Class PrivacyMetric.KMapEstimationConfig.TaggedField.Builder (3.22.0)

Version 3.22.0

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public static final class PrivacyMetric.KMapEstimationConfig.TaggedField.Builder extends GeneratedMessageV3.Builder<PrivacyMetric.KMapEstimationConfig.TaggedField.Builder> implements PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder

A column with a semantic tag attached.

Protobuf type google.privacy.dlp.v2.PrivacyMetric.KMapEstimationConfig.TaggedField

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Implements

PrivacyMetric.KMapEstimationConfig.TaggedFieldOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

build()

public PrivacyMetric.KMapEstimationConfig.TaggedField build()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField

buildPartial()

public PrivacyMetric.KMapEstimationConfig.TaggedField buildPartial()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField

clear()

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clear()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearCustomTag()

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder	This builder for chaining.

clearField()

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearField()

Required. Identifies the column.

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

clearField(Descriptors.FieldDescriptor field)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearInferred()

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

clearInfoType()

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearTag()

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clearTag()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

clone()

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder clone()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

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;

Returns
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;

Returns
Type	Description
ByteString	The bytes for customTag.

getDefaultInstanceForType()

public PrivacyMetric.KMapEstimationConfig.TaggedField getDefaultInstanceForType()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getField()

public FieldId getField()

Required. Identifies the column.

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
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];

Returns
Type	Description
FieldId.Builder

getFieldOrBuilder()

public FieldIdOrBuilder getFieldOrBuilder()

Required. Identifies the column.

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
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;

Returns
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;

Returns
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;

Returns
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;

Returns
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;

Returns
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;

Returns
Type	Description
InfoTypeOrBuilder

getTagCase()

public PrivacyMetric.KMapEstimationConfig.TaggedField.TagCase getTagCase()

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Returns
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];

Returns
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;

Returns
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;

Returns
Type	Description
boolean	Whether the infoType field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeField(FieldId value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeField(FieldId value)

Required. Identifies the column.

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	FieldId

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

mergeFrom(PrivacyMetric.KMapEstimationConfig.TaggedField other)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeFrom(PrivacyMetric.KMapEstimationConfig.TaggedField other)

Parameter
Name	Description
other	PrivacyMetric.KMapEstimationConfig.TaggedField

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeInferred(Empty value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
value	Empty

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

mergeInfoType(InfoType value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
value	InfoType

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final PrivacyMetric.KMapEstimationConfig.TaggedField.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

setCustomTag(String value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
value	String The customTag to set.

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder	This builder for chaining.

setCustomTagBytes(ByteString value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
value	ByteString The bytes for customTag to set.

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder	This builder for chaining.

setField(FieldId value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setField(FieldId value)

Required. Identifies the column.

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	FieldId

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

setField(FieldId.Builder builderForValue)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setField(FieldId.Builder builderForValue)

Required. Identifies the column.

.google.privacy.dlp.v2.FieldId field = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	FieldId.Builder

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

setInferred(Empty value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
value	Empty

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

setInferred(Empty.Builder builderForValue)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
builderForValue	Builder

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

setInfoType(InfoType value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
value	InfoType

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

setInfoType(InfoType.Builder builderForValue)

public PrivacyMetric.KMapEstimationConfig.TaggedField.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;

Parameter
Name	Description
builderForValue	InfoType.Builder

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setUnknownFields(UnknownFieldSet unknownFields)

public final PrivacyMetric.KMapEstimationConfig.TaggedField.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
PrivacyMetric.KMapEstimationConfig.TaggedField.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)