com.google.monitoring.v3

Enum Aggregation.Aligner

java.lang.Object

java.lang.Enum<Aggregation.Aligner>

com.google.monitoring.v3.Aggregation.Aligner

All Implemented Interfaces:

com.google.protobuf.Internal.EnumLite, com.google.protobuf.ProtocolMessageEnum, Serializable, Comparable<Aggregation.Aligner>

Enclosing class:

Aggregation

public static enum Aggregation.Aligner
extends Enum<Aggregation.Aligner>
implements com.google.protobuf.ProtocolMessageEnum

 The `Aligner` specifies the operation that will be applied to the data
 points in each alignment period in a time series. Except for
 `ALIGN_NONE`, which specifies that no operation be applied, each alignment
 operation replaces the set of data values in each alignment period with
 a single value: the result of applying the operation to the data values.
 An aligned time series has a single data value at the end of each
 `alignment_period`.

 An alignment operation can change the data type of the values, too. For
 example, if you apply a counting operation to boolean values, the data
 `value_type` in the original time series is `BOOLEAN`, but the `value_type`
 in the aligned result is `INT64`.
 

Protobuf enum google.monitoring.v3.Aggregation.Aligner

Enum Constant Summary

Enum Constants

Enum Constant and Description
ALIGN_COUNT Align the time series by returning the number of values in each alignment period.
ALIGN_COUNT_FALSE Align the time series by returning the number of `False` values in each alignment period.
ALIGN_COUNT_TRUE Align the time series by returning the number of `True` values in each alignment period.
ALIGN_DELTA Align and convert to [DELTA][google.api.MetricDescriptor.MetricKind.DELTA].
ALIGN_FRACTION_TRUE Align the time series by returning the ratio of the number of `True` values to the total number of values in each alignment period.
ALIGN_INTERPOLATE Align by interpolating between adjacent points around the alignment period boundary.
ALIGN_MAX Align the time series by returning the maximum value in each alignment period.
ALIGN_MEAN Align the time series by returning the mean value in each alignment period.
ALIGN_MIN Align the time series by returning the minimum value in each alignment period.
ALIGN_NEXT_OLDER Align by moving the most recent data point before the end of the alignment period to the boundary at the end of the alignment period.
ALIGN_NONE No alignment.
ALIGN_PERCENT_CHANGE Align and convert to a percentage change.
ALIGN_PERCENTILE_05 Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
ALIGN_PERCENTILE_50 Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
ALIGN_PERCENTILE_95 Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
ALIGN_PERCENTILE_99 Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
ALIGN_RATE Align and convert to a rate.
ALIGN_STDDEV Align the time series by returning the standard deviation of the values in each alignment period.
ALIGN_SUM Align the time series by returning the sum of the values in each alignment period.
UNRECOGNIZED

Field Summary

Fields

Modifier and Type	Field and Description
static int	ALIGN_COUNT_FALSE_VALUE Align the time series by returning the number of `False` values in each alignment period.
static int	ALIGN_COUNT_TRUE_VALUE Align the time series by returning the number of `True` values in each alignment period.
static int	ALIGN_COUNT_VALUE Align the time series by returning the number of values in each alignment period.
static int	ALIGN_DELTA_VALUE Align and convert to [DELTA][google.api.MetricDescriptor.MetricKind.DELTA].
static int	ALIGN_FRACTION_TRUE_VALUE Align the time series by returning the ratio of the number of `True` values to the total number of values in each alignment period.
static int	ALIGN_INTERPOLATE_VALUE Align by interpolating between adjacent points around the alignment period boundary.
static int	ALIGN_MAX_VALUE Align the time series by returning the maximum value in each alignment period.
static int	ALIGN_MEAN_VALUE Align the time series by returning the mean value in each alignment period.
static int	ALIGN_MIN_VALUE Align the time series by returning the minimum value in each alignment period.
static int	ALIGN_NEXT_OLDER_VALUE Align by moving the most recent data point before the end of the alignment period to the boundary at the end of the alignment period.
static int	ALIGN_NONE_VALUE No alignment.
static int	ALIGN_PERCENT_CHANGE_VALUE Align and convert to a percentage change.
static int	ALIGN_PERCENTILE_05_VALUE Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
static int	ALIGN_PERCENTILE_50_VALUE Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
static int	ALIGN_PERCENTILE_95_VALUE Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
static int	ALIGN_PERCENTILE_99_VALUE Align the time series by using [percentile aggregation](https://en.wikipedia.org/wiki/Percentile).
static int	ALIGN_RATE_VALUE Align and convert to a rate.
static int	ALIGN_STDDEV_VALUE Align the time series by returning the standard deviation of the values in each alignment period.
static int	ALIGN_SUM_VALUE Align the time series by returning the sum of the values in each alignment period.

Method Summary

Modifier and Type	Method and Description
static Aggregation.Aligner	forNumber(int value)
static com.google.protobuf.Descriptors.EnumDescriptor	getDescriptor()
com.google.protobuf.Descriptors.EnumDescriptor	getDescriptorForType()
int	getNumber()
com.google.protobuf.Descriptors.EnumValueDescriptor	getValueDescriptor()
static com.google.protobuf.Internal.EnumLiteMap<Aggregation.Aligner>	internalGetValueMap()
static Aggregation.Aligner	valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)
static Aggregation.Aligner	valueOf(int value) Deprecated. Use forNumber(int) instead.
static Aggregation.Aligner	valueOf(String name) Returns the enum constant of this type with the specified name.
static Aggregation.Aligner[]	values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods inherited from class java.lang.Enum

clone, compareTo, equals, finalize, getDeclaringClass, hashCode, name, ordinal, toString, valueOf

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Enum Constant Detail

ALIGN_NONE

public static final Aggregation.Aligner ALIGN_NONE

 No alignment. Raw data is returned. Not valid if cross-series reduction
 is requested. The `value_type` of the result is the same as the
 `value_type` of the input.
 

ALIGN_NONE = 0;

ALIGN_DELTA

public static final Aggregation.Aligner ALIGN_DELTA

 Align and convert to
 [DELTA][google.api.MetricDescriptor.MetricKind.DELTA].
 The output is `delta = y1 - y0`.

 This alignment is valid for
 [CUMULATIVE][google.api.MetricDescriptor.MetricKind.CUMULATIVE] and
 `DELTA` metrics. If the selected alignment period results in periods
 with no data, then the aligned value for such a period is created by
 interpolation. The `value_type`  of the aligned result is the same as
 the `value_type` of the input.
 

ALIGN_DELTA = 1;

ALIGN_RATE

public static final Aggregation.Aligner ALIGN_RATE

 Align and convert to a rate. The result is computed as
 `rate = (y1 - y0)/(t1 - t0)`, or "delta over time".
 Think of this aligner as providing the slope of the line that passes
 through the value at the start and at the end of the `alignment_period`.

 This aligner is valid for `CUMULATIVE`
 and `DELTA` metrics with numeric values. If the selected alignment
 period results in periods with no data, then the aligned value for
 such a period is created by interpolation. The output is a `GAUGE`
 metric with `value_type` `DOUBLE`.

 If, by "rate", you mean "percentage change", see the
 `ALIGN_PERCENT_CHANGE` aligner instead.
 

ALIGN_RATE = 2;

ALIGN_INTERPOLATE

public static final Aggregation.Aligner ALIGN_INTERPOLATE

 Align by interpolating between adjacent points around the alignment
 period boundary. This aligner is valid for `GAUGE` metrics with
 numeric values. The `value_type` of the aligned result is the same as the
 `value_type` of the input.
 

ALIGN_INTERPOLATE = 3;

ALIGN_NEXT_OLDER

public static final Aggregation.Aligner ALIGN_NEXT_OLDER

 Align by moving the most recent data point before the end of the
 alignment period to the boundary at the end of the alignment
 period. This aligner is valid for `GAUGE` metrics. The `value_type` of
 the aligned result is the same as the `value_type` of the input.
 

ALIGN_NEXT_OLDER = 4;

ALIGN_MIN

public static final Aggregation.Aligner ALIGN_MIN

 Align the time series by returning the minimum value in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric values. The `value_type` of the aligned result is the same as
 the `value_type` of the input.
 

ALIGN_MIN = 10;

ALIGN_MAX

public static final Aggregation.Aligner ALIGN_MAX

 Align the time series by returning the maximum value in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric values. The `value_type` of the aligned result is the same as
 the `value_type` of the input.
 

ALIGN_MAX = 11;

ALIGN_MEAN

public static final Aggregation.Aligner ALIGN_MEAN

 Align the time series by returning the mean value in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric values. The `value_type` of the aligned result is `DOUBLE`.
 

ALIGN_MEAN = 12;

ALIGN_COUNT

public static final Aggregation.Aligner ALIGN_COUNT

 Align the time series by returning the number of values in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric or Boolean values. The `value_type` of the aligned result is
 `INT64`.
 

ALIGN_COUNT = 13;

ALIGN_SUM

public static final Aggregation.Aligner ALIGN_SUM

 Align the time series by returning the sum of the values in each
 alignment period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with numeric and distribution values. The `value_type` of the
 aligned result is the same as the `value_type` of the input.
 

ALIGN_SUM = 14;

ALIGN_STDDEV

public static final Aggregation.Aligner ALIGN_STDDEV

 Align the time series by returning the standard deviation of the values
 in each alignment period. This aligner is valid for `GAUGE` and
 `DELTA` metrics with numeric values. The `value_type` of the output is
 `DOUBLE`.
 

ALIGN_STDDEV = 15;

ALIGN_COUNT_TRUE

public static final Aggregation.Aligner ALIGN_COUNT_TRUE

 Align the time series by returning the number of `True` values in
 each alignment period. This aligner is valid for `GAUGE` metrics with
 Boolean values. The `value_type` of the output is `INT64`.
 

ALIGN_COUNT_TRUE = 16;

ALIGN_COUNT_FALSE

public static final Aggregation.Aligner ALIGN_COUNT_FALSE

 Align the time series by returning the number of `False` values in
 each alignment period. This aligner is valid for `GAUGE` metrics with
 Boolean values. The `value_type` of the output is `INT64`.
 

ALIGN_COUNT_FALSE = 24;

ALIGN_FRACTION_TRUE

public static final Aggregation.Aligner ALIGN_FRACTION_TRUE

 Align the time series by returning the ratio of the number of `True`
 values to the total number of values in each alignment period. This
 aligner is valid for `GAUGE` metrics with Boolean values. The output
 value is in the range [0.0, 1.0] and has `value_type` `DOUBLE`.
 

ALIGN_FRACTION_TRUE = 17;

ALIGN_PERCENTILE_99

public static final Aggregation.Aligner ALIGN_PERCENTILE_99

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 99th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_99 = 18;

ALIGN_PERCENTILE_95

public static final Aggregation.Aligner ALIGN_PERCENTILE_95

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 95th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_95 = 19;

ALIGN_PERCENTILE_50

public static final Aggregation.Aligner ALIGN_PERCENTILE_50

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 50th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_50 = 20;

ALIGN_PERCENTILE_05

public static final Aggregation.Aligner ALIGN_PERCENTILE_05

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 5th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_05 = 21;

ALIGN_PERCENT_CHANGE

public static final Aggregation.Aligner ALIGN_PERCENT_CHANGE

 Align and convert to a percentage change. This aligner is valid for
 `GAUGE` and `DELTA` metrics with numeric values. This alignment returns
 `((current - previous)/previous) * 100`, where the value of `previous` is
 determined based on the `alignment_period`.

 If the values of `current` and `previous` are both 0, then the returned
 value is 0. If only `previous` is 0, the returned value is infinity.

 A 10-minute moving mean is computed at each point of the alignment period
 prior to the above calculation to smooth the metric and prevent false
 positives from very short-lived spikes. The moving mean is only
 applicable for data whose values are `>= 0`. Any values `< 0` are
 treated as a missing datapoint, and are ignored. While `DELTA`
 metrics are accepted by this alignment, special care should be taken that
 the values for the metric will always be positive. The output is a
 `GAUGE` metric with `value_type` `DOUBLE`.
 

ALIGN_PERCENT_CHANGE = 23;

UNRECOGNIZED

public static final Aggregation.Aligner UNRECOGNIZED

Field Detail

ALIGN_NONE_VALUE

public static final int ALIGN_NONE_VALUE

 No alignment. Raw data is returned. Not valid if cross-series reduction
 is requested. The `value_type` of the result is the same as the
 `value_type` of the input.
 

ALIGN_NONE = 0;

See Also:

Constant Field Values

ALIGN_DELTA_VALUE

public static final int ALIGN_DELTA_VALUE

 Align and convert to
 [DELTA][google.api.MetricDescriptor.MetricKind.DELTA].
 The output is `delta = y1 - y0`.

 This alignment is valid for
 [CUMULATIVE][google.api.MetricDescriptor.MetricKind.CUMULATIVE] and
 `DELTA` metrics. If the selected alignment period results in periods
 with no data, then the aligned value for such a period is created by
 interpolation. The `value_type`  of the aligned result is the same as
 the `value_type` of the input.
 

ALIGN_DELTA = 1;

See Also:

Constant Field Values

ALIGN_RATE_VALUE

public static final int ALIGN_RATE_VALUE

 Align and convert to a rate. The result is computed as
 `rate = (y1 - y0)/(t1 - t0)`, or "delta over time".
 Think of this aligner as providing the slope of the line that passes
 through the value at the start and at the end of the `alignment_period`.

 This aligner is valid for `CUMULATIVE`
 and `DELTA` metrics with numeric values. If the selected alignment
 period results in periods with no data, then the aligned value for
 such a period is created by interpolation. The output is a `GAUGE`
 metric with `value_type` `DOUBLE`.

 If, by "rate", you mean "percentage change", see the
 `ALIGN_PERCENT_CHANGE` aligner instead.
 

ALIGN_RATE = 2;

See Also:

Constant Field Values

ALIGN_INTERPOLATE_VALUE

public static final int ALIGN_INTERPOLATE_VALUE

 Align by interpolating between adjacent points around the alignment
 period boundary. This aligner is valid for `GAUGE` metrics with
 numeric values. The `value_type` of the aligned result is the same as the
 `value_type` of the input.
 

ALIGN_INTERPOLATE = 3;

See Also:

Constant Field Values

ALIGN_NEXT_OLDER_VALUE

public static final int ALIGN_NEXT_OLDER_VALUE

 Align by moving the most recent data point before the end of the
 alignment period to the boundary at the end of the alignment
 period. This aligner is valid for `GAUGE` metrics. The `value_type` of
 the aligned result is the same as the `value_type` of the input.
 

ALIGN_NEXT_OLDER = 4;

See Also:

Constant Field Values

ALIGN_MIN_VALUE

public static final int ALIGN_MIN_VALUE

 Align the time series by returning the minimum value in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric values. The `value_type` of the aligned result is the same as
 the `value_type` of the input.
 

ALIGN_MIN = 10;

See Also:

Constant Field Values

ALIGN_MAX_VALUE

public static final int ALIGN_MAX_VALUE

 Align the time series by returning the maximum value in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric values. The `value_type` of the aligned result is the same as
 the `value_type` of the input.
 

ALIGN_MAX = 11;

See Also:

Constant Field Values

ALIGN_MEAN_VALUE

public static final int ALIGN_MEAN_VALUE

 Align the time series by returning the mean value in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric values. The `value_type` of the aligned result is `DOUBLE`.
 

ALIGN_MEAN = 12;

See Also:

Constant Field Values

ALIGN_COUNT_VALUE

public static final int ALIGN_COUNT_VALUE

 Align the time series by returning the number of values in each alignment
 period. This aligner is valid for `GAUGE` and `DELTA` metrics with
 numeric or Boolean values. The `value_type` of the aligned result is
 `INT64`.
 

ALIGN_COUNT = 13;

See Also:

Constant Field Values

ALIGN_SUM_VALUE

public static final int ALIGN_SUM_VALUE

 Align the time series by returning the sum of the values in each
 alignment period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with numeric and distribution values. The `value_type` of the
 aligned result is the same as the `value_type` of the input.
 

ALIGN_SUM = 14;

See Also:

Constant Field Values

ALIGN_STDDEV_VALUE

public static final int ALIGN_STDDEV_VALUE

 Align the time series by returning the standard deviation of the values
 in each alignment period. This aligner is valid for `GAUGE` and
 `DELTA` metrics with numeric values. The `value_type` of the output is
 `DOUBLE`.
 

ALIGN_STDDEV = 15;

See Also:

Constant Field Values

ALIGN_COUNT_TRUE_VALUE

public static final int ALIGN_COUNT_TRUE_VALUE

 Align the time series by returning the number of `True` values in
 each alignment period. This aligner is valid for `GAUGE` metrics with
 Boolean values. The `value_type` of the output is `INT64`.
 

ALIGN_COUNT_TRUE = 16;

See Also:

Constant Field Values

ALIGN_COUNT_FALSE_VALUE

public static final int ALIGN_COUNT_FALSE_VALUE

 Align the time series by returning the number of `False` values in
 each alignment period. This aligner is valid for `GAUGE` metrics with
 Boolean values. The `value_type` of the output is `INT64`.
 

ALIGN_COUNT_FALSE = 24;

See Also:

Constant Field Values

ALIGN_FRACTION_TRUE_VALUE

public static final int ALIGN_FRACTION_TRUE_VALUE

 Align the time series by returning the ratio of the number of `True`
 values to the total number of values in each alignment period. This
 aligner is valid for `GAUGE` metrics with Boolean values. The output
 value is in the range [0.0, 1.0] and has `value_type` `DOUBLE`.
 

ALIGN_FRACTION_TRUE = 17;

See Also:

Constant Field Values

ALIGN_PERCENTILE_99_VALUE

public static final int ALIGN_PERCENTILE_99_VALUE

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 99th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_99 = 18;

See Also:

Constant Field Values

ALIGN_PERCENTILE_95_VALUE

public static final int ALIGN_PERCENTILE_95_VALUE

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 95th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_95 = 19;

See Also:

Constant Field Values

ALIGN_PERCENTILE_50_VALUE

public static final int ALIGN_PERCENTILE_50_VALUE

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 50th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_50 = 20;

See Also:

Constant Field Values

ALIGN_PERCENTILE_05_VALUE

public static final int ALIGN_PERCENTILE_05_VALUE

 Align the time series by using [percentile
 aggregation](https://en.wikipedia.org/wiki/Percentile). The resulting
 data point in each alignment period is the 5th percentile of all data
 points in the period. This aligner is valid for `GAUGE` and `DELTA`
 metrics with distribution values. The output is a `GAUGE` metric with
 `value_type` `DOUBLE`.
 

ALIGN_PERCENTILE_05 = 21;

See Also:

Constant Field Values

ALIGN_PERCENT_CHANGE_VALUE

public static final int ALIGN_PERCENT_CHANGE_VALUE

 Align and convert to a percentage change. This aligner is valid for
 `GAUGE` and `DELTA` metrics with numeric values. This alignment returns
 `((current - previous)/previous) * 100`, where the value of `previous` is
 determined based on the `alignment_period`.

 If the values of `current` and `previous` are both 0, then the returned
 value is 0. If only `previous` is 0, the returned value is infinity.

 A 10-minute moving mean is computed at each point of the alignment period
 prior to the above calculation to smooth the metric and prevent false
 positives from very short-lived spikes. The moving mean is only
 applicable for data whose values are `>= 0`. Any values `< 0` are
 treated as a missing datapoint, and are ignored. While `DELTA`
 metrics are accepted by this alignment, special care should be taken that
 the values for the metric will always be positive. The output is a
 `GAUGE` metric with `value_type` `DOUBLE`.
 

ALIGN_PERCENT_CHANGE = 23;

See Also:

Constant Field Values

Method Detail

values

public static Aggregation.Aligner[] 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.Aligner c : Aggregation.Aligner.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.Aligner 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.Aligner valueOf(int value)

Deprecated. Use forNumber(int) instead.

Parameters:

value - The numeric wire value of the corresponding enum entry.

Returns:

The enum associated with the given numeric wire value.

forNumber

public static Aggregation.Aligner 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.Aligner> 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.Aligner valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc)