Represents a data transfer configuration. A transfer configuration
contains all metadata needed to perform a data transfer. For example,
destination_dataset_id
specifies where data should be stored. When a
new transfer configuration is created, the specified
destination_dataset_id
is created when needed and shared with the
appropriate data source service account.
The BigQuery target dataset id.
Data source id. Cannot be changed once data transfer is created.
Data transfer schedule. If the data source does not support a
custom schedule, this should be empty. If it is empty, the
default value for the data source will be used. The specified
times are in UTC. Examples of valid format: 1st,3rd monday
of month 15:30
, every wed,fri of jan,jun 13:15
, and
first sunday of quarter 00:00
. See more explanation about
the format here: https://cloud.google.com/appengine/docs/flexi
ble/python/scheduling-jobs-with-cron-
yaml#the_schedule_format NOTE: the granularity should be at
least 8 hours, or less frequent.
The number of days to look back to automatically refresh the
data. For example, if data_refresh_window_days = 10
, then
every day BigQuery reingests data for [today-10, today-1],
rather than ingesting data for just [today-1]. Only valid if
the data source supports the feature. Set the value to 0 to
use the default value.
Output only. Data transfer modification time. Ignored by server on input.
Output only. State of the most recently updated transfer run.
Output only. Region in which BigQuery dataset is located.