UntagResource - 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.

UntagResource

Removes one or more tags from a Kinesis Analytics application. For more information, see Using Tagging.

Request Syntax

{ "ResourceARN": "string", "TagKeys": [ "string" ] }

Request Parameters

The request accepts the following data in JSON format.

ResourceARN

The ARN of the Kinesis Analytics application from which to remove the tags.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 2048.

Pattern: arn:.*

Required: Yes

TagKeys

A list of keys of tags to remove from the specified application.

Type: Array of strings

Array Members: Minimum number of 1 item. Maximum number of 200 items.

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

Required: Yes

Response Elements

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

Errors

ConcurrentModificationException

Exception thrown as a result of concurrent modification to an application. For example, two individuals attempting to edit the same application at the same time.

HTTP Status Code: 400

InvalidArgumentException

Specified input parameter value is invalid.

HTTP Status Code: 400

ResourceInUseException

Application is not available for this operation.

HTTP Status Code: 400

ResourceNotFoundException

Specified application can't be found.

HTTP Status Code: 400

TooManyTagsException

Application created with too many tags, or too many tags added to an application. Note that the maximum number of application tags includes system tags. The maximum number of user-defined application tags is 50.

HTTP Status Code: 400

See Also

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