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min

Min aggregation operator. There are two variants of the :min operator.

Aggregation

Input Stack:
Query
Output Stack:
AggregationFunction

Select the minimum value for corresponding times across all matching time series.

name,ssCpuUser,:eq,
:min

When matching against the sample data in the table below, the highlighted time series would be included in the aggregate result:

Namenf.appnf.nodeData
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:

NameData
ssCpuUser [1.0, 2.0, 2.0]

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.

Math

Input Stack:
TimeSeriesExpr
Output Stack:
TimeSeriesExpr

Select the minimum 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:

BeforeAfter
name,sps,:eq,
:sum,
(,nf.cluster,),:by
name,sps,:eq,
:sum,
(,nf.cluster,),:by,
:min