Stackdriver Monitoring V3 Client - Class Reducer (1.9.0)

Version 1.9.0

• 1.10.3 (latest)
• 1.10.2
• 1.9.0
• 1.8.0
• 1.7.1
• 1.6.0
• 1.5.1
• 1.4.0
• 1.3.2
• 1.2.2

Reference documentation and code samples for the Stackdriver Monitoring V3 Client class Reducer.

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.

Protobuf type google.monitoring.v3.Aggregation.Reducer

Namespace

Google \ Cloud \ Monitoring \ V3 \ Aggregation

Methods

static::name

Parameter
Name	Description
value	mixed

static::value

Parameter
Name	Description
name	mixed

Constants

REDUCE_NONE

Value: 0

No cross-time series reduction. The output of the Aligner is returned.

Generated from protobuf enum REDUCE_NONE = 0;

REDUCE_MEAN

Value: 1

Reduce by computing the mean value 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.

Generated from protobuf enum REDUCE_MEAN = 1;

REDUCE_MIN

Value: 2

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.

Generated from protobuf enum REDUCE_MIN = 2;

REDUCE_MAX

Value: 3

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.

Generated from protobuf enum REDUCE_MAX = 3;

REDUCE_SUM

Value: 4

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.

Generated from protobuf enum REDUCE_SUM = 4;

REDUCE_STDDEV

Value: 5

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.

Generated from protobuf enum REDUCE_STDDEV = 5;

REDUCE_COUNT

Value: 6

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.

Generated from protobuf enum REDUCE_COUNT = 6;

REDUCE_COUNT_TRUE

Value: 7

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.

Generated from protobuf enum REDUCE_COUNT_TRUE = 7;

REDUCE_COUNT_FALSE

Value: 15

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.

Generated from protobuf enum REDUCE_COUNT_FALSE = 15;

REDUCE_FRACTION_TRUE

Value: 8

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.

Generated from protobuf enum REDUCE_FRACTION_TRUE = 8;

REDUCE_PERCENTILE_99

Value: 9

Reduce by computing the 99th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

Generated from protobuf enum REDUCE_PERCENTILE_99 = 9;

REDUCE_PERCENTILE_95

Value: 10

Reduce by computing the 95th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

Generated from protobuf enum REDUCE_PERCENTILE_95 = 10;

REDUCE_PERCENTILE_50

Value: 11

Reduce by computing the 50th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

Generated from protobuf enum REDUCE_PERCENTILE_50 = 11;

REDUCE_PERCENTILE_05

Value: 12

Reduce by computing the 5th percentile of data points across time series for each alignment period. This reducer is valid for GAUGE and DELTA metrics of numeric and distribution type. The value of the output is DOUBLE.

Generated from protobuf enum REDUCE_PERCENTILE_05 = 12;