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/*
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* https://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/dataproc/v1/clusters.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.dataproc.v1;
/**
*
*
*
* Dataproc metric config.
*
*
* Protobuf type {@code google.cloud.dataproc.v1.DataprocMetricConfig}
*/
public final class DataprocMetricConfig extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.dataproc.v1.DataprocMetricConfig)
DataprocMetricConfigOrBuilder {
private static final long serialVersionUID = 0L;
// Use DataprocMetricConfig.newBuilder() to construct.
private DataprocMetricConfig(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private DataprocMetricConfig() {
metrics_ = java.util.Collections.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new DataprocMetricConfig();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.dataproc.v1.DataprocMetricConfig.class,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Builder.class);
}
/**
*
*
*
* A source for the collection of Dataproc custom metrics (see [Custom
* metrics]
* (https://cloud.google.com//dataproc/docs/guides/dataproc-metrics#custom_metrics)).
*
*
* Protobuf enum {@code google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource}
*/
public enum MetricSource implements com.google.protobuf.ProtocolMessageEnum {
/**
*
*
*
* Required unspecified metric source.
*
*
* METRIC_SOURCE_UNSPECIFIED = 0;
*/
METRIC_SOURCE_UNSPECIFIED(0),
/**
*
*
*
* Monitoring agent metrics. If this source is enabled,
* Dataproc enables the monitoring agent in Compute Engine,
* and collects monitoring agent metrics, which are published
* with an `agent.googleapis.com` prefix.
*
*
* MONITORING_AGENT_DEFAULTS = 1;
*/
MONITORING_AGENT_DEFAULTS(1),
/**
*
*
*
* HDFS metric source.
*
*
* HDFS = 2;
*/
HDFS(2),
/**
*
*
*
* Spark metric source.
*
*
* SPARK = 3;
*/
SPARK(3),
/**
*
*
*
* YARN metric source.
*
*
* YARN = 4;
*/
YARN(4),
/**
*
*
*
* Spark History Server metric source.
*
*
* SPARK_HISTORY_SERVER = 5;
*/
SPARK_HISTORY_SERVER(5),
/**
*
*
*
* Hiveserver2 metric source.
*
*
* HIVESERVER2 = 6;
*/
HIVESERVER2(6),
/**
*
*
*
* hivemetastore metric source
*
*
* HIVEMETASTORE = 7;
*/
HIVEMETASTORE(7),
/**
*
*
*
* flink metric source
*
*
* FLINK = 8;
*/
FLINK(8),
UNRECOGNIZED(-1),
;
/**
*
*
*
* Required unspecified metric source.
*
*
* METRIC_SOURCE_UNSPECIFIED = 0;
*/
public static final int METRIC_SOURCE_UNSPECIFIED_VALUE = 0;
/**
*
*
*
* Monitoring agent metrics. If this source is enabled,
* Dataproc enables the monitoring agent in Compute Engine,
* and collects monitoring agent metrics, which are published
* with an `agent.googleapis.com` prefix.
*
*
* MONITORING_AGENT_DEFAULTS = 1;
*/
public static final int MONITORING_AGENT_DEFAULTS_VALUE = 1;
/**
*
*
*
* HDFS metric source.
*
*
* HDFS = 2;
*/
public static final int HDFS_VALUE = 2;
/**
*
*
*
* Spark metric source.
*
*
* SPARK = 3;
*/
public static final int SPARK_VALUE = 3;
/**
*
*
*
* YARN metric source.
*
*
* YARN = 4;
*/
public static final int YARN_VALUE = 4;
/**
*
*
*
* Spark History Server metric source.
*
*
* SPARK_HISTORY_SERVER = 5;
*/
public static final int SPARK_HISTORY_SERVER_VALUE = 5;
/**
*
*
*
* Hiveserver2 metric source.
*
*
* HIVESERVER2 = 6;
*/
public static final int HIVESERVER2_VALUE = 6;
/**
*
*
*
* hivemetastore metric source
*
*
* HIVEMETASTORE = 7;
*/
public static final int HIVEMETASTORE_VALUE = 7;
/**
*
*
*
* flink metric source
*
*
* FLINK = 8;
*/
public static final int FLINK_VALUE = 8;
public final int getNumber() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalArgumentException(
"Can't get the number of an unknown enum value.");
}
return value;
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
* @deprecated Use {@link #forNumber(int)} instead.
*/
@java.lang.Deprecated
public static MetricSource valueOf(int value) {
return forNumber(value);
}
/**
* @param value The numeric wire value of the corresponding enum entry.
* @return The enum associated with the given numeric wire value.
*/
public static MetricSource forNumber(int value) {
switch (value) {
case 0:
return METRIC_SOURCE_UNSPECIFIED;
case 1:
return MONITORING_AGENT_DEFAULTS;
case 2:
return HDFS;
case 3:
return SPARK;
case 4:
return YARN;
case 5:
return SPARK_HISTORY_SERVER;
case 6:
return HIVESERVER2;
case 7:
return HIVEMETASTORE;
case 8:
return FLINK;
default:
return null;
}
}
public static com.google.protobuf.Internal.EnumLiteMap internalGetValueMap() {
return internalValueMap;
}
private static final com.google.protobuf.Internal.EnumLiteMap internalValueMap =
new com.google.protobuf.Internal.EnumLiteMap() {
public MetricSource findValueByNumber(int number) {
return MetricSource.forNumber(number);
}
};
public final com.google.protobuf.Descriptors.EnumValueDescriptor getValueDescriptor() {
if (this == UNRECOGNIZED) {
throw new java.lang.IllegalStateException(
"Can't get the descriptor of an unrecognized enum value.");
}
return getDescriptor().getValues().get(ordinal());
}
public final com.google.protobuf.Descriptors.EnumDescriptor getDescriptorForType() {
return getDescriptor();
}
public static final com.google.protobuf.Descriptors.EnumDescriptor getDescriptor() {
return com.google.cloud.dataproc.v1.DataprocMetricConfig.getDescriptor()
.getEnumTypes()
.get(0);
}
private static final MetricSource[] VALUES = values();
public static MetricSource valueOf(com.google.protobuf.Descriptors.EnumValueDescriptor desc) {
if (desc.getType() != getDescriptor()) {
throw new java.lang.IllegalArgumentException("EnumValueDescriptor is not for this type.");
}
if (desc.getIndex() == -1) {
return UNRECOGNIZED;
}
return VALUES[desc.getIndex()];
}
private final int value;
private MetricSource(int value) {
this.value = value;
}
// @@protoc_insertion_point(enum_scope:google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource)
}
public interface MetricOrBuilder
extends
// @@protoc_insertion_point(interface_extends:google.cloud.dataproc.v1.DataprocMetricConfig.Metric)
com.google.protobuf.MessageOrBuilder {
/**
*
*
*
* 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];
*
*
* @return The enum numeric value on the wire for metricSource.
*/
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];
*
*
* @return The metricSource.
*/
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource getMetricSource();
/**
*
*
*
* 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];
*
* @return A list containing the metricOverrides.
*/
java.util.List 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];
*
* @return The count of metricOverrides.
*/
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];
*
* @param index The index of the element to return.
* @return The metricOverrides at the given index.
*/
java.lang.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];
*
* @param index The index of the value to return.
* @return The bytes of the metricOverrides at the given index.
*/
com.google.protobuf.ByteString getMetricOverridesBytes(int index);
}
/**
*
*
*
* A Dataproc custom metric.
*
*
* Protobuf type {@code google.cloud.dataproc.v1.DataprocMetricConfig.Metric}
*/
public static final class Metric extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.dataproc.v1.DataprocMetricConfig.Metric)
MetricOrBuilder {
private static final long serialVersionUID = 0L;
// Use Metric.newBuilder() to construct.
private Metric(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private Metric() {
metricSource_ = 0;
metricOverrides_ = com.google.protobuf.LazyStringArrayList.emptyList();
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new Metric();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_Metric_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_Metric_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.class,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder.class);
}
public static final int METRIC_SOURCE_FIELD_NUMBER = 1;
private int metricSource_ = 0;
/**
*
*
*
* 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];
*
*
* @return The enum numeric value on the wire for metricSource.
*/
@java.lang.Override
public int getMetricSourceValue() {
return metricSource_;
}
/**
*
*
*
* 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];
*
*
* @return The metricSource.
*/
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource getMetricSource() {
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource result =
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource.forNumber(metricSource_);
return result == null
? com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource.UNRECOGNIZED
: result;
}
public static final int METRIC_OVERRIDES_FIELD_NUMBER = 2;
@SuppressWarnings("serial")
private com.google.protobuf.LazyStringArrayList metricOverrides_ =
com.google.protobuf.LazyStringArrayList.emptyList();
/**
*
*
*
* 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];
*
* @return A list containing the metricOverrides.
*/
public com.google.protobuf.ProtocolStringList getMetricOverridesList() {
return metricOverrides_;
}
/**
*
*
*
* 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];
*
* @return The count of metricOverrides.
*/
public int getMetricOverridesCount() {
return metricOverrides_.size();
}
/**
*
*
*
* 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];
*
* @param index The index of the element to return.
* @return The metricOverrides at the given index.
*/
public java.lang.String getMetricOverrides(int index) {
return metricOverrides_.get(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];
*
* @param index The index of the value to return.
* @return The bytes of the metricOverrides at the given index.
*/
public com.google.protobuf.ByteString getMetricOverridesBytes(int index) {
return metricOverrides_.getByteString(index);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
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if (!(obj instanceof com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric)) {
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}
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric other =
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
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throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(byte[] data)
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
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return PARSER.parseFrom(data, extensionRegistry);
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
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public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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@java.lang.Override
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return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(
com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* A Dataproc custom metric.
*
*
* Protobuf type {@code google.cloud.dataproc.v1.DataprocMetricConfig.Metric}
*/
public static final class Builder
extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.dataproc.v1.DataprocMetricConfig.Metric)
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_Metric_descriptor;
}
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com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.class,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder.class);
}
// Construct using com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
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metricSource_ = 0;
metricOverrides_ = com.google.protobuf.LazyStringArrayList.emptyList();
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_Metric_descriptor;
}
@java.lang.Override
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return com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric build() {
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric buildPartial() {
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric result =
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if (bitField0_ != 0) {
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}
if (((from_bitField0_ & 0x00000002) != 0)) {
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result.metricOverrides_ = metricOverrides_;
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@java.lang.Override
public Builder clone() {
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@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
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@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
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@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
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@java.lang.Override
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int index,
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return this;
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}
public Builder mergeFrom(com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric other) {
if (other == com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.getDefaultInstance())
return this;
if (other.metricSource_ != 0) {
setMetricSourceValue(other.getMetricSourceValue());
}
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this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
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@java.lang.Override
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@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
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break;
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} // switch (tag)
} // while (!done)
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onChanged();
} // finally
return this;
}
private int bitField0_;
private int metricSource_ = 0;
/**
*
*
*
* 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];
*
*
* @return The enum numeric value on the wire for metricSource.
*/
@java.lang.Override
public int getMetricSourceValue() {
return metricSource_;
}
/**
*
*
*
* 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];
*
*
* @param value The enum numeric value on the wire for metricSource to set.
* @return This builder for chaining.
*/
public Builder setMetricSourceValue(int value) {
metricSource_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
/**
*
*
*
* 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];
*
*
* @return The metricSource.
*/
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource getMetricSource() {
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource result =
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource.forNumber(metricSource_);
return result == null
? com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource.UNRECOGNIZED
: result;
}
/**
*
*
*
* 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];
*
*
* @param value The metricSource to set.
* @return This builder for chaining.
*/
public Builder setMetricSource(
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricSource value) {
if (value == null) {
throw new NullPointerException();
}
bitField0_ |= 0x00000001;
metricSource_ = value.getNumber();
onChanged();
return this;
}
/**
*
*
*
* 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];
*
*
* @return This builder for chaining.
*/
public Builder clearMetricSource() {
bitField0_ = (bitField0_ & ~0x00000001);
metricSource_ = 0;
onChanged();
return this;
}
private com.google.protobuf.LazyStringArrayList metricOverrides_ =
com.google.protobuf.LazyStringArrayList.emptyList();
private void ensureMetricOverridesIsMutable() {
if (!metricOverrides_.isModifiable()) {
metricOverrides_ = new com.google.protobuf.LazyStringArrayList(metricOverrides_);
}
bitField0_ |= 0x00000002;
}
/**
*
*
*
* 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];
*
*
* @return A list containing the metricOverrides.
*/
public com.google.protobuf.ProtocolStringList getMetricOverridesList() {
metricOverrides_.makeImmutable();
return metricOverrides_;
}
/**
*
*
*
* 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];
*
*
* @return The count of metricOverrides.
*/
public int getMetricOverridesCount() {
return metricOverrides_.size();
}
/**
*
*
*
* 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];
*
*
* @param index The index of the element to return.
* @return The metricOverrides at the given index.
*/
public java.lang.String getMetricOverrides(int index) {
return metricOverrides_.get(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];
*
*
* @param index The index of the value to return.
* @return The bytes of the metricOverrides at the given index.
*/
public com.google.protobuf.ByteString getMetricOverridesBytes(int index) {
return metricOverrides_.getByteString(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];
*
*
* @param index The index to set the value at.
* @param value The metricOverrides to set.
* @return This builder for chaining.
*/
public Builder setMetricOverrides(int index, java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureMetricOverridesIsMutable();
metricOverrides_.set(index, value);
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* 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];
*
*
* @param value The metricOverrides to add.
* @return This builder for chaining.
*/
public Builder addMetricOverrides(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
ensureMetricOverridesIsMutable();
metricOverrides_.add(value);
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* 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];
*
*
* @param values The metricOverrides to add.
* @return This builder for chaining.
*/
public Builder addAllMetricOverrides(java.lang.Iterable values) {
ensureMetricOverridesIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, metricOverrides_);
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* 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];
*
*
* @return This builder for chaining.
*/
public Builder clearMetricOverrides() {
metricOverrides_ = com.google.protobuf.LazyStringArrayList.emptyList();
bitField0_ = (bitField0_ & ~0x00000002);
;
onChanged();
return this;
}
/**
*
*
*
* 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];
*
*
* @param value The bytes of the metricOverrides to add.
* @return This builder for chaining.
*/
public Builder addMetricOverridesBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
ensureMetricOverridesIsMutable();
metricOverrides_.add(value);
bitField0_ |= 0x00000002;
onChanged();
return this;
}
@java.lang.Override
public final Builder setUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.dataproc.v1.DataprocMetricConfig.Metric)
}
// @@protoc_insertion_point(class_scope:google.cloud.dataproc.v1.DataprocMetricConfig.Metric)
private static final com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric();
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public Metric parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException()
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} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
public static final int METRICS_FIELD_NUMBER = 1;
@SuppressWarnings("serial")
private java.util.List metrics_;
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public java.util.List getMetricsList() {
return metrics_;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public java.util.List
getMetricsOrBuilderList() {
return metrics_;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public int getMetricsCount() {
return metrics_.size();
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric getMetrics(int index) {
return metrics_.get(index);
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder getMetricsOrBuilder(
int index) {
return metrics_.get(index);
}
private byte memoizedIsInitialized = -1;
@java.lang.Override
public final boolean isInitialized() {
byte isInitialized = memoizedIsInitialized;
if (isInitialized == 1) return true;
if (isInitialized == 0) return false;
memoizedIsInitialized = 1;
return true;
}
@java.lang.Override
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException {
for (int i = 0; i < metrics_.size(); i++) {
output.writeMessage(1, metrics_.get(i));
}
getUnknownFields().writeTo(output);
}
@java.lang.Override
public int getSerializedSize() {
int size = memoizedSize;
if (size != -1) return size;
size = 0;
for (int i = 0; i < metrics_.size(); i++) {
size += com.google.protobuf.CodedOutputStream.computeMessageSize(1, metrics_.get(i));
}
size += getUnknownFields().getSerializedSize();
memoizedSize = size;
return size;
}
@java.lang.Override
public boolean equals(final java.lang.Object obj) {
if (obj == this) {
return true;
}
if (!(obj instanceof com.google.cloud.dataproc.v1.DataprocMetricConfig)) {
return super.equals(obj);
}
com.google.cloud.dataproc.v1.DataprocMetricConfig other =
(com.google.cloud.dataproc.v1.DataprocMetricConfig) obj;
if (!getMetricsList().equals(other.getMetricsList())) return false;
if (!getUnknownFields().equals(other.getUnknownFields())) return false;
return true;
}
@java.lang.Override
public int hashCode() {
if (memoizedHashCode != 0) {
return memoizedHashCode;
}
int hash = 41;
hash = (19 * hash) + getDescriptor().hashCode();
if (getMetricsCount() > 0) {
hash = (37 * hash) + METRICS_FIELD_NUMBER;
hash = (53 * hash) + getMetricsList().hashCode();
}
hash = (29 * hash) + getUnknownFields().hashCode();
memoizedHashCode = hash;
return hash;
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(byte[] data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseDelimitedFrom(
java.io.InputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(PARSER, input);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseDelimitedFrom(
java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
PARSER, input, extensionRegistry);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
com.google.protobuf.CodedInputStream input) throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(PARSER, input);
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig parseFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
PARSER, input, extensionRegistry);
}
@java.lang.Override
public Builder newBuilderForType() {
return newBuilder();
}
public static Builder newBuilder() {
return DEFAULT_INSTANCE.toBuilder();
}
public static Builder newBuilder(com.google.cloud.dataproc.v1.DataprocMetricConfig prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
}
@java.lang.Override
public Builder toBuilder() {
return this == DEFAULT_INSTANCE ? new Builder() : new Builder().mergeFrom(this);
}
@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
Builder builder = new Builder(parent);
return builder;
}
/**
*
*
*
* Dataproc metric config.
*
*
* Protobuf type {@code google.cloud.dataproc.v1.DataprocMetricConfig}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.cloud.dataproc.v1.DataprocMetricConfig)
com.google.cloud.dataproc.v1.DataprocMetricConfigOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_descriptor;
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.dataproc.v1.ClustersProto
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com.google.cloud.dataproc.v1.DataprocMetricConfig.class,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Builder.class);
}
// Construct using com.google.cloud.dataproc.v1.DataprocMetricConfig.newBuilder()
private Builder() {}
private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
}
@java.lang.Override
public Builder clear() {
super.clear();
bitField0_ = 0;
if (metricsBuilder_ == null) {
metrics_ = java.util.Collections.emptyList();
} else {
metrics_ = null;
metricsBuilder_.clear();
}
bitField0_ = (bitField0_ & ~0x00000001);
return this;
}
@java.lang.Override
public com.google.protobuf.Descriptors.Descriptor getDescriptorForType() {
return com.google.cloud.dataproc.v1.ClustersProto
.internal_static_google_cloud_dataproc_v1_DataprocMetricConfig_descriptor;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig getDefaultInstanceForType() {
return com.google.cloud.dataproc.v1.DataprocMetricConfig.getDefaultInstance();
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig build() {
com.google.cloud.dataproc.v1.DataprocMetricConfig result = buildPartial();
if (!result.isInitialized()) {
throw newUninitializedMessageException(result);
}
return result;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig buildPartial() {
com.google.cloud.dataproc.v1.DataprocMetricConfig result =
new com.google.cloud.dataproc.v1.DataprocMetricConfig(this);
buildPartialRepeatedFields(result);
if (bitField0_ != 0) {
buildPartial0(result);
}
onBuilt();
return result;
}
private void buildPartialRepeatedFields(
com.google.cloud.dataproc.v1.DataprocMetricConfig result) {
if (metricsBuilder_ == null) {
if (((bitField0_ & 0x00000001) != 0)) {
metrics_ = java.util.Collections.unmodifiableList(metrics_);
bitField0_ = (bitField0_ & ~0x00000001);
}
result.metrics_ = metrics_;
} else {
result.metrics_ = metricsBuilder_.build();
}
}
private void buildPartial0(com.google.cloud.dataproc.v1.DataprocMetricConfig result) {
int from_bitField0_ = bitField0_;
}
@java.lang.Override
public Builder clone() {
return super.clone();
}
@java.lang.Override
public Builder setField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.setField(field, value);
}
@java.lang.Override
public Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field) {
return super.clearField(field);
}
@java.lang.Override
public Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) {
return super.clearOneof(oneof);
}
@java.lang.Override
public Builder setRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, int index, java.lang.Object value) {
return super.setRepeatedField(field, index, value);
}
@java.lang.Override
public Builder addRepeatedField(
com.google.protobuf.Descriptors.FieldDescriptor field, java.lang.Object value) {
return super.addRepeatedField(field, value);
}
@java.lang.Override
public Builder mergeFrom(com.google.protobuf.Message other) {
if (other instanceof com.google.cloud.dataproc.v1.DataprocMetricConfig) {
return mergeFrom((com.google.cloud.dataproc.v1.DataprocMetricConfig) other);
} else {
super.mergeFrom(other);
return this;
}
}
public Builder mergeFrom(com.google.cloud.dataproc.v1.DataprocMetricConfig other) {
if (other == com.google.cloud.dataproc.v1.DataprocMetricConfig.getDefaultInstance())
return this;
if (metricsBuilder_ == null) {
if (!other.metrics_.isEmpty()) {
if (metrics_.isEmpty()) {
metrics_ = other.metrics_;
bitField0_ = (bitField0_ & ~0x00000001);
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ensureMetricsIsMutable();
metrics_.addAll(other.metrics_);
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onChanged();
}
} else {
if (!other.metrics_.isEmpty()) {
if (metricsBuilder_.isEmpty()) {
metricsBuilder_.dispose();
metricsBuilder_ = null;
metrics_ = other.metrics_;
bitField0_ = (bitField0_ & ~0x00000001);
metricsBuilder_ =
com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders
? getMetricsFieldBuilder()
: null;
} else {
metricsBuilder_.addAllMessages(other.metrics_);
}
}
}
this.mergeUnknownFields(other.getUnknownFields());
onChanged();
return this;
}
@java.lang.Override
public final boolean isInitialized() {
return true;
}
@java.lang.Override
public Builder mergeFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws java.io.IOException {
if (extensionRegistry == null) {
throw new java.lang.NullPointerException();
}
try {
boolean done = false;
while (!done) {
int tag = input.readTag();
switch (tag) {
case 0:
done = true;
break;
case 10:
{
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric m =
input.readMessage(
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.parser(),
extensionRegistry);
if (metricsBuilder_ == null) {
ensureMetricsIsMutable();
metrics_.add(m);
} else {
metricsBuilder_.addMessage(m);
}
break;
} // case 10
default:
{
if (!super.parseUnknownField(input, extensionRegistry, tag)) {
done = true; // was an endgroup tag
}
break;
} // default:
} // switch (tag)
} // while (!done)
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.unwrapIOException();
} finally {
onChanged();
} // finally
return this;
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private int bitField0_;
private java.util.List metrics_ =
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private void ensureMetricsIsMutable() {
if (!((bitField0_ & 0x00000001) != 0)) {
metrics_ =
new java.util.ArrayList(
metrics_);
bitField0_ |= 0x00000001;
}
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder,
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder>
metricsBuilder_;
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public java.util.List
getMetricsList() {
if (metricsBuilder_ == null) {
return java.util.Collections.unmodifiableList(metrics_);
} else {
return metricsBuilder_.getMessageList();
}
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public int getMetricsCount() {
if (metricsBuilder_ == null) {
return metrics_.size();
} else {
return metricsBuilder_.getCount();
}
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric getMetrics(int index) {
if (metricsBuilder_ == null) {
return metrics_.get(index);
} else {
return metricsBuilder_.getMessage(index);
}
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setMetrics(
int index, com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric value) {
if (metricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureMetricsIsMutable();
metrics_.set(index, value);
onChanged();
} else {
metricsBuilder_.setMessage(index, value);
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setMetrics(
int index,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder builderForValue) {
if (metricsBuilder_ == null) {
ensureMetricsIsMutable();
metrics_.set(index, builderForValue.build());
onChanged();
} else {
metricsBuilder_.setMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder addMetrics(com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric value) {
if (metricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureMetricsIsMutable();
metrics_.add(value);
onChanged();
} else {
metricsBuilder_.addMessage(value);
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder addMetrics(
int index, com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric value) {
if (metricsBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
ensureMetricsIsMutable();
metrics_.add(index, value);
onChanged();
} else {
metricsBuilder_.addMessage(index, value);
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder addMetrics(
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder builderForValue) {
if (metricsBuilder_ == null) {
ensureMetricsIsMutable();
metrics_.add(builderForValue.build());
onChanged();
} else {
metricsBuilder_.addMessage(builderForValue.build());
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder addMetrics(
int index,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder builderForValue) {
if (metricsBuilder_ == null) {
ensureMetricsIsMutable();
metrics_.add(index, builderForValue.build());
onChanged();
} else {
metricsBuilder_.addMessage(index, builderForValue.build());
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder addAllMetrics(
java.lang.Iterable
values) {
if (metricsBuilder_ == null) {
ensureMetricsIsMutable();
com.google.protobuf.AbstractMessageLite.Builder.addAll(values, metrics_);
onChanged();
} else {
metricsBuilder_.addAllMessages(values);
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder clearMetrics() {
if (metricsBuilder_ == null) {
metrics_ = java.util.Collections.emptyList();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
} else {
metricsBuilder_.clear();
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder removeMetrics(int index) {
if (metricsBuilder_ == null) {
ensureMetricsIsMutable();
metrics_.remove(index);
onChanged();
} else {
metricsBuilder_.remove(index);
}
return this;
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder getMetricsBuilder(
int index) {
return getMetricsFieldBuilder().getBuilder(index);
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder getMetricsOrBuilder(
int index) {
if (metricsBuilder_ == null) {
return metrics_.get(index);
} else {
return metricsBuilder_.getMessageOrBuilder(index);
}
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public java.util.List<
? extends com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder>
getMetricsOrBuilderList() {
if (metricsBuilder_ != null) {
return metricsBuilder_.getMessageOrBuilderList();
} else {
return java.util.Collections.unmodifiableList(metrics_);
}
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder addMetricsBuilder() {
return getMetricsFieldBuilder()
.addBuilder(
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.getDefaultInstance());
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder addMetricsBuilder(
int index) {
return getMetricsFieldBuilder()
.addBuilder(
index, com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.getDefaultInstance());
}
/**
*
*
*
* Required. Metrics sources to enable.
*
*
*
* repeated .google.cloud.dataproc.v1.DataprocMetricConfig.Metric metrics = 1 [(.google.api.field_behavior) = REQUIRED];
*
*/
public java.util.List
getMetricsBuilderList() {
return getMetricsFieldBuilder().getBuilderList();
}
private com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder,
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder>
getMetricsFieldBuilder() {
if (metricsBuilder_ == null) {
metricsBuilder_ =
new com.google.protobuf.RepeatedFieldBuilderV3<
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric,
com.google.cloud.dataproc.v1.DataprocMetricConfig.Metric.Builder,
com.google.cloud.dataproc.v1.DataprocMetricConfig.MetricOrBuilder>(
metrics_, ((bitField0_ & 0x00000001) != 0), getParentForChildren(), isClean());
metrics_ = null;
}
return metricsBuilder_;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.dataproc.v1.DataprocMetricConfig)
}
// @@protoc_insertion_point(class_scope:google.cloud.dataproc.v1.DataprocMetricConfig)
private static final com.google.cloud.dataproc.v1.DataprocMetricConfig DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.dataproc.v1.DataprocMetricConfig();
}
public static com.google.cloud.dataproc.v1.DataprocMetricConfig getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public DataprocMetricConfig parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.dataproc.v1.DataprocMetricConfig getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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