class Aws::KinesisAnalytics::Types::ReferenceDataSource
Describes the reference data source by providing the source information (S3 bucket name and object key name), the resulting in-application table name that is created, and the necessary schema to map the data elements in the Amazon S3 object to the in-application table.
@note When making an API call, you may pass ReferenceDataSource
data as a hash: { table_name: "InAppTableName", # required s3_reference_data_source: { bucket_arn: "BucketARN", # required file_key: "FileKey", # required reference_role_arn: "RoleARN", # required }, reference_schema: { # required record_format: { # required record_format_type: "JSON", # required, accepts JSON, CSV mapping_parameters: { json_mapping_parameters: { record_row_path: "RecordRowPath", # required }, csv_mapping_parameters: { record_row_delimiter: "RecordRowDelimiter", # required record_column_delimiter: "RecordColumnDelimiter", # required }, }, }, record_encoding: "RecordEncoding", record_columns: [ # required { name: "RecordColumnName", # required mapping: "RecordColumnMapping", sql_type: "RecordColumnSqlType", # required }, ], }, }
@!attribute [rw] table_name
Name of the in-application table to create. @return [String]
@!attribute [rw] s3_reference_data_source
Identifies the S3 bucket and object that contains the reference data. Also identifies the IAM role Amazon Kinesis Analytics can assume to read this object on your behalf. An Amazon Kinesis Analytics application loads reference data only once. If the data changes, you call the `UpdateApplication` operation to trigger reloading of data into your application. @return [Types::S3ReferenceDataSource]
@!attribute [rw] reference_schema
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns created in the in-application stream. @return [Types::SourceSchema]
@see docs.aws.amazon.com/goto/WebAPI/kinesisanalytics-2015-08-14/ReferenceDataSource AWS API Documentation
Constants
- SENSITIVE