Reference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::QuasiId.
A column with a semantic tag attached.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#custom_tag
def
custom_tag
()
-
>
::
String
- (::String) — A column can be tagged with a custom tag. In this case, the user must
indicate an auxiliary table that contains statistical information on
the possible values of this column (below).
Note: The following fields are mutually exclusive:
custom_tag,info_type,inferred. If a field in that set is populated, all other fields in the set will automatically be cleared.
#custom_tag=
def
custom_tag=
(
value
)
-
>
::
String
- value(::String) — A column can be tagged with a custom tag. In this case, the user must
indicate an auxiliary table that contains statistical information on
the possible values of this column (below).
Note: The following fields are mutually exclusive:
custom_tag,info_type,inferred. If a field in that set is populated, all other fields in the set will automatically be cleared.
- (::String) — A column can be tagged with a custom tag. In this case, the user must
indicate an auxiliary table that contains statistical information on
the possible values of this column (below).
Note: The following fields are mutually exclusive:
custom_tag,info_type,inferred. If a field in that set is populated, all other fields in the set will automatically be cleared.
#field
def
field
()
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
FieldId
- ( ::Google::Cloud::Dlp::V2::FieldId ) — Required. Identifies the column.
#field=
def
field=
(
value
)
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
FieldId
- value( ::Google::Cloud::Dlp::V2::FieldId ) — Required. Identifies the column.
- ( ::Google::Cloud::Dlp::V2::FieldId ) — Required. Identifies the column.
#inferred
def
inferred
()
-
>
::
Google
::
Protobuf
::
Empty
- ( ::Google::Protobuf::Empty
) — If no semantic tag is indicated, we infer the statistical model from
the distribution of values in the input data
Note: The following fields are mutually exclusive:
inferred,info_type,custom_tag. If a field in that set is populated, all other fields in the set will automatically be cleared.
#inferred=
def
inferred=
(
value
)
-
>
::
Google
::
Protobuf
::
Empty
- value( ::Google::Protobuf::Empty
) — If no semantic tag is indicated, we infer the statistical model from
the distribution of values in the input data
Note: The following fields are mutually exclusive:
inferred,info_type,custom_tag. If a field in that set is populated, all other fields in the set will automatically be cleared.
- ( ::Google::Protobuf::Empty
) — If no semantic tag is indicated, we infer the statistical model from
the distribution of values in the input data
Note: The following fields are mutually exclusive:
inferred,info_type,custom_tag. If a field in that set is populated, all other fields in the set will automatically be cleared.
#info_type
def
info_type
()
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
InfoType
- ( ::Google::Cloud::Dlp::V2::InfoType
) — A column can be tagged with a InfoType to use the relevant public
dataset as a statistical model of population, if available. We
currently support US ZIP codes, region codes, ages and genders.
To programmatically obtain the list of supported InfoTypes, use
ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
Note: The following fields are mutually exclusive:
info_type,custom_tag,inferred. If a field in that set is populated, all other fields in the set will automatically be cleared.
#info_type=
def
info_type=
(
value
)
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
InfoType
- value( ::Google::Cloud::Dlp::V2::InfoType
) — A column can be tagged with a InfoType to use the relevant public
dataset as a statistical model of population, if available. We
currently support US ZIP codes, region codes, ages and genders.
To programmatically obtain the list of supported InfoTypes, use
ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
Note: The following fields are mutually exclusive:
info_type,custom_tag,inferred. If a field in that set is populated, all other fields in the set will automatically be cleared.
- ( ::Google::Cloud::Dlp::V2::InfoType
) — A column can be tagged with a InfoType to use the relevant public
dataset as a statistical model of population, if available. We
currently support US ZIP codes, region codes, ages and genders.
To programmatically obtain the list of supported InfoTypes, use
ListInfoTypes with the supported_by=RISK_ANALYSIS filter.
Note: The following fields are mutually exclusive:
info_type,custom_tag,inferred. If a field in that set is populated, all other fields in the set will automatically be cleared.
