/* * 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.table; import org.apache.flink.annotation.Internal; 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.python.PythonFunctionRunner; import org.apache.flink.python.env.PythonEnvironmentManager; import org.apache.flink.table.functions.TableFunction; import org.apache.flink.table.functions.python.PythonFunctionInfo; import org.apache.flink.table.runtime.runners.python.table.PythonTableFunctionRunner; import org.apache.flink.table.runtime.types.CRow; import org.apache.flink.table.runtime.types.CRowTypeInfo; import org.apache.flink.table.runtime.typeutils.PythonTypeUtils; import org.apache.flink.table.types.logical.RowType; import org.apache.flink.table.types.utils.TypeConversions; import org.apache.flink.types.Row; import org.apache.beam.sdk.fn.data.FnDataReceiver; import org.apache.calcite.rel.core.JoinRelType; import java.io.IOException; import java.util.Map; /** * The Python {@link TableFunction} operator for the legacy planner. */ @Internal public class PythonTableFunctionOperator extends AbstractPythonTableFunctionOperator<CRow, CRow, Row> { private static final long serialVersionUID = 1L; /** * The collector used to collect records. */ private transient StreamRecordCRowWrappingCollector cRowWrapper; /** * The type serializer for the forwarded fields. */ private transient TypeSerializer<CRow> forwardedInputSerializer; /** * The TypeSerializer for udtf execution results. */ private transient TypeSerializer<Row> udtfOutputTypeSerializer; public PythonTableFunctionOperator( Configuration config, PythonFunctionInfo tableFunction, RowType inputType, RowType outputType, int[] udtfInputOffsets, JoinRelType joinType) { super(config, tableFunction, inputType, outputType, udtfInputOffsets, joinType); } @Override @SuppressWarnings("unchecked") public void open() throws Exception { super.open(); this.cRowWrapper = new StreamRecordCRowWrappingCollector(output); CRowTypeInfo forwardedInputTypeInfo = new CRowTypeInfo( (RowTypeInfo) TypeConversions.fromDataTypeToLegacyInfo( TypeConversions.fromLogicalToDataType(inputType))); forwardedInputSerializer = forwardedInputTypeInfo.createSerializer(getExecutionConfig()); udtfOutputTypeSerializer = PythonTypeUtils.toFlinkTypeSerializer(userDefinedFunctionOutputType); } @Override public void emitResults() throws IOException { CRow input = null; byte[] rawUdtfResult; boolean lastIsFinishResult = true; while ((rawUdtfResult = userDefinedFunctionResultQueue.poll()) != null) { if (input == null) { input = forwardedInputQueue.poll(); } boolean isFinishResult = isFinishResult(rawUdtfResult); if (isFinishResult && (!lastIsFinishResult || joinType == JoinRelType.INNER)) { input = forwardedInputQueue.poll(); } else if (input != null) { if (!isFinishResult) { bais.setBuffer(rawUdtfResult, 0, rawUdtfResult.length); Row udtfResult = udtfOutputTypeSerializer.deserialize(baisWrapper); cRowWrapper.setChange(input.change()); cRowWrapper.collect(Row.join(input.row(), udtfResult)); } else { Row udtfResult = new Row(userDefinedFunctionOutputType.getFieldCount()); for (int i = 0; i < udtfResult.getArity(); i++) { udtfResult.setField(0, null); } cRowWrapper.collect(Row.join(input.row(), udtfResult)); input = forwardedInputQueue.poll(); } } lastIsFinishResult = isFinishResult; } } @Override public void bufferInput(CRow input) { if (getExecutionConfig().isObjectReuseEnabled()) { input = forwardedInputSerializer.copy(input); } forwardedInputQueue.add(input); } @Override public Row getFunctionInput(CRow element) { return Row.project(element.row(), userDefinedFunctionInputOffsets); } @Override public PythonFunctionRunner<Row> createPythonFunctionRunner( FnDataReceiver<byte[]> resultReceiver, PythonEnvironmentManager pythonEnvironmentManager, Map<String, String> jobOptions) { return new PythonTableFunctionRunner( getRuntimeContext().getTaskName(), resultReceiver, tableFunction, pythonEnvironmentManager, userDefinedFunctionInputType, userDefinedFunctionOutputType, jobOptions, getFlinkMetricContainer()); } }