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.