public static final class DataprocMetricConfig.Metric.Builder extends GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder> implements DataprocMetricConfig.MetricOrBuilder
A Dataproc OSS metric.Protobuf type
google.cloud.dataproc.v1.DataprocMetricConfig.MetricgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitfindInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneofmergeDelimitedFrom, mergeDelimitedFrommergeFrompublic static final Descriptors.Descriptor getDescriptor()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder clear()
clear in interface Message.Builderclear in interface MessageLite.Builderclear in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface Message.BuildergetDescriptorForType in interface MessageOrBuildergetDescriptorForType in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric getDefaultInstanceForType()
getDefaultInstanceForType in interface MessageLiteOrBuildergetDefaultInstanceForType in interface MessageOrBuilderpublic DataprocMetricConfig.Metric build()
build in interface Message.Builderbuild in interface MessageLite.Builderpublic DataprocMetricConfig.Metric buildPartial()
buildPartial in interface Message.BuilderbuildPartial in interface MessageLite.Builderpublic DataprocMetricConfig.Metric.Builder clone()
clone in interface Message.Builderclone in interface MessageLite.Builderclone in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder setField(Descriptors.FieldDescriptor field, Object value)
setField in interface Message.BuildersetField in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder clearField(Descriptors.FieldDescriptor field)
clearField in interface Message.BuilderclearField in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder clearOneof(Descriptors.OneofDescriptor oneof)
clearOneof in interface Message.BuilderclearOneof in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface Message.BuildersetRepeatedField in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface Message.BuilderaddRepeatedField in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder mergeFrom(Message other)
mergeFrom in interface Message.BuildermergeFrom in class AbstractMessage.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder mergeFrom(DataprocMetricConfig.Metric other)
public final boolean isInitialized()
isInitialized in interface MessageLiteOrBuilderisInitialized in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface Message.BuildermergeFrom in interface MessageLite.BuildermergeFrom in class AbstractMessage.Builder<DataprocMetricConfig.Metric.Builder>IOExceptionpublic int getMetricSourceValue()
Required. Default metrics are collected unless `metricOverrides` are specified for the metric source (see [Available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
getMetricSourceValue in interface DataprocMetricConfig.MetricOrBuilderpublic DataprocMetricConfig.Metric.Builder setMetricSourceValue(int value)
Required. Default metrics are collected unless `metricOverrides` are specified for the metric source (see [Available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
value - The enum numeric value on the wire for metricSource to set.public DataprocMetricConfig.MetricSource getMetricSource()
Required. Default metrics are collected unless `metricOverrides` are specified for the metric source (see [Available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
getMetricSource in interface DataprocMetricConfig.MetricOrBuilderpublic DataprocMetricConfig.Metric.Builder setMetricSource(DataprocMetricConfig.MetricSource value)
Required. Default metrics are collected unless `metricOverrides` are specified for the metric source (see [Available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
value - The metricSource to set.public DataprocMetricConfig.Metric.Builder clearMetricSource()
Required. Default metrics are collected unless `metricOverrides` are specified for the metric source (see [Available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
public ProtocolStringList getMetricOverridesList()
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
getMetricOverridesList in interface DataprocMetricConfig.MetricOrBuilderpublic int getMetricOverridesCount()
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
getMetricOverridesCount in interface DataprocMetricConfig.MetricOrBuilderpublic String getMetricOverrides(int index)
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
getMetricOverrides in interface DataprocMetricConfig.MetricOrBuilderindex - The index of the element to return.public ByteString getMetricOverridesBytes(int index)
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
getMetricOverridesBytes in interface DataprocMetricConfig.MetricOrBuilderindex - The index of the value to return.public DataprocMetricConfig.Metric.Builder setMetricOverrides(int index, String value)
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
index - The index to set the value at.value - The metricOverrides to set.public DataprocMetricConfig.Metric.Builder addMetricOverrides(String value)
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
value - The metricOverrides to add.public DataprocMetricConfig.Metric.Builder addAllMetricOverrides(Iterable<String> values)
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
values - The metricOverrides to add.public DataprocMetricConfig.Metric.Builder clearMetricOverrides()
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
public DataprocMetricConfig.Metric.Builder addMetricOverridesBytes(ByteString value)
Optional. Specify one or more [available OSS metrics] (https://cloud.google.com/dataproc/docs/guides/monitoring#available_oss_metrics) to collect for the metric course (for the `SPARK` metric source, any [Spark metric] (https://spark.apache.org/docs/latest/monitoring.html#metrics) 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 will be collected for the metric source. For example, if one or more `spark:executive` metrics are listed as metric overrides, other `SPARK` metrics will not be collected. The collection of the default metrics for other OSS metric sources is unaffected. For example, if both `SPARK` andd `YARN` metric sources are enabled, and overrides are provided for Spark metrics only, all default YARN metrics will be collected.
repeated string metric_overrides = 2 [(.google.api.field_behavior) = OPTIONAL];
value - The bytes of the metricOverrides to add.public final DataprocMetricConfig.Metric.Builder setUnknownFields(UnknownFieldSet unknownFields)
setUnknownFields in interface Message.BuildersetUnknownFields in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public final DataprocMetricConfig.Metric.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
mergeUnknownFields in interface Message.BuildermergeUnknownFields in class GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>Copyright © 2022 Google LLC. All rights reserved.