This activity is used to delete a bucket from Amazon S3.

Technical Reference

	INPUT	BucketName: Specify the name of the bucket which has to be deleted.
	MISC	Display Name: Displays the name of the activity. You can also customize the activity name to help troubleshoot issues faster. This name will be used for logging purposes.
		SkipOnError: It specifies whether to continue executing the workflow even if it throws an error. This supports only Boolean value “True or False” True: Continues to execute the workflow irrespective of any error thrown. False: Stops the workflow if it throws any error
		Version: It specifies the version of amazonS3 automation feature in use
	OUTPUT	Output: Declare a variable here to view the result in the output box. This is not a mandatory field. However, to confirm if the bucket has been deleted, a variable must be created here, to view the result in an output box.
		Result: Define a Boolean to validate if the activity has been completed successfully. This is not a mandatory field.

*Mandatory fields to execute the workflow

Use Case

The following example illustrates on how we can use the delete bucket activity to
delete a bucket from Amazon S3. Here we are going to delete the bucket named
“testind1”.

Steps to execute the bot

1.      Drag and drop an Amazon S3 scope into the workflow

2.      Click on the Amazon scope activity and enter the Access Key ID, Region End Point
and Secret Access Key which was given at the time of registration.

3.      Drag and drop a delete bucket activity into the amazon scope.

4.      Click on the activity

5.      Enter the name of the bucket to be deleted. Here it is “testind1”

6.      Enter the declared variable in the output box of the output segment. Here it is Cb

7.     Drag and drop a writelog activity below the delete bucket activity.

8.      Enter the same variable declared above to the input string of the write log activity.

9.      Enter the log level as “info”

10.   Execute the activity.

The bot executes the activity and deletes the bucket from Amazon S3 scope.