Export(mapping=None, *, ignore_unknown_fields=False, **kwargs)If set, the detailed data profiles will be persisted to the location of your choice whenever updated.
Attributes |
|
|---|---|
| Name | Description |
profile_table |
google.cloud.dlp_v2.types.BigQueryTable
Store all profiles to BigQuery. - The system will create a new dataset and table for you if none are are provided. The dataset will be named sensitive_data_protection_discovery and table will be
named discovery_profiles. This table will be placed
in the same project as the container project running the
scan. After the first profile is generated and the
dataset and table are created, the discovery scan
configuration will be updated with the dataset and table
names.
- See `Analyze data profiles stored in
BigQuery |
sample_findings_table |
google.cloud.dlp_v2.types.BigQueryTable
Store sample [data profile findings][google.privacy.dlp.v2.DataProfileFinding] in an existing table or a new table in an existing dataset. Each regeneration will result in new rows in BigQuery. Data is inserted using `streaming insert |