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
Returns
- (::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).
#custom_tag=
def
custom_tag=
(
value
)
-
>
::
String
Parameter
- 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).
Returns
- (::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).
#field
def
field
()
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
FieldId
Returns
- ( ::Google::Cloud::Dlp::V2::FieldId ) — Required. Identifies the column.
#field=
def
field=
(
value
)
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
FieldId
Parameter
- value( ::Google::Cloud::Dlp::V2::FieldId ) — Required. Identifies the column.
Returns
- ( ::Google::Cloud::Dlp::V2::FieldId ) — Required. Identifies the column.
#inferred
def
inferred
()
-
>
::
Google
::
Protobuf
::
Empty
Returns
- ( ::Google::Protobuf::Empty ) — If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
#inferred=
def
inferred=
(
value
)
-
>
::
Google
::
Protobuf
::
Empty
Parameter
- value( ::Google::Protobuf::Empty ) — If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
Returns
- ( ::Google::Protobuf::Empty ) — If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
#info_type
def
info_type
()
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
InfoType
Returns
- ( ::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.
#info_type=
def
info_type=
(
value
)
-
>
::
Google
::
Cloud
::
Dlp
::
V2
::
InfoType
Parameter
- 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.
Returns
- ( ::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.
