This function is considered experimental and under active development and should not be used in production.

The function must be enabled using the feature flag ArrayFunctions. See Enabling/Disabling Features.

Computes an aggregate value for each array element with the same index.

If, for example, all events contain arrays with the time taken for 3 different tasks,

array:reduceColumn(times, var=x,function=[avg(x), max(x)])

will compute the maximum and average time for each task.

If function is an aggregator that produces more than one event, such as groupBy, the output of array:reduceColumn will contain the same number of events as the maximum number of events produced in a column. The n'th event will contain an array with the values from the n'th event in all columns having an n'th event. This can lead to unreliable ordering of the output if the internal aggregate does not output ordered events (such as groupBy).

arraystringtrue The prefix of the array in Humio, for example for events with fields 'incidents[0], incidents[1], ...' this would be 'incidents'. [a]
asstringfalse Name of the output array.
functionstringtrue Aggregate function to use (for example max()).
varstringtrue Placeholder field name to use for array element to use in aggregate function.

[a] When you provide only one parameter, the implied parameter is array


Find the maximum time for each place in the array. Given two events with arrays:

times=[1, 2, 3]

With the function:

maxTimes := array:reduceColumn(times, var=x, function={time := max(x)})

The result would be:

maxTimes[0].time = 5
maxTimes[1].time = 2