| Package | Description |
|---|---|
| com.google.monitoring.v3 |
| Modifier and Type | Method and Description |
|---|---|
static Aggregation.Reducer |
Aggregation.Reducer.forNumber(int value) |
Aggregation.Reducer |
AggregationOrBuilder.getCrossSeriesReducer()
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.
|
Aggregation.Reducer |
Aggregation.getCrossSeriesReducer()
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.
|
Aggregation.Reducer |
Aggregation.Builder.getCrossSeriesReducer()
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.
|
static Aggregation.Reducer |
Aggregation.Reducer.valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) |
static Aggregation.Reducer |
Aggregation.Reducer.valueOf(int value)
Deprecated.
Use
forNumber(int) instead. |
static Aggregation.Reducer |
Aggregation.Reducer.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static Aggregation.Reducer[] |
Aggregation.Reducer.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
| Modifier and Type | Method and Description |
|---|---|
static com.google.protobuf.Internal.EnumLiteMap<Aggregation.Reducer> |
Aggregation.Reducer.internalGetValueMap() |
| Modifier and Type | Method and Description |
|---|---|
Aggregation.Builder |
Aggregation.Builder.setCrossSeriesReducer(Aggregation.Reducer value)
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.
|
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