Package com.google.monitoring.v3

Enum Aggregation.Reducer

  • All Implemented Interfaces:
    com.google.protobuf.Internal.EnumLite, com.google.protobuf.ProtocolMessageEnum, Serializable, Comparable<Aggregation.Reducer>
    Enclosing class:
    Aggregation
    public static enum Aggregation.Reducer
extends Enum<Aggregation.Reducer>
implements com.google.protobuf.ProtocolMessageEnum
     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 enum google.monitoring.v3.Aggregation.Reducer

    • Enum Constant Summary

      Enum Constants 
      Enum Constant Description
      REDUCE_COUNT
      Reduce by computing the number of data points across time series for each alignment period.
      REDUCE_COUNT_FALSE
      Reduce by computing the number of `False`-valued data points across time series for each alignment period.
      REDUCE_COUNT_TRUE
      Reduce by computing the number of `True`-valued data points across time series for each alignment period.
      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.
      REDUCE_MAX
      Reduce by computing the maximum value across time series for each alignment period.
      REDUCE_MEAN
      Reduce by computing the mean value across time series for each alignment period.
      REDUCE_MIN
      Reduce by computing the minimum value across time series for each alignment period.
      REDUCE_NONE
      No cross-time series reduction.
      REDUCE_PERCENTILE_05
      Reduce by computing the [5th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      REDUCE_PERCENTILE_50
      Reduce by computing the [50th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      REDUCE_PERCENTILE_95
      Reduce by computing the [95th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      REDUCE_PERCENTILE_99
      Reduce by computing the [99th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      REDUCE_STDDEV
      Reduce by computing the standard deviation across time series for each alignment period.
      REDUCE_SUM
      Reduce by computing the sum across time series for each alignment period.
      UNRECOGNIZED  

    • Field Summary

      Fields 
      Modifier and Type Field Description
      static int REDUCE_COUNT_FALSE_VALUE
      Reduce by computing the number of `False`-valued data points across time series for each alignment period.
      static int REDUCE_COUNT_TRUE_VALUE
      Reduce by computing the number of `True`-valued data points across time series for each alignment period.
      static int REDUCE_COUNT_VALUE
      Reduce by computing the number of data points across time series for each alignment period.
      static int REDUCE_FRACTION_TRUE_VALUE
      Reduce by computing the ratio of the number of `True`-valued data points to the total number of data points for each alignment period.
      static int REDUCE_MAX_VALUE
      Reduce by computing the maximum value across time series for each alignment period.
      static int REDUCE_MEAN_VALUE
      Reduce by computing the mean value across time series for each alignment period.
      static int REDUCE_MIN_VALUE
      Reduce by computing the minimum value across time series for each alignment period.
      static int REDUCE_NONE_VALUE
      No cross-time series reduction.
      static int REDUCE_PERCENTILE_05_VALUE
      Reduce by computing the [5th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      static int REDUCE_PERCENTILE_50_VALUE
      Reduce by computing the [50th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      static int REDUCE_PERCENTILE_95_VALUE
      Reduce by computing the [95th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      static int REDUCE_PERCENTILE_99_VALUE
      Reduce by computing the [99th percentile](https://en.wikipedia.org/wiki/Percentile) of data points across time series for each alignment period.
      static int REDUCE_STDDEV_VALUE
      Reduce by computing the standard deviation across time series for each alignment period.
      static int REDUCE_SUM_VALUE
      Reduce by computing the sum across time series for each alignment period.

    • Enum Constant Detail

      • REDUCE_NONE

        public static final Aggregation.Reducer REDUCE_NONE
         No cross-time series reduction. The output of the `Aligner` is
 returned.
        REDUCE_NONE = 0;

      • REDUCE_MEAN

        public static final Aggregation.Reducer 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_MEAN = 1;

      • REDUCE_MIN

        public static final Aggregation.Reducer 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_MIN = 2;

      • REDUCE_MAX

        public static final Aggregation.Reducer 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_MAX = 3;

      • REDUCE_SUM

        public static final Aggregation.Reducer 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_SUM = 4;

      • REDUCE_STDDEV

        public static final Aggregation.Reducer 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_STDDEV = 5;

      • REDUCE_COUNT

        public static final Aggregation.Reducer 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 = 6;

      • REDUCE_COUNT_TRUE

        public static final Aggregation.Reducer 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_TRUE = 7;

      • REDUCE_COUNT_FALSE

        public static final Aggregation.Reducer 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_COUNT_FALSE = 15;

      • REDUCE_FRACTION_TRUE

        public static final Aggregation.Reducer 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_FRACTION_TRUE = 8;

      • REDUCE_PERCENTILE_99

        public static final Aggregation.Reducer REDUCE_PERCENTILE_99
         Reduce by computing the [99th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_99 = 9;

      • REDUCE_PERCENTILE_95

        public static final Aggregation.Reducer REDUCE_PERCENTILE_95
         Reduce by computing the [95th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_95 = 10;

      • REDUCE_PERCENTILE_50

        public static final Aggregation.Reducer REDUCE_PERCENTILE_50
         Reduce by computing the [50th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_50 = 11;

      • REDUCE_PERCENTILE_05

        public static final Aggregation.Reducer REDUCE_PERCENTILE_05
         Reduce by computing the [5th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_05 = 12;

    • Field Detail

      • REDUCE_NONE_VALUE

        public static final int REDUCE_NONE_VALUE
         No cross-time series reduction. The output of the `Aligner` is
 returned.
        REDUCE_NONE = 0;
        See Also:
        Constant Field Values

      • REDUCE_MEAN_VALUE

        public static final int REDUCE_MEAN_VALUE
         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_MEAN = 1;
        See Also:
        Constant Field Values

      • REDUCE_MIN_VALUE

        public static final int REDUCE_MIN_VALUE
         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_MIN = 2;
        See Also:
        Constant Field Values

      • REDUCE_MAX_VALUE

        public static final int REDUCE_MAX_VALUE
         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_MAX = 3;
        See Also:
        Constant Field Values

      • REDUCE_SUM_VALUE

        public static final int REDUCE_SUM_VALUE
         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_SUM = 4;
        See Also:
        Constant Field Values

      • REDUCE_STDDEV_VALUE

        public static final int REDUCE_STDDEV_VALUE
         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_STDDEV = 5;
        See Also:
        Constant Field Values

      • REDUCE_COUNT_VALUE

        public static final int REDUCE_COUNT_VALUE
         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 = 6;
        See Also:
        Constant Field Values

      • REDUCE_COUNT_TRUE_VALUE

        public static final int REDUCE_COUNT_TRUE_VALUE
         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_TRUE = 7;
        See Also:
        Constant Field Values

      • REDUCE_COUNT_FALSE_VALUE

        public static final int REDUCE_COUNT_FALSE_VALUE
         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_COUNT_FALSE = 15;
        See Also:
        Constant Field Values

      • REDUCE_FRACTION_TRUE_VALUE

        public static final int REDUCE_FRACTION_TRUE_VALUE
         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_FRACTION_TRUE = 8;
        See Also:
        Constant Field Values

      • REDUCE_PERCENTILE_99_VALUE

        public static final int REDUCE_PERCENTILE_99_VALUE
         Reduce by computing the [99th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_99 = 9;
        See Also:
        Constant Field Values

      • REDUCE_PERCENTILE_95_VALUE

        public static final int REDUCE_PERCENTILE_95_VALUE
         Reduce by computing the [95th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_95 = 10;
        See Also:
        Constant Field Values

      • REDUCE_PERCENTILE_50_VALUE

        public static final int REDUCE_PERCENTILE_50_VALUE
         Reduce by computing the [50th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_50 = 11;
        See Also:
        Constant Field Values

      • REDUCE_PERCENTILE_05_VALUE

        public static final int REDUCE_PERCENTILE_05_VALUE
         Reduce by computing the [5th
 percentile](https://en.wikipedia.org/wiki/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`.
        REDUCE_PERCENTILE_05 = 12;
        See Also:
        Constant Field Values

    • Method Detail

      • values

        public static Aggregation.Reducer[] values()
        Returns an array containing the constants of this enum type, in the order they are declared. This method may be used to iterate over the constants as follows: 
        for (Aggregation.Reducer c : Aggregation.Reducer.values())
    System.out.println(c);
        Returns:
        an array containing the constants of this enum type, in the order they are declared

      • valueOf

        public static Aggregation.Reducer valueOf​(String name)
        Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
        Parameters:
        name - the name of the enum constant to be returned.
        Returns:
        the enum constant with the specified name
        Throws:
        IllegalArgumentException - if this enum type has no constant with the specified name
        NullPointerException - if the argument is null

      • getNumber

        public final int getNumber()
        Specified by:
        getNumber in interface com.google.protobuf.Internal.EnumLite
        Specified by:
        getNumber in interface com.google.protobuf.ProtocolMessageEnum

      • valueOf

        @Deprecated
public static Aggregation.Reducer valueOf​(int value)
        Deprecated.
        Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
        Parameters:
        value - the name of the enum constant to be returned.
        Returns:
        the enum constant with the specified name
        Throws:
        IllegalArgumentException - if this enum type has no constant with the specified name
        NullPointerException - if the argument is null

      • forNumber

        public static Aggregation.Reducer forNumber​(int value)
        Parameters:
        value - The numeric wire value of the corresponding enum entry.
        Returns:
        The enum associated with the given numeric wire value.

      • internalGetValueMap

        public static com.google.protobuf.Internal.EnumLiteMap<Aggregation.Reducer> internalGetValueMap()

      • getValueDescriptor

        public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor()
        Specified by:
        getValueDescriptor in interface com.google.protobuf.ProtocolMessageEnum

      • getDescriptorForType

        public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.ProtocolMessageEnum

      • getDescriptor

        public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor()

      • valueOf

        public static Aggregation.Reducer valueOf​(com.google.protobuf.Descriptors.EnumValueDescriptor desc)
        Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
        Parameters:
        desc - the name of the enum constant to be returned.
        Returns:
        the enum constant with the specified name
        Throws:
        IllegalArgumentException - if this enum type has no constant with the specified name
        NullPointerException - if the argument is null