/*
* 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.protocol.StructuredPojo;
import com.amazonaws.protocol.ProtocolMarshaller;
/**
* <p>
* When you configure the application input, you specify the streaming source, the in-application stream name that is
* created, and the mapping between the two. For more information, see <a
* href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring Application
* Input</a>.
* </p>
*
* @see <a href="http://docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/Input" target="_top">AWS API
* Documentation</a>
*/
@Generated("com.amazonaws:aws-java-sdk-code-generator")
public class Input implements Serializable, Cloneable, StructuredPojo {
/**
* <p>
* Name prefix to use when creating in-application stream. Suppose you specify a prefix "MyInApplicationStream".
* Kinesis Analytics will then create one or more (as per the <code>InputParallelism</code> count you specified)
* in-application streams with names "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
* </p>
*/
private String namePrefix;
/**
* <p>
* If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN) and an
* IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*/
private KinesisStreamsInput kinesisStreamsInput;
/**
* <p>
* If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery stream's
* ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*/
private KinesisFirehoseInput kinesisFirehoseInput;
/**
* <p>
* Describes the number of in-application streams to create.
* </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
* </p>
*/
private InputParallelism inputParallelism;
/**
* <p>
* Describes the format of the data in the streaming source, and how each data element maps to corresponding columns
* in the in-application stream that is being created.
* </p>
* <p>
* Also used to describe the format of the reference data source.
* </p>
*/
private SourceSchema inputSchema;
/**
* <p>
* Name prefix to use when creating in-application stream. Suppose you specify a prefix "MyInApplicationStream".
* Kinesis Analytics will then create one or more (as per the <code>InputParallelism</code> count you specified)
* in-application streams with names "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
* </p>
*
* @param namePrefix
* Name prefix to use when creating in-application stream. Suppose you specify a prefix
* "MyInApplicationStream". Kinesis Analytics will then create one or more (as per the
* <code>InputParallelism</code> count you specified) in-application streams with names
* "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
*/
public void setNamePrefix(String namePrefix) {
this.namePrefix = namePrefix;
}
/**
* <p>
* Name prefix to use when creating in-application stream. Suppose you specify a prefix "MyInApplicationStream".
* Kinesis Analytics will then create one or more (as per the <code>InputParallelism</code> count you specified)
* in-application streams with names "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
* </p>
*
* @return Name prefix to use when creating in-application stream. Suppose you specify a prefix
* "MyInApplicationStream". Kinesis Analytics will then create one or more (as per the
* <code>InputParallelism</code> count you specified) in-application streams with names
* "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
*/
public String getNamePrefix() {
return this.namePrefix;
}
/**
* <p>
* Name prefix to use when creating in-application stream. Suppose you specify a prefix "MyInApplicationStream".
* Kinesis Analytics will then create one or more (as per the <code>InputParallelism</code> count you specified)
* in-application streams with names "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
* </p>
*
* @param namePrefix
* Name prefix to use when creating in-application stream. Suppose you specify a prefix
* "MyInApplicationStream". Kinesis Analytics will then create one or more (as per the
* <code>InputParallelism</code> count you specified) in-application streams with names
* "MyInApplicationStream_001", "MyInApplicationStream_002" and so on.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Input withNamePrefix(String namePrefix) {
setNamePrefix(namePrefix);
return this;
}
/**
* <p>
* If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN) and an
* IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*
* @param kinesisStreamsInput
* If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN)
* and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
*/
public void setKinesisStreamsInput(KinesisStreamsInput kinesisStreamsInput) {
this.kinesisStreamsInput = kinesisStreamsInput;
}
/**
* <p>
* If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN) and an
* IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*
* @return If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN)
* and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
*/
public KinesisStreamsInput getKinesisStreamsInput() {
return this.kinesisStreamsInput;
}
/**
* <p>
* If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN) and an
* IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*
* @param kinesisStreamsInput
* If the streaming source is an Amazon Kinesis stream, identifies the stream's Amazon Resource Name (ARN)
* and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Input withKinesisStreamsInput(KinesisStreamsInput kinesisStreamsInput) {
setKinesisStreamsInput(kinesisStreamsInput);
return this;
}
/**
* <p>
* If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery stream's
* ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*
* @param kinesisFirehoseInput
* If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery
* stream's ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
*/
public void setKinesisFirehoseInput(KinesisFirehoseInput kinesisFirehoseInput) {
this.kinesisFirehoseInput = kinesisFirehoseInput;
}
/**
* <p>
* If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery stream's
* ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*
* @return If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery
* stream's ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
*/
public KinesisFirehoseInput getKinesisFirehoseInput() {
return this.kinesisFirehoseInput;
}
/**
* <p>
* If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery stream's
* ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* </p>
*
* @param kinesisFirehoseInput
* If the streaming source is an Amazon Kinesis Firehose delivery stream, identifies the Firehose delivery
* stream's ARN and an IAM role that enables Amazon Kinesis Analytics to access the stream on your behalf.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Input withKinesisFirehoseInput(KinesisFirehoseInput kinesisFirehoseInput) {
setKinesisFirehoseInput(kinesisFirehoseInput);
return this;
}
/**
* <p>
* Describes the number of in-application streams to create.
* </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
* </p>
*
* @param inputParallelism
* Describes the number of in-application streams to create. </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
*/
public void setInputParallelism(InputParallelism inputParallelism) {
this.inputParallelism = inputParallelism;
}
/**
* <p>
* Describes the number of in-application streams to create.
* </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
* </p>
*
* @return Describes the number of in-application streams to create. </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
*/
public InputParallelism getInputParallelism() {
return this.inputParallelism;
}
/**
* <p>
* Describes the number of in-application streams to create.
* </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
* </p>
*
* @param inputParallelism
* Describes the number of in-application streams to create. </p>
* <p>
* Data from your source will be routed to these in-application input streams.
* </p>
* <p>
* (see <a href="http://docs.aws.amazon.com/kinesisanalytics/latest/dev/how-it-works-input.html">Configuring
* Application Input</a>.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Input withInputParallelism(InputParallelism inputParallelism) {
setInputParallelism(inputParallelism);
return this;
}
/**
* <p>
* Describes the format of the data in the streaming source, and how each data element maps to corresponding columns
* in the in-application stream that is being created.
* </p>
* <p>
* Also used to describe the format of the reference data source.
* </p>
*
* @param inputSchema
* Describes the format of the data in the streaming source, and how each data element maps to corresponding
* columns in the in-application stream that is being created.</p>
* <p>
* Also used to describe the format of the reference data source.
*/
public void setInputSchema(SourceSchema inputSchema) {
this.inputSchema = inputSchema;
}
/**
* <p>
* Describes the format of the data in the streaming source, and how each data element maps to corresponding columns
* in the in-application stream that is being created.
* </p>
* <p>
* Also used to describe the format of the reference data source.
* </p>
*
* @return Describes the format of the data in the streaming source, and how each data element maps to corresponding
* columns in the in-application stream that is being created.</p>
* <p>
* Also used to describe the format of the reference data source.
*/
public SourceSchema getInputSchema() {
return this.inputSchema;
}
/**
* <p>
* Describes the format of the data in the streaming source, and how each data element maps to corresponding columns
* in the in-application stream that is being created.
* </p>
* <p>
* Also used to describe the format of the reference data source.
* </p>
*
* @param inputSchema
* Describes the format of the data in the streaming source, and how each data element maps to corresponding
* columns in the in-application stream that is being created.</p>
* <p>
* Also used to describe the format of the reference data source.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public Input withInputSchema(SourceSchema inputSchema) {
setInputSchema(inputSchema);
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 (getNamePrefix() != null)
sb.append("NamePrefix: ").append(getNamePrefix()).append(",");
if (getKinesisStreamsInput() != null)
sb.append("KinesisStreamsInput: ").append(getKinesisStreamsInput()).append(",");
if (getKinesisFirehoseInput() != null)
sb.append("KinesisFirehoseInput: ").append(getKinesisFirehoseInput()).append(",");
if (getInputParallelism() != null)
sb.append("InputParallelism: ").append(getInputParallelism()).append(",");
if (getInputSchema() != null)
sb.append("InputSchema: ").append(getInputSchema());
sb.append("}");
return sb.toString();
}
@Override
public boolean equals(Object obj) {
if (this == obj)
return true;
if (obj == null)
return false;
if (obj instanceof Input == false)
return false;
Input other = (Input) obj;
if (other.getNamePrefix() == null ^ this.getNamePrefix() == null)
return false;
if (other.getNamePrefix() != null && other.getNamePrefix().equals(this.getNamePrefix()) == false)
return false;
if (other.getKinesisStreamsInput() == null ^ this.getKinesisStreamsInput() == null)
return false;
if (other.getKinesisStreamsInput() != null && other.getKinesisStreamsInput().equals(this.getKinesisStreamsInput()) == false)
return false;
if (other.getKinesisFirehoseInput() == null ^ this.getKinesisFirehoseInput() == null)
return false;
if (other.getKinesisFirehoseInput() != null && other.getKinesisFirehoseInput().equals(this.getKinesisFirehoseInput()) == false)
return false;
if (other.getInputParallelism() == null ^ this.getInputParallelism() == null)
return false;
if (other.getInputParallelism() != null && other.getInputParallelism().equals(this.getInputParallelism()) == false)
return false;
if (other.getInputSchema() == null ^ this.getInputSchema() == null)
return false;
if (other.getInputSchema() != null && other.getInputSchema().equals(this.getInputSchema()) == false)
return false;
return true;
}
@Override
public int hashCode() {
final int prime = 31;
int hashCode = 1;
hashCode = prime * hashCode + ((getNamePrefix() == null) ? 0 : getNamePrefix().hashCode());
hashCode = prime * hashCode + ((getKinesisStreamsInput() == null) ? 0 : getKinesisStreamsInput().hashCode());
hashCode = prime * hashCode + ((getKinesisFirehoseInput() == null) ? 0 : getKinesisFirehoseInput().hashCode());
hashCode = prime * hashCode + ((getInputParallelism() == null) ? 0 : getInputParallelism().hashCode());
hashCode = prime * hashCode + ((getInputSchema() == null) ? 0 : getInputSchema().hashCode());
return hashCode;
}
@Override
public Input clone() {
try {
return (Input) 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.kinesisanalytics.model.transform.InputMarshaller.getInstance().marshall(this, protocolMarshaller);
}
}