Class AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder (3.92.0)

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public static final class AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder extends GeneratedMessage.Builder<AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder> implements AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClassOrBuilder

The set of columns' values that share the same ldiversity value.

Protobuf type google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

Implements

AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClassOrBuilder

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)

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

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

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

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

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

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

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

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

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

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

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

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

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

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

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.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

addAllQuasiIdsValues(Iterable<? extends Value> values)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addAllQuasiIdsValues(Iterable<? extends Value> values)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
values	Iterable<? extends com.google.privacy.dlp.v2.Value>

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addAllTopSensitiveValues(Iterable<? extends ValueFrequency> values)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addAllTopSensitiveValues(Iterable<? extends ValueFrequency> values)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
values	Iterable<? extends com.google.privacy.dlp.v2.ValueFrequency>

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addQuasiIdsValues(Value value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addQuasiIdsValues(Value value)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
value	Value

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addQuasiIdsValues(Value.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addQuasiIdsValues(Value.Builder builderForValue)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
builderForValue	Value.Builder

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addQuasiIdsValues(int index, Value value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addQuasiIdsValues(int index, Value value)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameters
Name	Description
index	int
value	Value

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addQuasiIdsValues(int index, Value.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addQuasiIdsValues(int index, Value.Builder builderForValue)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameters
Name	Description
index	int
builderForValue	Value.Builder

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addQuasiIdsValuesBuilder()

public Value.Builder addQuasiIdsValuesBuilder()

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Returns
Type	Description
Value.Builder

addQuasiIdsValuesBuilder(int index)

public Value.Builder addQuasiIdsValuesBuilder(int index)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Value.Builder

addTopSensitiveValues(ValueFrequency value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addTopSensitiveValues(ValueFrequency value)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
value	ValueFrequency

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addTopSensitiveValues(ValueFrequency.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addTopSensitiveValues(ValueFrequency.Builder builderForValue)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
builderForValue	ValueFrequency.Builder

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addTopSensitiveValues(int index, ValueFrequency value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addTopSensitiveValues(int index, ValueFrequency value)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameters
Name	Description
index	int
value	ValueFrequency

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addTopSensitiveValues(int index, ValueFrequency.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addTopSensitiveValues(int index, ValueFrequency.Builder builderForValue)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameters
Name	Description
index	int
builderForValue	ValueFrequency.Builder

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

addTopSensitiveValuesBuilder()

public ValueFrequency.Builder addTopSensitiveValuesBuilder()

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Returns
Type	Description
ValueFrequency.Builder

addTopSensitiveValuesBuilder(int index)

public ValueFrequency.Builder addTopSensitiveValuesBuilder(int index)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
ValueFrequency.Builder

build()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass build()

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass

buildPartial()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass buildPartial()

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass

clear()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clear()

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearEquivalenceClassSize()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clearEquivalenceClassSize()

Size of the k-anonymity equivalence class.

int64 equivalence_class_size = 2;

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder	This builder for chaining.

clearNumDistinctSensitiveValues()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clearNumDistinctSensitiveValues()

Number of distinct sensitive values in this equivalence class.

int64 num_distinct_sensitive_values = 3;

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder	This builder for chaining.

clearQuasiIdsValues()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clearQuasiIdsValues()

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

clearTopSensitiveValues()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clearTopSensitiveValues()

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

getDefaultInstanceForType()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass getDefaultInstanceForType()

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getEquivalenceClassSize()

public long getEquivalenceClassSize()

Size of the k-anonymity equivalence class.

int64 equivalence_class_size = 2;

Returns
Type	Description
long	The equivalenceClassSize.

getNumDistinctSensitiveValues()

public long getNumDistinctSensitiveValues()

Number of distinct sensitive values in this equivalence class.

int64 num_distinct_sensitive_values = 3;

Returns
Type	Description
long	The numDistinctSensitiveValues.

getQuasiIdsValues(int index)

public Value getQuasiIdsValues(int index)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Value

getQuasiIdsValuesBuilder(int index)

public Value.Builder getQuasiIdsValuesBuilder(int index)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Value.Builder

getQuasiIdsValuesBuilderList()

public List<Value.Builder> getQuasiIdsValuesBuilderList()

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Returns
Type	Description
List<Builder>

getQuasiIdsValuesCount()

public int getQuasiIdsValuesCount()

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Returns
Type	Description
int

getQuasiIdsValuesList()

public List<Value> getQuasiIdsValuesList()

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Returns
Type	Description
List<Value>

getQuasiIdsValuesOrBuilder(int index)

public ValueOrBuilder getQuasiIdsValuesOrBuilder(int index)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ValueOrBuilder

getQuasiIdsValuesOrBuilderList()

public List<? extends ValueOrBuilder> getQuasiIdsValuesOrBuilderList()

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Returns
Type	Description
List<? extends com.google.privacy.dlp.v2.ValueOrBuilder>

getTopSensitiveValues(int index)

public ValueFrequency getTopSensitiveValues(int index)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
ValueFrequency

getTopSensitiveValuesBuilder(int index)

public ValueFrequency.Builder getTopSensitiveValuesBuilder(int index)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
ValueFrequency.Builder

getTopSensitiveValuesBuilderList()

public List<ValueFrequency.Builder> getTopSensitiveValuesBuilderList()

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Returns
Type	Description
List<Builder>

getTopSensitiveValuesCount()

public int getTopSensitiveValuesCount()

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Returns
Type	Description
int

getTopSensitiveValuesList()

public List<ValueFrequency> getTopSensitiveValuesList()

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Returns
Type	Description
List<ValueFrequency>

getTopSensitiveValuesOrBuilder(int index)

public ValueFrequencyOrBuilder getTopSensitiveValuesOrBuilder(int index)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
ValueFrequencyOrBuilder

getTopSensitiveValuesOrBuilderList()

public List<? extends ValueFrequencyOrBuilder> getTopSensitiveValuesOrBuilderList()

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Returns
Type	Description
List<? extends com.google.privacy.dlp.v2.ValueFrequencyOrBuilder>

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass other)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder mergeFrom(AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass other)

Parameter
Name	Description
other	AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

Overrides

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

removeQuasiIdsValues(int index)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder removeQuasiIdsValues(int index)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

removeTopSensitiveValues(int index)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder removeTopSensitiveValues(int index)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameter
Name	Description
index	int

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

setEquivalenceClassSize(long value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setEquivalenceClassSize(long value)

Size of the k-anonymity equivalence class.

int64 equivalence_class_size = 2;

Parameter
Name	Description
value	long The equivalenceClassSize to set.

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder	This builder for chaining.

setNumDistinctSensitiveValues(long value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setNumDistinctSensitiveValues(long value)

Number of distinct sensitive values in this equivalence class.

int64 num_distinct_sensitive_values = 3;

Parameter
Name	Description
value	long The numDistinctSensitiveValues to set.

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder	This builder for chaining.

setQuasiIdsValues(int index, Value value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setQuasiIdsValues(int index, Value value)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameters
Name	Description
index	int
value	Value

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

setQuasiIdsValues(int index, Value.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setQuasiIdsValues(int index, Value.Builder builderForValue)

Quasi-identifier values defining the k-anonymity equivalence class. The order is always the same as the original request.

repeated .google.privacy.dlp.v2.Value quasi_ids_values = 1;

Parameters
Name	Description
index	int
builderForValue	Value.Builder

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

setTopSensitiveValues(int index, ValueFrequency value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setTopSensitiveValues(int index, ValueFrequency value)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameters
Name	Description
index	int
value	ValueFrequency

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

setTopSensitiveValues(int index, ValueFrequency.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setTopSensitiveValues(int index, ValueFrequency.Builder builderForValue)

Estimated frequencies of top sensitive values.

repeated .google.privacy.dlp.v2.ValueFrequency top_sensitive_values = 4;

Parameters
Name	Description
index	int
builderForValue	ValueFrequency.Builder

Returns
Type	Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder