217 lines
10 KiB
C++
217 lines
10 KiB
C++
/**
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* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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* SPDX-License-Identifier: Apache-2.0.
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*/
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#pragma once
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#include <aws/kinesisanalyticsv2/KinesisAnalyticsV2_EXPORTS.h>
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#include <aws/kinesisanalyticsv2/model/ConfigurationType.h>
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#include <utility>
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namespace Aws
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{
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namespace Utils
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{
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namespace Json
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{
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class JsonValue;
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class JsonView;
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} // namespace Json
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} // namespace Utils
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namespace KinesisAnalyticsV2
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{
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namespace Model
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{
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/**
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* <p>Describes updates to parameters for how a Java-based Kinesis Data Analytics
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* application executes multiple tasks simultaneously.</p><p><h3>See Also:</h3>
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* <a
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* href="http://docs.aws.amazon.com/goto/WebAPI/kinesisanalyticsv2-2018-05-23/ParallelismConfigurationUpdate">AWS
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* API Reference</a></p>
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*/
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class AWS_KINESISANALYTICSV2_API ParallelismConfigurationUpdate
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{
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public:
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ParallelismConfigurationUpdate();
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ParallelismConfigurationUpdate(Aws::Utils::Json::JsonView jsonValue);
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ParallelismConfigurationUpdate& operator=(Aws::Utils::Json::JsonView jsonValue);
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Aws::Utils::Json::JsonValue Jsonize() const;
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/**
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* <p>Describes updates to whether the application uses the default parallelism for
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* the Kinesis Data Analytics service, or if a custom parallelism is used. You must
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* set this property to <code>CUSTOM</code> in order to change your application's
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* <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or
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* <code>ParallelismPerKPU</code> properties.</p>
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*/
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inline const ConfigurationType& GetConfigurationTypeUpdate() const{ return m_configurationTypeUpdate; }
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/**
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* <p>Describes updates to whether the application uses the default parallelism for
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* the Kinesis Data Analytics service, or if a custom parallelism is used. You must
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* set this property to <code>CUSTOM</code> in order to change your application's
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* <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or
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* <code>ParallelismPerKPU</code> properties.</p>
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*/
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inline bool ConfigurationTypeUpdateHasBeenSet() const { return m_configurationTypeUpdateHasBeenSet; }
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/**
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* <p>Describes updates to whether the application uses the default parallelism for
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* the Kinesis Data Analytics service, or if a custom parallelism is used. You must
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* set this property to <code>CUSTOM</code> in order to change your application's
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* <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or
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* <code>ParallelismPerKPU</code> properties.</p>
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*/
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inline void SetConfigurationTypeUpdate(const ConfigurationType& value) { m_configurationTypeUpdateHasBeenSet = true; m_configurationTypeUpdate = value; }
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/**
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* <p>Describes updates to whether the application uses the default parallelism for
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* the Kinesis Data Analytics service, or if a custom parallelism is used. You must
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* set this property to <code>CUSTOM</code> in order to change your application's
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* <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or
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* <code>ParallelismPerKPU</code> properties.</p>
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*/
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inline void SetConfigurationTypeUpdate(ConfigurationType&& value) { m_configurationTypeUpdateHasBeenSet = true; m_configurationTypeUpdate = std::move(value); }
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/**
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* <p>Describes updates to whether the application uses the default parallelism for
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* the Kinesis Data Analytics service, or if a custom parallelism is used. You must
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* set this property to <code>CUSTOM</code> in order to change your application's
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* <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or
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* <code>ParallelismPerKPU</code> properties.</p>
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*/
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inline ParallelismConfigurationUpdate& WithConfigurationTypeUpdate(const ConfigurationType& value) { SetConfigurationTypeUpdate(value); return *this;}
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/**
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* <p>Describes updates to whether the application uses the default parallelism for
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* the Kinesis Data Analytics service, or if a custom parallelism is used. You must
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* set this property to <code>CUSTOM</code> in order to change your application's
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* <code>AutoScalingEnabled</code>, <code>Parallelism</code>, or
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* <code>ParallelismPerKPU</code> properties.</p>
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*/
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inline ParallelismConfigurationUpdate& WithConfigurationTypeUpdate(ConfigurationType&& value) { SetConfigurationTypeUpdate(std::move(value)); return *this;}
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/**
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* <p>Describes updates to the initial number of parallel tasks an application can
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* perform. If <code>AutoScalingEnabled</code> is set to True, then Kinesis Data
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* Analytics can increase the <code>CurrentParallelism</code> value in response to
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* application load. The service can increase <code>CurrentParallelism</code> up to
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* the maximum parallelism, which is <code>ParalellismPerKPU</code> times the
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* maximum KPUs for the application. The maximum KPUs for an application is 32 by
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* default, and can be increased by requesting a limit increase. If application
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* load is reduced, the service will reduce <code>CurrentParallelism</code> down to
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* the <code>Parallelism</code> setting.</p>
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*/
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inline int GetParallelismUpdate() const{ return m_parallelismUpdate; }
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/**
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* <p>Describes updates to the initial number of parallel tasks an application can
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* perform. If <code>AutoScalingEnabled</code> is set to True, then Kinesis Data
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* Analytics can increase the <code>CurrentParallelism</code> value in response to
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* application load. The service can increase <code>CurrentParallelism</code> up to
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* the maximum parallelism, which is <code>ParalellismPerKPU</code> times the
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* maximum KPUs for the application. The maximum KPUs for an application is 32 by
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* default, and can be increased by requesting a limit increase. If application
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* load is reduced, the service will reduce <code>CurrentParallelism</code> down to
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* the <code>Parallelism</code> setting.</p>
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*/
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inline bool ParallelismUpdateHasBeenSet() const { return m_parallelismUpdateHasBeenSet; }
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/**
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* <p>Describes updates to the initial number of parallel tasks an application can
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* perform. If <code>AutoScalingEnabled</code> is set to True, then Kinesis Data
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* Analytics can increase the <code>CurrentParallelism</code> value in response to
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* application load. The service can increase <code>CurrentParallelism</code> up to
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* the maximum parallelism, which is <code>ParalellismPerKPU</code> times the
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* maximum KPUs for the application. The maximum KPUs for an application is 32 by
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* default, and can be increased by requesting a limit increase. If application
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* load is reduced, the service will reduce <code>CurrentParallelism</code> down to
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* the <code>Parallelism</code> setting.</p>
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*/
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inline void SetParallelismUpdate(int value) { m_parallelismUpdateHasBeenSet = true; m_parallelismUpdate = value; }
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/**
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* <p>Describes updates to the initial number of parallel tasks an application can
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* perform. If <code>AutoScalingEnabled</code> is set to True, then Kinesis Data
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* Analytics can increase the <code>CurrentParallelism</code> value in response to
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* application load. The service can increase <code>CurrentParallelism</code> up to
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* the maximum parallelism, which is <code>ParalellismPerKPU</code> times the
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* maximum KPUs for the application. The maximum KPUs for an application is 32 by
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* default, and can be increased by requesting a limit increase. If application
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* load is reduced, the service will reduce <code>CurrentParallelism</code> down to
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* the <code>Parallelism</code> setting.</p>
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*/
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inline ParallelismConfigurationUpdate& WithParallelismUpdate(int value) { SetParallelismUpdate(value); return *this;}
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/**
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* <p>Describes updates to the number of parallel tasks an application can perform
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* per Kinesis Processing Unit (KPU) used by the application.</p>
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*/
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inline int GetParallelismPerKPUUpdate() const{ return m_parallelismPerKPUUpdate; }
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/**
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* <p>Describes updates to the number of parallel tasks an application can perform
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* per Kinesis Processing Unit (KPU) used by the application.</p>
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*/
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inline bool ParallelismPerKPUUpdateHasBeenSet() const { return m_parallelismPerKPUUpdateHasBeenSet; }
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/**
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* <p>Describes updates to the number of parallel tasks an application can perform
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* per Kinesis Processing Unit (KPU) used by the application.</p>
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*/
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inline void SetParallelismPerKPUUpdate(int value) { m_parallelismPerKPUUpdateHasBeenSet = true; m_parallelismPerKPUUpdate = value; }
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/**
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* <p>Describes updates to the number of parallel tasks an application can perform
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* per Kinesis Processing Unit (KPU) used by the application.</p>
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*/
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inline ParallelismConfigurationUpdate& WithParallelismPerKPUUpdate(int value) { SetParallelismPerKPUUpdate(value); return *this;}
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/**
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* <p>Describes updates to whether the Kinesis Data Analytics service can increase
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* the parallelism of the application in response to increased throughput.</p>
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*/
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inline bool GetAutoScalingEnabledUpdate() const{ return m_autoScalingEnabledUpdate; }
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/**
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* <p>Describes updates to whether the Kinesis Data Analytics service can increase
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* the parallelism of the application in response to increased throughput.</p>
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*/
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inline bool AutoScalingEnabledUpdateHasBeenSet() const { return m_autoScalingEnabledUpdateHasBeenSet; }
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/**
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* <p>Describes updates to whether the Kinesis Data Analytics service can increase
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* the parallelism of the application in response to increased throughput.</p>
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*/
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inline void SetAutoScalingEnabledUpdate(bool value) { m_autoScalingEnabledUpdateHasBeenSet = true; m_autoScalingEnabledUpdate = value; }
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/**
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* <p>Describes updates to whether the Kinesis Data Analytics service can increase
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* the parallelism of the application in response to increased throughput.</p>
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*/
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inline ParallelismConfigurationUpdate& WithAutoScalingEnabledUpdate(bool value) { SetAutoScalingEnabledUpdate(value); return *this;}
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private:
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ConfigurationType m_configurationTypeUpdate;
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bool m_configurationTypeUpdateHasBeenSet;
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int m_parallelismUpdate;
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bool m_parallelismUpdateHasBeenSet;
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int m_parallelismPerKPUUpdate;
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bool m_parallelismPerKPUUpdateHasBeenSet;
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bool m_autoScalingEnabledUpdate;
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bool m_autoScalingEnabledUpdateHasBeenSet;
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};
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} // namespace Model
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} // namespace KinesisAnalyticsV2
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} // namespace Aws
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