Package-level declarations
Types
The reduction operation to be used to combine time series into a single time series, where the value of each data point in the resulting series is a function of all the already aligned values in the input time series.Not all reducer operations can be applied to all time series. The valid choices depend on the metric_kind and the value_type of the original time series. Reduction can yield a time series with a different metric_kind or value_type than the input time series.Time series data must first be aligned (see per_series_aligner) in order to perform cross-time series reduction. If cross_series_reducer is specified, then per_series_aligner must be specified, and must not be ALIGN_NONE. An alignment_period must also be specified; otherwise, an error is returned.
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.
The axis scale. By default, a linear scale is used.
The chart mode.
The specified filter type
How this data should be plotted on the chart.
Optional. The target axis to use for plotting the metric.
How to use the ranking to select time series that pass through the filter.
ranking_method is applied to each time series independently to produce the value which will be used to compare the time series to other time series.
Required. The type of sparkchart to show in this chartView.
rankingMethod is applied to a set of time series, and then the produced value for each individual time series is used to compare a given time series to others. These are methods that cannot be applied stream-by-stream, but rather require the full context of a request to evaluate time series.
How the text content is formatted.
The state color for this threshold. Color is not allowed in a XyChart.
The direction for the current threshold. Direction is not allowed in a XyChart.
The target axis to use for plotting the threshold. Target axis is not allowed in a Scorecard.
Optional. Store rendering strategy