- 1.51.0 (latest)
- 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.IntegerFieldInfoOrBuilderIntegerFieldInfo defines output for any 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.BuilderStatic 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 divide 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. So, here the quartiles is provided as an ordered list of quartile values, 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 divide 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. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.
repeated int64 quartiles = 6;
| Parameter | |
|---|---|
| Name | Description |
value | longThe 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 | |
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 | |
clearAverage()
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearAverage()The average of non-null values of integer 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.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 | |
clearMax()
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearMax()The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.
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()The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.
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 | |
clearQuartiles()
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clearQuartiles()A quartile divide 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. So, here the quartiles is provided as an ordered list of quartile values, 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()The standard deviation of non-null of integer 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.IntegerFieldInfo.Builder | This builder for chaining. |
clone()
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder clone()| Returns | |
|---|---|
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder | |
getAverage()
public double getAverage()The average of non-null values of integer 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.IntegerFieldInfo getDefaultInstanceForType()| Returns | |
|---|---|
| Type | Description |
DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo | |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Returns | |
|---|---|
| Type | Description |
Descriptor | |
getMax()
public long getMax()The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.
int64 max = 5;
| Returns | |
|---|---|
| Type | Description |
long | The max. |
getMin()
public long getMin()The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.
int64 min = 4;
| Returns | |
|---|---|
| Type | Description |
long | The min. |
getQuartiles(int index)
public long getQuartiles(int index)A quartile divide 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. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.
repeated int64 quartiles = 6;
| Parameter | |
|---|---|
| Name | Description |
index | intThe index of the element to return. |
| Returns | |
|---|---|
| Type | Description |
long | The quartiles at the given index. |
getQuartilesCount()
public int getQuartilesCount()A quartile divide 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. So, here the quartiles is provided as an ordered list of quartile values, 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 divide 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. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.
repeated int64 quartiles = 6;
| Returns | |
|---|---|
| Type | Description |
List<Long> | A list containing the quartiles. |
getStandardDeviation()
public double getStandardDeviation()The standard deviation of non-null of integer 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.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 | |
| 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 | |
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 | |
setAverage(double value)
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setAverage(double value)The average of non-null values of integer 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.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 | |
setMax(long value)
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setMax(long value)The maximum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.
int64 max = 5;
| Parameter | |
|---|---|
| Name | Description |
value | longThe 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)The minimum value of an integer field in the sampled data. Return NaN, if the field has a NaN. Optional if zero non-null rows.
int64 min = 4;
| Parameter | |
|---|---|
| Name | Description |
value | longThe 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 divide 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. So, here the quartiles is provided as an ordered list of quartile values, occurring in order Q1, median, Q3.
repeated int64 quartiles = 6;
| Parameters | |
|---|---|
| Name | Description |
index | intThe index to set the value at. |
value | longThe 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 | |
setStandardDeviation(double value)
public DataProfileResult.Profile.Field.ProfileInfo.IntegerFieldInfo.Builder setStandardDeviation(double value)The standard deviation of non-null of integer 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.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 | |