289 lines
8.0 KiB
C++
289 lines
8.0 KiB
C++
/*
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* Copyright 2009-2017 Alibaba Cloud All rights reserved.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#include <alibabacloud/ess/model/ModifyScalingRuleRequest.h>
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using AlibabaCloud::Ess::Model::ModifyScalingRuleRequest;
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ModifyScalingRuleRequest::ModifyScalingRuleRequest() :
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RpcServiceRequest("ess", "2014-08-28", "ModifyScalingRule")
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{
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setMethod(HttpRequest::Method::Post);
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}
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ModifyScalingRuleRequest::~ModifyScalingRuleRequest()
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{}
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long ModifyScalingRuleRequest::getResourceOwnerId()const
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{
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return resourceOwnerId_;
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}
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void ModifyScalingRuleRequest::setResourceOwnerId(long resourceOwnerId)
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{
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resourceOwnerId_ = resourceOwnerId;
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setParameter("ResourceOwnerId", std::to_string(resourceOwnerId));
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}
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std::vector<ModifyScalingRuleRequest::StepAdjustment> ModifyScalingRuleRequest::getStepAdjustment()const
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{
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return stepAdjustment_;
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}
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void ModifyScalingRuleRequest::setStepAdjustment(const std::vector<StepAdjustment>& stepAdjustment)
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{
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stepAdjustment_ = stepAdjustment;
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for(int dep1 = 0; dep1!= stepAdjustment.size(); dep1++) {
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auto stepAdjustmentObj = stepAdjustment.at(dep1);
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std::string stepAdjustmentObjStr = "StepAdjustment." + std::to_string(dep1 + 1);
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setParameter(stepAdjustmentObjStr + ".MetricIntervalLowerBound", std::to_string(stepAdjustmentObj.metricIntervalLowerBound));
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setParameter(stepAdjustmentObjStr + ".MetricIntervalUpperBound", std::to_string(stepAdjustmentObj.metricIntervalUpperBound));
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setParameter(stepAdjustmentObjStr + ".ScalingAdjustment", std::to_string(stepAdjustmentObj.scalingAdjustment));
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}
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}
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bool ModifyScalingRuleRequest::getDisableScaleIn()const
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{
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return disableScaleIn_;
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}
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void ModifyScalingRuleRequest::setDisableScaleIn(bool disableScaleIn)
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{
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disableScaleIn_ = disableScaleIn;
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setParameter("DisableScaleIn", disableScaleIn ? "true" : "false");
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}
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std::string ModifyScalingRuleRequest::getScalingRuleId()const
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{
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return scalingRuleId_;
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}
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void ModifyScalingRuleRequest::setScalingRuleId(const std::string& scalingRuleId)
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{
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scalingRuleId_ = scalingRuleId;
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setParameter("ScalingRuleId", scalingRuleId);
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}
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int ModifyScalingRuleRequest::getInitialMaxSize()const
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{
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return initialMaxSize_;
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}
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void ModifyScalingRuleRequest::setInitialMaxSize(int initialMaxSize)
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{
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initialMaxSize_ = initialMaxSize;
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setParameter("InitialMaxSize", std::to_string(initialMaxSize));
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}
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std::string ModifyScalingRuleRequest::getAccessKeyId()const
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{
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return accessKeyId_;
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}
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void ModifyScalingRuleRequest::setAccessKeyId(const std::string& accessKeyId)
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{
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accessKeyId_ = accessKeyId;
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setParameter("AccessKeyId", accessKeyId);
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}
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std::string ModifyScalingRuleRequest::getScalingRuleName()const
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{
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return scalingRuleName_;
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}
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void ModifyScalingRuleRequest::setScalingRuleName(const std::string& scalingRuleName)
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{
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scalingRuleName_ = scalingRuleName;
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setParameter("ScalingRuleName", scalingRuleName);
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}
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int ModifyScalingRuleRequest::getCooldown()const
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{
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return cooldown_;
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}
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void ModifyScalingRuleRequest::setCooldown(int cooldown)
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{
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cooldown_ = cooldown;
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setParameter("Cooldown", std::to_string(cooldown));
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}
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std::string ModifyScalingRuleRequest::getPredictiveValueBehavior()const
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{
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return predictiveValueBehavior_;
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}
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void ModifyScalingRuleRequest::setPredictiveValueBehavior(const std::string& predictiveValueBehavior)
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{
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predictiveValueBehavior_ = predictiveValueBehavior;
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setParameter("PredictiveValueBehavior", predictiveValueBehavior);
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}
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int ModifyScalingRuleRequest::getScaleInEvaluationCount()const
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{
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return scaleInEvaluationCount_;
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}
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void ModifyScalingRuleRequest::setScaleInEvaluationCount(int scaleInEvaluationCount)
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{
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scaleInEvaluationCount_ = scaleInEvaluationCount;
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setParameter("ScaleInEvaluationCount", std::to_string(scaleInEvaluationCount));
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}
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std::string ModifyScalingRuleRequest::getMetricName()const
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{
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return metricName_;
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}
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void ModifyScalingRuleRequest::setMetricName(const std::string& metricName)
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{
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metricName_ = metricName;
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setParameter("MetricName", metricName);
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}
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std::string ModifyScalingRuleRequest::getPredictiveScalingMode()const
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{
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return predictiveScalingMode_;
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}
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void ModifyScalingRuleRequest::setPredictiveScalingMode(const std::string& predictiveScalingMode)
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{
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predictiveScalingMode_ = predictiveScalingMode;
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setParameter("PredictiveScalingMode", predictiveScalingMode);
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}
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std::string ModifyScalingRuleRequest::getResourceOwnerAccount()const
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{
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return resourceOwnerAccount_;
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}
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void ModifyScalingRuleRequest::setResourceOwnerAccount(const std::string& resourceOwnerAccount)
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{
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resourceOwnerAccount_ = resourceOwnerAccount;
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setParameter("ResourceOwnerAccount", resourceOwnerAccount);
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}
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int ModifyScalingRuleRequest::getAdjustmentValue()const
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{
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return adjustmentValue_;
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}
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void ModifyScalingRuleRequest::setAdjustmentValue(int adjustmentValue)
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{
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adjustmentValue_ = adjustmentValue;
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setParameter("AdjustmentValue", std::to_string(adjustmentValue));
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}
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int ModifyScalingRuleRequest::getEstimatedInstanceWarmup()const
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{
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return estimatedInstanceWarmup_;
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}
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void ModifyScalingRuleRequest::setEstimatedInstanceWarmup(int estimatedInstanceWarmup)
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{
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estimatedInstanceWarmup_ = estimatedInstanceWarmup;
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setParameter("EstimatedInstanceWarmup", std::to_string(estimatedInstanceWarmup));
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}
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std::string ModifyScalingRuleRequest::getOwnerAccount()const
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{
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return ownerAccount_;
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}
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void ModifyScalingRuleRequest::setOwnerAccount(const std::string& ownerAccount)
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{
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ownerAccount_ = ownerAccount;
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setParameter("OwnerAccount", ownerAccount);
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}
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int ModifyScalingRuleRequest::getPredictiveTaskBufferTime()const
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{
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return predictiveTaskBufferTime_;
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}
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void ModifyScalingRuleRequest::setPredictiveTaskBufferTime(int predictiveTaskBufferTime)
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{
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predictiveTaskBufferTime_ = predictiveTaskBufferTime;
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setParameter("PredictiveTaskBufferTime", std::to_string(predictiveTaskBufferTime));
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}
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std::string ModifyScalingRuleRequest::getAdjustmentType()const
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{
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return adjustmentType_;
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}
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void ModifyScalingRuleRequest::setAdjustmentType(const std::string& adjustmentType)
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{
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adjustmentType_ = adjustmentType;
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setParameter("AdjustmentType", adjustmentType);
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}
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long ModifyScalingRuleRequest::getOwnerId()const
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{
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return ownerId_;
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}
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void ModifyScalingRuleRequest::setOwnerId(long ownerId)
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{
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ownerId_ = ownerId;
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setParameter("OwnerId", std::to_string(ownerId));
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}
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int ModifyScalingRuleRequest::getPredictiveValueBuffer()const
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{
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return predictiveValueBuffer_;
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}
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void ModifyScalingRuleRequest::setPredictiveValueBuffer(int predictiveValueBuffer)
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{
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predictiveValueBuffer_ = predictiveValueBuffer;
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setParameter("PredictiveValueBuffer", std::to_string(predictiveValueBuffer));
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}
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int ModifyScalingRuleRequest::getScaleOutEvaluationCount()const
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{
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return scaleOutEvaluationCount_;
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}
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void ModifyScalingRuleRequest::setScaleOutEvaluationCount(int scaleOutEvaluationCount)
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{
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scaleOutEvaluationCount_ = scaleOutEvaluationCount;
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setParameter("ScaleOutEvaluationCount", std::to_string(scaleOutEvaluationCount));
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}
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int ModifyScalingRuleRequest::getMinAdjustmentMagnitude()const
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{
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return minAdjustmentMagnitude_;
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}
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void ModifyScalingRuleRequest::setMinAdjustmentMagnitude(int minAdjustmentMagnitude)
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{
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minAdjustmentMagnitude_ = minAdjustmentMagnitude;
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setParameter("MinAdjustmentMagnitude", std::to_string(minAdjustmentMagnitude));
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}
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float ModifyScalingRuleRequest::getTargetValue()const
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{
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return targetValue_;
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}
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void ModifyScalingRuleRequest::setTargetValue(float targetValue)
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{
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targetValue_ = targetValue;
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setParameter("TargetValue", std::to_string(targetValue));
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}
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