1 Összesített függvények

Hacsak másképp nem jelezzük, az itt felsorolt összes funkció támogatott ban ben:

Az összesített függvények a következők bármelyikével működhetnek:

  • elemek előzményei, például min(/host/key,1h)
  • foreach functions mint az egyetlen paraméter, például min(last_foreach(/*/key))

Néhány általános megjegyzés a funkcióparaméterekkel kapcsolatban:

  • A funkció paramétereit vessző választja el
  • Az opcionális funkcióparamétereket (vagy paraméterrészeket) a jelzi < >
  • A funkcióspecifikus paraméterek leírása minden funkcióhoz tartozik
  • A /host/key és a (sec|#num)<:time shift> paraméterek soha nem lehetnek idézett
Általános paraméterek
  • A /host/key a függvények általános kötelező első paramétere hivatkozva a gazdagép elem előzményeire
  • A (sec|#num)<:time shift> egy gyakori második paraméter a a gazdagép elem történetére hivatkozó függvények, ahol:
    • mp - maximum értékelés időszak másodpercben (idő utótagok használhatók), ill
    • #szám - maximum értékelés range a legfrissebb összegyűjtött értékek (ha hash jel előzi meg)
    • time shift (opcionális) lehetővé teszi az értékelési pont mozgatását vissza az időben. Többet látni részletek](/manual/config/triggers/expression#time_shift) bekapcsolva időeltolás megadása.

Function details

Some general notes on function parameters:

  • Function parameters are separated by a comma
  • Optional function parameters (or parameter parts) are indicated by < >
  • Function-specific parameters are described with each function
  • /host/key and (sec|#num)<:time shift> parameters must never be quoted
avg(/host/key,(sec|#num)<:time shift>)

The average value of an item within the defined evaluation period.
Supported value types: Float, Integer.

Parameters: see common parameters.

Time shift is useful when there is a need to compare the current average value with the average value some time ago.

Examples:

avg(/host/key,1h) #the average value for the last hour until now
avg(/host/key,1h:now-1d) #the average value for an hour from 25 hours ago to 24 hours ago from now
avg(/host/key,#5) #the average value of the five latest values
avg(/host/key,#5:now-1d) #the average value of the five latest values excluding the values received in the last 24 hours
bucket_percentile(item filter,time period,percentage)

Calculates the percentile from the buckets of a histogram.

Parameters:

Comments:

  • Supported only in calculated items;
  • This function is an alias for histogram_quantile(percentage/100, bucket_rate_foreach(item filter, time period, 1)).
count(func_foreach(item filter,<time period>))

The count of values in an array returned by a foreach function.
Supported value type: Integer.

Parameters:

  • func_foreach - foreach function for which the number of returned values should be counted (with supported arguments). See foreach functions for details.
  • item filter - see item filter;
  • time period - see time period.

Using count() with a history-related foreach function (max_foreach, avg_foreach, etc.) may lead to performance implications, whereas using exists_foreach(), which works only with configuration data, will not have such effect.

Examples:

count(max_foreach(/*/net.if.in[*],1h)) #the number of net.if.in items that received data in the last hour until now
histogram_quantile(quantile,bucket1,value1,bucket2,value2,...)

Calculates the φ-quantile from the buckets of a histogram.

Parameters:

  • quantile - 0 ≤ φ ≤ 1;
  • bucketN, valueN - manually entered pairs (>=2) of parameters or the response of bucket_rate_foreach.

Comments:

  • Supported only in calculated items;
  • Functionally corresponds to 'histogram_quantile' of PromQL;
  • Returns -1 if values of the last 'Infinity' bucket ("+inf") are equal to 0.

Examples:

histogram_quantile(0.75,1.0,last(/host/rate_bucket[1.0]),"+Inf",last(/host/rate_bucket[Inf]))
histogram_quantile(0.5,bucket_rate_foreach(//item_key,30s))
item.count(item filter)

The count of existing items in configuration that match the filter criteria.
Supported value type: Integer.

Parameter:

  • item filter - criteria for item selection, allows referencing by host group, host, item key, and tags. Wildcards are supported. See item filter for more details.

Comments:

  • Supported only in calculated items;
  • Works as an alias for the count(exists_foreach(item_filter)) function.

Examples:

item_count(/*/agent.ping?[group="Host group 1"]) #the number of hosts with the *agent.ping* item in the "Host group 1"
kurtosis(/host/key,(sec|#num)<:time shift>)

The "tailedness" of the probability distribution in collected values within the defined evaluation period. See also: Kurtosis.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

kurtosis(/host/key,1h) #kurtosis for the last hour until now
mad(/host/key,(sec|#num)<:time shift>)

The median absolute deviation in collected values within the defined evaluation period. See also: Median absolute deviation.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

mad(/host/key,1h) #median absolute deviation for the last hour until now
max(/host/key,(sec|#num)<:time shift>)

The highest value of an item within the defined evaluation period.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

max(/host/key,1h) - min(/host/key,1h) #calculate the difference between the maximum and minimum values within the last hour until now (the delta of values)
min(/host/key,(sec|#num)<:time shift>)

The lowest value of an item within the defined evaluation period.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

max(/host/key,1h) - min(/host/key,1h) #calculate the difference between the maximum and minimum values within the last hour until now (the delta of values)
skewness(/host/key,(sec|#num)<:time shift>)

The asymmetry of the probability distribution in collected values within the defined evaluation period. See also: Skewness.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

skewness(/host/key,1h) #the skewness for the last hour until now
stddevpop(/host/key,(sec|#num)<:time shift>)

The population standard deviation in collected values within the defined evaluation period. See also: Standard deviation.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

stddevpop(/host/key,1h) #the population standard deviation for the last hour until now
stddevsamp(/host/key,(sec|#num)<:time shift>)

The sample standard deviation in collected values within the defined evaluation period. See also: Standard deviation.
Supported value types: Float, Integer.

Parameters: see common parameters.

At least two data values are required for this function to work.

Example:

stddevsamp(/host/key,1h) #the sample standard deviation for the last hour until now
sum(/host/key,(sec|#num)<:time shift>)

The sum of collected values within the defined evaluation period.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

sum(/host/key,1h) #the sum of values for the last hour until [now
sumofsquares(/host/key,(sec|#num)<:time shift>)

The sum of squares in collected values within the defined evaluation period.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

sumofsquares(/host/key,1h) #the sum of squares for the last hour until [now
varpop(/host/key,(sec|#num)<:time shift>)

The population variance of collected values within the defined evaluation period. See also: Variance.
Supported value types: Float, Integer.

Parameters: see common parameters.

Example:

varpop(/host/key,1h) #the population variance for the last hour until now
varsamp(/host/key,(sec|#num)<:time shift>)

The sample variance of collected values within the defined evaluation period. See also: Variance.
Supported value types: Float, Integer.

Parameters: see common parameters.

At least two data values are required for this function to work.

Example:

varsamp(/host/key,1h) #the sample variance for the last hour until now

See all supported functions.