Class AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder (3.46.0)

public static final class AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder extends GeneratedMessageV3.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

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder

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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

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

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.

clearField(Descriptors.FieldDescriptor field)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

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.

clearOneof(Descriptors.OneofDescriptor oneof)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

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

clone()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder clone()
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

getDefaultInstanceForType()

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass getDefaultInstanceForType()
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

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 GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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
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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

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.

setField(Descriptors.FieldDescriptor field, Object value)

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

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

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

public AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
AnalyzeDataSourceRiskDetails.LDiversityResult.LDiversityEquivalenceClass.Builder
Overrides