Class DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder (1.10.0)

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public static final class DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder extends GeneratedMessageV3.Builder<DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder> implements DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfoOrBuilder

DoubleFieldInfo defines output for any double type field.

Protobuf type google.cloud.dataplex.v1.DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Implements

DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfoOrBuilder

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

addAllQuartiles(Iterable<? extends Double> values)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder addAllQuartiles(Iterable<? extends Double> values)

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Parameter

Name	Description
values	Iterable<? extends java.lang.Double> The quartiles to add.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

addQuartiles(double value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder addQuartiles(double value)

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Parameter

Name	Description
value	double The quartiles to add.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

build()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo build()

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo

buildPartial()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo buildPartial()

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo

clear()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clear()

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAverage()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearAverage()

The average of non-null values of double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double average = 1;

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearField(Descriptors.FieldDescriptor field)

Parameter

Name	Description
field	FieldDescriptor

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

clearMax()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearMax()

The maximum value of a double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double max = 5;

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

clearMin()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearMin()

The minimum value of a double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double min = 4;

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter

Name	Description
oneof	OneofDescriptor

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

clearQuartiles()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearQuartiles()

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

clearStandardDeviation()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clearStandardDeviation()

The standard deviation of non-null of double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double standard_deviation = 3;

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

clone()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clone()

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAverage()

public double getAverage()

The average of non-null values of double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double average = 1;

Returns

Type	Description
double	The average.

getDefaultInstanceForType()

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo getDefaultInstanceForType()

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns

Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getMax()

public double getMax()

The maximum value of a double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double max = 5;

Returns

Type	Description
double	The max.

getMin()

public double getMin()

The minimum value of a double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double min = 4;

Returns

Type	Description
double	The min.

getQuartiles(int index)

public double getQuartiles(int index)

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Parameter

Name	Description
index	int The index of the element to return.

Returns

Type	Description
double	The quartiles at the given index.

getQuartilesCount()

public int getQuartilesCount()

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Returns

Type	Description
int	The count of quartiles.

getQuartilesList()

public List<Double> getQuartilesList()

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Returns

Type	Description
List<Double>	A list containing the quartiles.

getStandardDeviation()

public double getStandardDeviation()

The standard deviation of non-null of double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double standard_deviation = 3;

Returns

Type	Description
double	The standardDeviation.

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()

mergeFrom(DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo other)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeFrom(DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo other)

Parameter

Name	Description
other	DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters

Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

Exceptions

Type	Description
IOException

mergeFrom(Message other)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeFrom(Message other)

Parameter

Name	Description
other	Message

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

setAverage(double value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setAverage(double value)

The average of non-null values of double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double average = 1;

Parameter

Name	Description
value	double The average to set.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters

Name	Description
field	FieldDescriptor
value	Object

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

setMax(double value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setMax(double value)

The maximum value of a double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double max = 5;

Parameter

Name	Description
value	double The max to set.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

setMin(double value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setMin(double value)

The minimum value of a double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double min = 4;

Parameter

Name	Description
value	double The min to set.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

setQuartiles(int index, double value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setQuartiles(int index, double value)

A quartile divide the numebr of data points into four parts, or quarters, of more-or-less equal size. Three main quartiles used are: The first quartile (Q1) splits off the lowest 25% of data from the highest 75%. It is also known as the lower or 25th empirical quartile, as 25% of the data is below this point. The second quartile (Q2) is the median of a data set. So, 50% of the data lies below this point. The third quartile (Q3) splits off the highest 25% of data from the lowest 75%. It is known as the upper or 75th empirical quartile, as 75% of the data lies below this point. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.

repeated double quartiles = 6;

Parameters

Name	Description
index	int The index to set the value at.
value	double The quartiles to set.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

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

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

Parameters

Name	Description
field	FieldDescriptor
index	int
value	Object

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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

setStandardDeviation(double value)

public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setStandardDeviation(double value)

The standard deviation of non-null of double field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.

double standard_deviation = 3;

Parameter

Name	Description
value	double The standardDeviation to set.

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter

Name	Description
unknownFields	UnknownFieldSet

Returns

Type	Description
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder

Overrides

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