perSeriesAligner

@JvmName(name = "cctmnyodrakshnou")
suspend fun perSeriesAligner(value: Output<AggregationPerSeriesAligner>)
@JvmName(name = "gygrvabewlbobstp")
suspend fun perSeriesAligner(value: AggregationPerSeriesAligner?)

Parameters

value

An Aligner describes how to bring the data points in a single time series into temporal alignment. Except for ALIGN_NONE, all alignments cause all the data points in an alignment_period to be mathematically grouped together, resulting in a single data point for each alignment_period with end timestamp at the end of the period.Not all alignment operations may be applied to all time series. The valid choices depend on the metric_kind and value_type of the original time series. Alignment can change the metric_kind or the value_type of the time series.Time series data must be aligned in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified and not equal to ALIGN_NONE and alignment_period must be specified; otherwise, an error is returned.