/*
* Copyright 2012-2017 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.kinesisanalytics.model;
import java.io.Serializable;
import javax.annotation.Generated;
import com.amazonaws.AmazonWebServiceRequest;
/**
* <p>
* TBD
* </p>
*
* @see <a href="http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/CreateApplication" target="_top">AWS
* API Documentation</a>
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class CreateApplicationRequest extends com.amazonaws.AmazonWebServiceRequest implements Serializable, Cloneable {
/**
* <p>
* Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
* </p>
*/
private String applicationName;
/**
* <p>
* Summary description of the application.
* </p>
*/
private String applicationDescription;
/**
* <p>
* Use this parameter to configure the application input.
* </p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration, you
* map this streaming source to an in-application stream that is created. Your application code can then query the
* in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to read this
* stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a schematized
* version used in SQL. In the schema, you provide the necessary mapping of the data elements in the streaming
* source to record columns in the in-app stream.
* </p>
*/
private java.util.List<Input> inputs;
/**
* <p>
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.
* </p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name
* (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics
* can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data
* in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can
* assume to write to this stream on your behalf.
* </p>
*/
private java.util.List<Output> outputs;
/**
* <p>
* One or more SQL statements that read input data, transform it, and generate output. For example, you can write a
* SQL statement that reads input data and generates a running average of the number of advertisement clicks by
* vendor.
* </p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input for the
* next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>. For
* example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code> and
* <code>ExampleOutputStream2</code>, then your application code must create these streams.
* </p>
*/
private String applicationCode;
/**
* <p>
* Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
* </p>
*
* @param applicationName
* Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
*/
public void setApplicationName(String applicationName) {
this.applicationName = applicationName;
}
/**
* <p>
* Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
* </p>
*
* @return Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
*/
public String getApplicationName() {
return this.applicationName;
}
/**
* <p>
* Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
* </p>
*
* @param applicationName
* Name of your Amazon Kinesis Analytics application (for example, <code>sample-app</code>).
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withApplicationName(String applicationName) {
setApplicationName(applicationName);
return this;
}
/**
* <p>
* Summary description of the application.
* </p>
*
* @param applicationDescription
* Summary description of the application.
*/
public void setApplicationDescription(String applicationDescription) {
this.applicationDescription = applicationDescription;
}
/**
* <p>
* Summary description of the application.
* </p>
*
* @return Summary description of the application.
*/
public String getApplicationDescription() {
return this.applicationDescription;
}
/**
* <p>
* Summary description of the application.
* </p>
*
* @param applicationDescription
* Summary description of the application.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withApplicationDescription(String applicationDescription) {
setApplicationDescription(applicationDescription);
return this;
}
/**
* <p>
* Use this parameter to configure the application input.
* </p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration, you
* map this streaming source to an in-application stream that is created. Your application code can then query the
* in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to read this
* stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a schematized
* version used in SQL. In the schema, you provide the necessary mapping of the data elements in the streaming
* source to record columns in the in-app stream.
* </p>
*
* @return Use this parameter to configure the application input.</p>
* <p>
* You can configure your application to receive input from a single streaming source. In this
* configuration, you map this streaming source to an in-application stream that is created. Your
* application code can then query the in-application stream like a table (you can think of it as a
* constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream
* (for example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume
* to read this stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a
* schematized version used in SQL. In the schema, you provide the necessary mapping of the data elements in
* the streaming source to record columns in the in-app stream.
*/
public java.util.List<Input> getInputs() {
return inputs;
}
/**
* <p>
* Use this parameter to configure the application input.
* </p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration, you
* map this streaming source to an in-application stream that is created. Your application code can then query the
* in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to read this
* stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a schematized
* version used in SQL. In the schema, you provide the necessary mapping of the data elements in the streaming
* source to record columns in the in-app stream.
* </p>
*
* @param inputs
* Use this parameter to configure the application input.</p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration,
* you map this streaming source to an in-application stream that is created. Your application code can then
* query the in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to
* read this stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a
* schematized version used in SQL. In the schema, you provide the necessary mapping of the data elements in
* the streaming source to record columns in the in-app stream.
*/
public void setInputs(java.util.Collection<Input> inputs) {
if (inputs == null) {
this.inputs = null;
return;
}
this.inputs = new java.util.ArrayList<Input>(inputs);
}
/**
* <p>
* Use this parameter to configure the application input.
* </p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration, you
* map this streaming source to an in-application stream that is created. Your application code can then query the
* in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to read this
* stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a schematized
* version used in SQL. In the schema, you provide the necessary mapping of the data elements in the streaming
* source to record columns in the in-app stream.
* </p>
* <p>
* <b>NOTE:</b> This method appends the values to the existing list (if any). Use
* {@link #setInputs(java.util.Collection)} or {@link #withInputs(java.util.Collection)} if you want to override the
* existing values.
* </p>
*
* @param inputs
* Use this parameter to configure the application input.</p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration,
* you map this streaming source to an in-application stream that is created. Your application code can then
* query the in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to
* read this stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a
* schematized version used in SQL. In the schema, you provide the necessary mapping of the data elements in
* the streaming source to record columns in the in-app stream.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withInputs(Input... inputs) {
if (this.inputs == null) {
setInputs(new java.util.ArrayList<Input>(inputs.length));
}
for (Input ele : inputs) {
this.inputs.add(ele);
}
return this;
}
/**
* <p>
* Use this parameter to configure the application input.
* </p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration, you
* map this streaming source to an in-application stream that is created. Your application code can then query the
* in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to read this
* stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a schematized
* version used in SQL. In the schema, you provide the necessary mapping of the data elements in the streaming
* source to record columns in the in-app stream.
* </p>
*
* @param inputs
* Use this parameter to configure the application input.</p>
* <p>
* You can configure your application to receive input from a single streaming source. In this configuration,
* you map this streaming source to an in-application stream that is created. Your application code can then
* query the in-application stream like a table (you can think of it as a constantly updating table).
* </p>
* <p>
* For the streaming source, you provide its Amazon Resource Name (ARN) and format of data on the stream (for
* example, JSON, CSV, etc). You also must provide an IAM role that Amazon Kinesis Analytics can assume to
* read this stream on your behalf.
* </p>
* <p>
* To create the in-application stream, you need to specify a schema to transform your data into a
* schematized version used in SQL. In the schema, you provide the necessary mapping of the data elements in
* the streaming source to record columns in the in-app stream.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withInputs(java.util.Collection<Input> inputs) {
setInputs(inputs);
return this;
}
/**
* <p>
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.
* </p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name
* (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics
* can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data
* in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can
* assume to write to this stream on your behalf.
* </p>
*
* @return You can configure application output to write data from any of the in-application streams to up to five
* destinations.</p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource
* Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon
* Kinesis Analytics can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format
* of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis
* Analytics can assume to write to this stream on your behalf.
*/
public java.util.List<Output> getOutputs() {
return outputs;
}
/**
* <p>
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.
* </p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name
* (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics
* can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data
* in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can
* assume to write to this stream on your behalf.
* </p>
*
* @param outputs
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.</p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource
* Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis
* Analytics can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format
* of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis
* Analytics can assume to write to this stream on your behalf.
*/
public void setOutputs(java.util.Collection<Output> outputs) {
if (outputs == null) {
this.outputs = null;
return;
}
this.outputs = new java.util.ArrayList<Output>(outputs);
}
/**
* <p>
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.
* </p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name
* (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics
* can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data
* in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can
* assume to write to this stream on your behalf.
* </p>
* <p>
* <b>NOTE:</b> This method appends the values to the existing list (if any). Use
* {@link #setOutputs(java.util.Collection)} or {@link #withOutputs(java.util.Collection)} if you want to override
* the existing values.
* </p>
*
* @param outputs
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.</p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource
* Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis
* Analytics can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format
* of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis
* Analytics can assume to write to this stream on your behalf.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withOutputs(Output... outputs) {
if (this.outputs == null) {
setOutputs(new java.util.ArrayList<Output>(outputs.length));
}
for (Output ele : outputs) {
this.outputs.add(ele);
}
return this;
}
/**
* <p>
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.
* </p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource Name
* (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis Analytics
* can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format of data
* in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis Analytics can
* assume to write to this stream on your behalf.
* </p>
*
* @param outputs
* You can configure application output to write data from any of the in-application streams to up to five
* destinations.</p>
* <p>
* These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
* </p>
* <p>
* In the configuration, you specify the in-application stream name, the destination stream Amazon Resource
* Name (ARN), and the format to use when writing data. You must also provide an IAM role that Amazon Kinesis
* Analytics can assume to write to the destination stream on your behalf.
* </p>
* <p>
* In the output configuration, you also provide the output stream Amazon Resource Name (ARN) and the format
* of data in the stream (for example, JSON, CSV). You also must provide an IAM role that Amazon Kinesis
* Analytics can assume to write to this stream on your behalf.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withOutputs(java.util.Collection<Output> outputs) {
setOutputs(outputs);
return this;
}
/**
* <p>
* One or more SQL statements that read input data, transform it, and generate output. For example, you can write a
* SQL statement that reads input data and generates a running average of the number of advertisement clicks by
* vendor.
* </p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input for the
* next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>. For
* example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code> and
* <code>ExampleOutputStream2</code>, then your application code must create these streams.
* </p>
*
* @param applicationCode
* One or more SQL statements that read input data, transform it, and generate output. For example, you can
* write a SQL statement that reads input data and generates a running average of the number of advertisement
* clicks by vendor.</p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input
* for the next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>.
* For example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code>
* and <code>ExampleOutputStream2</code>, then your application code must create these streams.
*/
public void setApplicationCode(String applicationCode) {
this.applicationCode = applicationCode;
}
/**
* <p>
* One or more SQL statements that read input data, transform it, and generate output. For example, you can write a
* SQL statement that reads input data and generates a running average of the number of advertisement clicks by
* vendor.
* </p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input for the
* next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>. For
* example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code> and
* <code>ExampleOutputStream2</code>, then your application code must create these streams.
* </p>
*
* @return One or more SQL statements that read input data, transform it, and generate output. For example, you can
* write a SQL statement that reads input data and generates a running average of the number of
* advertisement clicks by vendor.</p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input
* for the next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>.
* For example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code>
* and <code>ExampleOutputStream2</code>, then your application code must create these streams.
*/
public String getApplicationCode() {
return this.applicationCode;
}
/**
* <p>
* One or more SQL statements that read input data, transform it, and generate output. For example, you can write a
* SQL statement that reads input data and generates a running average of the number of advertisement clicks by
* vendor.
* </p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input for the
* next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>. For
* example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code> and
* <code>ExampleOutputStream2</code>, then your application code must create these streams.
* </p>
*
* @param applicationCode
* One or more SQL statements that read input data, transform it, and generate output. For example, you can
* write a SQL statement that reads input data and generates a running average of the number of advertisement
* clicks by vendor.</p>
* <p>
* You can also provide a series of SQL statements, where output of one statement can be used as the input
* for the next statement.
* </p>
* <p>
* Note that the application code must create the streams with names specified in the <code>Outputs</code>.
* For example, if your <code>Outputs</code> defines output streams named <code>ExampleOutputStream1</code>
* and <code>ExampleOutputStream2</code>, then your application code must create these streams.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public CreateApplicationRequest withApplicationCode(String applicationCode) {
setApplicationCode(applicationCode);
return this;
}
/**
* Returns a string representation of this object; useful for testing and debugging.
*
* @return A string representation of this object.
*
* @see java.lang.Object#toString()
*/
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
sb.append("{");
if (getApplicationName() != null)
sb.append("ApplicationName: ").append(getApplicationName()).append(",");
if (getApplicationDescription() != null)
sb.append("ApplicationDescription: ").append(getApplicationDescription()).append(",");
if (getInputs() != null)
sb.append("Inputs: ").append(getInputs()).append(",");
if (getOutputs() != null)
sb.append("Outputs: ").append(getOutputs()).append(",");
if (getApplicationCode() != null)
sb.append("ApplicationCode: ").append(getApplicationCode());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof CreateApplicationRequest == false)
return false;
CreateApplicationRequest other = (CreateApplicationRequest) obj;
if (other.getApplicationName() == null ^ this.getApplicationName() == null)
return false;
if (other.getApplicationName() != null && other.getApplicationName().equals(this.getApplicationName()) == false)
return false;
if (other.getApplicationDescription() == null ^ this.getApplicationDescription() == null)
return false;
if (other.getApplicationDescription() != null && other.getApplicationDescription().equals(this.getApplicationDescription()) == false)
return false;
if (other.getInputs() == null ^ this.getInputs() == null)
return false;
if (other.getInputs() != null && other.getInputs().equals(this.getInputs()) == false)
return false;
if (other.getOutputs() == null ^ this.getOutputs() == null)
return false;
if (other.getOutputs() != null && other.getOutputs().equals(this.getOutputs()) == false)
return false;
if (other.getApplicationCode() == null ^ this.getApplicationCode() == null)
return false;
if (other.getApplicationCode() != null && other.getApplicationCode().equals(this.getApplicationCode()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getApplicationName() == null) ? 0 : getApplicationName().hashCode());
hashCode = prime * hashCode + ((getApplicationDescription() == null) ? 0 : getApplicationDescription().hashCode());
hashCode = prime * hashCode + ((getInputs() == null) ? 0 : getInputs().hashCode());
hashCode = prime * hashCode + ((getOutputs() == null) ? 0 : getOutputs().hashCode());
hashCode = prime * hashCode + ((getApplicationCode() == null) ? 0 : getApplicationCode().hashCode());
return hashCode;
}
@Override
public CreateApplicationRequest clone() {
return (CreateApplicationRequest) super.clone();
}
}