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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/bigtable/v2/bigtable.proto
// Protobuf Java Version: 3.25.2
package com.google.bigtable.v2;
/**
*
*
*
* Information about how client should adjust the load to Bigtable.
*
*
* Protobuf type {@code google.bigtable.v2.RateLimitInfo}
*/
public final class RateLimitInfo extends com.google.protobuf.GeneratedMessageV3
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// @@protoc_insertion_point(message_implements:google.bigtable.v2.RateLimitInfo)
RateLimitInfoOrBuilder {
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private RateLimitInfo(com.google.protobuf.GeneratedMessageV3.Builder builder) {
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public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
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/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
*
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*
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/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
*
* .google.protobuf.Duration period = 1;
*
* @return The period.
*/
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/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
*
* .google.protobuf.Duration period = 1;
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/**
*
*
*
* If it has been at least one `period` since the last load adjustment, the
* client should multiply the current load by this value to get the new target
* load. For example, if the current load is 100 and `factor` is 0.8, the new
* target load should be 80. After adjusting, the client should ignore
* `factor` until another `period` has passed.
*
* The client can measure its load using any unit that's comparable over time
* For example, QPS can be used as long as each request involves a similar
* amount of work.
*
*
* double factor = 2;
*
* @return The factor.
*/
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(com.google.protobuf.ByteString data)
throws com.google.protobuf.InvalidProtocolBufferException {
return PARSER.parseFrom(data);
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(
com.google.protobuf.ByteString data,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return PARSER.parseFrom(data, extensionRegistry);
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(byte[] data)
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(
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return PARSER.parseFrom(data, extensionRegistry);
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(java.io.InputStream input)
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(
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return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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public static com.google.bigtable.v2.RateLimitInfo parseDelimitedFrom(
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return com.google.protobuf.GeneratedMessageV3.parseDelimitedWithIOException(
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public static com.google.bigtable.v2.RateLimitInfo parseFrom(
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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return com.google.protobuf.GeneratedMessageV3.parseWithIOException(
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public static Builder newBuilder(com.google.bigtable.v2.RateLimitInfo prototype) {
return DEFAULT_INSTANCE.toBuilder().mergeFrom(prototype);
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@java.lang.Override
protected Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
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/**
*
*
*
* Information about how client should adjust the load to Bigtable.
*
*
* Protobuf type {@code google.bigtable.v2.RateLimitInfo}
*/
public static final class Builder extends com.google.protobuf.GeneratedMessageV3.Builder
implements
// @@protoc_insertion_point(builder_implements:google.bigtable.v2.RateLimitInfo)
com.google.bigtable.v2.RateLimitInfoOrBuilder {
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.bigtable.v2.BigtableProto
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}
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com.google.bigtable.v2.RateLimitInfo.class,
com.google.bigtable.v2.RateLimitInfo.Builder.class);
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// Construct using com.google.bigtable.v2.RateLimitInfo.newBuilder()
private Builder() {
maybeForceBuilderInitialization();
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private Builder(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) {
super(parent);
maybeForceBuilderInitialization();
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private void maybeForceBuilderInitialization() {
if (com.google.protobuf.GeneratedMessageV3.alwaysUseFieldBuilders) {
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period_ = null;
if (periodBuilder_ != null) {
periodBuilder_.dispose();
periodBuilder_ = null;
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factor_ = 0D;
return this;
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@java.lang.Override
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@java.lang.Override
public com.google.bigtable.v2.RateLimitInfo buildPartial() {
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buildPartial0(result);
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onBuilt();
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private void buildPartial0(com.google.bigtable.v2.RateLimitInfo result) {
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@java.lang.Override
public Builder setField(
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} else {
super.mergeFrom(other);
return this;
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}
public Builder mergeFrom(com.google.bigtable.v2.RateLimitInfo other) {
if (other == com.google.bigtable.v2.RateLimitInfo.getDefaultInstance()) return this;
if (other.hasPeriod()) {
mergePeriod(other.getPeriod());
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if (other.getFactor() != 0D) {
setFactor(other.getFactor());
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this.mergeUnknownFields(other.getUnknownFields());
onChanged();
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com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
*
* .google.protobuf.Duration period = 1;
*
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*/
public boolean hasPeriod() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
*
* .google.protobuf.Duration period = 1;
*
* @return The period.
*/
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if (periodBuilder_ == null) {
return period_ == null ? com.google.protobuf.Duration.getDefaultInstance() : period_;
} else {
return periodBuilder_.getMessage();
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}
/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
*
* .google.protobuf.Duration period = 1;
*/
public Builder setPeriod(com.google.protobuf.Duration value) {
if (periodBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
period_ = value;
} else {
periodBuilder_.setMessage(value);
}
bitField0_ |= 0x00000001;
onChanged();
return this;
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/**
*
*
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
* Time that clients should wait before adjusting the target rate again.
* If clients adjust rate too frequently, the impact of the previous
* adjustment may not have been taken into account and may
* over-throttle or under-throttle. If clients adjust rate too slowly, they
* will not be responsive to load changes on server side, and may
* over-throttle or under-throttle.
*
* If it has been at least one `period` since the last load adjustment, the
* client should multiply the current load by this value to get the new target
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* `factor` until another `period` has passed.
*
* The client can measure its load using any unit that's comparable over time
* For example, QPS can be used as long as each request involves a similar
* amount of work.
*
* If it has been at least one `period` since the last load adjustment, the
* client should multiply the current load by this value to get the new target
* load. For example, if the current load is 100 and `factor` is 0.8, the new
* target load should be 80. After adjusting, the client should ignore
* `factor` until another `period` has passed.
*
* The client can measure its load using any unit that's comparable over time
* For example, QPS can be used as long as each request involves a similar
* amount of work.
*
*
* double factor = 2;
*
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* @return This builder for chaining.
*/
public Builder setFactor(double value) {
factor_ = value;
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* If it has been at least one `period` since the last load adjustment, the
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* target load should be 80. After adjusting, the client should ignore
* `factor` until another `period` has passed.
*
* The client can measure its load using any unit that's comparable over time
* For example, QPS can be used as long as each request involves a similar
* amount of work.
*
*
* double factor = 2;
*
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public Builder clearFactor() {
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factor_ = 0D;
onChanged();
return this;
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@java.lang.Override
public final Builder mergeUnknownFields(
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// @@protoc_insertion_point(builder_scope:google.bigtable.v2.RateLimitInfo)
}
// @@protoc_insertion_point(class_scope:google.bigtable.v2.RateLimitInfo)
private static final com.google.bigtable.v2.RateLimitInfo DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.bigtable.v2.RateLimitInfo();
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public static com.google.bigtable.v2.RateLimitInfo getDefaultInstance() {
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public static com.google.protobuf.Parser parser() {
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@java.lang.Override
public com.google.bigtable.v2.RateLimitInfo getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
