rrdgraph_rpn (1)
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NAME
rrdgraph_rpn - About RPN Math in rrdtool graphSYNOPSIS
DESCRIPTION
If you have ever used a traditionalAt 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
Example: "VDEF:maximum=mydata,MAXIMUM"
This will set variable ``maximum'' which you now can use in the rest of your
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
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
IFcall.UN, ISINFPop one element from the stack, compare this to unknown respectively to positive or negative infinity. Returns 1 for true or 0 for false.
IFPops 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, MAXNANNAN-safe version of
MINandMAX.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.LIMITPops 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
ADDNANNAN-safe addition. If one parameter is
NAN/UNKNOWNit'll be treated as zero. If both parameters areNAN/UNKNOWN, NAN/UNKNOWNwill be returned.SIN, COS, LOG, EXP, SQRTSine and cosine (input in radians), log and exp (natural logarithm), square root.
ATANArctangent (output in radians).
ATAN2Arctangent 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, CEILRound down or up to the nearest integer.
DEG2RAD, RAD2DEGConvert angle in degrees to radians, or radians to degrees.
ABSTake the absolute value.
- Set Operations
-
SORT, REV
Pop one element from the stack. This is the count of items to be sorted (or reversed). The top count of the remaining elements are then sorted (or reversed) in place on the stack.
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.
AVGPop one element (count) from the stack. Now pop count elements and build the average, ignoring all
UNKNOWNvalues in the process.Example: "CDEF:x=a,b,c,d,4,AVG"
MEDIANpop one element (count) from the stack. Now pop count elements and find the median, ignoring all
UNKNOWNvalues 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"
TREND, TRENDNANCreate 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)
TRENDNANis - in contrast toTREND -NAN-safe. If you useTRENDand one source value isNANthe complete sliding window is affected. TheTRENDNANoperation ignores all NAN-values in a sliding window and computes the average of the remaining values.PREDICT, PREDICTSIGMA, PREDICTPERCCreate 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 whit 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 1800seconds. 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, NEGINFPushes 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.
PREVPushes an unknown value if this is the first value of a data set or otherwise the result of this
CDEFat the previous time step. This allows you to do calculations across the data. This function cannot be used inVDEFinstructions.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
VDEFinstructions.COUNTPushes 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
VDEFinstructions. - 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.
STEPWIDTHThe with of the current step in seconds. You can use this to go back from rate based presentations to absolute numbers
CDEF:abs=rate,STEPWIDTH,*,PREF,ADDNAN
NEWDAY,NEWWEEK,NEWMONTH,NEWYEARThese three operators will return 1.0 whenever a step is the first of the given periode. The periodes are determined according to the local timezone
ANDthe "LC_TIME" settings.CDEF:mtotal=rate,STEPWIDTH,*,NEWMONTH,PREV,0,IF,ADDNAN
TIMEPushes the time the currently processed value was taken at onto the stack.
LTIMETakes the time as defined by
TIME, applies the time zone offset valid at that time including daylight saving time if yourOSsupports 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.
DEPTHpushes the current depth of the stack onto the stack
a,b,DEPTH -> a,b,2
n,
COPYpush a copy of the top n elements onto the stack
a,b,c,d,2,COPY => a,b,c,d,c,d
n,
INDEXpush the nth element onto the stack.
a,b,c,d,3,INDEX -> a,b,c,d,b
n,m,
ROLLrotate 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- MAXIMUM, MINIMUM, AVERAGE
-
Return the corresponding value, MAXIMUMandMINIMUMalso 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 DEForCDEFvname. 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. ForPERCENTNANUnknown values are ignored, but forPERCENTUnknown 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. LSLSLOPEis the slope (m) of the line related to theCOUNTposition of the data.LSLINTis the y-intercept (b), which happens also to be the first data point on the graph.LSLCORRELis 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 describesMake 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