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AbstractPythonScalarFunctionOperator.java
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AbstractPythonScalarFunctionOperator.java
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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.runtime.operators.python;
import org.apache.flink.annotation.Internal;
import org.apache.flink.configuration.Configuration;
import org.apache.flink.table.functions.ScalarFunction;
import org.apache.flink.table.functions.python.PythonEnv;
import org.apache.flink.table.functions.python.PythonFunctionInfo;
import org.apache.flink.table.types.logical.RowType;
import org.apache.flink.util.Preconditions;
/**
* Base class for all stream operators to execute Python {@link ScalarFunction}s. It executes the Python
* {@link ScalarFunction}s in separate Python execution environment.
*
* <p>The inputs are assumed as the following format:
* {{{
* +------------------+--------------+
* | forwarded fields | extra fields |
* +------------------+--------------+
* }}}.
*
* <p>The Python UDFs may take input columns directly from the input row or the execution result of Java UDFs:
* 1) The input columns from the input row can be referred from the 'forwarded fields';
* 2) The Java UDFs will be computed and the execution results can be referred from the 'extra fields'.
*
* <p>The outputs will be as the following format:
* {{{
* +------------------+-------------------------+
* | forwarded fields | scalar function results |
* +------------------+-------------------------+
* }}}.
*
* @param <IN> Type of the input elements.
* @param <OUT> Type of the output elements.
* @param <UDFIN> Type of the UDF input type.
*/
@Internal
public abstract class AbstractPythonScalarFunctionOperator<IN, OUT, UDFIN>
extends AbstractStatelessFunctionOperator<IN, OUT, UDFIN> {
private static final long serialVersionUID = 1L;
/**
* The Python {@link ScalarFunction}s to be executed.
*/
protected final PythonFunctionInfo[] scalarFunctions;
/**
* The offset of the fields which should be forwarded.
*/
protected final int[] forwardedFields;
AbstractPythonScalarFunctionOperator(
Configuration config,
PythonFunctionInfo[] scalarFunctions,
RowType inputType,
RowType outputType,
int[] udfInputOffsets,
int[] forwardedFields) {
super(config, inputType, outputType, udfInputOffsets);
this.scalarFunctions = Preconditions.checkNotNull(scalarFunctions);
this.forwardedFields = Preconditions.checkNotNull(forwardedFields);
}
@Override
public void open() throws Exception {
udfOutputType = new RowType(outputType.getFields().subList(forwardedFields.length, outputType.getFieldCount()));
super.open();
}
@Override
public PythonEnv getPythonEnv() {
return scalarFunctions[0].getPythonFunction().getPythonEnv();
}
}