- 1.62.0 (latest)
- 1.61.0
- 1.60.0
- 1.58.0
- 1.57.0
- 1.56.0
- 1.55.0
- 1.54.0
- 1.53.0
- 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.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()| 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;
| Name | Description |
values |
Iterable<? extends java.lang.Double>The quartiles to add. |
| 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;
| Name | Description |
value |
doubleThe quartiles to add. |
| 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)| Name | Description |
field |
FieldDescriptor |
value |
Object |
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder |
build()
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo build()| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo |
buildPartial()
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo buildPartial()| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo |
clear()
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clear()| 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;
| 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)| Name | Description |
field |
FieldDescriptor |
| 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;
| 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;
| 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)| Name | Description |
oneof |
OneofDescriptor |
| 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;
| 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;
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder |
This builder for chaining. |
clone()
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder clone()| 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;
| Type | Description |
double |
The average. |
getDefaultInstanceForType()
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo getDefaultInstanceForType()| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| 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;
| 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;
| 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;
| Name | Description |
index |
intThe index of the element to return. |
| 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;
| 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;
| 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;
| Type | Description |
double |
The standardDeviation. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
boolean |
mergeFrom(DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo other)
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeFrom(DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo other)| Name | Description |
other |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo |
| 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)| Name | Description |
input |
CodedInputStream |
extensionRegistry |
ExtensionRegistryLite |
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder |
| Type | Description |
IOException |
mergeFrom(Message other)
public DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeFrom(Message other)| Name | Description |
other |
Message |
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
unknownFields |
UnknownFieldSet |
| 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;
| Name | Description |
value |
doubleThe average to set. |
| 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)| Name | Description |
field |
FieldDescriptor |
value |
Object |
| 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;
| Name | Description |
value |
doubleThe max to set. |
| 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;
| Name | Description |
value |
doubleThe min to set. |
| 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;
| Name | Description |
index |
intThe index to set the value at. |
value |
doubleThe quartiles to set. |
| 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)| Name | Description |
field |
FieldDescriptor |
index |
int |
value |
Object |
| 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;
| Name | Description |
value |
doubleThe standardDeviation to set. |
| 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)| Name | Description |
unknownFields |
UnknownFieldSet |
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.DoubleFieldInfo.Builder |