CfnApplicationReferenceDataSourceProps

class aws_cdk.aws_kinesisanalytics.CfnApplicationReferenceDataSourceProps(*, application_name, reference_data_source)

Bases: object

Properties for defining a CfnApplicationReferenceDataSource.

Parameters:

• application_name (str) – Name of an existing application.

• reference_data_source (Union[IResolvable, ReferenceDataSourceProperty, Dict[str, Any]]) – The reference data source can be an object in your Amazon S3 bucket. Amazon Kinesis Analytics reads the object and copies the data into the in-application table that is created. You provide an S3 bucket, object key name, and the resulting in-application table that is created. You must also provide an IAM role with the necessary permissions that Amazon Kinesis Analytics can assume to read the object from your S3 bucket on your behalf.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationreferencedatasource.html

ExampleMetadata:

fixture=_generated

Example:

# The code below shows an example of how to instantiate this type.
# The values are placeholders you should change.
import aws_cdk.aws_kinesisanalytics as kinesisanalytics

cfn_application_reference_data_source_props = kinesisanalytics.CfnApplicationReferenceDataSourceProps(
    application_name="applicationName",
    reference_data_source=kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceDataSourceProperty(
        reference_schema=kinesisanalytics.CfnApplicationReferenceDataSource.ReferenceSchemaProperty(
            record_columns=[kinesisanalytics.CfnApplicationReferenceDataSource.RecordColumnProperty(
                name="name",
                sql_type="sqlType",

                # the properties below are optional
                mapping="mapping"
            )],
            record_format=kinesisanalytics.CfnApplicationReferenceDataSource.RecordFormatProperty(
                record_format_type="recordFormatType",

                # the properties below are optional
                mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.MappingParametersProperty(
                    csv_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.CSVMappingParametersProperty(
                        record_column_delimiter="recordColumnDelimiter",
                        record_row_delimiter="recordRowDelimiter"
                    ),
                    json_mapping_parameters=kinesisanalytics.CfnApplicationReferenceDataSource.JSONMappingParametersProperty(
                        record_row_path="recordRowPath"
                    )
                )
            ),

            # the properties below are optional
            record_encoding="recordEncoding"
        ),

        # the properties below are optional
        s3_reference_data_source=kinesisanalytics.CfnApplicationReferenceDataSource.S3ReferenceDataSourceProperty(
            bucket_arn="bucketArn",
            file_key="fileKey",
            reference_role_arn="referenceRoleArn"
        ),
        table_name="tableName"
    )
)

Attributes

application_name

Name of an existing application.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationreferencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-applicationname

reference_data_source

The reference data source can be an object in your Amazon S3 bucket.

Amazon Kinesis Analytics reads the object and copies the data into the in-application table that is created. You provide an S3 bucket, object key name, and the resulting in-application table that is created. You must also provide an IAM role with the necessary permissions that Amazon Kinesis Analytics can assume to read the object from your S3 bucket on your behalf.

Link:

http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-kinesisanalytics-applicationreferencedatasource.html#cfn-kinesisanalytics-applicationreferencedatasource-referencedatasource