def create_application(ApplicationName=None, ApplicationDescription=None,
    Inputs=None, Outputs=None, ApplicationCode=None):
    """
    Creates an Amazon Kinesis Analytics application. You can configure each application with one streaming source as input, application code to process the input, and up to five streaming destinations where you want Amazon Kinesis Analytics to write the output data from your application. For an overview, see How it Works .
    In the input configuration, you map the streaming source to an in-application stream, which you can think of as a constantly updating table. In the mapping, you must provide a schema for the in-application stream and map each data column in the in-application stream to a data element in the streaming source, with the option of renaming, casting and dropping columns as desired.
    Your application code is one or more SQL statements that read input data, transform it, and generate output. Your application code can create one or more SQL artifacts like SQL streams or pumps.
    In the output configuration, you can configure the application to write data from in-application streams created in your applications to up to five streaming destinations.
    To read data from your source stream or write data to destination streams, Amazon Kinesis Analytics needs your permissions. You grant these permissions by creating IAM roles. This operation requires permissions to perform the kinesisanalytics:CreateApplication action.
    For introductory exercises to create an Amazon Kinesis Analytics application, see Getting Started .
    See also: AWS API Documentation
    
    
    :example: response = client.create_application(
        ApplicationName='string',
        ApplicationDescription='string',
        Inputs=[
            {
                'NamePrefix': 'string',
                'KinesisStreamsInput': {
                    'ResourceARN': 'string',
                    'RoleARN': 'string'
                },
                'KinesisFirehoseInput': {
                    'ResourceARN': 'string',
                    'RoleARN': 'string'
                },
                'InputParallelism': {
                    'Count': 123
                },
                'InputSchema': {
                    'RecordFormat': {
                        'RecordFormatType': 'JSON'|'CSV',
                        'MappingParameters': {
                            'JSONMappingParameters': {
                                'RecordRowPath': 'string'
                            },
                            'CSVMappingParameters': {
                                'RecordRowDelimiter': 'string',
                                'RecordColumnDelimiter': 'string'
                            }
                        }
                    },
                    'RecordEncoding': 'string',
                    'RecordColumns': [
                        {
                            'Name': 'string',
                            'Mapping': 'string',
                            'SqlType': 'string'
                        },
                    ]
                }
            },
        ],
        Outputs=[
            {
                'Name': 'string',
                'KinesisStreamsOutput': {
                    'ResourceARN': 'string',
                    'RoleARN': 'string'
                },
                'KinesisFirehoseOutput': {
                    'ResourceARN': 'string',
                    'RoleARN': 'string'
                },
                'DestinationSchema': {
                    'RecordFormatType': 'JSON'|'CSV'
                }
            },
        ],
        ApplicationCode='string'
    )
    
    
    :type ApplicationName: string
    :param ApplicationName: [REQUIRED]
            Name of your Amazon Kinesis Analytics application (for example, sample-app ).
            

    :type ApplicationDescription: string
    :param ApplicationDescription: Summary description of the application.

    :type Inputs: list
    :param Inputs: Use this parameter to configure the application input.
            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).
            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.
            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.
            (dict) --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 .
            NamePrefix (string) -- [REQUIRED]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.
            KinesisStreamsInput (dict) --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.
            ResourceARN (string) -- [REQUIRED]ARN of the input Amazon Kinesis stream to read.
            RoleARN (string) -- [REQUIRED]ARN of the IAM role that Amazon Kinesis Analytics can assume to access the stream on your behalf. You need to grant the necessary permissions to this role.
            KinesisFirehoseInput (dict) --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.
            ResourceARN (string) -- [REQUIRED]ARN of the input Firehose delivery stream.
            RoleARN (string) -- [REQUIRED]ARN of the IAM role that Amazon Kinesis Analytics can assume to access the stream on your behalf. You need to make sure the role has necessary permissions to access the stream.
            InputParallelism (dict) --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 .
            Count (integer) --Number of in-application streams to create. For more information, see Limits .
            InputSchema (dict) -- [REQUIRED]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.
            RecordFormat (dict) -- [REQUIRED]Specifies the format of the records on the streaming source.
            RecordFormatType (string) -- [REQUIRED]The type of record format.
            MappingParameters (dict) --When configuring application input at the time of creating or updating an application, provides additional mapping information specific to the record format (such as JSON, CSV, or record fields delimited by some delimiter) on the streaming source.
            JSONMappingParameters (dict) --Provides additional mapping information when JSON is the record format on the streaming source.
            RecordRowPath (string) -- [REQUIRED]Path to the top-level parent that contains the records.
            For example, consider the following JSON record:
            In the RecordRowPath , '$' refers to the root and path '$.vehicle.Model' refers to the specific 'Model' key in the JSON.
            CSVMappingParameters (dict) --Provides additional mapping information when the record format uses delimiters (for example, CSV).
            RecordRowDelimiter (string) -- [REQUIRED]Row delimiter. For example, in a CSV format, 'n' is the typical row delimiter.
            RecordColumnDelimiter (string) -- [REQUIRED]Column delimiter. For example, in a CSV format, a comma (',') is the typical column delimiter.
            
            RecordEncoding (string) --Specifies the encoding of the records in the streaming source. For example, UTF-8.
            RecordColumns (list) -- [REQUIRED]A list of RecordColumn objects.
            (dict) --Describes the mapping of each data element in the streaming source to the corresponding column in the in-application stream.
            Also used to describe the format of the reference data source.
            Name (string) -- [REQUIRED]Name of the column created in the in-application input stream or reference table.
            Mapping (string) --Reference to the data element in the streaming input of the reference data source.
            SqlType (string) -- [REQUIRED]Type of column created in the in-application input stream or reference table.
            
            
            

    :type Outputs: list
    :param Outputs: You can configure application output to write data from any of the in-application streams to up to five destinations.
            These destinations can be Amazon Kinesis streams, Amazon Kinesis Firehose delivery streams, or both.
            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.
            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.
            (dict) --Describes application output configuration in which you identify an in-application stream and a destination where you want the in-application stream data to be written. The destination can be an Amazon Kinesis stream or an Amazon Kinesis Firehose delivery stream.
            You can configure your application to write output to up to five destinations.
            Name (string) -- [REQUIRED]Name of the in-application stream.
            KinesisStreamsOutput (dict) --Identifies an Amazon Kinesis stream as the destination.
            ResourceARN (string) -- [REQUIRED]ARN of the destination Amazon Kinesis stream to write to.
            RoleARN (string) -- [REQUIRED]ARN of the IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf. You need to grant the necessary permissions to this role.
            KinesisFirehoseOutput (dict) --Identifies an Amazon Kinesis Firehose delivery stream as the destination.
            ResourceARN (string) -- [REQUIRED]ARN of the destination Amazon Kinesis Firehose delivery stream to write to.
            RoleARN (string) -- [REQUIRED]ARN of the IAM role that Amazon Kinesis Analytics can assume to write to the destination stream on your behalf. You need to grant the necessary permissions to this role.
            DestinationSchema (dict) -- [REQUIRED]Describes the data format when records are written to the destination. For more information, see Configuring Application Output .
            RecordFormatType (string) --Specifies the format of the records on the output stream.
            
            

    :type ApplicationCode: string
    :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.
            You can also provide a series of SQL statements, where output of one statement can be used as the input for the next statement.
            Note that the application code must create the streams with names specified in the Outputs . For example, if your Outputs defines output streams named ExampleOutputStream1 and ExampleOutputStream2 , then your application code must create these streams.
            

    :rtype: dict
    :return: {
        'ApplicationSummary': {
            'ApplicationName': 'string',
            'ApplicationARN': 'string',
            'ApplicationStatus': 'DELETING'|'STARTING'|'STOPPING'|'READY'|'RUNNING'|'UPDATING'
        }
    }
    
    
    """
    pass
