dianfu commented on a change in pull request #9890: [FLINK-14272][python][table-planner-blink] Support Blink planner for Python UDF URL: https://github.com/apache/flink/pull/9890#discussion_r335835438
########## File path: flink-table/flink-table-planner-blink/src/main/scala/org/apache/flink/table/planner/plan/nodes/physical/batch/BatchExecPythonCalc.scala ########## @@ -0,0 +1,96 @@ +/* + * 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.planner.plan.nodes.physical.batch + +import org.apache.calcite.plan.{RelOptCluster, RelTraitSet} +import org.apache.calcite.rel.RelNode +import org.apache.calcite.rel.`type`.RelDataType +import org.apache.calcite.rel.core.Calc +import org.apache.calcite.rex.{RexInputRef, RexProgram} +import org.apache.flink.api.dag.Transformation +import org.apache.flink.streaming.api.transformations.OneInputTransformation +import org.apache.flink.table.dataformat.BaseRow +import org.apache.flink.table.planner.calcite.{FlinkTypeFactory, FlinkTypeSystem} +import org.apache.flink.table.planner.codegen.{CalcCodeGenerator, CodeGeneratorContext} +import org.apache.flink.table.planner.delegation.BatchPlanner +import org.apache.flink.table.planner.plan.nodes.common.CommonPythonCalc +import org.apache.flink.table.runtime.operators.AbstractProcessStreamOperator +import org.apache.flink.table.runtime.typeutils.BaseRowTypeInfo + +/** + * Batch physical RelNode for Python ScalarFunctions. + */ +class BatchExecPythonCalc( + cluster: RelOptCluster, + traitSet: RelTraitSet, + inputRel: RelNode, + calcProgram: RexProgram, + outputRowType: RelDataType) + extends BatchExecCalcBase( + cluster, + traitSet, + inputRel, + calcProgram, + outputRowType) + with CommonPythonCalc { + + override def copy(traitSet: RelTraitSet, child: RelNode, program: RexProgram): Calc = { + new BatchExecPythonCalc(cluster, traitSet, child, program, outputRowType) + } + + override protected def translateToPlanInternal(planner: BatchPlanner): Transformation[BaseRow] = { + val inputTransform = getInputNodes.get(0).translateToPlan(planner) + .asInstanceOf[Transformation[BaseRow]] + + val (pythonInputTransform, pythonOperatorResultTyeInfo, resultProjectList) = + generatePythonOneInputStream(inputTransform, calcProgram, getRelDetailedDescription) + + val onlyFilter = resultProjectList.zipWithIndex.forall { case (rexNode, index) => + rexNode.isInstanceOf[RexInputRef] && rexNode.asInstanceOf[RexInputRef].getIndex == index + } + + if (onlyFilter) { + pythonInputTransform + } else { + val config = planner.getTableConfig + val ctx = CodeGeneratorContext(config).setOperatorBaseClass( + classOf[AbstractProcessStreamOperator[BaseRow]]) + val outputType = FlinkTypeFactory.toLogicalRowType(getRowType) + val rexProgram = createProjectionRexProgram( + pythonOperatorResultTyeInfo.toRowType, outputType, resultProjectList, cluster) Review comment: outputRowType is already available, there is no need to use outputType. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
