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CDEFTUTORIAL(1)			    rrdtool		       CDEFTUTORIAL(1)

       cdeftutorial - Alex van den Bogaerdt's CDEF tutorial

       Intention of this document: to provide some examples of the commonly
       used parts of RRDtool's CDEF language.

       If you think some important feature is not explained properly, and if
       adding it to this document would	benefit	most users, please do ask me
       to add it.  I will then try to provide an answer	in the next release of
       this tutorial.  No feedback equals no changes! Additions	to this	docu-
       ment are	also welcome.  -- Alex van den Bogaerdt	<alex@er->

       Why this	tutorial?

       One of the powerful parts of RRDtool is its ability to do all sorts of
       calculations on the data	retrieved from its databases. However, RRD-
       tool's many options and syntax make it difficult	for the	average	user
       to understand. The manuals are good at explaining what these options
       do; however they	do not (and should not)	explain	in detail why they are
       useful. As with my RRDtool tutorial: if you want	a simple document in
       simple language you should read this tutorial.  If you are happy	with
       the official documentation, you may find	this document too simple or
       even boring. If you do choose to	read this tutorial, I also expect you
       to have read and	fully understand my other tutorial.

       More reading

       If you have difficulties	with the way I try to explain it please	read
       Steve Rader's rpntutorial. It may help you understand how this all

What are CDEFs?
       When retrieving data from an RRD, you are using a "DEF" to work with
       that data. Think	of it as a variable that changes over time (where time
       is the x-axis). The value of this variable is what is found in the
       database	at that	particular time	and you	can't do any modifications on
       it. This	is what	CDEFs are for: they takes values from DEFs and perform
       calculations on them.


       You first define	"var_name_1" to	be data	collected from data source
       "ds_name" found in RRD "some.rrd" with consolidation function "CF".

       Assume the ifInOctets SNMP counter is saved in mrtg.rrd as the DS "in".
       Then the	following DEF defines a	variable for the average of that data


       Say you want to display bits per	second (instead	of bytes per second as
       stored in the database.)	 You have to define a calculation (hence
       "CDEF") on variable "inbytes" and use that variable (inbits) instead of
       the original:


       This tells RRDtool to multiply inbytes by eight to get inbits. I'll ex-
       plain later how this works. In the graphing or printing functions, you
       can now use inbits where	you would use inbytes otherwise.

       Note that the variable name used	in the CDEF (inbits) must not be the
       same as the variable named in the DEF (inbytes)!

       RPN is short-hand for Reverse Polish Notation. It works as follows.
       You put the variables or	numbers	on a stack. You	also put operations
       (things-to-do) on the stack and this stack is then processed. The re-
       sult will be placed on the stack. At the	end, there should be exactly
       one number left:	the outcome of the series of operations. If there is
       not exactly one number left, RRDtool will complain loudly.

       Above multiplication by eight will look like:

       1.  Start with an empty stack

       2.  Put the content of variable inbytes on the stack

       3.  Put the number eight	on the stack

       4.  Put the operation multiply on the stack

       5.  Process the stack

       6.  Retrieve the	value from the stack and put it	in variable inbits

       We will now do an example with real numbers. Suppose the	variable in-
       bytes would have	value 10, the stack would be:

       1.  ||

       2.  |10|

       3.  |10|8|

       4.  |10|8|*|

       5.  |80|

       6.  ||

       Processing the stack (step 5) will retrieve one value from the stack
       (from the right at step 4). This	is the operation multiply and this
       takes two values	off the	stack as input.	The result is put back on the
       stack (the value	80 in this case). For multiplication the order doesn't
       matter, but for other operations	like subtraction and division it does.
       Generally speaking you have the following order:

	  y = A	- B  -->  y=minus(A,B)	-->  CDEF:y=A,B,-

       This is not very	intuitive (at least most people	don't think so). For
       the function f(A,B) you reverse the position of "f", but	you do not re-
       verse the order of the variables.

Converting your	wishes to RPN
       First, get a clear picture of what you want to do. Break	down the prob-
       lem in smaller portions until they cannot be split anymore. Then	it is
       rather simple to	convert	your ideas into	RPN.

       Suppose you have	several	RRDs and would like to add up some counters in
       them. These could be, for instance, the counters	for every WAN link you
       are monitoring.

       You have:

	  router1.rrd with link1in link2in
	  router2.rrd with link1in link2in
	  router3.rrd with link1in link2in

       Suppose you would like to add up	all these counters, except for link2in
       inside router2.rrd. You need to do:

       (in this	example, "router1.rrd:link1in" means the DS link1in inside the
       RRD router1.rrd)

	  --------------------	 +
	  (outcome of the sum)

       As a mathematical function, this	could be written:

       "add(router1.rrd:link1in	, router1.rrd:link2in ,	router2.rrd:link1in ,
       router3.rrd:link1in ,"

       With RRDtool and	RPN, first, define the inputs:


       Now, the	mathematical function becomes: "add(a,b,c,d,e)"

       In RPN, there's no operator that	sums more than two values so you need
       to do several additions.	You add	a and b, add c to the result, add d to
       the result and add e to the result.

	  push a:	  a	stack contains the value of a
	  push b and add: b,+	stack contains the result of a+b
	  push c and add: c,+	stack contains the result of a+b+c
	  push d and add: d,+	stack contains the result of a+b+c+d
	  push e and add: e,+	stack contains the result of a+b+c+d+e

       What was	calculated here	would be written down as:

	  ( ( (	(a+b) +	c) + d)	+ e) >

       This is in RPN:	"CDEF:result=a,b,+,c,+,d,+,e,+"

       This is correct but it can be made more clear to	humans.	It does	not
       matter if you add a to b	and then add c to the result or	first add b to
       c and then add a	to the result. This makes it possible to rewrite the
       RPN into	"CDEF:result=a,b,c,d,e,+,+,+,+"	which is evaluated differ-

	  push value of	variable a on the stack: a
	  push value of	variable b on the stack: a b
	  push value of	variable c on the stack: a b c
	  push value of	variable d on the stack: a b c d
	  push value of	variable e on the stack: a b c d e
	  push operator	+ on the stack:		 a b c d e +
	  and process it:			 a b c P   (where P == d+e)
	  push operator	+ on the stack:		 a b c P +
	  and process it:			 a b Q	   (where Q == c+P)
	  push operator	+ on the stack:		 a b Q +
	  and process it:			 a R	   (where R == b+Q)
	  push operator	+ on the stack:		 a R +
	  and process it:			 S	   (where S == a+R)

       As you can see the RPN expression "a,b,c,d,e,+,+,+,+,+" will evaluate
       in "((((d+e)+c)+b)+a)" and it has the same outcome as
       "a,b,+,c,+,d,+,e,+".  This is called the	commutative law	of addition,
       but you may forget this right away, as long as you remember what	it

       Now look	at an expression that contains a multiplication:

       First in	normal math: "let result = a+b*c". In this case	you can't
       choose the order	yourself, you have to start with the multiplication
       and then	add a to it. You may alter the position	of b and c, you	must
       not alter the position of a and b.

       You have	to take	this in	consideration when converting this expression
       into RPN. Read it as: "Add the outcome of b*c to	a" and then it is easy
       to write	the RPN	expression: "result=a,b,c,*,+" Another expression that
       would return the	same: "result=b,c,*,a,+"

       In normal math, you may encounter something like	"a*(b+c)" and this can
       also be converted into RPN. The parenthesis just	tell you to first add
       b and c,	and then multiply a with the result. Again, now	it is easy to
       write it	in RPN:	"result=a,b,c,+,*". Note that this is very similar to
       one of the expressions in the previous paragraph, only the multiplica-
       tion and	the addition changed places.

       When you	have problems with RPN or when RRDtool is complaining, it's
       usually a good thing to write down the stack on a piece of paper	and
       see what	happens. Have the manual ready and pretend to be RRDtool.
       Just do all the math by hand to see what	happens, I'm sure this will
       solve most, if not all, problems	you encounter.

Some special numbers
       The unknown value

       Sometimes collecting your data will fail. This can be very common, es-
       pecially	when querying over busy	links. RRDtool can be configured to
       allow for one (or even more) unknown value(s) and calculate the missing
       update. You can,	for instance, query your device	every minute. This is
       creating	one so called PDP or primary data point	per minute. If you de-
       fined your RRD to contain an RRA	that stores 5-minute values, you need
       five of those PDPs to create one	CDP (consolidated data point).	These
       PDPs can	become unknown in two cases:

       1.  The updates are too far apart. This is tuned	using the "heartbeat"

       2.  The update was set to unknown on purpose by inserting no value (us-
	   ing the template option) or by using	"U" as the value to insert.

       When a CDP is calculated, another mechanism determines if this CDP is
       valid or	not. If	there are too many PDPs	unknown, the CDP is unknown as
       well.  This is determined by the	xff factor. Please note	that one un-
       known counter update can	result in two unknown PDPs! If you only	allow
       for one unknown PDP per CDP, this makes the CDP go unknown!

       Suppose the counter increments with one per second and you retrieve it
       every minute:

	  counter value	   resulting rate
	  10'060	    1; (10'060-10'000)/60 == 1
	  10'120	    1; (10'120-10'060)/60 == 1
	  unknown	    unknown; you don't know the	last value
	  10'240	    unknown; you don't know the	previous value
	  10'300	    1; (10'300-10'240)/60 == 1

       If the CDP was to be calculated from the	last five updates, it would
       get two unknown PDPs and	three known PDPs. If xff would have been set
       to 0.5 which by the way is a commonly used factor, the CDP would	have a
       known value of 1. If xff	would have been	set to 0.2 then	the resulting
       CDP would be unknown.

       You have	to decide the proper values for	heartbeat, number of PDPs per
       CDP and the xff factor. As you can see from the previous	text they de-
       fine the	behavior of your RRA.

       Working with unknown data in your database

       As you have read	in the previous	chapter, entries in an RRA can be set
       to the unknown value. If	you do calculations with this type of value,
       the result has to be unknown too. This means that an expression such as
       "result=a,b,+" will be unknown if either	a or b is unknown.  It would
       be wrong	to just	ignore the unknown value and return the	value of the
       other parameter.	By doing so, you would assume "unknown"	means "zero"
       and this	is not true.

       There has been a	case where somebody was	collecting data	for over a
       year.  A	new piece of equipment was installed, a	new RRD	was created
       and the scripts were changed to add a counter from the old database and
       a counter from the new database.	The result was disappointing, a	large
       part of the statistics seemed to	have vanished mysteriously ...	They
       of course didn't, values	from the old database (known values) were
       added to	values from the	new database (unknown values) and the result
       was unknown.

       In this case, it	is fairly reasonable to	use a CDEF that	alters unknown
       data into zero. The counters of the device were unknown (after all, it
       wasn't installed	yet!) but you know that	the data rate through the de-
       vice had	to be zero (because of the same	reason:	it was not installed).

       There are some examples below that make this change.


       Infinite	data is	another	form of	a special number. It cannot be graphed
       because by definition you would never reach the infinite	value. You can
       think of	positive and negative infinity depending on the	position rela-
       tive to zero.

       RRDtool is capable of representing (-not- graphing!) infinity by	stop-
       ping at its current maximum (for	positive infinity) or minimum (for
       negative	infinity) without knowing this maximum (minimum).

       Infinity	in RRDtool is mostly used to draw an AREA without knowing its
       vertical	dimensions. You	can think of it	as drawing an AREA with	an in-
       finite height and displaying only the part that is visible in the cur-
       rent graph. This	is probably a good way to approximate infinity and it
       sure allows for some neat tricks. See below for examples.

       Working with unknown data and infinity

       Sometimes you would like	to discard unknown data	and pretend it is zero
       (or any other value for that matter) and	sometimes you would like to
       pretend that known data is unknown (to discard known-to-be-wrong	data).
       This is why CDEFs have support for unknown data.	There are also exam-
       ples available that show	unknown	data by	using infinity.

Some examples
       Example:	using a	recently created RRD

       You are keeping statistics on your router for over a year now. Recently
       you installed an	extra router and you would like	to show	the combined
       throughput for these two	devices.

       If you just add up the counters from router.rrd and router2.rrd,	you
       will add	known data (from router.rrd) to	unknown	data (from
       router2.rrd) for	the bigger part	of your	stats. You could solve this in
       a few ways:

       o   While creating the new database, fill it with zeros from the	start
	   to now.  You	have to	make the database start	at or before the least
	   recent time in the other database.

       o   Alternatively, you could use	CDEF and alter unknown data to zero.

       Both methods have their pros and	cons. The first	method is troublesome
       and if you want to do that you have to figure it	out yourself. It is
       not possible to create a	database filled	with zeros, you	have to	put
       them in manually. Implementing the second method	is described next:

       What we want is:	"if the	value is unknown, replace it with zero". This
       could be	written	in pseudo-code as:  if (value is unknown) then (zero)
       else (value). When reading the rrdgraph manual you notice the "UN"
       function	that returns zero or one. You also notice the "IF" function
       that takes zero or one as input.

       First look at the "IF" function.	It takes three values from the stack,
       the first value is the decision point, the second value is returned to
       the stack if the	evaluation is "true" and if not, the third value is
       returned	to the stack. We want the "UN" function	to decide what happens
       so we combine those two functions in one	CDEF.

       Lets write down the two possible	paths for the "IF" function:

	  if true  return a
	  if false return b

       In RPN:	"result=x,a,b,IF" where	"x" is either true or false.

       Now we have to fill in "x", this	should be the "(value is unknown)"
       part and	this is	in RPN:	 "result=value,UN"

       We now combine them: "result=value,UN,a,b,IF" and when we fill in the
       appropriate things for "a" and "b" we're	finished:


       You may want to read Steve Rader's RPN guide if you have	difficulties
       with the	way I explained	this last example.

       If you want to check this RPN expression, just mimic RRDtool behavior:

	  For any known	value, the expression evaluates	as follows:
	  CDEF:result=value,UN,0,value,IF  (value,UN) is not true so it	becomes	0
	  CDEF:result=0,0,value,IF	   "IF"	will return the	3rd value
	  CDEF:result=value		   The known value is returned

	  For the unknown value, this happens:
	  CDEF:result=value,UN,0,value,IF  (value,UN) is true so it becomes 1
	  CDEF:result=1,0,value,IF	   "IF"	sees 1 and returns the 2nd value
	  CDEF:result=0			   Zero	is returned

       Of course, if you would like to see another value instead of zero, you
       can use that other value.

       Eventually, when	all unknown data is removed from the RRD, you may want
       to remove this rule so that unknown data	is properly displayed.

       Example:	better handling	of unknown data, by using time

       The above example has one drawback. If you do log unknown data in your
       database	after installing your new equipment, it	will also be trans-
       lated into zero and therefore you won't see that	there was a problem.
       This is not good	and what you really want to do is:

       o   If there is unknown data, look at the time that this	sample was

       o   If the unknown value	is before time xxx, make it zero.

       o   If it is after time xxx, leave it as	unknown	data.

       This is doable: you can compare the time	that the sample	was taken to
       some known time.	Assuming you started to	monitor	your device on Friday
       September 17, 1999, 00:35:57 MET	DST. Translate this time in seconds
       since 1970-01-01	and it becomes 937'521'357. If you process unknown
       values that were	received after this time, you want to leave them un-
       known and if they were "received" before	this time, you want to trans-
       late them into zero (so you can effectively ignore them while adding
       them to your other routers counters).

       Translating Friday September 17,	1999, 00:35:57 MET DST into
       937'521'357 can be done by, for instance, using gnu date:

	  date -d "19990917 00:35:57" +%s

       You could also dump the database	and see	where the data starts to be
       known. There are	several	other ways of doing this, just pick one.

       Now we have to create the magic that allows us to process unknown val-
       ues different depending on the time that	the sample was taken.  This is
       a three step process:

       1.  If the timestamp of the value is after 937'521'357, leave it	as is.

       2.  If the value	is a known value, leave	it as is.

       3.  Change the unknown value into zero.

       Lets look at part one:

	   if (true) return the	original value

       We rewrite this:

	   if (true) return "a"
	   if (false) return "b"

       We need to calculate true or false from step 1. There is	a function
       available that returns the timestamp for	the current sample. It is
       called, how surprisingly, "TIME". This time has to be compared to a
       constant	number,	we need	"GT". The output of "GT" is true or false and
       this is good input to "IF". We want "if (time > 937521357) then (return
       a) else (return b)".

       This process was	already	described thoroughly in	the previous chapter
       so lets do it quick:

	  if (x) then a	else b
	     where x represents	"time>937521357"
	     where a represents	the original value
	     where b represents	the outcome of the previous example

	  time>937521357       --> TIME,937521357,GT

	  if (x) then a	else b --> x,a,b,IF
	  substitute x	       --> TIME,937521357,GT,a,b,IF
	  substitute a	       --> TIME,937521357,GT,value,b,IF
	  substitute b	       --> TIME,937521357,GT,value,value,UN,0,value,IF,IF

       We end up with: "CDEF:re-

       This looks very complex,	however, as you	can see, it was	not too	hard
       to come up with.

       Example:	Pretending weird data isn't there

       Suppose you have	a problem that shows up	as huge	spikes in your graph.
       You know	this happens and why, so you decide to work around the prob-
       lem.  Perhaps you're using your network to do a backup at night and by
       doing so	you get	almost 10mb/s while the	rest of	your network activity
       does not	produce	numbers	higher than 100kb/s.

       There are two options:

       1.  If the number exceeds 100kb/s it is wrong and you want it masked
	   out by changing it into unknown.

       2.  You don't want the graph to show more than 100kb/s.

       Pseudo code: if (number > 100) then unknown else	number or Pseudo code:
       if (number > 100) then 100 else number.

       The second "problem" may	also be	solved by using	the rigid option of
       RRDtool graph, however this has not the same result. In this example
       you can end up with a graph that	does autoscaling. Also,	if you use the
       numbers to display maxima they will be set to 100kb/s.

       We use "IF" and "GT" again. "if (x) then	(y) else (z)" is written down
       as "CDEF:result=x,y,z,IF"; now fill in x, y and z.  For x you fill in
       "number greater than 100kb/s" becoming "number,100000,GT" (kilo is
       1'000 and b/s is	what we	measure!).  The	"z" part is "number" in	both
       cases and the "y" part is either	"UNKN" for unknown or "100000" for

       The two CDEF expressions	would be:


       Example:	working	on a certain time span

       If you want a graph that	spans a	few weeks, but would only want to see
       some routers' data for one week,	you need to "hide" the rest of the
       time frame. Don't ask me	when this would	be useful, it's	just here for
       the example :)

       We need to compare the time stamp to a begin date and an	end date.
       Comparing isn't difficult:


       These two parts of the CDEF produce either 0 for	false or 1 for true.
       We can now check	if they	are both 0 (or 1) using	a few IF statements
       but, as Wataru Satoh pointed out, we can	use the	"*" or "+" functions
       as logical AND and logical OR.

       For "*",	the result will	be zero	(false)	if either one of the two oper-
       ators is	zero.  For "+",	the result will	only be	false (0) when two
       false (0) operators will	be added.  Warning: *any* number not equal to
       0 will be considered "true". This means that, for instance, "-1,1,+"
       (which should be	"true or true")	will become FALSE ...  In other	words,
       use "+" only if you know	for sure that you have positive	numbers	(or
       zero) only.

       Let's compile the complete CDEF:


       This will return	the value of ds0 if both comparisons return true. You
       could also do it	the other way around:


       This will return	an UNKNOWN if either comparison	returns	true.

       Example:	You suspect to have problems and want to see unknown data.

       Suppose you add up the number of	active users on	several	terminal
       servers.	 If one	of them	doesn't	give an	answer (or an incorrect	one)
       you get "NaN" in	the database ("Not a Number") and NaN is evaluated as

       In this case, you would like to be alerted to it	and the	sum of the re-
       maining values is of no value to	you.

       It would	be something like:


       If you now plot allusers, unknown data in one of	users1..users4 will
       show up as a gap	in your	graph. You want	to modify this to show a
       bright red line,	not a gap.

       Define an extra CDEF that is unknown if all is okay and is infinite if
       there is	an unknown value:


       "allusers,UN" will evaluate to either true or false, it is the (x) part
       of the "IF" function and	it checks if allusers is unknown.  The (y)
       part of the "IF"	function is set	to "INF" (which	means infinity)	and
       the (z) part of the function returns "UNKN".

       The logic is: if	(allusers == unknown) then return INF else return

       You can now use AREA to display this "wrongdata"	in bright red. If it
       is unknown (because allusers is known) then the red AREA	won't show up.
       If the value is INF (because allusers is	unknown) then the red AREA
       will be filled in on the	graph at that particular time.

	  AREA:allusers#0000FF:combined	user count
	  AREA:wrongdata#FF0000:unknown	data

       Same example useful with	STACKed	data:

       If you use stack	in the previous	example	(as I would do)	then you don't
       add up the values. Therefore, there is no relationship between the four
       values and you don't get	a single value to test.	 Suppose users3	would
       be unknown at one point in time:	users1 is plotted, users2 is stacked
       on top of users1, users3	is unknown and therefore nothing happens,
       users4 is stacked on top	of users2.  Add	the extra CDEFs	anyway and use
       them to overlay the "normal" graph:

	  AREA:users1#0000FF:users at ts1
	  STACK:users2#00FF00:users at ts2
	  STACK:users3#00FFFF:users at ts3
	  STACK:users4#FFFF00:users at ts4
	  AREA:wrongdata#FF0000:unknown	data

       If there	is unknown data	in one of users1..users4, the "wrongdata" AREA
       will be drawn and because it starts at the X-axis and has infinite
       height it will effectively overwrite the	STACKed	parts.

       You could combine the two CDEF lines into one (we don't use "allusers")
       if you like.  But there are good	reasons	for writing two	CDEFS:

       o   It improves the readability of the script.

       o   It can be used inside GPRINT	to display the total number of users.

       If you choose to	combine	them, you can substitute the "allusers"	in the
       second CDEF with	the part after the equal sign from the first line:


       If you do so, you won't be able to use these next GPRINTs:

	  COMMENT:"Total number	of users seen"
	  GPRINT:allusers:MAX:"Maximum:	%6.0lf"
	  GPRINT:allusers:MIN:"Minimum:	%6.0lf"
	  GPRINT:allusers:AVERAGE:"Average: %6.0lf"
	  GPRINT:allusers:LAST:"Current: %6.0lf\n"

The examples from the RRD graph	manual page
       Degrees Celsius vs. Degrees Fahrenheit

       To convert Celsius into Fahrenheit use the formula F=9/5*C+32

	  rrdtool graph	demo.png --title="Demo Graph" \
	     DEF:cel=demo.rrd:exhaust:AVERAGE \
	     CDEF:far=9,5,/,cel,*,32,+ \
	     LINE2:cel#00a000:"D. Celsius" \
	     LINE2:far#ff0000:"D. Fahrenheit\c"

       This example gets the DS	called "exhaust" from database "demo.rrd" and
       puts the	values in variable "cel". The CDEF used	is evaluated as	fol-

	  1. push 9, push 5
	  2. push function "divide" and	process	it
	     the stack now contains 9/5
	  3. push variable "cel"
	  4. push function "multiply" and process it
	     the stack now contains 9/5*cel
	  5. push 32
	  6. push function "plus" and process it
	     the stack contains	now the	temperature in Fahrenheit

       Changing	unknown	into zero

	  rrdtool graph	demo.png --title="Demo Graph" \
	     DEF:idat1=interface1.rrd:ds0:AVERAGE \
	     DEF:idat2=interface2.rrd:ds0:AVERAGE \
	     DEF:odat1=interface1.rrd:ds1:AVERAGE \
	     DEF:odat2=interface2.rrd:ds1:AVERAGE \
	     CDEF:agginput=idat1,UN,0,idat1,IF,idat2,UN,0,idat2,IF,+,8,* \
	     CDEF:aggoutput=odat1,UN,0,odat1,IF,odat2,UN,0,odat2,IF,+,8,* \
	     AREA:agginput#00cc00:Input	Aggregate \
	     LINE1:aggoutput#0000FF:Output Aggregate

       These two CDEFs are built from several functions. It helps to split
       them when viewing what they do. Starting	with the first CDEF we would

	idat1,UN --> a
	0	 --> b
	idat1	 --> c
	if (a) then (b)	else (c)

       The result is therefore "0" if it is true that "idat1" equals "UN".  If
       not, the	original value of "idat1" is put back on the stack.  Lets call
       this answer "d".	The process is repeated	for the	next five items	on the
       stack, it is done the same and will return answer "h". The resulting
       stack is	therefore "d,h".  The expression has been simplified to
       "d,h,+,8,*" and it will now be easy to see that we add "d" and "h", and
       multiply	the result with	eight.

       The end result is that we have added "idat1" and	"idat2"	and in the
       process we effectively ignored unknown values. The result is multiplied
       by eight, most likely to	convert	bytes/s	to bits/s.

       Infinity	demo

	  rrdtool graph	example.png --title="INF demo" \
	     DEF:val1=some.rrd:ds0:AVERAGE \
	     DEF:val2=some.rrd:ds1:AVERAGE \
	     DEF:val3=some.rrd:ds2:AVERAGE \
	     DEF:val4=other.rrd:ds0:AVERAGE \
	     CDEF:background=val4,POP,TIME,7200,%,3600,LE,INF,UNKN,IF \
	     CDEF:wipeout=val1,val2,val3,val4,+,+,+,UN,INF,UNKN,IF \
	     AREA:background#F0F0F0 \
	     AREA:val1#0000FF:Value1 \
	     STACK:val2#00C000:Value2 \
	     STACK:val3#FFFF00:Value3 \
	     STACK:val4#FFC000:Value4 \

       This demo demonstrates two ways to use infinity.	It is a	bit tricky to
       see what	happens	in the "background" CDEF.


       This RPN	takes the value	of "val4" as input and then immediately	re-
       moves it	from the stack using "POP". The	stack is now empty but as a
       side effect we now know the time	that this sample was taken.  This time
       is put on the stack by the "TIME" function.

       "TIME,7200,%" takes the modulo of time and 7'200	(which is two hours).
       The resulting value on the stack	will be	a number in the	range from 0
       to 7199.

       For people who don't know the modulo function: it is the	remainder af-
       ter an integer division.	If you divide 16 by 3, the answer would	be 5
       and the remainder would be 1. So, "16,3,%" returns 1.

       We have the result of "TIME,7200,%" on the stack, lets call this	"a".
       The start of the	RPN has	become "a,3600,LE" and this checks if "a" is
       less or equal than "3600". It is	true half of the time.	We now have to
       process the rest	of the RPN and this is only a simple "IF" function
       that returns either "INF" or "UNKN" depending on	the time. This is re-
       turned to variable "background".

       The second CDEF has been	discussed earlier in this document so we won't
       do that here.

       Now you can draw	the different layers. Start with the background	that
       is either unknown (nothing to see) or infinite (the whole positive part
       of the graph gets filled).

       Next you	draw the data on top of	this background, it will overlay the
       background. Suppose one of val1..val4 would be unknown, in that case
       you end up with only three bars stacked on top of each other.  You
       don't want to see this because the data is only valid when all four
       variables are valid. This is why	you use	the second CDEF, it will over-
       lay the data with an AREA so the	data cannot be seen anymore.

       If your data can	also have negative values you also need	to overwrite
       the other half of your graph. This can be done in a relatively simple
       way: what you need is the "wipeout" variable and	place a	negative sign
       before it:  "CDEF:wipeout2=wipeout,-1,*"

       Filtering data

       You may do some complex data filtering:

	 MEDIAN	FILTER:	filters	shot noise

	   LINE1:prev2#007700:'raw data'


	   LINE1:var#007700:'raw data'

Out of ideas for now
       This document was created from questions	asked by either	myself or by
       other people on the RRDtool mailing list. Please	let me know if you
       find errors in it or if you have	trouble	understanding it. If you think
       there should be an addition, mail me: <>

       Remember: No feedback equals no changes!

       The RRDtool manpages

       Alex van	den Bogaerdt <>

1.2.30				  2009-01-19		       CDEFTUTORIAL(1)

NAME | DESCRIPTION | What are CDEFs? | Syntax | RPN-expressions | Converting your wishes to RPN | Some special numbers | Some examples | The examples from the RRD graph manual page | Out of ideas for now | SEE ALSO | AUTHOR

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