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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.DoubleFieldInfoOrBuilderDoubleFieldInfo 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.BuilderStatic 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 | doubleThe 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 | |
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 | |
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 | |
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 | |
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 | |
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 | |
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 | intThe 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 | |
isInitialized()
public final boolean isInitialized()| Returns | |
|---|---|
| Type | Description |
boolean | |
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 | |
| 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 | |
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 | |
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 | doubleThe 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 | |
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 | doubleThe 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 | doubleThe 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 | intThe index to set the value at. |
value | doubleThe 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 | |
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 | doubleThe 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 | |