/* * 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.scalar; import org.apache.flink.annotation.Internal; import org.apache.flink.api.common.typeinfo.TypeInformation; import org.apache.flink.api.common.typeutils.TypeSerializer; import org.apache.flink.api.java.typeutils.RowTypeInfo; import org.apache.flink.configuration.Configuration; import org.apache.flink.table.functions.ScalarFunction; import org.apache.flink.table.functions.python.PythonFunctionInfo; import org.apache.flink.table.runtime.types.CRow; import org.apache.flink.table.runtime.types.CRowTypeInfo; import org.apache.flink.table.types.logical.RowType; import org.apache.flink.table.types.utils.TypeConversions; import org.apache.flink.types.Row; import java.util.Arrays; /** * Base Python {@link ScalarFunction} operator for the legacy planner. */ @Internal public abstract class AbstractRowPythonScalarFunctionOperator extends AbstractPythonScalarFunctionOperator<CRow, CRow, Row> { private static final long serialVersionUID = 1L; /** * The collector used to collect records. */ protected transient StreamRecordCRowWrappingCollector cRowWrapper; /** * The type serializer for the forwarded fields. */ private transient TypeSerializer<CRow> forwardedInputSerializer; public AbstractRowPythonScalarFunctionOperator( Configuration config, PythonFunctionInfo[] scalarFunctions, RowType inputType, RowType outputType, int[] udfInputOffsets, int[] forwardedFields) { super(config, scalarFunctions, inputType, outputType, udfInputOffsets, forwardedFields); } @Override @SuppressWarnings("unchecked") public void open() throws Exception { super.open(); this.cRowWrapper = new StreamRecordCRowWrappingCollector(output); CRowTypeInfo forwardedInputTypeInfo = new CRowTypeInfo(new RowTypeInfo( Arrays.stream(forwardedFields) .mapToObj(i -> inputType.getFields().get(i)) .map(RowType.RowField::getType) .map(TypeConversions::fromLogicalToDataType) .map(TypeConversions::fromDataTypeToLegacyInfo) .toArray(TypeInformation[]::new))); forwardedInputSerializer = forwardedInputTypeInfo.createSerializer(getExecutionConfig()); } @Override public void bufferInput(CRow input) { CRow forwardedFieldsRow = new CRow(Row.project(input.row(), forwardedFields), input.change()); if (getExecutionConfig().isObjectReuseEnabled()) { forwardedFieldsRow = forwardedInputSerializer.copy(forwardedFieldsRow); } forwardedInputQueue.add(forwardedFieldsRow); } @Override public Row getFunctionInput(CRow element) { return Row.project(element.row(), userDefinedFunctionInputOffsets); } }