@Internal public class CovarianceFn<T extends java.lang.Number> extends Combine.CombineFn<Row,org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator,T>
Combine.CombineFn
for Covariance on Number
types.
Calculates Population Covariance and Sample Covariance using incremental formulas described in http://en.wikipedia.org/wiki/Algorithms_for_calculating_variance, presumably by Pébay, Philippe (2008), in "Formulas for Robust, One-Pass Parallel Computation of Covariances and Arbitrary-Order Statistical Moments".
Modifier and Type | Method and Description |
---|---|
org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator |
addInput(org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator currentVariance,
Row rawInput)
Adds the given input value to the given accumulator, returning the new accumulator value.
|
org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator |
createAccumulator()
Returns a new, mutable accumulator value, representing the accumulation of zero input values.
|
T |
extractOutput(org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator accumulator)
Returns the output value that is the result of combining all the input values represented by
the given accumulator.
|
java.lang.reflect.TypeVariable<?> |
getAccumTVariable()
Returns the
TypeVariable of AccumT . |
Coder<org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator> |
getAccumulatorCoder(CoderRegistry registry,
Coder<Row> inputCoder)
Returns the
Coder to use for accumulator AccumT values, or null if it is not
able to be inferred. |
Coder<OutputT> |
getDefaultOutputCoder(CoderRegistry registry,
Coder<InputT> inputCoder)
Returns the
Coder to use by default for output OutputT values, or null if it
is not able to be inferred. |
java.lang.String |
getIncompatibleGlobalWindowErrorMessage()
Returns the error message for not supported default values in Combine.globally().
|
java.lang.reflect.TypeVariable<?> |
getInputTVariable()
Returns the
TypeVariable of InputT . |
java.lang.reflect.TypeVariable<?> |
getOutputTVariable()
Returns the
TypeVariable of OutputT . |
org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator |
mergeAccumulators(java.lang.Iterable<org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator> covariances)
Returns an accumulator representing the accumulation of all the input values accumulated in
the merging accumulators.
|
static <V extends java.lang.Number> |
newPopulation(Schema.TypeName typeName) |
static <V extends java.lang.Number> |
newPopulation(SerializableFunction<java.math.BigDecimal,V> decimalConverter) |
static <V extends java.lang.Number> |
newSample(Schema.TypeName typeName) |
static <V extends java.lang.Number> |
newSample(SerializableFunction<java.math.BigDecimal,V> decimalConverter) |
void |
populateDisplayData(DisplayData.Builder builder)
Register display data for the given transform or component.
|
apply, compact, defaultValue, getInputType, getOutputType
public static <V extends java.lang.Number> CovarianceFn newPopulation(Schema.TypeName typeName)
public static <V extends java.lang.Number> CovarianceFn newPopulation(SerializableFunction<java.math.BigDecimal,V> decimalConverter)
public static <V extends java.lang.Number> CovarianceFn newSample(Schema.TypeName typeName)
public static <V extends java.lang.Number> CovarianceFn newSample(SerializableFunction<java.math.BigDecimal,V> decimalConverter)
public org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator createAccumulator()
Combine.CombineFn
createAccumulator
in class Combine.CombineFn<Row,org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator,T extends java.lang.Number>
public org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator addInput(org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator currentVariance, Row rawInput)
Combine.CombineFn
addInput
in class Combine.CombineFn<Row,org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator,T extends java.lang.Number>
currentVariance
- may be modified and returned for efficiencyrawInput
- should not be mutatedpublic org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator mergeAccumulators(java.lang.Iterable<org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator> covariances)
Combine.CombineFn
mergeAccumulators
in class Combine.CombineFn<Row,org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator,T extends java.lang.Number>
covariances
- only the first accumulator may be modified and returned for efficiency;
the other accumulators should not be mutated, because they may be shared with other code
and mutating them could lead to incorrect results or data corruption.public Coder<org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator> getAccumulatorCoder(CoderRegistry registry, Coder<Row> inputCoder)
CombineFnBase.GlobalCombineFn
Coder
to use for accumulator AccumT
values, or null if it is not
able to be inferred.
By default, uses the knowledge of the Coder
being used for InputT
values
and the enclosing Pipeline
's CoderRegistry
to try to infer the Coder for
AccumT
values.
This is the Coder used to send data through a communication-intensive shuffle step, so a compact and efficient representation may have significant performance benefits.
getAccumulatorCoder
in interface CombineFnBase.GlobalCombineFn<Row,org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator,T extends java.lang.Number>
public T extractOutput(org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator accumulator)
Combine.CombineFn
extractOutput
in class Combine.CombineFn<Row,org.apache.beam.sdk.extensions.sql.impl.transform.agg.CovarianceAccumulator,T extends java.lang.Number>
accumulator
- can be modified for efficiencypublic Coder<OutputT> getDefaultOutputCoder(CoderRegistry registry, Coder<InputT> inputCoder) throws CannotProvideCoderException
CombineFnBase.GlobalCombineFn
Coder
to use by default for output OutputT
values, or null if it
is not able to be inferred.
By default, uses the knowledge of the Coder
being used for input InputT
values and the enclosing Pipeline
's CoderRegistry
to try to infer the Coder
for OutputT
values.
getDefaultOutputCoder
in interface CombineFnBase.GlobalCombineFn<InputT,AccumT,OutputT>
CannotProvideCoderException
public java.lang.String getIncompatibleGlobalWindowErrorMessage()
CombineFnBase.GlobalCombineFn
getIncompatibleGlobalWindowErrorMessage
in interface CombineFnBase.GlobalCombineFn<InputT,AccumT,OutputT>
public java.lang.reflect.TypeVariable<?> getInputTVariable()
TypeVariable
of InputT
.public java.lang.reflect.TypeVariable<?> getAccumTVariable()
TypeVariable
of AccumT
.public java.lang.reflect.TypeVariable<?> getOutputTVariable()
TypeVariable
of OutputT
.public void populateDisplayData(DisplayData.Builder builder)
populateDisplayData(DisplayData.Builder)
is invoked by Pipeline runners to collect
display data via DisplayData.from(HasDisplayData)
. Implementations may call super.populateDisplayData(builder)
in order to register display data in the current namespace,
but should otherwise use subcomponent.populateDisplayData(builder)
to use the namespace
of the subcomponent.
By default, does not register any display data. Implementors may override this method to provide their own display data.
populateDisplayData
in interface HasDisplayData
builder
- The builder to populate with display data.HasDisplayData