ReferenceDataSourceUpdate - Amazon Kinesis Data Analytics for SQL Applications Developer Guide
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For new projects, we recommend that you use the new Managed Service for Apache Flink Studio over Kinesis Data Analytics for SQL Applications. Managed Service for Apache Flink Studio combines ease of use with advanced analytical capabilities, enabling you to build sophisticated stream processing applications in minutes.

ReferenceDataSourceUpdate

When you update a reference data source configuration for an application, this object provides all the updated values (such as the source bucket name and object key name), the in-application table name that is created, and updated mapping information that maps the data in the Amazon S3 object to the in-application reference table that is created.

Contents

ReferenceId

ID of the reference data source being updated. You can use the DescribeApplication operation to get this value.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 50.

Pattern: [a-zA-Z0-9_.-]+

Required: Yes

ReferenceSchemaUpdate

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.

Type: SourceSchema object

Required: No

S3ReferenceDataSourceUpdate

Describes the S3 bucket name, object key name, and IAM role that Amazon Kinesis Analytics can assume to read the Amazon S3 object on your behalf and populate the in-application reference table.

Type: S3ReferenceDataSourceUpdate object

Required: No

TableNameUpdate

In-application table name that is created by this update.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 32.

Required: No

See Also

For more information about using this API in one of the language-specific Amazon SDKs, see the following: