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public static final class PrivacyMetric.CategoricalStatsConfig.Builder extends GeneratedMessageV3.Builder<PrivacyMetric.CategoricalStatsConfig.Builder> implements PrivacyMetric.CategoricalStatsConfigOrBuilder
Compute numerical stats over an individual column, including number of distinct values and value count distribution.
Protobuf type google.privacy.dlp.v2.PrivacyMetric.CategoricalStatsConfig
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > PrivacyMetric.CategoricalStatsConfig.BuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()
Type | Description |
Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public PrivacyMetric.CategoricalStatsConfig.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
build()
public PrivacyMetric.CategoricalStatsConfig build()
Type | Description |
PrivacyMetric.CategoricalStatsConfig |
buildPartial()
public PrivacyMetric.CategoricalStatsConfig buildPartial()
Type | Description |
PrivacyMetric.CategoricalStatsConfig |
clear()
public PrivacyMetric.CategoricalStatsConfig.Builder clear()
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
clearField()
public PrivacyMetric.CategoricalStatsConfig.Builder clearField()
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
clearField(Descriptors.FieldDescriptor field)
public PrivacyMetric.CategoricalStatsConfig.Builder clearField(Descriptors.FieldDescriptor field)
Name | Description |
field | FieldDescriptor |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
clearOneof(Descriptors.OneofDescriptor oneof)
public PrivacyMetric.CategoricalStatsConfig.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Name | Description |
oneof | OneofDescriptor |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
clone()
public PrivacyMetric.CategoricalStatsConfig.Builder clone()
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
getDefaultInstanceForType()
public PrivacyMetric.CategoricalStatsConfig getDefaultInstanceForType()
Type | Description |
PrivacyMetric.CategoricalStatsConfig |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()
Type | Description |
Descriptor |
getField()
public FieldId getField()
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Type | Description |
FieldId | The field. |
getFieldBuilder()
public FieldId.Builder getFieldBuilder()
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Type | Description |
FieldId.Builder |
getFieldOrBuilder()
public FieldIdOrBuilder getFieldOrBuilder()
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Type | Description |
FieldIdOrBuilder |
hasField()
public boolean hasField()
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Type | Description |
boolean | Whether the field field is set. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()
Type | Description |
boolean |
mergeField(FieldId value)
public PrivacyMetric.CategoricalStatsConfig.Builder mergeField(FieldId value)
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Name | Description |
value | FieldId |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
mergeFrom(PrivacyMetric.CategoricalStatsConfig other)
public PrivacyMetric.CategoricalStatsConfig.Builder mergeFrom(PrivacyMetric.CategoricalStatsConfig other)
Name | Description |
other | PrivacyMetric.CategoricalStatsConfig |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public PrivacyMetric.CategoricalStatsConfig.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Name | Description |
input | CodedInputStream |
extensionRegistry | ExtensionRegistryLite |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
Type | Description |
IOException |
mergeFrom(Message other)
public PrivacyMetric.CategoricalStatsConfig.Builder mergeFrom(Message other)
Name | Description |
other | Message |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final PrivacyMetric.CategoricalStatsConfig.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
setField(FieldId value)
public PrivacyMetric.CategoricalStatsConfig.Builder setField(FieldId value)
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Name | Description |
value | FieldId |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
setField(FieldId.Builder builderForValue)
public PrivacyMetric.CategoricalStatsConfig.Builder setField(FieldId.Builder builderForValue)
Field to compute categorical stats on. All column types are supported except for arrays and structs. However, it may be more informative to use NumericalStats when the field type is supported, depending on the data.
.google.privacy.dlp.v2.FieldId field = 1;
Name | Description |
builderForValue | FieldId.Builder |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public PrivacyMetric.CategoricalStatsConfig.Builder setField(Descriptors.FieldDescriptor field, Object value)
Name | Description |
field | FieldDescriptor |
value | Object |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public PrivacyMetric.CategoricalStatsConfig.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Name | Description |
field | FieldDescriptor |
index | int |
value | Object |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |
setUnknownFields(UnknownFieldSet unknownFields)
public final PrivacyMetric.CategoricalStatsConfig.Builder setUnknownFields(UnknownFieldSet unknownFields)
Name | Description |
unknownFields | UnknownFieldSet |
Type | Description |
PrivacyMetric.CategoricalStatsConfig.Builder |