Provided by: rrdtool_1.7.2-4.1ubuntu3_amd64 bug

NAME

       rrdgraph_rpn - About RPN Math in rrdtool graph

SYNOPSIS

       RPN expression:=vname|operator|value[,RPN expression]

DESCRIPTION

       If you have ever used a traditional HP calculator you already know RPN (Reverse Polish Notation).  The
       idea behind RPN is that you have a stack and push your data onto this stack. Whenever you execute an
       operation, it takes as many elements from the stack as needed. Pushing is done implicitly, so whenever
       you specify a number or a variable, it gets pushed onto the stack automatically.

       At the end of the calculation there should be one and only one value left on the stack.  This is the
       outcome of the function and this is what is put into the vname.  For CDEF instructions, the stack is
       processed for each data point on the graph. VDEF instructions work on an entire data set in one run.
       Note, that currently VDEF instructions only support a limited list of functions.

       Example: "VDEF:maximum=mydata,MAXIMUM"

       This will set variable "maximum" which you now can use in the rest of your RRD script.

       Example: "CDEF:mydatabits=mydata,8,*"

       This means:  push variable mydata, push the number 8, execute the operator *. The operator needs two
       elements and uses those to return one value.  This value is then stored in mydatabits.  As you may have
       guessed, this instruction means nothing more than mydatabits = mydata * 8.  The real power of RPN lies in
       the fact that it is always clear in which order to process the input.  For expressions like "a = b + 3 *
       5" you need to multiply 3 with 5 first before you add b to get a. However, with parentheses you could
       change this order: "a = (b + 3) * 5". In RPN, you would do "a = b, 3, +, 5, *" without the need for
       parentheses.

OPERATORS

       Boolean operators
           LT, LE, GT, GE, EQ, NE

           Less  than, Less or equal, Greater than, Greater or equal, Equal, Not equal all pop two elements from
           the stack, compare them for the selected condition and return 1 for true or 0 for false. Comparing an
           unknown or an infinite value will result in unknown returned ... which will also be treated as  false
           by the IF call.

           UN, ISINF

           Pop  one  element  from  the  stack,  compare  this  to  unknown respectively to positive or negative
           infinity. Returns 1 for true or 0 for false.

           then,else,condition,IF

           Pops three elements from the stack.  If the element popped last is 0 (false), the value popped  first
           is  pushed  back onto the stack, otherwise the value popped second is pushed back. This does, indeed,
           mean that any value other than 0 is considered to be true.

           Example: "A,B,C,IF" should be read as "if (A) then (B) else (C)"

       Comparing values
           MIN, MAX

           Pops two elements from the stack and returns the smaller or larger, respectively.  Note that infinite
           is larger than anything else.  If one of the  input  numbers  is  unknown  then  the  result  of  the
           operation will be unknown too.

           MINNAN, MAXNAN

           NAN-safe  version  of  MIN  and  MAX.  If  one of the input numbers is unknown then the result of the
           operation will be the other one. If both are unknown, then the result of the operation is unknown.

           lower-limit,upper-limit,LIMIT

           Pops two elements from the stack and uses them to define a range.  Then it pops another  element  and
           if it falls inside the range, it is pushed back. If not, an unknown is pushed.

           The  range  defined  includes the two boundaries (so: a number equal to one of the boundaries will be
           pushed back). If any of the three numbers involved is either unknown or infinite this  function  will
           always return an unknown

           Example:  "CDEF:a=alpha,0,100,LIMIT"  will return unknown if alpha is lower than 0 or if it is higher
           than 100.

       Arithmetics
           +, -, *, /, %

           Add, subtract, multiply, divide, modulo

           ADDNAN

           NAN-safe addition. If one parameter is NAN/UNKNOWN it'll be treated as zero. If both  parameters  are
           NAN/UNKNOWN, NAN/UNKNOWN will be returned.

           value,power,POW

           Raise value to the power of power.

           SIN, COS, LOG, EXP, SQRT

           Sine and cosine (input in radians), log and exp (natural logarithm), square root.

           ATAN

           Arctangent (output in radians).

           ATAN2

           Arctangent  of  y,x  components  (output  in  radians).   This pops one element from the stack, the x
           (cosine) component, and then a second,  which  is  the  y  (sine)  component.   It  then  pushes  the
           arctangent of their ratio, resolving the ambiguity between quadrants.

           Example: "CDEF:angle=Y,X,ATAN2,RAD2DEG" will convert "X,Y" components into an angle in degrees.

           FLOOR, CEIL

           Round down or up to the nearest integer.

           DEG2RAD, RAD2DEG

           Convert angle in degrees to radians, or radians to degrees.

           ABS

           Take the absolute value.

       Set Operations
           count,SORT

           Pop  one  element  from  the  stack.   This is the count of items to be sorted.  The top count of the
           remaining elements are then sorted from the smallest to the largest, in place on the stack.

              4,3,22.1,1,4,SORT -> 1,3,4,22.1

           count,REV

           Reverse the number

           Example: "CDEF:x=v1,v2,v3,v4,v5,v6,6,SORT,POP,5,REV,POP,+,+,+,4,/" will compute the  average  of  the
           values v1 to v6 after removing the smallest and largest.

           count,AVG

           Pop  one  element  (count) from the stack. Now pop count elements and build the average, ignoring all
           UNKNOWN values in the process.

           Example: "CDEF:x=a,b,c,d,4,AVG"

           count,SMIN and count,SMAX

           Pop one element (count) from the stack. Now pop count elements and push the minimum/maximum back onto
           the stack.

           Example: "CDEF:x=a,b,c,d,4,AVG"

           count,MEDIAN

           pop one element (count) from the stack. Now pop count elements and  find  the  median,  ignoring  all
           UNKNOWN  values in the process. If there are an even number of non-UNKNOWN values, the average of the
           middle two will be pushed on the stack.

           Example: "CDEF:x=a,b,c,d,4,MEDIAN"

           count,STDEV

           pop one element (count) from the stack. Now pop count elements and calculate the  standard  deviation
           over these values (ignoring any NAN values). Push the result back on to the stack.

           Example: "CDEF:x=a,b,c,d,4,STDEV"

           percent,count,PERCENT

           pop two elements (count,percent) from the stack. Now pop count element, order them by size (while the
           smalles  elements are -INF, the largest are INF and NaN is larger than -INF but smaller than anything
           else. No pick the element from the ordered list where percent of the elements are equal then the  one
           picked. Push the result back on to the stack.

           Example: "CDEF:x=a,b,c,d,95,4,PERCENT"

           count,TREND, TRENDNAN

           Create a "sliding window" average of another data series.

           Usage: CDEF:smoothed=x,1800,TREND

           This  will  create a half-hour (1800 second) sliding window average of x.  The average is essentially
           computed as shown here:

                            +---!---!---!---!---!---!---!---!--->
                                                                now
                                  delay     t0
                            <--------------->
                                    delay       t1
                                <--------------->
                                         delay      t2
                                    <--------------->

                Value at sample (t0) will be the average between (t0-delay) and (t0)
                Value at sample (t1) will be the average between (t1-delay) and (t1)
                Value at sample (t2) will be the average between (t2-delay) and (t2)

           TRENDNAN is - in contrast to TREND - NAN-safe. If you use TREND and  one  source  value  is  NAN  the
           complete  sliding  window  is  affected.  The  TRENDNAN operation ignores all NAN-values in a sliding
           window and computes the average of the remaining values.

           PREDICT, PREDICTSIGMA, PREDICTPERC

           Create a "sliding window" average/sigma/percentil of another data series, that also shifts  the  data
           series by given amounts of time as well

           Usage   -   explicit  stating  shifts:  "CDEF:predict=<shift  n>,...,<shift  1>,n,<window>,x,PREDICT"
           "CDEF:sigma=<shift  n>,...,<shift   1>,n,<window>,x,PREDICTSIGMA"   "CDEF:perc=<shift   n>,...,<shift
           1>,n,<window>,<percentil>,x,PREDICTPERC"

           Usage  -  shifts  defined  as  a base shift and a number of time this is applied "CDEF:predict=<shift
           multiplier>,-n,<window>,x,PREDICT"     "CDEF:sigma=<shift     multiplier>,-n,<window>,x,PREDICTSIGMA"
           "CDEF:sigma=<shift multiplier>,-n,<window>,<percentil>,x,PREDICTPERC"

           Example: CDEF:predict=172800,86400,2,1800,x,PREDICT

           This  will  create  a  half-hour  (1800  second)  sliding  window average/sigma of x, that average is
           essentially computed as shown here:

            +---!---!---!---!---!---!---!---!---!---!---!---!---!---!---!---!---!--->
                                                                                now
                                                             shift 1        t0
                                                    <----------------------->
                                          window
                                    <--------------->
                                                  shift 2
                            <----------------------------------------------->
                  window
            <--------------->
                                                                 shift 1        t1
                                                        <----------------------->
                                              window
                                        <--------------->
                                                       shift 2
                                <----------------------------------------------->
                      window
                <--------------->

            Value at sample (t0) will be the average between (t0-shift1-window) and (t0-shift1)
                                                 and between (t0-shift2-window) and (t0-shift2)
            Value at sample (t1) will be the average between (t1-shift1-window) and (t1-shift1)
                                                 and between (t1-shift2-window) and (t1-shift2)

           The function is by design NAN-safe.  This also allows for extrapolation into the future  (say  a  few
           days) - you may need to define the data series with the optional start= parameter, so that the source
           data series has enough data to provide prediction also at the beginning of a graph...

           The  percentile  can  be  between  [-100:+100].  The positive percentiles interpolates between values
           while the negative will take the closest.

           Example: you run 7 shifts with a window of 1800 seconds. Assuming that the rrd-file has a  step  size
           of  300  seconds  this  means  we have to do the percentile calculation based on a max of 42 distinct
           values (less if you got NAN). that means that in the best case you get a step rate between values  of
           2.4  percent.   so  if  you  ask  for the 99th percentile, then you would need to look at the 41.59th
           value. As we only have integers, either the 41st or the 42nd value.

           With the positive percentile a linear interpolation between the 2 values is done to get the effective
           value.

           The negative returns the closest value distance wise - so in the above  case  42nd  value,  which  is
           effectively returning the Percentile100 or the max of the previous 7 days in the window.

           Here  an  example,  that  will  create  a 10 day graph that also shows the prediction 3 days into the
           future with its uncertainty value (as defined by avg+-4*sigma) This also shows if the  prediction  is
           exceeded at a certain point.

               rrdtool graph image.png --imgformat=PNG \
               --start=-7days --end=+3days --width=1000 --height=200 --alt-autoscale-max \
               DEF:value=value.rrd:value:AVERAGE:start=-14days \
               LINE1:value#ff0000:value \
               CDEF:predict=86400,-7,1800,value,PREDICT \
               CDEF:sigma=86400,-7,1800,value,PREDICTSIGMA \
               CDEF:upper=predict,sigma,3,*,+ \
               CDEF:lower=predict,sigma,3,*,- \
               LINE1:predict#00ff00:prediction \
               LINE1:upper#0000ff:upper\ certainty\ limit \
               LINE1:lower#0000ff:lower\ certainty\ limit \
               CDEF:exceeds=value,UN,0,value,lower,upper,LIMIT,UN,IF \
               TICK:exceeds#aa000080:1 \
               CDEF:perc95=86400,-7,1800,95,value,PREDICTPERC \
               LINE1:perc95#ffff00:95th_percentile

           Note:  Experience  has  shown that a factor between 3 and 5 to scale sigma is a good discriminator to
           detect abnormal behavior. This obviously depends also on the type of data and how  "noisy"  the  data
           series is.

           Also  Note  the explicit use of start= in the CDEF - this is necessary to load all the necessary data
           (even if it is not displayed)

           This prediction can only be used for short term extrapolations - say a few days into the future.

       Special values
           UNKN

           Pushes an unknown value on the stack

           INF, NEGINF

           Pushes a positive or negative infinite value on the stack. When such a value is graphed,  it  appears
           at the top or bottom of the graph, no matter what the actual value on the y-axis is.

           PREV

           Pushes an unknown value if this is the first value of a data set or otherwise the result of this CDEF
           at  the previous time step. This allows you to do calculations across the data.  This function cannot
           be used in VDEF instructions.

           PREV(vname)

           Pushes an unknown value if this is the first value of a data set or otherwise the result of the vname
           variable at the previous time step. This allows you to do calculations across the data. This function
           cannot be used in VDEF instructions.

           COUNT

           Pushes the number 1 if this is the first value of the data set, the number 2 if it is the second, and
           so on. This special value allows you to make calculations based on the position of the  value  within
           the data set. This function cannot be used in VDEF instructions.

       Time
           Time  inside  RRDtool  is  measured  in  seconds  since  the  epoch.  The  epoch  is  defined  to  be
           "Thu Jan  1 00:00:00 UTC 1970".

           NOW

           Pushes the current time on the stack.

           STEPWIDTH

           The width of the current step in seconds. You can use this to go back from rate  based  presentations
           to absolute numbers

             CDEF:abs=rate,STEPWIDTH,*,PREV,ADDNAN

           NEWDAY,NEWWEEK,NEWMONTH,NEWYEAR

           These  three  operators will return 1.0 whenever a step is the first of the given period. The periods
           are determined according to the local timezone AND the "LC_TIME" settings.

             CDEF:mtotal=rate,STEPWIDTH,*,NEWMONTH,0,PREV,IF,ADDNAN

           TIME

           Pushes the time the currently processed value was taken at onto the stack.

           LTIME

           Takes the time as defined by TIME, applies the time zone offset valid at that time including daylight
           saving time if your OS supports it, and pushes the result  on  the  stack.   There  is  an  elaborate
           example in the examples section below on how to use this.

       Processing the stack directly
           DUP, POP, EXC

           Duplicate the top element, remove the top element, exchange the two top elements.

           DEPTH

           pushes the current depth of the stack onto the stack

            a,b,DEPTH -> a,b,2

           n,COPY

           push a copy of the top n elements onto the stack

            a,b,c,d,2,COPY => a,b,c,d,c,d

           n,INDEX

           push the nth element onto the stack.

            a,b,c,d,3,INDEX -> a,b,c,d,b

           n,m,ROLL

           rotate the top n elements of the stack by m

            a,b,c,d,3,1,ROLL => a,d,b,c
            a,b,c,d,3,-1,ROLL => a,c,d,b

VARIABLES

       These operators work only on VDEF statements. Note that currently ONLY these work for VDEF.

       MAXIMUM, MINIMUM, AVERAGE
           Return the corresponding value, MAXIMUM and MINIMUM also return the first occurrence of that value in
           the time component.

           Example: "VDEF:avg=mydata,AVERAGE"

       STDEV
           Returns the standard deviation of the values.

           Example: "VDEF:stdev=mydata,STDEV"

       LAST, FIRST
           Return  the  last/first  non-nan  or  infinite  value  for  the  selected  data stream, including its
           timestamp.

           Example: "VDEF:first=mydata,FIRST"

       TOTAL
           Returns the rate from each defined time slot multiplied with the step size.  This can, for  instance,
           return  total bytes transferred when you have logged bytes per second. The time component returns the
           number of seconds.

           Example: "VDEF:total=mydata,TOTAL"

       PERCENT, PERCENTNAN
           This should follow a DEF or CDEF vname. The vname is popped, another number  is  popped  which  is  a
           certain  percentage  (0..100). The data set is then sorted and the value returned is chosen such that
           percentage percent of the values is lower or equal than the result.  For  PERCENTNAN  Unknown  values
           are  ignored,  but  for  PERCENT  Unknown values are considered lower than any finite number for this
           purpose so if this operator returns an unknown you have quite a lot of them in your  data.   Infinite
           numbers  are  lesser,  or more, than the finite numbers and are always more than the Unknown numbers.
           (NaN < -INF < finite values < INF)

           Example: "VDEF:perc95=mydata,95,PERCENT"
                    "VDEF:percnan95=mydata,95,PERCENTNAN"

       LSLSLOPE, LSLINT, LSLCORREL
           Return the parameters for a Least Squares Line (y = mx +b) which approximate  the  provided  dataset.
           LSLSLOPE  is  the  slope  (m)  of  the line related to the COUNT position of the data.  LSLINT is the
           y-intercept (b), which happens also to be the first  data  point  on  the  graph.  LSLCORREL  is  the
           Correlation  Coefficient  (also  know  as Pearson's Product Moment Correlation Coefficient).  It will
           range from 0 to +/-1 and represents the quality of fit for the approximation.

           Example: "VDEF:slope=mydata,LSLSLOPE"

SEE ALSO

       rrdgraph gives an overview of how rrdtool graph works.  rrdgraph_data  describes  DEF,CDEF  and  VDEF  in
       detail.   rrdgraph_rpn  describes  the  RPN  language  used  in the ?DEF statements.  rrdgraph_graph page
       describes all of the graph and print functions.

       Make sure to read rrdgraph_examples for tips&tricks.

AUTHOR

       Program by Tobias Oetiker <tobi@oetiker.ch>

       This manual page by Alex van den Bogaerdt <alex@vandenbogaerdt.nl> with corrections and/or  additions  by
       several people

1.7.2                                              2024-03-31                                    RRDGRAPH_RPN(1)