OPAL Numeric Functions

Numeric functions act on and/or produce numeric values, for your mathematical calculation needs.

Function	Description
abs	Returns the absolute value of ‘val’.
ceil	Returns ‘val’ rounded up to the given ‘precision’.
count	Count the number of non-null items in the group.
delta	Calculates the value difference of the argument in each time bin for each group.
delta_monotonic	Calculates the amount of difference in a column in each time bin for each group.
dense_rank	Returns the dense rank within an ordered group of values.
exp	Returns Euler’s number e raised to the given number.
float64_null	Returns a null value of type float64.
floor	Returns ‘val’ rounded down to the given ‘precision’.
haversine_distance_km	Computes the great circle approximate distance between two latitude/longitude coordinates, using the haversine formula.
int64_null	Returns a null value of type int64.
int_div	Returns the integer quotient of the dividend divided by the divisor and truncates the remainder.
ln	Returns natural logarithm of a numeric expression.
log	Returns logarithm of a numeric expression (second argument) with the provided base (first argument).
mod	Returns the remainder when dividend is divided by the divisor.
numeric_null	Returns a null value of type numeric.
percentile_disc	Assuming a discrete distribution, return the value for the specified percentile of the input expression across the group.
pow	Returns a number ‘base’ raised to the specified power ‘exponent’.
prom_quantile	Calculates an approximate percentile value of the distribution in a histogram metric generated by a Prometheus data source.
rank	Returns the rank within an ordered group of values.
round	Returns ‘val’ rounded to the given ‘precision’.
row_number	Return the window index of the row within its groupby, when ordered by the orderby.
sqrt	Returns the square root for a given input and null if input is negative.
uniform	Generates a uniformly-distributed pseudo-random number in the inclusive range [min, max].
width_bucket	Construct equi-width histogram by dividing up the range between min and max with num_buckets buckets, and compute an integer
zipf	Returns a Zipf-distributed integer, for N elements and characteristic exponent s.