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[FLINK-3596] DataSet RelNode refactoring
- remove the intermediate flink relnode layer and the dataset rules - move code generation from rules to DataSet nodes - remove unused DataSete nodes - move code generation from join rule to DataSetJoin node - merge DataSetMap and DataSetReduce into DataSetAggregate
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152 changes: 152 additions & 0 deletions
152
...link-table/src/main/scala/org/apache/flink/api/table/plan/nodes/dataset/DataSetCalc.scala
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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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 | ||
| * | ||
| * https://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.api.table.plan.nodes.dataset | ||
|
|
||
| import org.apache.calcite.plan.{RelOptCluster, RelTraitSet} | ||
| import org.apache.calcite.rel.`type`.RelDataType | ||
| import org.apache.calcite.rel.{RelNode, RelWriter, SingleRel} | ||
| import org.apache.flink.api.common.functions.FlatMapFunction | ||
| import org.apache.flink.api.common.typeinfo.TypeInformation | ||
| import org.apache.flink.api.java.DataSet | ||
| import org.apache.flink.api.table.codegen.CodeGenerator | ||
| import org.apache.flink.api.table.plan.TypeConverter._ | ||
| import org.apache.flink.api.table.runtime.FlatMapRunner | ||
| import org.apache.flink.api.table.TableConfig | ||
| import org.apache.calcite.rex.RexProgram | ||
| import scala.collection.JavaConversions._ | ||
|
|
||
| /** | ||
| * Flink RelNode which matches along with LogicalCalc. | ||
| * | ||
| */ | ||
| class DataSetCalc( | ||
| cluster: RelOptCluster, | ||
| traitSet: RelTraitSet, | ||
| input: RelNode, | ||
| rowType: RelDataType, | ||
| calcProgram: RexProgram, | ||
| opName: String, | ||
| ruleDescription: String) | ||
| extends SingleRel(cluster, traitSet, input) | ||
| with DataSetRel { | ||
|
|
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| override def deriveRowType() = rowType | ||
|
|
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| override def copy(traitSet: RelTraitSet, inputs: java.util.List[RelNode]): RelNode = { | ||
| new DataSetCalc( | ||
| cluster, | ||
| traitSet, | ||
| inputs.get(0), | ||
| rowType, | ||
| calcProgram, | ||
| opName, | ||
| ruleDescription) | ||
| } | ||
|
|
||
| override def explainTerms(pw: RelWriter): RelWriter = { | ||
| super.explainTerms(pw).item("name", opName) | ||
| } | ||
|
|
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| override def toString = opName | ||
|
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| override def translateToPlan(config: TableConfig, | ||
| expectedType: Option[TypeInformation[Any]]): DataSet[Any] = { | ||
|
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| val inputDS = input.asInstanceOf[DataSetRel].translateToPlan(config) | ||
|
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| val returnType = determineReturnType( | ||
| getRowType, | ||
| expectedType, | ||
| config.getNullCheck, | ||
| config.getEfficientTypeUsage) | ||
|
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| val generator = new CodeGenerator(config, inputDS.getType) | ||
|
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| val condition = calcProgram.getCondition | ||
| val expandedExpressions = calcProgram.getProjectList.map( | ||
| expr => calcProgram.expandLocalRef(expr)) | ||
| val projection = generator.generateResultExpression( | ||
| returnType, | ||
| rowType.getFieldNames, | ||
| expandedExpressions) | ||
|
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| val body = { | ||
| // only projection | ||
| if (condition == null) { | ||
| s""" | ||
| |${projection.code} | ||
| |${generator.collectorTerm}.collect(${projection.resultTerm}); | ||
| |""".stripMargin | ||
| } | ||
| else { | ||
| val filterCondition = generator.generateExpression( | ||
| calcProgram.expandLocalRef(calcProgram.getCondition)) | ||
| // only filter | ||
| if (projection == null) { | ||
| // conversion | ||
| if (inputDS.getType != returnType) { | ||
| val conversion = generator.generateConverterResultExpression( | ||
| returnType, | ||
| rowType.getFieldNames) | ||
|
|
||
| s""" | ||
| |${filterCondition.code} | ||
| |if (${filterCondition.resultTerm}) { | ||
| | ${conversion.code} | ||
| | ${generator.collectorTerm}.collect(${conversion.resultTerm}); | ||
| |} | ||
| |""".stripMargin | ||
| } | ||
| // no conversion | ||
| else { | ||
| s""" | ||
| |${filterCondition.code} | ||
| |if (${filterCondition.resultTerm}) { | ||
| | ${generator.collectorTerm}.collect(${generator.input1Term}); | ||
| |} | ||
| |""".stripMargin | ||
| } | ||
| } | ||
| // both filter and projection | ||
| else { | ||
| s""" | ||
| |${filterCondition.code} | ||
| |if (${filterCondition.resultTerm}) { | ||
| | ${projection.code} | ||
| | ${generator.collectorTerm}.collect(${projection.resultTerm}); | ||
| |} | ||
| |""".stripMargin | ||
| } | ||
| } | ||
| } | ||
|
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| val genFunction = generator.generateFunction( | ||
| ruleDescription, | ||
| classOf[FlatMapFunction[Any, Any]], | ||
| body, | ||
| returnType) | ||
|
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| val mapFunc = new FlatMapRunner[Any, Any]( | ||
| genFunction.name, | ||
| genFunction.code, | ||
| genFunction.returnType) | ||
|
|
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| inputDS.flatMap(mapFunc) | ||
| } | ||
| } |
66 changes: 0 additions & 66 deletions
66
...-table/src/main/scala/org/apache/flink/api/table/plan/nodes/dataset/DataSetExchange.scala
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