Functions

An up to date list of functuions can always be viewed from the DalmatinerFE UI.

Aggregates

Functions	description	Help
avg	avg(metric, time) -> metric	Calculates the average over a given period of time.
count_above	count_above(metric, float, time) -> metric	Returns the count of value above a given threshold.
count_above	count_above(metric, integer, time) -> metric	Returns the count of value above a given threshold.
count_above_conf	count_above_conf(metric, integer, time) -> metric	Returns the count of value above a given confidence threshold.
count_above_conf	count_above_conf(metric, float, time) -> metric	Returns the count of value above a given confidence threshold.
count_below	count_below(metric, integer, time) -> metric	Returns the count of value below a given threshold.
count_below	count_below(metric, float, time) -> metric	Returns the count of value below a given threshold.
count_below_conf	count_below_conf(metric, float, time) -> metric	Returns the count of value below a given confidence threshold.
count_below_conf	count_below_conf(metric, integer, time) -> metric	Returns the count of value below a given confidence threshold.
first_above	first_above(metric, integer, time) -> metric	Returns the fist value above a given threshold.
first_above	first_above(metric, float, time) -> metric	Returns the fist value above a given threshold.
first_above_conf	first_above_conf(metric, integer, time) -> metric	Returns the first value above a given confidence threshold.
first_above_conf	first_above_conf(metric, float, time) -> metric	Returns the first value above a given confidence threshold.
first_below	first_below(metric, integer, time) -> metric	Returns the fist value below a given threshold.
first_below	first_below(metric, float, time) -> metric	Returns the fist value below a given threshold.
first_below_conf	first_below_conf(metric, float, time) -> metric	Returns the first value below a given confidence threshold.
first_below_conf	first_below_conf(metric, integer, time) -> metric	Returns the first value below a given confidence threshold.
last_above	last_above(metric, float, time) -> metric	Returns the last value above a given threshold.
last_above	last_above(metric, integer, time) -> metric	Returns the last value above a given threshold.
last_above_conf	last_above_conf(metric, float, time) -> metric	Returns the last value above a given confidence threshold.
last_above_conf	last_above_conf(metric, integer, time) -> metric	Returns the last value above a given confidence threshold.
last_below	last_below(metric, integer, time) -> metric	Returns the last value below a given threshold.
last_below	last_below(metric, float, time) -> metric	Returns the last value below a given threshold.
last_below_conf	last_below_conf(metric, integer, time) -> metric	Returns the last value below a given confidence threshold.
last_below_conf	last_below_conf(metric, float, time) -> metric	Returns the last value below a given confidence threshold.
max	max(metric, time) -> metric	Calculates the maximum value of a series over a given period of time
median	median(metric, time) -> metric	Calculates the median over a given period of time.
min	min(metric, time) -> metric	Calculates the minimum value of a series over a given period of time
percentile	percentile(metric, float, time) -> metric	Calculates a percentile over a given period of time.
stddev	stddev(metric, time) -> metric	Calculates the standard derivation over a given period of time.
sum	sum(metric, time) -> metric	Calculates the sum of all value of a series over a given period of time
variance	variance(metric, time) -> metric	Calculates the variance over a given period of time.

Transformations

Functions	description	Help
abs	abs(metric) -> metric	Calculates the absolute of each element.
add	add(metric, float) -> metric	Adds a constant to each element of the series. This is equivalent to the infix opperator + when the right argument is a number.
add	add(metric, integer) -> metric	Adds a constant to each element of the series. This is equivalent to the infix opperator + when the right argument is a number.
confidence	confidence(metric) -> metric	Converts the metric from the value at a given time into the confidence at a given time. This can be either applied to raw serieses or aggregates. The return value is a float between 0 and 1.
derivate	derivate(metric) -> metric	Calculates the derivate of a series so that v(t) = v(t - 1) - v(t). As this loses one element of the series the first element v(0) and v(1) are always equal.
divide	divide(metric, integer) -> metric	Divides each element of the series with a constant. This is equivalent to the infix opperator / when the right argument is a number.
divide	divide(metric, float) -> metric	Divides each element of the series with a constant. This is equivalent to the infix opperator / when the right argument is a number.
log10_scale	log10_scale(metric) -> metric	Calculates the log10 of each element. For convinience: log10_scale(0) = 0, log10_scale(-N) = - log10_scale(N).
max	max(metric, float) -> metric	Returns the maximun of each value or a given constant.
min	min(metric, float) -> metric	Returns the minimun of each value or a given constant.
mul	mul(metric, float) -> metric	Multiplies each element of the series with a constant. This is equivalent to the infix opperator * when the right argument is a number.
mul	mul(metric, integer) -> metric	Multiplies each element of the series with a constant. This is equivalent to the infix opperator * when the right argument is a number.
sqrt_scale	sqrt_scale(metric) -> metric	Calculates the square root of each element. For convinience: sqrt_scale(0) = 0, sqrt_scale(-N) = - sqrt_scale(N).
sub	sub(metric, float) -> metric	Subtracts a constant from each element of the series. This is equivalent to the infix opperator - when the right argument is a number.
sub	sub(metric, integer) -> metric	Subtracts a constant from each element of the series. This is equivalent to the infix opperator - when the right argument is a number.

Histogram

Functions	description	Help
histogram	histogram(metric, integer, integer, time) -> histogram	Converts measurement points of a timerange into a histogram. The arguments are a metric, the highest trackable value, and the significant figures (1..5).
max	max(histogram) -> metric	Calculates the maximum value for a histogram.
mean	mean(histogram) -> metric	Calculates the mean value for a histogram.
median	median(histogram) -> metric	Calculates the median value for a histogram.
min	min(histogram) -> metric	Calculates the minimum value for a histogram.
percentile	percentile(histogram, float) -> metric	Calculates the percentile value for a histogram.
stddev	stddev(histogram) -> metric	Calculates the standard derivation for a histogram.

Combinators

Functions	description	Help
avg	avg(metric*) -> metric	Combines multiple series into one by calculating the average of the values for each time offset.
diff	diff(metric*) -> metric	Combines multiple series into one by substracting the values for each time offset together.
max	max(metric*) -> metric	Combines multiple series into one by picking the largest value of each time offset.
product	product(metric*) -> metric	Combines producttiple series into one by multiplying the values with each time offset.
quotient	quotient(metric*) -> metric	Combines quotienttiple series into one by deviding the values with each time offset. It should be noted that a division by zero is treated as a devision by one.
sum	sum(metric*) -> metric	Combines multiple series into one by adding the values for each time offset together.