Class DataprocMetricConfig.Metric.Builder (4.49.0)

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public static final class DataprocMetricConfig.Metric.Builder extends GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder> implements DataprocMetricConfig.MetricOrBuilder

A Dataproc custom metric.

Protobuf type google.cloud.dataproc.v1.DataprocMetricConfig.Metric

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > DataprocMetricConfig.Metric.Builder

Implements

DataprocMetricConfig.MetricOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addAllMetricOverrides(Iterable<String> values)

public DataprocMetricConfig.Metric.Builder addAllMetricOverrides(Iterable<String> values)

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
values	Iterable<String> The metricOverrides to add.

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

addMetricOverrides(String value)

public DataprocMetricConfig.Metric.Builder addMetricOverrides(String value)

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The metricOverrides to add.

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

addMetricOverridesBytes(ByteString value)

public DataprocMetricConfig.Metric.Builder addMetricOverridesBytes(ByteString value)

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	ByteString The bytes of the metricOverrides to add.

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public DataprocMetricConfig.Metric.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public DataprocMetricConfig.Metric build()

Returns
Type	Description
DataprocMetricConfig.Metric

buildPartial()

public DataprocMetricConfig.Metric buildPartial()

Returns
Type	Description
DataprocMetricConfig.Metric

clear()

public DataprocMetricConfig.Metric.Builder clear()

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public DataprocMetricConfig.Metric.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearMetricOverrides()

public DataprocMetricConfig.Metric.Builder clearMetricOverrides()

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

clearMetricSource()

public DataprocMetricConfig.Metric.Builder clearMetricSource()

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public DataprocMetricConfig.Metric.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clone()

public DataprocMetricConfig.Metric.Builder clone()

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public DataprocMetricConfig.Metric getDefaultInstanceForType()

Returns
Type	Description
DataprocMetricConfig.Metric

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getMetricOverrides(int index)

public String getMetricOverrides(int index)

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
String	The metricOverrides at the given index.

getMetricOverridesBytes(int index)

public ByteString getMetricOverridesBytes(int index)

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int The index of the value to return.

Returns
Type	Description
ByteString	The bytes of the metricOverrides at the given index.

getMetricOverridesCount()

public int getMetricOverridesCount()

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The count of metricOverrides.

getMetricOverridesList()

public ProtocolStringList getMetricOverridesList()

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ProtocolStringList	A list containing the metricOverrides.

getMetricSource()

public DataprocMetricConfig.MetricSource getMetricSource()

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
DataprocMetricConfig.MetricSource	The metricSource.

getMetricSourceValue()

public int getMetricSourceValue()

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
int	The enum numeric value on the wire for metricSource.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeFrom(DataprocMetricConfig.Metric other)

public DataprocMetricConfig.Metric.Builder mergeFrom(DataprocMetricConfig.Metric other)

Parameter
Name	Description
other	DataprocMetricConfig.Metric

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public DataprocMetricConfig.Metric.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public DataprocMetricConfig.Metric.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeUnknownFields(UnknownFieldSet unknownFields)

public final DataprocMetricConfig.Metric.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setField(Descriptors.FieldDescriptor field, Object value)

public DataprocMetricConfig.Metric.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setMetricOverrides(int index, String value)

public DataprocMetricConfig.Metric.Builder setMetricOverrides(int index, String value)

Optional. Specify one or more Custom metrics to collect for the metric course (for the SPARK metric source (any Spark metric can be specified).

Provide metrics in the following format: <code><var>METRIC_SOURCE</var>:<var>INSTANCE</var>:<var>GROUP</var>:<var>METRIC</var></code> Use camelcase as appropriate.

Examples:

` yarn:ResourceManager:QueueMetrics:AppsCompleted spark:driver:DAGScheduler:job.allJobs sparkHistoryServer:JVM:Memory:NonHeapMemoryUsage.committed hiveserver2:JVM:Memory:NonHeapMemoryUsage.used

Notes:

• Only the specified overridden metrics are collected for the metric source. For example, if one or more

spark:executive metrics are listed as metric overrides, other SPARK metrics are not collected. The collection of the metrics for other enabled custom metric sources is unaffected. For example, if both SPARK andd YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all YARN metrics are collected.

repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameters
Name	Description
index	int The index to set the value at.
value	String The metricOverrides to set.

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

setMetricSource(DataprocMetricConfig.MetricSource value)

public DataprocMetricConfig.Metric.Builder setMetricSource(DataprocMetricConfig.MetricSource value)

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	DataprocMetricConfig.MetricSource The metricSource to set.

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

setMetricSourceValue(int value)

public DataprocMetricConfig.Metric.Builder setMetricSourceValue(int value)

Required. A standard set of metrics is collected unless metricOverrides are specified for the metric source (see Custom metrics for more information).

.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	int The enum numeric value on the wire for metricSource to set.

Returns
Type	Description
DataprocMetricConfig.Metric.Builder	This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public DataprocMetricConfig.Metric.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final DataprocMetricConfig.Metric.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
DataprocMetricConfig.Metric.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)