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
defcustom_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).
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=
defcustom_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).
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.
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).
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.
(::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=
definferred=(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
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.
Returns
(::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::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.
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.
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.
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-09-04 UTC."],[],[],null,["# Cloud Data Loss Prevention (DLP) V2 API - Class Google::Cloud::Dlp::V2::QuasiId (v1.12.1)\n\nVersion latestkeyboard_arrow_down\n\n- [1.12.1 (latest)](/ruby/docs/reference/google-cloud-dlp-v2/latest/Google-Cloud-Dlp-V2-QuasiId)\n- [1.12.0](/ruby/docs/reference/google-cloud-dlp-v2/1.12.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.11.0](/ruby/docs/reference/google-cloud-dlp-v2/1.11.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.10.0](/ruby/docs/reference/google-cloud-dlp-v2/1.10.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.9.1](/ruby/docs/reference/google-cloud-dlp-v2/1.9.1/Google-Cloud-Dlp-V2-QuasiId)\n- [1.8.0](/ruby/docs/reference/google-cloud-dlp-v2/1.8.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.7.0](/ruby/docs/reference/google-cloud-dlp-v2/1.7.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.6.0](/ruby/docs/reference/google-cloud-dlp-v2/1.6.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.5.0](/ruby/docs/reference/google-cloud-dlp-v2/1.5.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.4.0](/ruby/docs/reference/google-cloud-dlp-v2/1.4.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.3.1](/ruby/docs/reference/google-cloud-dlp-v2/1.3.1/Google-Cloud-Dlp-V2-QuasiId)\n- [1.2.0](/ruby/docs/reference/google-cloud-dlp-v2/1.2.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.1.0](/ruby/docs/reference/google-cloud-dlp-v2/1.1.0/Google-Cloud-Dlp-V2-QuasiId)\n- [1.0.0](/ruby/docs/reference/google-cloud-dlp-v2/1.0.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.24.0](/ruby/docs/reference/google-cloud-dlp-v2/0.24.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.23.0](/ruby/docs/reference/google-cloud-dlp-v2/0.23.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.22.0](/ruby/docs/reference/google-cloud-dlp-v2/0.22.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.21.0](/ruby/docs/reference/google-cloud-dlp-v2/0.21.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.20.2](/ruby/docs/reference/google-cloud-dlp-v2/0.20.2/Google-Cloud-Dlp-V2-QuasiId)\n- [0.19.0](/ruby/docs/reference/google-cloud-dlp-v2/0.19.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.18.0](/ruby/docs/reference/google-cloud-dlp-v2/0.18.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.17.0](/ruby/docs/reference/google-cloud-dlp-v2/0.17.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.16.0](/ruby/docs/reference/google-cloud-dlp-v2/0.16.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.15.0](/ruby/docs/reference/google-cloud-dlp-v2/0.15.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.14.0](/ruby/docs/reference/google-cloud-dlp-v2/0.14.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.13.1](/ruby/docs/reference/google-cloud-dlp-v2/0.13.1/Google-Cloud-Dlp-V2-QuasiId)\n- [0.12.0](/ruby/docs/reference/google-cloud-dlp-v2/0.12.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.11.0](/ruby/docs/reference/google-cloud-dlp-v2/0.11.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.10.0](/ruby/docs/reference/google-cloud-dlp-v2/0.10.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.9.0](/ruby/docs/reference/google-cloud-dlp-v2/0.9.0/Google-Cloud-Dlp-V2-QuasiId)\n- [0.8.1](/ruby/docs/reference/google-cloud-dlp-v2/0.8.1/Google-Cloud-Dlp-V2-QuasiId) \nReference documentation and code samples for the Cloud Data Loss Prevention (DLP) V2 API class Google::Cloud::Dlp::V2::QuasiId.\n\nA column with a semantic tag attached. \n\nInherits\n--------\n\n- Object \n\nExtended By\n-----------\n\n- Google::Protobuf::MessageExts::ClassMethods \n\nIncludes\n--------\n\n- Google::Protobuf::MessageExts\n\nMethods\n-------\n\n### #custom_tag\n\n def custom_tag() -\u003e ::String\n\n**Returns**\n\n- (::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).\n\n 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.\n\n### #custom_tag=\n\n def custom_tag=(value) -\u003e ::String\n\n**Parameter**\n\n- **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).\n\n\nNote: 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. \n**Returns**\n\n- (::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).\n\n 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.\n\n### #field\n\n def field() -\u003e ::Google::Cloud::Dlp::V2::FieldId\n\n**Returns**\n\n- ([::Google::Cloud::Dlp::V2::FieldId](./Google-Cloud-Dlp-V2-FieldId)) --- Required. Identifies the column.\n\n### #field=\n\n def field=(value) -\u003e ::Google::Cloud::Dlp::V2::FieldId\n\n**Parameter**\n\n- **value** ([::Google::Cloud::Dlp::V2::FieldId](./Google-Cloud-Dlp-V2-FieldId)) --- Required. Identifies the column. \n**Returns**\n\n- ([::Google::Cloud::Dlp::V2::FieldId](./Google-Cloud-Dlp-V2-FieldId)) --- Required. Identifies the column.\n\n### #inferred\n\n def inferred() -\u003e ::Google::Protobuf::Empty\n\n**Returns**\n\n- ([::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\n\n\n 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.\n\n### #inferred=\n\n def inferred=(value) -\u003e ::Google::Protobuf::Empty\n\n**Parameter**\n\n- **value** ([::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\n\n\nNote: 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. \n**Returns**\n\n- ([::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\n\n\n 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.\n\n### #info_type\n\n def info_type() -\u003e ::Google::Cloud::Dlp::V2::InfoType\n\n**Returns**\n\n- ([::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.\n\n\n 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.\n\n### #info_type=\n\n def info_type=(value) -\u003e ::Google::Cloud::Dlp::V2::InfoType\n\n**Parameter**\n\n- **value** ([::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.\n\n\nNote: 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. \n**Returns**\n\n- ([::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.\n\n\n 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."]]
