Aggregation functions
In metrics only, you can use the following functions that aggregate input values over each time interval and calculate a single output value. Aggregation functions can aggregate data from associated assets.
Aggregation function arguments can be variables, number literals,
temporal functions, nested
expressions, or aggregation functions. The formula max(latest(x), latest(y),
latest(z))
uses an aggregation function as an argument and returns the
largest current value of the x
, y
, and z
properties.
You can use nested expressions in aggregation functions. When you use nested expressions, the following rules apply:

Each argument can have only one variable.
For example,
avg(x*(x1))
andsum(x/2 )/avg(y^2 )
are supported.For example,
min(x/y)
isn't supported. 
Each argument can have multilevel nested expressions.
For example,
sum(avg(x^2 )/2)
is supported. 
Different arguments can have different variables.
For example,
sum(x/2, y*2)
is supported.
Note

If your expressions contain measurements, AWS IoT SiteWise uses the last values over the current time interval for the measurements to compute aggregates.

If your expressions contain attributes, AWS IoT SiteWise uses the latest values for the attributes to compute aggregates.
Function  Description 


Returns the mean of the given variables' values over the current time interval. This function outputs a data point only if the given variables have at least one data point over the current time interval. 

Returns the sum of the given variables' values over the current time interval. This function outputs a data point only if the given variables have at least one data point over the current time interval. 

Returns the minimum of the given variables' values over the current time interval. This function outputs a data point only if the given variables have at least one data point over the current time interval. 

Returns the maximum of the given variables' values over the current time interval. This function outputs a data point only if the given variables have at least one data point over the current time interval. 

Returns the total number of data points for the given variables over the current time interval. For more information about how to count the number of data points that meet a condition, see Counting data points that match a condition. This function computes a data point for every time interval. 

Returns the standard deviation of the given variables' values over the current time interval. This function outputs a data point only if the given variables have at least one data point over the current time interval. 