TimespanConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)Configuration of the timespan of the items to include in scanning. Currently only supported when inspecting Cloud Storage and BigQuery.
Attributes |
|
|---|---|
| Name | Description |
start_time |
google.protobuf.timestamp_pb2.Timestamp
Exclude files, tables, or rows older than this value. If not set, no lower time limit is applied. |
end_time |
google.protobuf.timestamp_pb2.Timestamp
Exclude files, tables, or rows newer than this value. If not set, no upper time limit is applied. |
timestamp_field |
google.cloud.dlp_v2.types.FieldId
Specification of the field containing the timestamp of scanned items. Used for data sources like Datastore and BigQuery. **For BigQuery** If this value is not specified and the table was modified between the given start and end times, the entire table will be scanned. If this value is specified, then rows are filtered based on the given start and end times. Rows with a NULL value in the provided BigQuery column are skipped.
Valid data types of the provided BigQuery column are:
INTEGER, DATE, TIMESTAMP, and DATETIME.
If your BigQuery table is `partitioned at ingestion
time |
enable_auto_population_of_timespan_config |
bool
When the job is started by a JobTrigger we will automatically figure out a valid start_time to avoid scanning files that have not been modified since the last time the JobTrigger executed. This will be based on the time of the execution of the last run of the JobTrigger or the timespan end_time used in the last run of the JobTrigger. **For BigQuery** Inspect jobs triggered by automatic population will scan data that is at least three hours old when the job starts. This is because streaming buffer rows are not read during inspection and reading up to the current timestamp will result in skipped rows. See the `known issue |