public static final class DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder extends GeneratedMessageV3.Builder<DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder> implements DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfoOrBuilderThe profile information for a 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 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 quartile values for the scanned data, 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 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 quartile values for the scanned data, 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()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.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()Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
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()Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
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 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 quartile values for the scanned data, 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()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.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()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.DoubleFieldInfo getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo | |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor | |
getMax()
public double getMax()Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
double max = 5;
| Returns | |
|---|---|
| Type | Description |
double | The max. |
getMin()
public double getMin()Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
double min = 4;
| Returns | |
|---|---|
| Type | Description |
double | The min. |
getQuartiles(int index)
public double 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 quartile values for the scanned data, 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 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 quartile values for the scanned data, 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 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 quartile values for the scanned data, occurring in order Q1, median, Q3.
repeated double quartiles = 6;
| Returns | |
|---|---|
| Type | Description |
List<Double> | 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 | |
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)Average of non-null values in the scanned data. NaN, if the field has a NaN.
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)Maximum of non-null values in the scanned data. NaN, if the field has a NaN.
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)Minimum of non-null values in the scanned data. NaN, if the field has a NaN.
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 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 quartile values for the scanned data, 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)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 | 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 | |