Class DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder (1.52.0)

Version 1.52.0

• 1.53.0 (latest)
• 1.52.0
• 1.51.0
• 1.50.0
• 1.49.0
• 1.47.0
• 1.46.0
• 1.45.0
• 1.44.0
• 1.43.0
• 1.42.0
• 1.41.0
• 1.40.0
• 1.39.0
• 1.38.0
• 1.37.0
• 1.35.0
• 1.34.0
• 1.33.0
• 1.32.0
• 1.31.0
• 1.30.0
• 1.29.0
• 1.28.0
• 1.27.0
• 1.26.0
• 1.25.0
• 1.22.0
• 1.21.0
• 1.20.0
• 1.19.0
• 1.18.0
• 1.17.0
• 1.16.0
• 1.15.0
• 1.14.0
• 1.13.0
• 1.12.0
• 1.11.0
• 1.10.0
• 1.9.0
• 1.7.0
• 1.6.0
• 1.5.0
• 1.4.0
• 1.3.0
• 1.2.0
• 1.1.2
• 1.0.1
• 0.2.2

public static final class DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder extends GeneratedMessageV3.Builder<DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder> implements DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfoOrBuilder

The profile information for an integer type field.

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

Inheritance

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

Implements

DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfoOrBuilder

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)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(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 Long> values)

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

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

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

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

addQuartiles(long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder addQuartiles(long value)

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Parameter
Name	Description
value	long The quartiles to add.

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

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

build()

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

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

buildPartial()

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

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

clear()

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

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAverage()

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

Average of non-null values in the scanned data. NaN, if the field has a NaN.

double average = 1;

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

clearField(Descriptors.FieldDescriptor field)

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

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

clearMax()

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

Maximum of non-null values in the scanned data. NaN, if the field has a NaN.

int64 max = 5;

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

clearMin()

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

Minimum of non-null values in the scanned data. NaN, if the field has a NaN.

int64 min = 4;

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

clearOneof(Descriptors.OneofDescriptor oneof)

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

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

clearQuartiles()

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

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

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

clearStandardDeviation()

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

Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

double standard_deviation = 3;

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

clone()

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

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAverage()

public double getAverage()

Average of non-null values in the scanned data. NaN, if the field has a NaN.

double average = 1;

Returns
Type	Description
double	The average.

getDefaultInstanceForType()

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

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getMax()

public long getMax()

Maximum of non-null values in the scanned data. NaN, if the field has a NaN.

int64 max = 5;

Returns
Type	Description
long	The max.

getMin()

public long getMin()

Minimum of non-null values in the scanned data. NaN, if the field has a NaN.

int64 min = 4;

Returns
Type	Description
long	The min.

getQuartiles(int index)

public long getQuartiles(int index)

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

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

Returns
Type	Description
long	The quartiles at the given index.

getQuartilesCount()

public int getQuartilesCount()

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Returns
Type	Description
int	The count of quartiles.

getQuartilesList()

public List<Long> getQuartilesList()

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

Returns
Type	Description
List<Long>	A list containing the quartiles.

getStandardDeviation()

public double getStandardDeviation()

Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

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.IntegerFieldInfo other)

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

Parameter
Name	Description
other	DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

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

Parameter
Name	Description
other	Message

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

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

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

setAverage(double value)

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

Average of non-null values in the scanned data. NaN, if the field has a NaN.

double average = 1;

Parameter
Name	Description
value	double The average to set.

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

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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

setMax(long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setMax(long value)

Maximum of non-null values in the scanned data. NaN, if the field has a NaN.

int64 max = 5;

Parameter
Name	Description
value	long The max to set.

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

setMin(long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setMin(long value)

Minimum of non-null values in the scanned data. NaN, if the field has a NaN.

int64 min = 4;

Parameter
Name	Description
value	long The min to set.

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

setQuartiles(int index, long value)

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setQuartiles(int index, long value)

A quartile divides the number 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. Here, the quartiles is provided as an ordered list of approximate quartile values for the scanned data, occurring in order Q1, median, Q3.

repeated int64 quartiles = 6;

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

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

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

public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.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.IntegerFieldInfo.Builder

Overrides

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

setStandardDeviation(double value)

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

Standard deviation of non-null values in the scanned data. NaN, if the field has a NaN.

double standard_deviation = 3;

Parameter
Name	Description
value	double The standardDeviation to set.

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

setUnknownFields(UnknownFieldSet unknownFields)

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

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder

Overrides

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