public static final class DataprocMetricConfig.Metric.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder> implements DataprocMetricConfig.MetricOrBuilder
A Dataproc custom metric.Protobuf type
google.cloud.dataproc.v1.DataprocMetricConfig.MetricgetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, 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, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic DataprocMetricConfig.Metric build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic DataprocMetricConfig.Metric buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic DataprocMetricConfig.Metric.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder mergeFrom(DataprocMetricConfig.Metric other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public DataprocMetricConfig.Metric.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<DataprocMetricConfig.Metric.Builder>IOExceptionpublic int getMetricSourceValue()
Required. A standard set of metrics is collected unless `metricOverrides` are specified for the metric source (see [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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. A standard set of metrics is collected unless `metricOverrides` are specified for the metric source (see [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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. A standard set of metrics is collected unless `metricOverrides` are specified for the metric source (see [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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. A standard set of metrics is collected unless `metricOverrides` are specified for the metric source (see [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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. A standard set of metrics is collected unless `metricOverrides` are specified for the metric source (see [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_metrics) for more information).
.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource metric_source = 1 [(.google.api.field_behavior) = REQUIRED];
public com.google.protobuf.ProtocolStringList getMetricOverridesList()
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
getMetricOverridesList in interface DataprocMetricConfig.MetricOrBuilderpublic int getMetricOverridesCount()
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
getMetricOverridesCount in interface DataprocMetricConfig.MetricOrBuilderpublic String getMetricOverrides(int index)
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
getMetricOverrides in interface DataprocMetricConfig.MetricOrBuilderindex - The index of the element to return.public com.google.protobuf.ByteString getMetricOverridesBytes(int index)
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
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 [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
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 [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
value - The metricOverrides to add.public DataprocMetricConfig.Metric.Builder addAllMetricOverrides(Iterable<String> values)
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
values - The metricOverrides to add.public DataprocMetricConfig.Metric.Builder clearMetricOverrides()
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
public DataprocMetricConfig.Metric.Builder addMetricOverridesBytes(com.google.protobuf.ByteString value)
Optional. Specify one or more [Custom metrics] (https://cloud.google.com/dataproc/docs/guides/dataproc-metrics#custom_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 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];
value - The bytes of the metricOverrides to add.public final DataprocMetricConfig.Metric.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>public final DataprocMetricConfig.Metric.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<DataprocMetricConfig.Metric.Builder>Copyright © 2024 Google LLC. All rights reserved.