Class AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

public static final class AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder extends GeneratedMessageV3.Builder<AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder> implements AnalyzeDataSourceRiskDetails.KMapEstimationResultOrBuilder

Result of the reidentifiability analysis. Note that these results are an estimation, not exact values.

Protobuf type google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult

Inheritance

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

Methods

addAllKMapEstimationHistogram(Iterable<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> values)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addAllKMapEstimationHistogram(Iterable<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> values)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
valuesIterable<? extends com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket>
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
valueAnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
builderForValueAnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters
NameDescription
indexint
valueAnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters
NameDescription
indexint
builderForValueAnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

addKMapEstimationHistogramBuilder()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder addKMapEstimationHistogramBuilder()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

addKMapEstimationHistogramBuilder(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder addKMapEstimationHistogramBuilder(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

build()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult build()
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult

buildPartial()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult buildPartial()
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult

clear()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clear()
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

clearKMapEstimationHistogram()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearKMapEstimationHistogram()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

clone()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder clone()
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

getDefaultInstanceForType()

public AnalyzeDataSourceRiskDetails.KMapEstimationResult getDefaultInstanceForType()
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getKMapEstimationHistogram(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket getKMapEstimationHistogram(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket

getKMapEstimationHistogramBuilder(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder getKMapEstimationHistogramBuilder(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder

getKMapEstimationHistogramBuilderList()

public List<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder> getKMapEstimationHistogramBuilderList()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns
TypeDescription
List<Builder>

getKMapEstimationHistogramCount()

public int getKMapEstimationHistogramCount()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns
TypeDescription
int

getKMapEstimationHistogramList()

public List<AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket> getKMapEstimationHistogramList()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns
TypeDescription
List<KMapEstimationHistogramBucket>

getKMapEstimationHistogramOrBuilder(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder getKMapEstimationHistogramOrBuilder(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder

getKMapEstimationHistogramOrBuilderList()

public List<? extends AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder> getKMapEstimationHistogramOrBuilderList()

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Returns
TypeDescription
List<? extends com.google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucketOrBuilder>

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(AnalyzeDataSourceRiskDetails.KMapEstimationResult other)
Parameter
NameDescription
otherAnalyzeDataSourceRiskDetails.KMapEstimationResult
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

removeKMapEstimationHistogram(int index)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder removeKMapEstimationHistogram(int index)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameter
NameDescription
indexint
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket value)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters
NameDescription
indexint
valueAnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setKMapEstimationHistogram(int index, AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder builderForValue)

The intervals [min_anonymity, max_anonymity] do not overlap. If a value doesn't correspond to any such interval, the associated frequency is zero. For example, the following records: {min_anonymity: 1, max_anonymity: 1, frequency: 17} {min_anonymity: 2, max_anonymity: 3, frequency: 42} {min_anonymity: 5, max_anonymity: 10, frequency: 99} mean that there are no record with an estimated anonymity of 4, 5, or larger than 10.

repeated .google.privacy.dlp.v2.AnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket k_map_estimation_histogram = 1;

Parameters
NameDescription
indexint
builderForValueAnalyzeDataSourceRiskDetails.KMapEstimationResult.KMapEstimationHistogramBucket.Builder
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder

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

public AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
AnalyzeDataSourceRiskDetails.KMapEstimationResult.Builder
Overrides