Input (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.kinesisanalytics.model.Input

All Implemented Interfaces:

Serializable, Cloneable
```
public class Input
extends Object
implements Serializable, Cloneable
```
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.

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor and Description

Input()

Constructors
Constructor and Description
`Input()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Input`	`clone()`
`boolean`	`equals(Object obj)`
`InputParallelism`	`getInputParallelism()` Describes the number of in-application streams to create.
`SourceSchema`	`getInputSchema()` 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.
`KinesisFirehoseInput`	`getKinesisFirehoseInput()` 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.
`KinesisStreamsInput`	`getKinesisStreamsInput()` 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.
`String`	`getNamePrefix()` Name prefix to use when creating in-application stream.
`int`	`hashCode()`
`void`	`setInputParallelism(InputParallelism inputParallelism)` Describes the number of in-application streams to create.
`void`	`setInputSchema(SourceSchema 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.
`void`	`setKinesisFirehoseInput(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.
`void`	`setKinesisStreamsInput(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.
`void`	`setNamePrefix(String namePrefix)` Name prefix to use when creating in-application stream.
`String`	`toString()` Returns a string representation of this object; useful for testing and debugging.
`Input`	`withInputParallelism(InputParallelism inputParallelism)` Describes the number of in-application streams to create.
`Input`	`withInputSchema(SourceSchema 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.
`Input`	`withKinesisFirehoseInput(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.
`Input`	`withKinesisStreamsInput(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.
`Input`	`withNamePrefix(String namePrefix)` Name prefix to use when creating in-application stream.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - Input
```
public Input()
```
- Method Detail
  - setNamePrefix
```
public void setNamePrefix(String 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.
    
    Parameters:
    
    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.
  - getNamePrefix
```
public String getNamePrefix()
```
    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.
    
    Returns:
    
    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.
  - withNamePrefix
```
public Input withNamePrefix(String 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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setKinesisStreamsInput
```
public void setKinesisStreamsInput(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.
    
    Parameters:
    
    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.
  - getKinesisStreamsInput
```
public KinesisStreamsInput getKinesisStreamsInput()
```
    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.
    
    Returns:
    
    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.
  - withKinesisStreamsInput
```
public Input withKinesisStreamsInput(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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setKinesisFirehoseInput
```
public void setKinesisFirehoseInput(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.
    
    Parameters:
    
    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.
  - getKinesisFirehoseInput
```
public KinesisFirehoseInput getKinesisFirehoseInput()
```
    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.
    
    Returns:
    
    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.
  - withKinesisFirehoseInput
```
public Input withKinesisFirehoseInput(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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInputParallelism
```
public void setInputParallelism(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.
    
    Parameters:
    
    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.
  - getInputParallelism
```
public InputParallelism getInputParallelism()
```
    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.
    
    Returns:
    
    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.
  - withInputParallelism
```
public Input withInputParallelism(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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInputSchema
```
public void setInputSchema(SourceSchema 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.
    
    Parameters:
    
    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.
  - getInputSchema
```
public SourceSchema getInputSchema()
```
    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.
    
    Returns:
    
    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.
  - withInputSchema
```
public Input withInputSchema(SourceSchema 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.
    
    Parameters:
    
    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.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object; useful for testing and debugging.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public Input clone()
```
    Overrides:
    
    clone in class Object

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Class Input

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Input

Method Detail

setNamePrefix

getNamePrefix

withNamePrefix

setKinesisStreamsInput

getKinesisStreamsInput

withKinesisStreamsInput

setKinesisFirehoseInput

getKinesisFirehoseInput

withKinesisFirehoseInput

setInputParallelism

getInputParallelism

withInputParallelism

setInputSchema

getInputSchema

withInputSchema

toString

equals

hashCode

clone