Class DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder (1.7.0) 

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

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

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

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

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

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

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

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

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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 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

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

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

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

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