Class TaskRunnerSettings (0.8.1)

TaskRunnerSettings(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Taskrunner configuration settings.

Attributes

Name	Description
`task_user`	`str` The UNIX user ID on the worker VM to use for tasks launched by taskrunner; e.g. "root".
`task_group`	`str` The UNIX group ID on the worker VM to use for tasks launched by taskrunner; e.g. "wheel".
`oauth_scopes`	`MutableSequence[str]` The OAuth2 scopes to be requested by the taskrunner in order to access the Cloud Dataflow API.
`base_url`	`str` The base URL for the taskrunner to use when accessing Google Cloud APIs. When workers access Google Cloud APIs, they logically do so via relative URLs. If this field is specified, it supplies the base URL to use for resolving these relative URLs. The normative algorithm used is defined by RFC 1808, "Relative Uniform Resource Locators". If not specified, the default value is "http://www.googleapis.com/".
`dataflow_api_version`	`str` The API version of endpoint, e.g. "v1b3".
`parallel_worker_settings`	`google.cloud.dataflow_v1beta3.types.WorkerSettings` The settings to pass to the parallel worker harness.
`base_task_dir`	`str` The location on the worker for task-specific subdirectories.
`continue_on_exception`	`bool` Whether to continue taskrunner if an exception is hit.
`log_to_serialconsole`	`bool` Whether to send taskrunner log info to Google Compute Engine VM serial console.
`alsologtostderr`	`bool` Whether to also send taskrunner log info to stderr.
`log_upload_location`	`str` Indicates where to put logs. If this is not specified, the logs will not be uploaded. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}
`log_dir`	`str` The directory on the VM to store logs.
`temp_storage_prefix`	`str` The prefix of the resources the taskrunner should use for temporary storage. The supported resource type is: Google Cloud Storage: storage.googleapis.com/{bucket}/{object} bucket.storage.googleapis.com/{object}
`harness_command`	`str` The command to launch the worker harness.
`workflow_file_name`	`str` The file to store the workflow in.
`commandlines_file_name`	`str` The file to store preprocessing commands in.
`vm_id`	`str` The ID string of the VM.
`language_hint`	`str` The suggested backend language.
`streaming_worker_main_class`	`str` The streaming worker main class name.