count

Count aggregation operator. There are two variants of the :count operator.

Aggregation

Input Stack: Query

⇨

Output Stack: AggregationFunction

Compute the number of time series that match the query and have a value for a given interval.

name,ssCpuUser,:eq,
:count

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 count. This leads to a final result of:

Name	Data
ssCpuUser	[3.0, 3.0, 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

Compute the number of time series from the input expression and have a value for a given interval. Example:

Before	After
name,sps,:eq, (,nf.cluster,),:by	name,sps,:eq, (,nf.cluster,),:by, :count