public static final class QuasiId.Builder extends GeneratedMessageV3.Builder<QuasiId.Builder> implements QuasiIdOrBuilderA column with a semantic tag attached.
Protobuf type google.privacy.dlp.v2.QuasiId
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > QuasiId.BuilderImplements
QuasiIdOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Type | Description |
| Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public QuasiId.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| QuasiId.Builder |
build()
public QuasiId build()| Type | Description |
| QuasiId |
buildPartial()
public QuasiId buildPartial()| Type | Description |
| QuasiId |
clear()
public QuasiId.Builder clear()| Type | Description |
| QuasiId.Builder |
clearCustomTag()
public QuasiId.Builder clearCustomTag()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).
string custom_tag = 3;
| Type | Description |
| QuasiId.Builder | This builder for chaining. |
clearField()
public QuasiId.Builder clearField()Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| QuasiId.Builder |
clearField(Descriptors.FieldDescriptor field)
public QuasiId.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| QuasiId.Builder |
clearInferred()
public QuasiId.Builder clearInferred()If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Type | Description |
| QuasiId.Builder |
clearInfoType()
public QuasiId.Builder clearInfoType()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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Type | Description |
| QuasiId.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public QuasiId.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| QuasiId.Builder |
clearTag()
public QuasiId.Builder clearTag()| Type | Description |
| QuasiId.Builder |
clone()
public QuasiId.Builder clone()| Type | Description |
| QuasiId.Builder |
getCustomTag()
public String getCustomTag()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).
string custom_tag = 3;
| Type | Description |
| String | The customTag. |
getCustomTagBytes()
public ByteString getCustomTagBytes()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).
string custom_tag = 3;
| Type | Description |
| ByteString | The bytes for customTag. |
getDefaultInstanceForType()
public QuasiId getDefaultInstanceForType()| Type | Description |
| QuasiId |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
| Descriptor |
getField()
public FieldId getField()Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| FieldId | The field. |
getFieldBuilder()
public FieldId.Builder getFieldBuilder()Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| FieldId.Builder |
getFieldOrBuilder()
public FieldIdOrBuilder getFieldOrBuilder()Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| FieldIdOrBuilder |
getInferred()
public Empty getInferred()If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Type | Description |
| Empty | The inferred. |
getInferredBuilder()
public Empty.Builder getInferredBuilder()If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Type | Description |
| Builder |
getInferredOrBuilder()
public EmptyOrBuilder getInferredOrBuilder()If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Type | Description |
| EmptyOrBuilder |
getInfoType()
public InfoType getInfoType()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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Type | Description |
| InfoType | The infoType. |
getInfoTypeBuilder()
public InfoType.Builder getInfoTypeBuilder()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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Type | Description |
| InfoType.Builder |
getInfoTypeOrBuilder()
public InfoTypeOrBuilder getInfoTypeOrBuilder()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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Type | Description |
| InfoTypeOrBuilder |
getTagCase()
public QuasiId.TagCase getTagCase()| Type | Description |
| QuasiId.TagCase |
hasCustomTag()
public boolean hasCustomTag()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).
string custom_tag = 3;
| Type | Description |
| boolean | Whether the customTag field is set. |
hasField()
public boolean hasField()Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| boolean | Whether the field field is set. |
hasInferred()
public boolean hasInferred()If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Type | Description |
| boolean | Whether the inferred field is set. |
hasInfoType()
public boolean hasInfoType()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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Type | Description |
| boolean | Whether the infoType field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
| boolean |
mergeField(FieldId value)
public QuasiId.Builder mergeField(FieldId value)Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | FieldId |
| Type | Description |
| QuasiId.Builder |
mergeFrom(QuasiId other)
public QuasiId.Builder mergeFrom(QuasiId other)| Name | Description |
| other | QuasiId |
| Type | Description |
| QuasiId.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public QuasiId.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| QuasiId.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public QuasiId.Builder mergeFrom(Message other)| Name | Description |
| other | Message |
| Type | Description |
| QuasiId.Builder |
mergeInferred(Empty value)
public QuasiId.Builder mergeInferred(Empty value)If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Name | Description |
| value | Empty |
| Type | Description |
| QuasiId.Builder |
mergeInfoType(InfoType value)
public QuasiId.Builder mergeInfoType(InfoType value)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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Name | Description |
| value | InfoType |
| Type | Description |
| QuasiId.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final QuasiId.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| QuasiId.Builder |
setCustomTag(String value)
public QuasiId.Builder setCustomTag(String value)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).
string custom_tag = 3;
| Name | Description |
| value | StringThe customTag to set. |
| Type | Description |
| QuasiId.Builder | This builder for chaining. |
setCustomTagBytes(ByteString value)
public QuasiId.Builder setCustomTagBytes(ByteString value)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).
string custom_tag = 3;
| Name | Description |
| value | ByteStringThe bytes for customTag to set. |
| Type | Description |
| QuasiId.Builder | This builder for chaining. |
setField(FieldId value)
public QuasiId.Builder setField(FieldId value)Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | FieldId |
| Type | Description |
| QuasiId.Builder |
setField(FieldId.Builder builderForValue)
public QuasiId.Builder setField(FieldId.Builder builderForValue)Required. Identifies the column.
.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| builderForValue | FieldId.Builder |
| Type | Description |
| QuasiId.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public QuasiId.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| QuasiId.Builder |
setInferred(Empty value)
public QuasiId.Builder setInferred(Empty value)If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Name | Description |
| value | Empty |
| Type | Description |
| QuasiId.Builder |
setInferred(Empty.Builder builderForValue)
public QuasiId.Builder setInferred(Empty.Builder builderForValue)If no semantic tag is indicated, we infer the statistical model from the distribution of values in the input data
.google.protobuf.Empty inferred = 4;
| Name | Description |
| builderForValue | Builder |
| Type | Description |
| QuasiId.Builder |
setInfoType(InfoType value)
public QuasiId.Builder setInfoType(InfoType value)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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Name | Description |
| value | InfoType |
| Type | Description |
| QuasiId.Builder |
setInfoType(InfoType.Builder builderForValue)
public QuasiId.Builder setInfoType(InfoType.Builder builderForValue)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.
.google.privacy.dlp.v2.InfoType info_type = 2;
| Name | Description |
| builderForValue | InfoType.Builder |
| Type | Description |
| QuasiId.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public QuasiId.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| QuasiId.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final QuasiId.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| QuasiId.Builder |