com.amazonaws.services.kinesisanalytics.model.Input Maven / Gradle / Ivy
/*
* Copyright 2011-2016 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;
/**
*
* 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 Configuring Application Input.
*
*/
public class Input implements Serializable, Cloneable {
/**
*
* 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 InputParallelism count you
* specified) in-application streams with names "MyInApplicationStream_001",
* "MyInApplicationStream_002" and so on.
*
*/
private String namePrefix;
/**
*
* 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.
*
*/
private KinesisStreamsInput kinesisStreamsInput;
/**
*
* 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.
*
*/
private KinesisFirehoseInput kinesisFirehoseInput;
/**
*
* Describes the number of in-application streams to create.
*
*
* Data from your source will be routed to these in-application input
* streams.
*
*
* (see Configuring Application Input.
*
*/
private InputParallelism inputParallelism;
/**
*
* 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.
*
*
* Also used to describe the format of the reference data source.
*
*/
private SourceSchema inputSchema;
/**
*
* 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 InputParallelism count you
* specified) in-application streams with names "MyInApplicationStream_001",
* "MyInApplicationStream_002" and so on.
*
*
* @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
* InputParallelism count you specified) in-application
* streams with names "MyInApplicationStream_001",
* "MyInApplicationStream_002" and so on.
*/
public void setNamePrefix(String namePrefix) {
this.namePrefix = 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 InputParallelism count you
* specified) in-application streams with names "MyInApplicationStream_001",
* "MyInApplicationStream_002" and so on.
*
*
* @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
* InputParallelism count you specified) in-application
* streams with names "MyInApplicationStream_001",
* "MyInApplicationStream_002" and so on.
*/
public String getNamePrefix() {
return this.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 InputParallelism count you
* specified) in-application streams with names "MyInApplicationStream_001",
* "MyInApplicationStream_002" and so on.
*
*
* @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
* InputParallelism 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;
}
/**
*
* 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.
*
*
* @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;
}
/**
*
* 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 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;
}
/**
*
* 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.
*
*
* @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;
}
/**
*
* 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.
*
*
* @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;
}
/**
*
* 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 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;
}
/**
*
* 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.
*
*
* @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;
}
/**
*
* Describes the number of in-application streams to create.
*
*
* Data from your source will be routed to these in-application input
* streams.
*
*
* (see Configuring Application Input.
*
*
* @param inputParallelism
* Describes the number of in-application streams to create.
*
* Data from your source will be routed to these in-application input
* streams.
*
*
* (see Configuring Application Input.
*/
public void setInputParallelism(InputParallelism inputParallelism) {
this.inputParallelism = inputParallelism;
}
/**
*
* Describes the number of in-application streams to create.
*
*
* Data from your source will be routed to these in-application input
* streams.
*
*
* (see Configuring Application Input.
*
*
* @return Describes the number of in-application streams to create.
*
* Data from your source will be routed to these in-application
* input streams.
*
*
* (see Configuring Application Input.
*/
public InputParallelism getInputParallelism() {
return this.inputParallelism;
}
/**
*
* Describes the number of in-application streams to create.
*
*
* Data from your source will be routed to these in-application input
* streams.
*
*
* (see Configuring Application Input.
*
*
* @param inputParallelism
* Describes the number of in-application streams to create.
*
* Data from your source will be routed to these in-application input
* streams.
*
*
* (see Configuring Application Input.
* @return Returns a reference to this object so that method calls can be
* chained together.
*/
public Input withInputParallelism(InputParallelism inputParallelism) {
setInputParallelism(inputParallelism);
return this;
}
/**
*
* 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.
*
*
* Also used to describe the format of the reference data source.
*
*
* @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.
*
* Also used to describe the format of the reference data source.
*/
public void setInputSchema(SourceSchema inputSchema) {
this.inputSchema = 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.
*
*
* Also used to describe the format of the reference data source.
*
*
* @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.
*
* Also used to describe the format of the reference data source.
*/
public SourceSchema getInputSchema() {
return this.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.
*
*
* Also used to describe the format of the reference data source.
*
*
* @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.
*
* 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: " + getNamePrefix() + ",");
if (getKinesisStreamsInput() != null)
sb.append("KinesisStreamsInput: " + getKinesisStreamsInput() + ",");
if (getKinesisFirehoseInput() != null)
sb.append("KinesisFirehoseInput: " + getKinesisFirehoseInput()
+ ",");
if (getInputParallelism() != null)
sb.append("InputParallelism: " + getInputParallelism() + ",");
if (getInputSchema() != null)
sb.append("InputSchema: " + 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);
}
}
}