StartProjectSession - Amazon Glue DataBrew
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

StartProjectSession

Creates an interactive session, enabling you to manipulate data in a DataBrew project.

Request Syntax

PUT /projects/name/startProjectSession HTTP/1.1 Content-type: application/json { "AssumeControl": boolean }

URI Request Parameters

The request uses the following URI parameters.

name

The name of the project to act upon.

Length Constraints: Minimum length of 1. Maximum length of 255.

Required: Yes

Request Body

The request accepts the following data in JSON format.

AssumeControl

A value that, if true, enables you to take control of a session, even if a different client is currently accessing the project.

Type: Boolean

Required: No

Response Syntax

HTTP/1.1 200 Content-type: application/json { "ClientSessionId": "string", "Name": "string" }

Response Elements

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

The following data is returned in JSON format by the service.

Name

The name of the project to be acted upon.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

ClientSessionId

A system-generated identifier for the session.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: ^[a-zA-Z0-9][a-zA-Z0-9-]*$

Errors

For information about the errors that are common to all actions, see Common Errors.

ConflictException

Updating or deleting a resource can cause an inconsistent state.

HTTP Status Code: 409

ResourceNotFoundException

One or more resources can't be found.

HTTP Status Code: 404

ServiceQuotaExceededException

A service quota is exceeded.

HTTP Status Code: 402

ValidationException

The input parameters for this request failed validation.

HTTP Status Code: 400

See Also

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