
org.apache.flink.table.functions.python.PythonAggregateFunction Maven / Gradle / Ivy
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* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
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package org.apache.flink.table.functions.python;
import org.apache.flink.annotation.Internal;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.table.catalog.DataTypeFactory;
import org.apache.flink.table.functions.AggregateFunction;
import org.apache.flink.table.types.DataType;
import org.apache.flink.table.types.inference.TypeInference;
import org.apache.flink.table.types.inference.TypeStrategies;
import org.apache.flink.table.types.utils.TypeConversions;
/** The wrapper of user defined python aggregate function. */
@Internal
public class PythonAggregateFunction extends AggregateFunction implements PythonFunction {
private static final long serialVersionUID = 1L;
private final String name;
private final byte[] serializedAggregateFunction;
private final DataType[] inputTypes;
private final DataType resultType;
private final DataType accumulatorType;
private final PythonFunctionKind pythonFunctionKind;
private final boolean deterministic;
private final PythonEnv pythonEnv;
private final boolean takesRowAsInput;
public PythonAggregateFunction(
String name,
byte[] serializedAggregateFunction,
DataType[] inputTypes,
DataType resultType,
DataType accumulatorType,
PythonFunctionKind pythonFunctionKind,
boolean deterministic,
boolean takesRowAsInput,
PythonEnv pythonEnv) {
this.name = name;
this.serializedAggregateFunction = serializedAggregateFunction;
this.inputTypes = inputTypes;
this.resultType = resultType;
this.accumulatorType = accumulatorType;
this.pythonFunctionKind = pythonFunctionKind;
this.deterministic = deterministic;
this.pythonEnv = pythonEnv;
this.takesRowAsInput = takesRowAsInput;
}
public void accumulate(Object accumulator, Object... args) {
throw new UnsupportedOperationException(
"This method is a placeholder and should not be called.");
}
@Override
public Object getValue(Object accumulator) {
return null;
}
@Override
public Object createAccumulator() {
return null;
}
@Override
public byte[] getSerializedPythonFunction() {
return serializedAggregateFunction;
}
@Override
public PythonEnv getPythonEnv() {
return pythonEnv;
}
@Override
public PythonFunctionKind getPythonFunctionKind() {
return pythonFunctionKind;
}
@Override
public boolean takesRowAsInput() {
return takesRowAsInput;
}
@Override
public boolean isDeterministic() {
return deterministic;
}
@Override
public TypeInformation getResultType() {
return TypeConversions.fromDataTypeToLegacyInfo(resultType);
}
@Override
public TypeInformation getAccumulatorType() {
return TypeConversions.fromDataTypeToLegacyInfo(accumulatorType);
}
@Override
public TypeInference getTypeInference(DataTypeFactory typeFactory) {
TypeInference.Builder builder = TypeInference.newBuilder();
if (inputTypes != null) {
builder.typedArguments(inputTypes);
}
return builder.outputTypeStrategy(TypeStrategies.explicit(resultType))
.accumulatorTypeStrategy(TypeStrategies.explicit(accumulatorType))
.build();
}
@Override
public String toString() {
return name;
}
}
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