Input (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.kinesisanalyticsv2.model.Input

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class Input
extends Object
implements Serializable, Cloneable, StructuredPojo
```
When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

See Also:

AWS API Documentation, 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.
`InputProcessingConfiguration`	`getInputProcessingConfiguration()` The InputProcessingConfiguration for the input.
`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 Data Firehose delivery stream, identifies the delivery stream's ARN.
`KinesisStreamsInput`	`getKinesisStreamsInput()` If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
`String`	`getNamePrefix()` The name prefix to use when creating an in-application stream.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setInputParallelism(InputParallelism inputParallelism)` Describes the number of in-application streams to create.
`void`	`setInputProcessingConfiguration(InputProcessingConfiguration inputProcessingConfiguration)` The InputProcessingConfiguration for the input.
`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 Data Firehose delivery stream, identifies the delivery stream's ARN.
`void`	`setKinesisStreamsInput(KinesisStreamsInput kinesisStreamsInput)` If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
`void`	`setNamePrefix(String namePrefix)` The name prefix to use when creating an in-application stream.
`String`	`toString()` Returns a string representation of this object.
`Input`	`withInputParallelism(InputParallelism inputParallelism)` Describes the number of in-application streams to create.
`Input`	`withInputProcessingConfiguration(InputProcessingConfiguration inputProcessingConfiguration)` The InputProcessingConfiguration for the input.
`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 Data Firehose delivery stream, identifies the delivery stream's ARN.
`Input`	`withKinesisStreamsInput(KinesisStreamsInput kinesisStreamsInput)` If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
`Input`	`withNamePrefix(String namePrefix)` The name prefix to use when creating an 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)
```
    The name prefix to use when creating an in-application stream. Suppose that you specify a prefix " MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names " MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
    
    Parameters:
    
    namePrefix - The name prefix to use when creating an in-application stream. Suppose that you specify a prefix " MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names " MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
  - getNamePrefix
```
public String getNamePrefix()
```
    The name prefix to use when creating an in-application stream. Suppose that you specify a prefix " MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names " MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
    
    Returns:
    
    The name prefix to use when creating an in-application stream. Suppose that you specify a prefix " MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names " MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
  - withNamePrefix
```
public Input withNamePrefix(String namePrefix)
```
    The name prefix to use when creating an in-application stream. Suppose that you specify a prefix " MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names " MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
    
    Parameters:
    
    namePrefix - The name prefix to use when creating an in-application stream. Suppose that you specify a prefix " MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names " MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInputProcessingConfiguration
```
public void setInputProcessingConfiguration(InputProcessingConfiguration inputProcessingConfiguration)
```
    The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
    
    Parameters:
    
    inputProcessingConfiguration - The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
  - getInputProcessingConfiguration
```
public InputProcessingConfiguration getInputProcessingConfiguration()
```
    The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
    
    Returns:
    
    The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
  - withInputProcessingConfiguration
```
public Input withInputProcessingConfiguration(InputProcessingConfiguration inputProcessingConfiguration)
```
    The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
    
    Parameters:
    
    inputProcessingConfiguration - The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
    
    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 data stream, identifies the stream's Amazon Resource Name (ARN).
    
    Parameters:
    
    kinesisStreamsInput - If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
  - getKinesisStreamsInput
```
public KinesisStreamsInput getKinesisStreamsInput()
```
    If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
    
    Returns:
    
    If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
  - withKinesisStreamsInput
```
public Input withKinesisStreamsInput(KinesisStreamsInput kinesisStreamsInput)
```
    If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
    
    Parameters:
    
    kinesisStreamsInput - If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
    
    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 Data Firehose delivery stream, identifies the delivery stream's ARN.
    
    Parameters:
    
    kinesisFirehoseInput - If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
  - getKinesisFirehoseInput
```
public KinesisFirehoseInput getKinesisFirehoseInput()
```
    If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
    
    Returns:
    
    If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
  - withKinesisFirehoseInput
```
public Input withKinesisFirehoseInput(KinesisFirehoseInput kinesisFirehoseInput)
```
    If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
    
    Parameters:
    
    kinesisFirehoseInput - If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
    
    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.
    
    Parameters:
    
    inputParallelism - Describes the number of in-application streams to create.
  - getInputParallelism
```
public InputParallelism getInputParallelism()
```
    Describes the number of in-application streams to create.
    
    Returns:
    
    Describes the number of in-application streams to create.
  - withInputParallelism
```
public Input withInputParallelism(InputParallelism inputParallelism)
```
    Describes the number of in-application streams to create.
    
    Parameters:
    
    inputParallelism - Describes the number of in-application streams to create.
    
    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. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    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
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.780

Class Input

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

Input

Method Detail

setNamePrefix

getNamePrefix

withNamePrefix

setInputProcessingConfiguration

getInputProcessingConfiguration

withInputProcessingConfiguration

setKinesisStreamsInput

getKinesisStreamsInput

withKinesisStreamsInput

setKinesisFirehoseInput

getKinesisFirehoseInput

withKinesisFirehoseInput

setInputParallelism

getInputParallelism

withInputParallelism

setInputSchema

getInputSchema

withInputSchema

toString

equals

hashCode

clone

marshall