Class Reducer (2.15.3)

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Reducer(value)

A Reducer operation describes how to aggregate data points from multiple 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.

Enums
Name	Description
REDUCE_NONE	No cross-time series reduction. The output of the `Aligner` is returned.
REDUCE_MEAN	Reduce by computing the mean value across time series for each alignment period. This reducer is valid for `DELTA][google.api.MetricDescriptor.MetricKind.DELTA]` and `GAUGE][google.api.MetricDescriptor.MetricKind.GAUGE]` metrics with numeric or distribution values. The `value_type` of the output is `DOUBLE][google.api.MetricDescriptor.ValueType.DOUBLE]`.
REDUCE_MIN	Reduce by computing the minimum value across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics with numeric values. The `value_type` of the output is the same as the `value_type` of the input.
REDUCE_MAX	Reduce by computing the maximum value across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics with numeric values. The `value_type` of the output is the same as the `value_type` of the input.
REDUCE_SUM	Reduce by computing the sum across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics with numeric and distribution values. The `value_type` of the output is the same as the `value_type` of the input.
REDUCE_STDDEV	Reduce by computing the standard deviation across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics with numeric or distribution values. The `value_type` of the output is `DOUBLE`.
REDUCE_COUNT	Reduce by computing the number of data points across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics of numeric, Boolean, distribution, and string `value_type`. The `value_type` of the output is `INT64`.
REDUCE_COUNT_TRUE	Reduce by computing the number of `True`-valued data points across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics of Boolean `value_type`. The `value_type` of the output is `INT64`.
REDUCE_COUNT_FALSE	Reduce by computing the number of `False`-valued data points across time series for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics of Boolean `value_type`. The `value_type` of the output is `INT64`.
REDUCE_FRACTION_TRUE	Reduce by computing the ratio of the number of `True`-valued data points to the total number of data points for each alignment period. This reducer is valid for `DELTA` and `GAUGE` metrics of Boolean `value_type`. The output value is in the range [0.0, 1.0] and has `value_type` `DOUBLE`.
REDUCE_PERCENTILE_99	Reduce by computing the `99th percentile
REDUCE_PERCENTILE_95	Reduce by computing the `95th percentile
REDUCE_PERCENTILE_50	Reduce by computing the `50th percentile
REDUCE_PERCENTILE_05	Reduce by computing the `5th percentile