When matching against the sample data in the table below, the highlighted time series would be
included in the aggregate result:
Name
nf.app
nf.node
Data
ssCpuUser
alerttest
i-0123
[1.0, 2.0, NaN]
ssCpuSystem
alerttest
i-0123
[3.0, 4.0, 5.0]
ssCpuUser
nccp
i-0abc
[8.0, 7.0, 6.0]
ssCpuSystem
nccp
i-0abc
[6.0, 7.0, 8.0]
numRequests
nccp
i-0abc
[1.0, 2.0, 4.0]
ssCpuUser
api
i-0456
[1.0, 2.0, 2.0]
The values from the corresponding intervals will be aggregated. For the first interval using
the sample data above the values are 1.0, 8.0, and 1.0. Each value other than NaN
contributes one to the max. This leads to a final result of:
Name
Data
ssCpuUser
[8.0, 7.0, 6.0]
The only tags for the aggregated result are those that are matched exactly (:eq clause)
as part of the choosing criteria or are included in a group by.
Select the maximum value for corresponding times across the time series resulting from the
input expression. This is typically used when there is a need to use some other aggregation
for the grouping. Example:
