org.apache.flink.table.functions.python.PythonTableAggregateFunction Maven / Gradle / Ivy

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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * 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
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

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.TableAggregateFunction;
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 table aggregate function. */
@Internal
public class PythonTableAggregateFunction extends TableAggregateFunction implements PythonFunction {

    private static final long serialVersionUID = 1L;

    private final String name;
    private final byte[] serializedTableAggregateFunction;
    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 PythonTableAggregateFunction(
            String name,
            byte[] serializedTableAggregateFunction,
            DataType[] inputTypes,
            DataType resultType,
            DataType accumulatorType,
            PythonFunctionKind pythonFunctionKind,
            boolean deterministic,
            boolean takesRowAsInput,
            PythonEnv pythonEnv) {
        this.name = name;
        this.serializedTableAggregateFunction = serializedTableAggregateFunction;
        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.");
    }

    public void emitValue(Object accumulator, Object out) {
        throw new UnsupportedOperationException(
                "This method is a placeholder and should not be called.");
    }

    @Override
    public Object createAccumulator() {
        return null;
    }

    @Override
    public byte[] getSerializedPythonFunction() {
        return serializedTableAggregateFunction;
    }

    @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;
    }
}