StopApplication - Amazon Kinesis Data Analytics for SQL Applications Developer Guide

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.

StopApplication

Note

This documentation is for version 1 of the Amazon Kinesis Data Analytics API, which only supports SQL applications. Version 2 of the API supports SQL and Java applications. For more information about version 2, see Amazon Kinesis Data Analytics API V2 Documentation.

Stops the application from processing input data. You can stop an application only if it is in the running state. You can use the DescribeApplication operation to find the application state. After the application is stopped, Amazon Kinesis Analytics stops reading data from the input, the application stops processing data, and there is no output written to the destination.

This operation requires permissions to perform the kinesisanalytics:StopApplication action.

Request Syntax

{ "ApplicationName": "string" }

Request Parameters

The request accepts the following data in JSON format.

ApplicationName

Name of the running application to stop.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 128.

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

Required: Yes

Response Elements

If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.

Errors

ResourceInUseException

Application is not available for this operation.

HTTP Status Code: 400

ResourceNotFoundException

Specified application can't be found.

HTTP Status Code: 400

UnsupportedOperationException

The request was rejected because a specified parameter is not supported or a specified resource is not valid for this operation.

HTTP Status Code: 400

See Also

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