
             CDEF:good=kmh,100,GT,0,kmh,IF                   \
             HRULE:100#0000FF:"Maximum allowed"              \
             AREA:good#00FF00:"Good speed"                   \
             AREA:fast#550000:"Too fast"                     \
             STACK:over#FF0000:"Over speed"

       Remember the note in the beginning?  I had to remove unknown data from this example. The 'nonans' CDEF is
       new, and the 6th line (which used to be the 5th line) used to read 'CDEF:kmh=myspeed,3600,*'

       Let's create a quick and dirty HTML page to view the three PNGs:

          <HTML><HEAD><TITLE>Speed</TITLE></HEAD><BODY>
          <IMG src="speed2.png" alt="Speed in meters per second">
          <BR>
          <IMG src="speed3.png" alt="Speed in kilometers per hour">
          <BR>
          <IMG src="speed4.png" alt="Traveled too fast?">
          </BODY></HTML>

       Name the file "speed.html" or similar, and look at it in your web browser.

       Now, all you have to do is measure the values regularly and update the database.  When you want  to  view
       the  data,  recreate  the PNGs and make sure to refresh them in your browser. (Note: just clicking reload
       may not be enough, especially when proxies are involved.  Try shift-reload or ctrl-F5).

   Updates in Reality
       We've already used the "update" command: it took one or more parameters in the form of  "<time>:<value>".
       You'll  be  glad  to  know that you can specify the current time by filling in a "N" as the time.  Or you
       could use the "time" function in Perl (the shortest example in this tutorial):

          perl -e 'print time, "\n" '

       How to run a program on regular intervals is OS specific. But here is an example in pseudo code:

          - Get the value and put it in variable "$speed"
          - rrdtool update speed.rrd N:$speed

       (do not try this with our test database, we'll use it in further examples)

       This is all. Run the above script every five minutes. When you need to know what the  graphs  look  like,
       run  the examples above. You could put them in a script as well. After running that script, view the page
       index.html we created above.

   Some words on SNMP
       I can imagine very few people that will be able to get real data from their car every five  minutes.  All
       other  people  will  have to settle for some other kind of counter. You could measure the number of pages
       printed by a printer, for example, the cups of coffee made by the coffee machine, a  device  that  counts
       the electricity used, whatever. Any incrementing counter can be monitored and graphed using the stuff you
       learned so far. Later on we will also be able to monitor other types of values like temperature.

       Many  people interested in RRDtool will use the counter that keeps track of octets (bytes) transferred by
       a network device. So let's do just that next. We will start with a description of how to collect data.

       Some people will make a remark that there are tools which can do this data collection for you.  They  are
       right!  However,  I  feel  it  is  important that you understand they are not necessary. When you have to
       determine why things went wrong you need to know how they work.

       One tool used in the example has been talked about very briefly in the beginning of this document, it  is
       called  SNMP. It is a way of talking to networked equipment. The tool I use below is called "snmpget" and
       this is how it works:

          snmpget device password OID

       or

          snmpget -v[version] -c[password] device OID

       For device you substitute the name, or the IP  address,  of  your  device.   For  password  you  use  the
       "community  read  string"  as  it  is called in the SNMP world.  For some devices the default of "public"
       might work, however this can be disabled, altered or protected for privacy and  security  reasons.   Read
       the documentation that comes with your device or program.

       Then there is this parameter, called OID, which means "object identifier".

       When  you start to learn about SNMP it looks very confusing. It isn't all that difficult when you look at
       the Management Information Base ("MIB").  It is an upside-down tree that describes data,  with  a  single
       node as the root and from there a number of branches.  These branches end up in another node, they branch
       out,  etc.   All  the  branches  have a name and they form the path that we follow all the way down.  The
       branches that we follow are named: iso, org, dod, internet, mgmt and mib-2.   These  names  can  also  be
       written down as numbers and are 1 3 6 1 2 1.

          iso.org.dod.internet.mgmt.mib-2 (1.3.6.1.2.1)

       There  is  a lot of confusion about the leading dot that some programs use.  There is *no* leading dot in
       an OID.  However, some programs can use the above part of OIDs as a default.  To indicate the  difference
       between  abbreviated OIDs and full OIDs they need a leading dot when you specify the complete OID.  Often
       those programs will leave out the default portion when returning the data to you.  To make things  worse,
       they have several default prefixes ...

       Ok, lets continue to the start of our OID: we had 1.3.6.1.2.1 From there, we are especially interested in
       the branch "interfaces" which has number 2 (e.g., 1.3.6.1.2.1.2 or 1.3.6.1.2.1.interfaces).

       First, we have to get some SNMP program. First look if there is a pre-compiled package available for your
       OS. This is the preferred way.  If not, you will have to get the sources yourself and compile those.  The
       Internet is full of sources, programs etc. Find information using a search engine or whatever you prefer.

       Assume  you  got the program. First try to collect some data that is available on most systems. Remember:
       there is a short name for the part of the tree that interests us most in the world we live in!

       I will give an example which can be used on Fedora Core 3.  If it doesn't work for  you,  work  your  way
       through the manual of snmp and adapt the example to make it work.

          snmpget -v2c -c public myrouter system.sysDescr.0

       The device should answer with a description of itself, perhaps an empty one. Until you got a valid answer
       from  a  device,  perhaps  using  a  different  "password",  or  a different device, there is no point in
       continuing.

          snmpget -v2c -c public myrouter interfaces.ifNumber.0

       Hopefully you get a number as a result, the number of interfaces.  If so, you can  carry  on  and  try  a
       different program called "snmpwalk".

          snmpwalk -v2c -c public myrouter interfaces.ifTable.ifEntry.ifDescr

       If it returns with a list of interfaces, you're almost there.  Here's an example:
          [user@host /home/alex]$ snmpwalk -v2c -c public cisco 2.2.1.2

          interfaces.ifTable.ifEntry.ifDescr.1 = "BRI0: B-Channel 1"
          interfaces.ifTable.ifEntry.ifDescr.2 = "BRI0: B-Channel 2"
          interfaces.ifTable.ifEntry.ifDescr.3 = "BRI0" Hex: 42 52 49 30
          interfaces.ifTable.ifEntry.ifDescr.4 = "Ethernet0"
          interfaces.ifTable.ifEntry.ifDescr.5 = "Loopback0"

       On  this  cisco  equipment, I would like to monitor the "Ethernet0" interface and from the above output I
       see that it is number four. I try:

          [user@host /home/alex]$ snmpget -v2c -c public cisco 2.2.1.10.4 2.2.1.16.4

          interfaces.ifTable.ifEntry.ifInOctets.4 = 2290729126
          interfaces.ifTable.ifEntry.ifOutOctets.4 = 1256486519

       So now I have two OIDs to monitor and they are (in full, this time):

          1.3.6.1.2.1.2.2.1.10

       and

          1.3.6.1.2.1.2.2.1.16

       both with an interface number of 4.

       Don't get fooled, this wasn't my first try. It took some time for me too to  understand  what  all  these
       numbers  mean. It does help a lot when they get translated into descriptive text... At least, when people
       are talking about MIBs and OIDs you know what it's all about.  Do not forget the interface number  (0  if
       it is not interface dependent) and try snmpwalk if you don't get an answer from snmpget.

       If  you understand the above section and get numbers from your device, continue on with this tutorial. If
       not, then go back and re-read this part.

   A Real World Example
       Let the fun begin. First, create a new database. It contains data from two  counters,  called  input  and
       output. The data is put into archives that average it. They take 1, 6, 24 or 288 samples at a time.  They
       also go into archives that keep the maximum numbers. This will be explained later on. The time in-between
       samples is 300 seconds, a good starting point, which is the same as five minutes.

        1 sample "averaged" stays 1 period of 5 minutes
        6 samples averaged become one average on 30 minutes
        24 samples averaged become one average on 2 hours
        288 samples averaged become one average on 1 day

       Lets try to be compatible with MRTG which stores about the following amount of data:

        600 5-minute samples:    2   days and 2 hours
        600 30-minute samples:  12.5 days
        600 2-hour samples:     50   days
        732 1-day samples:     732   days

       These  ranges are appended, so the total amount of data stored in the database is approximately 797 days.
       RRDtool stores the data differently, it doesn't start the "weekly"  archive  where  the  "daily"  archive
       stopped.  For  both  archives  the most recent data will be near "now" and therefore we will need to keep
       more data than MRTG does!

       We will need:

        600 samples of 5 minutes  (2 days and 2 hours)
        700 samples of 30 minutes (2 days and 2 hours, plus 12.5 days)
        775 samples of 2 hours    (above + 50 days)
        797 samples of 1 day      (above + 732 days, rounded up to 797)

          rrdtool create myrouter.rrd         \
                   DS:input:COUNTER:600:U:U   \
                   DS:output:COUNTER:600:U:U  \
                   RRA:AVERAGE:0.5:1:600      \
                   RRA:AVERAGE:0.5:6:700      \
                   RRA:AVERAGE:0.5:24:775     \
                   RRA:AVERAGE:0.5:288:797    \
                   RRA:MAX:0.5:1:600          \
                   RRA:MAX:0.5:6:700          \
                   RRA:MAX:0.5:24:775         \
                   RRA:MAX:0.5:288:797

       Next thing to do is to collect data and store it. Here is an example.  It is written partially in  pseudo
       code,  you will have to find out what to do exactly on your OS to make it work.

          while not the end of the universe
          do
             get result of
                snmpget router community 2.2.1.10.4
             into variable $in
             get result of
                snmpget router community 2.2.1.16.4
             into variable $out

             rrdtool update myrouter.rrd N:$in:$out

             wait for 5 minutes
          done

       Then, after collecting data for a day, try to create an image using:

          rrdtool graph myrouter-day.png --start -86400 \
                   DEF:inoctets=myrouter.rrd:input:AVERAGE \
                   DEF:outoctets=myrouter.rrd:output:AVERAGE \
                   AREA:inoctets#00FF00:"In traffic" \
                   LINE1:outoctets#0000FF:"Out traffic"

       This  should  produce  a  picture with one day worth of traffic.  One day is 24 hours of 60 minutes of 60
       seconds: 24*60*60=86400, we start at now  minus  86400  seconds.  We  define  (with  DEFs)  inoctets  and
       outoctets  as the average values from the database myrouter.rrd and draw an area for the "in" traffic and
       a line for the "out" traffic.

       View the image and keep logging data for a few more days.  If you like, you could try the  examples  from
       the test database and see if you can get various options and calculations to work.

       Suggestion: Display in bytes per second and in bits per second. Make the Ethernet graphics go red if they
       are over four megabits per second.

   Consolidation Functions
       A  few  paragraphs  back I mentioned the possibility of keeping the maximum values instead of the average
       values. Let's go into this a bit more.

       Recall all the stuff about the speed of the car. Suppose we drove at 144 km/h during 5 minutes  and  then
       were stopped by the police for 25 minutes.  At the end of the lecture we would take our laptop and create
       and view the image taken from the database. If we look at the second RRA we did create, we would have the
       average from 6 samples. The samples measured would be 144+0+0+0+0+0=144, divided by 30 minutes, corrected
       for  the  error  by 1000, translated into km/h, with a result of 24 km/h.  I would still get a ticket but
       not for speeding anymore :)

       Obviously, in this case we shouldn't look at the averages. In some cases they are handy. If you  want  to
       know  how  many km you had traveled, the averaged picture would be the right one to look at. On the other
       hand, for the speed that we traveled at, the maximum numbers seen is much more interesting. Later we will
       see more types.

       It is the same for data. If you want to know the amount, look at the averages. If you want  to  know  the
       rate,  look  at the maximum.  Over time, they will grow apart more and more. In the last database we have
       created, there are two archives that keep data per day. The archive that keeps  averages  will  show  low
       numbers, the archive that shows maxima will have higher numbers.

       For my car this would translate in averages per day of 96/24=4 km/h (as I travel about 94 kilometers on a
       day) during working days, and maxima of 120 km/h (my top speed that I reach every day).

       Big  difference.  Do not look at the second graph to estimate the distances that I travel and do not look
       at the first graph to estimate my speed. This will work if the samples are close together, as they are in
       five minutes, but not if you average.

       On some days, I go for a long ride. If I go across Europe and travel for 12 hours, the first  graph  will
       rise  to  about  60  km/h. The second one will show 180 km/h. This means that I traveled a distance of 60
       km/h times 24 h = 1440 km. I did this with a higher speed and a maximum  around  180  km/h.  However,  it
       probably doesn't mean that I traveled for 8 hours at a constant speed of 180 km/h!

       This is a real example: go with the flow through Germany (fast!) and stop a few times for gas and coffee.
       Drive  slowly through Austria and the Netherlands. Be careful in the mountains and villages. If you would
       look at the graphs created from the five-minute averages you would get a totally different  picture.  You
       would see the same values on the average and maximum graphs (provided I measured every 300 seconds).  You
       would  be  able  to  see when I stopped, when I was in top gear, when I drove over fast highways etc. The
       granularity of the data is much higher, so you can see more. However, this takes 12 samples per hour,  or
       288  values  per day, so it would be a lot of data over a longer period of time. Therefore we average it,
       eventually to one value per day. From this one value, we cannot see much detail, of course.

       Make sure you understand the last few paragraphs. There is no value in only a line and a  few  axis,  you
       need to know what they mean and interpret the data in an appropriate way. This is true for all data.

       The  biggest mistake you can make is to use the collected data for something that it is not suitable for.
       You would be better off if you didn't have the graph at all.

   Let's review what you now should know
       You know how to create a database and can put data in it. You can get the numbers out again  by  creating
       an  image,  do  math on the data from the database and view the result instead of the raw data.  You know
       about the difference between averages and maximum, and when to use which (or at least you should have  an
       idea).

       RRDtool can do more than what we have learned up to now. Before you continue with the rest of this doc, I
       recommend  that you reread from the start and try some modifications on the examples. Make sure you fully
       understand everything. It will be worth the effort and helps you not only with the rest of this tutorial,
       but also in your day to day monitoring long after you read this introduction.

   Data Source Types
       All right, you feel like continuing. Welcome back and get ready for an increased speed  in  the  examples
       and explanations.

       You  know  that  in  order  to  view  a  counter  over  time, you have to take two numbers and divide the
       difference of them between the time lapsed.  This makes sense for the examples I gave you but  there  are
       other  possibilities.   For instance, I'm able to retrieve the temperature from my router in three places
       namely the inlet, the so called hot-spot and the exhaust.  These values are not counters.  If I take  the
       difference of the two samples and divide that by 300 seconds I would be asking for the temperature change
       per second.  Hopefully this is zero! If not, the computer room is probably on fire :)

       So, what can we do?  We can tell RRDtool to store the values we measure directly as they are (this is not
       entirely  true  but  close  enough).  The  graphs  we make will look much better, they will show a rather
       constant value. I know when the router is busy (it works -> it uses more electricity -> it generates more
       heat -> the temperature rises). I know when the doors are left open (the room is air conditioned) ->  the
       warm air from the rest of the building flows into the computer room -> the inlet temperature rises). Etc.
       The data type we use when creating the database before was counter, we now have a different data type and
       thus a different name for it. It is called GAUGE. There are more such data types:

        - COUNTER   we already know this one
        - GAUGE     we just learned this one
        - DERIVE
        - ABSOLUTE

       The  two additional types are DERIVE and ABSOLUTE. Absolute can be used like counter with one difference:
       RRDtool assumes the counter is reset when it's read. That is: its delta is known without  calculation  by
       RRDtool  whereas  RRDtool needs to calculate it for the counter type.  Example: our first example (12345,
       12357, 12363, 12363) would read: unknown, 12, 6, 0. The rest of the  calculations  stay  the  same.   The
       other one, derive, is like counter. Unlike counter, it can also decrease so it can have a negative delta.
       Again, the rest of the calculations stay the same.

       Let's try them all:

          rrdtool create all.rrd --start 978300900 \
                   DS:a:COUNTER:600:U:U \
                   DS:b:GAUGE:600:U:U \
                   DS:c:DERIVE:600:U:U \
                   DS:d:ABSOLUTE:600:U:U \
                   RRA:AVERAGE:0.5:1:10
          rrdtool update all.rrd \
                   978301200:300:1:600:300    \
                   978301500:600:3:1200:600   \
                   978301800:900:5:1800:900   \
                   978302100:1200:3:2400:1200 \
                   978302400:1500:1:2400:1500 \
                   978302700:1800:2:1800:1800 \
                   978303000:2100:4:0:2100    \
                   978303300:2400:6:600:2400  \
                   978303600:2700:4:600:2700  \
                   978303900:3000:2:1200:3000
          rrdtool graph all1.png -s 978300600 -e 978304200 -h 400 \
                   DEF:linea=all.rrd:a:AVERAGE LINE3:linea#FF0000:"Line A" \
                   DEF:lineb=all.rrd:b:AVERAGE LINE3:lineb#00FF00:"Line B" \
                   DEF:linec=all.rrd:c:AVERAGE LINE3:linec#0000FF:"Line C" \
                   DEF:lined=all.rrd:d:AVERAGE LINE3:lined#000000:"Line D"

   RRDtool under the Microscope
       • Line  A  is  a  COUNTER  type,  so  it  should  continuously  increment  and RRDtool must calculate the
         differences. Also, RRDtool needs to divide the difference by the amount of time lapsed. This should end
         up as a straight line at 1 (the deltas are 300, the time is 300).

       • Line B is of type GAUGE. These are "real" values so they should match what we put in: a sort of a wave.

       • Line C is of type DERIVE. It should be a counter that can decrease. It does so between 2400 and 0, with
         1800 in-between.

       • Line D is of type ABSOLUTE. This is like counter  but  it  works  on  values  without  calculating  the
         difference. The numbers are the same and as you can see (hopefully) this has a different result.

       This  translates  in  the following values, starting at 23:10 and ending at 00:10 the next day (where "u"
       means unknown/unplotted):

        - Line A:  u  u  1  1  1  1  1  1  1  1  1  u
        - Line B:  u  1  3  5  3  1  2  4  6  4  2  u
        - Line C:  u  u  2  2  2  0 -2 -6  2  0  2  u
        - Line D:  u  1  2  3  4  5  6  7  8  9 10  u

       If your PNG shows all this, you know you have entered the  data  correctly,  the  RRDtool  executable  is
       working properly, your viewer doesn't fool you, and you successfully entered the year 2000 :)

       You could try the same example four times, each time with only one of the lines.

       Let's go over the data again:

       • Line  A:  300,600,900 and so on. The counter delta is a constant 300 and so is the time delta. A number
         divided by itself is always 1 (except when dividing by zero which is undefined/illegal).

         Why is it that the first point is unknown? We do know what we put into the database, right?  True,  But
         we  didn't  have  a  value  to calculate the delta from, so we don't know where we started. It would be
         wrong to assume we started at zero so we don't!

       • Line B: There is nothing to calculate. The numbers are as they are.

       • Line C: Again, the start-out value is unknown. The same story is holds as for line A. In this case  the
         deltas  are  not  constant,  therefore  the line is not either. If we would put the same numbers in the
         database as we did for line A, we would have gotten the same line. Unlike type counter, this  type  can
         decrease and I hope to show you later on why this makes a difference.

       • Line  D: Here the device calculates the deltas. Therefore we DO know the first delta and it is plotted.
         We had the same input as with line A, but the meaning of this input is different and thus the  line  is
         different.  In this case the deltas increase each time with 300. The time delta stays at a constant 300
         and therefore the division of the two gives increasing values.

   Counter Wraps
       There  are  a few more basics to show. Some important options are still to be covered and we haven't look
       at counter wraps yet. First the counter wrap: In our car we notice that  the  counter  shows  999987.  We
       travel  20  km  and  the  counter  should  go to 1000007. Unfortunately, there are only six digits on our
       counter so it really shows 000007. If we would plot that on a type DERIVE, it would mean that the counter
       was set back 999980 km. It wasn't, and there has to be some protection for this. This protection is  only
       available  for type COUNTER which should be used for this kind of counter anyways. How does it work? Type
       counter should never decrease and therefore RRDtool must assume it wrapped if it does decrease!   If  the
       delta  is  negative,  this can be compensated for by adding the maximum value of the counter + 1. For our
       car this would be:

        Delta = 7 - 999987 = -999980    (instead of 1000007-999987=20)

        Real delta = -999980 + 999999 + 1 = 20

       At the time of writing this document, RRDtool knows of counters that are either 32 bits  or  64  bits  of
       size. These counters can handle the following different values:

        - 32 bits: 0 ..           4294967295
        - 64 bits: 0 .. 18446744073709551615

       If these numbers look strange to you, you can view them in their hexadecimal form:

        - 32 bits: 0 ..         FFFFFFFF
        - 64 bits: 0 .. FFFFFFFFFFFFFFFF

       RRDtool  handles  both  counters the same. If an overflow occurs and the delta would be negative, RRDtool
       first adds the maximum of a small counter + 1 to the delta. If the delta is still negative, it had to  be
       the  large counter that wrapped. Add the maximum possible value of the large counter + 1 and subtract the
       erroneously added small value.

       There is a risk in this: suppose the large counter wrapped while adding a huge delta,  it  could  happen,
       theoretically,  that  adding  the  smaller value would make the delta positive. In this unlikely case the
       results would not be correct. The increase should be nearly as high as the maximum counter value for that
       to happen, so chances are you would have several other problems as well and this particular problem would
       not even be worth thinking about. Even though, I did include an example, so you can judge for yourself.

       The next section gives you some numerical  examples  for  counter-wraps.   Try  to  do  the  calculations
       yourself or just believe me if your calculator can't handle the numbers :)

       Correction numbers:

        - 32 bits: (4294967295 + 1) =                                4294967296
        - 64 bits: (18446744073709551615 + 1)
                                           - correction1 = 18446744069414584320

        Before:        4294967200
        Increase:                100
        Should become: 4294967300
        But really is:             4
        Delta:        -4294967196
        Correction1:  -4294967196 + 4294967296 = 100

        Before:        18446744073709551000
        Increase:                             800
        Should become: 18446744073709551800
        But really is:                        184
        Delta:        -18446744073709550816
        Correction1:  -18446744073709550816
                                       + 4294967296 = -18446744069414583520
        Correction2:  -18446744069414583520
                          + 18446744069414584320 = 800

        Before:        18446744073709551615 ( maximum value )
        Increase:      18446744069414584320 ( absurd increase, minimum for
        Should become: 36893488143124135935             this example to work )
        But really is: 18446744069414584319
        Delta:                     -4294967296
        Correction1:  -4294967296 + 4294967296 = 0
        (not negative -> no correction2)

        Before:        18446744073709551615 ( maximum value )
        Increase:      18446744069414584319 ( one less increase )
        Should become: 36893488143124135934
        But really is: 18446744069414584318
        Delta:                     -4294967297
        Correction1:  -4294967297 + 4294967296 = -1
        Correction2:  -1 + 18446744069414584320 = 18446744069414584319

       As  you  can  see from the last two examples, you need strange numbers for RRDtool to fail (provided it's
       bug free of course), so this should not happen. However, SNMP or whatever method you  choose  to  collect
       the  data, might also report wrong numbers occasionally.  We can't prevent all errors, but there are some
       things we can do. The RRDtool "create" command takes two special parameters for  this.  They  define  the
       minimum  and maximum allowed values. Until now, we used "U", meaning "unknown". If you provide values for
       one or both of them and if RRDtool receives data points that are outside these  limits,  it  will  ignore
       those  values.  For  a  thermometer  in  degrees Celsius, the absolute minimum is just under -273. For my
       router, I can assume this minimum is much higher  so  I  would  set  it  to  10,  where  as  the  maximum
       temperature I would set to 80. Any higher and the device would be out of order.

       For  the  speed  of  my  car,  I  would never expect negative numbers and also I would not expect a speed
       higher than 230. Anything else, and there must have been an error. Remember: the opposite is not true, if
       the numbers pass this check, it doesn't mean that they are correct. Always judge the graph with a healthy
       dose of suspicion if it seems weird to you.

   Data Resampling
       One important feature of RRDtool has not been explained yet: it is virtually impossible to  collect  data
       and  feed it into RRDtool on exact intervals. RRDtool therefore interpolates the data, so they are stored
       on exact intervals. If you do not know what this means or how it works, then here's the help you seek:

       Suppose a counter increases by exactly one for every second. You  want  to  measure  it  in  300  seconds
       intervals.  You  should retrieve values that are exactly 300 apart. However, due to various circumstances
       you are a few seconds late and the interval is 303. The delta will also be 303 in that  case.  Obviously,
       RRDtool  should not put 303 in the database and make you believe that the counter increased by 303 in 300
       seconds.  This is where RRDtool interpolates: it alters the 303 value as if it  would  have  been  stored
       earlier  and it will be 300 in 300 seconds.  Next time you are at exactly the right time. This means that
       the current interval is 297 seconds and also the counter increased by 297.  Again,  RRDtool  interpolates
       and stores 300 as it should be.

             in the RRD                 in reality

        time+000:   0 delta="U"   time+000:    0 delta="U"
        time+300: 300 delta=300   time+300:  300 delta=300
        time+600: 600 delta=300   time+603:  603 delta=303
        time+900: 900 delta=300   time+900:  900 delta=297

       Let's create two identical databases. I've chosen the time range 920805000 to 920805900 as this goes very
       well with the example numbers.

          rrdtool create seconds1.rrd   \
             --start 920804700          \
             DS:seconds:COUNTER:600:U:U \
             RRA:AVERAGE:0.5:1:24

       Make a copy

          for Unix: cp seconds1.rrd seconds2.rrd
          for Dos:  copy seconds1.rrd seconds2.rrd
          for vms:  how would I know :)

       Put in some data

          rrdtool update seconds1.rrd \
             920805000:000 920805300:300 920805600:600 920805900:900
          rrdtool update seconds2.rrd \
             920805000:000 920805300:300 920805603:603 920805900:900

       Create output

          rrdtool graph seconds1.png                       \
             --start 920804700 --end 920806200             \
             --height 200                                  \
             --upper-limit 1.05 --lower-limit 0.95 --rigid \
             DEF:seconds=seconds1.rrd:seconds:AVERAGE      \
             CDEF:unknown=seconds,UN                       \
             LINE2:seconds#0000FF                          \
             AREA:unknown#FF0000
          rrdtool graph seconds2.png                       \
             --start 920804700 --end 920806200             \
             --height 200                                  \
             --upper-limit 1.05 --lower-limit 0.95 --rigid \
             DEF:seconds=seconds2.rrd:seconds:AVERAGE      \
             CDEF:unknown=seconds,UN                       \
             LINE2:seconds#0000FF                          \
             AREA:unknown#FF0000

       View  both  images  together  (add them to your index.html file) and compare. Both graphs should show the
       same, despite the input being different.

WRAPUP

       It's time now to wrap up this tutorial. We covered all the basics for you to be able to work with RRDtool
       and to read the additional documentation available. There is plenty more to discover  about  RRDtool  and
       you  will  find more and more uses for this package. You can easily create graphs using just the examples
       provided and using only RRDtool. You can also use one of the front ends to RRDtool that are available.

MAILINGLIST

       Remember to subscribe to the RRDtool mailing list. Even if you are not answering to mails that  come  by,
       it  helps  both  you  and the rest of the users. A lot of the stuff that I know about MRTG (and therefore
       about RRDtool) I've learned while just reading the list without posting to it. I did not need to ask  the
       basic  questions  as  they  are  answered in the FAQ (read it!) and in various mails by other users. With
       thousands of users all over the world, there will always be people who ask questions that you can  answer
       because you read this and other documentation and they didn't.

SEE ALSO

       The RRDtool manpages

AUTHOR

       I  hope you enjoyed the examples and their descriptions. If you do, help other people by pointing them to
       this document when they are asking basic questions. They will not only get their answers, but at the same
       time learn a whole lot more.

       Alex van den Bogaerdt <alex@vandenbogaerdt.nl>

1.4.7                                              2011-01-15                                     RRDTUTORIAL(1)