/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file 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. */ package com.amazonaws.services.kinesisanalyticsv2.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *

* Describes updates to parameters for how an application executes multiple tasks simultaneously. *

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class ParallelismConfigurationUpdate implements Serializable, Cloneable, StructuredPojo { /** *

* Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, * or if a custom parallelism is used. You must set this property to CUSTOM in order to change your * application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU * properties. *

*/ private String configurationTypeUpdate; /** *

* Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the * maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by * requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. *

*/ private Integer parallelismUpdate; /** *

* Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) * used by the application. *

*/ private Integer parallelismPerKPUUpdate; /** *

* Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based * Kinesis Data Analytics application in response to increased throughput. *

*/ private Boolean autoScalingEnabledUpdate; /** *

* Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, * or if a custom parallelism is used. You must set this property to CUSTOM in order to change your * application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU * properties. *

* * @param configurationTypeUpdate * Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics * service, or if a custom parallelism is used. You must set this property to CUSTOM in order to * change your application's AutoScalingEnabled, Parallelism, or * ParallelismPerKPU properties. * @see ConfigurationType */ public void setConfigurationTypeUpdate(String configurationTypeUpdate) { this.configurationTypeUpdate = configurationTypeUpdate; } /** *

* Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, * or if a custom parallelism is used. You must set this property to CUSTOM in order to change your * application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU * properties. *

* * @return Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics * service, or if a custom parallelism is used. You must set this property to CUSTOM in order * to change your application's AutoScalingEnabled, Parallelism, or * ParallelismPerKPU properties. * @see ConfigurationType */ public String getConfigurationTypeUpdate() { return this.configurationTypeUpdate; } /** *

* Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, * or if a custom parallelism is used. You must set this property to CUSTOM in order to change your * application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU * properties. *

* * @param configurationTypeUpdate * Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics * service, or if a custom parallelism is used. You must set this property to CUSTOM in order to * change your application's AutoScalingEnabled, Parallelism, or * ParallelismPerKPU properties. * @return Returns a reference to this object so that method calls can be chained together. * @see ConfigurationType */ public ParallelismConfigurationUpdate withConfigurationTypeUpdate(String configurationTypeUpdate) { setConfigurationTypeUpdate(configurationTypeUpdate); return this; } /** *

* Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, * or if a custom parallelism is used. You must set this property to CUSTOM in order to change your * application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU * properties. *

* * @param configurationTypeUpdate * Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics * service, or if a custom parallelism is used. You must set this property to CUSTOM in order to * change your application's AutoScalingEnabled, Parallelism, or * ParallelismPerKPU properties. * @return Returns a reference to this object so that method calls can be chained together. * @see ConfigurationType */ public ParallelismConfigurationUpdate withConfigurationTypeUpdate(ConfigurationType configurationTypeUpdate) { this.configurationTypeUpdate = configurationTypeUpdate.toString(); return this; } /** *

* Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the * maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by * requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. *

* * @param parallelismUpdate * Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU * times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can * be increased by requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. */ public void setParallelismUpdate(Integer parallelismUpdate) { this.parallelismUpdate = parallelismUpdate; } /** *

* Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the * maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by * requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. *

* * @return Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU * times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can * be increased by requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. */ public Integer getParallelismUpdate() { return this.parallelismUpdate; } /** *

* Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the * maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by * requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. *

* * @param parallelismUpdate * Describes updates to the initial number of parallel tasks an application can perform. If * AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the * CurrentParallelism value in response to application load. The service can increase * CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU * times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can * be increased by requesting a limit increase. If application load is reduced, the service will reduce * CurrentParallelism down to the Parallelism setting. * @return Returns a reference to this object so that method calls can be chained together. */ public ParallelismConfigurationUpdate withParallelismUpdate(Integer parallelismUpdate) { setParallelismUpdate(parallelismUpdate); return this; } /** *

* Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) * used by the application. *

* * @param parallelismPerKPUUpdate * Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit * (KPU) used by the application. */ public void setParallelismPerKPUUpdate(Integer parallelismPerKPUUpdate) { this.parallelismPerKPUUpdate = parallelismPerKPUUpdate; } /** *

* Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) * used by the application. *

* * @return Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit * (KPU) used by the application. */ public Integer getParallelismPerKPUUpdate() { return this.parallelismPerKPUUpdate; } /** *

* Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) * used by the application. *

* * @param parallelismPerKPUUpdate * Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit * (KPU) used by the application. * @return Returns a reference to this object so that method calls can be chained together. */ public ParallelismConfigurationUpdate withParallelismPerKPUUpdate(Integer parallelismPerKPUUpdate) { setParallelismPerKPUUpdate(parallelismPerKPUUpdate); return this; } /** *

* Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based * Kinesis Data Analytics application in response to increased throughput. *

* * @param autoScalingEnabledUpdate * Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a * Flink-based Kinesis Data Analytics application in response to increased throughput. */ public void setAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate) { this.autoScalingEnabledUpdate = autoScalingEnabledUpdate; } /** *

* Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based * Kinesis Data Analytics application in response to increased throughput. *

* * @return Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a * Flink-based Kinesis Data Analytics application in response to increased throughput. */ public Boolean getAutoScalingEnabledUpdate() { return this.autoScalingEnabledUpdate; } /** *

* Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based * Kinesis Data Analytics application in response to increased throughput. *

* * @param autoScalingEnabledUpdate * Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a * Flink-based Kinesis Data Analytics application in response to increased throughput. * @return Returns a reference to this object so that method calls can be chained together. */ public ParallelismConfigurationUpdate withAutoScalingEnabledUpdate(Boolean autoScalingEnabledUpdate) { setAutoScalingEnabledUpdate(autoScalingEnabledUpdate); return this; } /** *

* Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based * Kinesis Data Analytics application in response to increased throughput. *

* * @return Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a * Flink-based Kinesis Data Analytics application in response to increased throughput. */ public Boolean isAutoScalingEnabledUpdate() { return this.autoScalingEnabledUpdate; } /** * Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be * redacted from this string using a placeholder value. * * @return A string representation of this object. * * @see java.lang.Object#toString() */ @Override public String toString() { StringBuilder sb = new StringBuilder(); sb.append("{"); if (getConfigurationTypeUpdate() != null) sb.append("ConfigurationTypeUpdate: ").append(getConfigurationTypeUpdate()).append(","); if (getParallelismUpdate() != null) sb.append("ParallelismUpdate: ").append(getParallelismUpdate()).append(","); if (getParallelismPerKPUUpdate() != null) sb.append("ParallelismPerKPUUpdate: ").append(getParallelismPerKPUUpdate()).append(","); if (getAutoScalingEnabledUpdate() != null) sb.append("AutoScalingEnabledUpdate: ").append(getAutoScalingEnabledUpdate()); sb.append("}"); return sb.toString(); } @Override public boolean equals(Object obj) { if (this == obj) return true; if (obj == null) return false; if (obj instanceof ParallelismConfigurationUpdate == false) return false; ParallelismConfigurationUpdate other = (ParallelismConfigurationUpdate) obj; if (other.getConfigurationTypeUpdate() == null ^ this.getConfigurationTypeUpdate() == null) return false; if (other.getConfigurationTypeUpdate() != null && other.getConfigurationTypeUpdate().equals(this.getConfigurationTypeUpdate()) == false) return false; if (other.getParallelismUpdate() == null ^ this.getParallelismUpdate() == null) return false; if (other.getParallelismUpdate() != null && other.getParallelismUpdate().equals(this.getParallelismUpdate()) == false) return false; if (other.getParallelismPerKPUUpdate() == null ^ this.getParallelismPerKPUUpdate() == null) return false; if (other.getParallelismPerKPUUpdate() != null && other.getParallelismPerKPUUpdate().equals(this.getParallelismPerKPUUpdate()) == false) return false; if (other.getAutoScalingEnabledUpdate() == null ^ this.getAutoScalingEnabledUpdate() == null) return false; if (other.getAutoScalingEnabledUpdate() != null && other.getAutoScalingEnabledUpdate().equals(this.getAutoScalingEnabledUpdate()) == false) return false; return true; } @Override public int hashCode() { final int prime = 31; int hashCode = 1; hashCode = prime * hashCode + ((getConfigurationTypeUpdate() == null) ? 0 : getConfigurationTypeUpdate().hashCode()); hashCode = prime * hashCode + ((getParallelismUpdate() == null) ? 0 : getParallelismUpdate().hashCode()); hashCode = prime * hashCode + ((getParallelismPerKPUUpdate() == null) ? 0 : getParallelismPerKPUUpdate().hashCode()); hashCode = prime * hashCode + ((getAutoScalingEnabledUpdate() == null) ? 0 : getAutoScalingEnabledUpdate().hashCode()); return hashCode; } @Override public ParallelismConfigurationUpdate clone() { try { return (ParallelismConfigurationUpdate) super.clone(); } catch (CloneNotSupportedException e) { throw new IllegalStateException("Got a CloneNotSupportedException from Object.clone() " + "even though we're Cloneable!", e); } } @com.amazonaws.annotation.SdkInternalApi @Override public void marshall(ProtocolMarshaller protocolMarshaller) { com.amazonaws.services.kinesisanalyticsv2.model.transform.ParallelismConfigurationUpdateMarshaller.getInstance().marshall(this, protocolMarshaller); } }