Class DataprocMetricConfig.Metric.Builder (4.29.0)

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)