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ASF GitHub Bot commented on FLINK-3848: --------------------------------------- Github user wuchong commented on a diff in the pull request: https://github.com/apache/flink/pull/2810#discussion_r89671544 --- Diff: flink-libraries/flink-table/src/main/scala/org/apache/flink/api/table/plan/nodes/datastream/StreamProjectableTableSourceScan.scala --- @@ -0,0 +1,74 @@ +/* + * 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.api.table.plan.nodes.datastream + +import java.util + +import org.apache.calcite.plan._ +import org.apache.calcite.rel.RelNode +import org.apache.calcite.rel.`type`.RelDataType +import org.apache.calcite.rel.metadata.RelMetadataQuery +import org.apache.calcite.rex.{RexInputRef, RexNode} +import org.apache.flink.api.common.typeinfo.TypeInformation +import org.apache.flink.api.table.StreamTableEnvironment +import org.apache.flink.api.table.plan.schema.TableSourceTable +import org.apache.flink.api.table.sources.{ProjectableTableSource, StreamTableSource} +import org.apache.flink.streaming.api.datastream.DataStream + +import scala.collection.JavaConverters._ + +class StreamProjectableTableSourceScan( + cluster: RelOptCluster, + traitSet: RelTraitSet, + input: RelNode, + projects: util.List[_ <: RexNode], + projectionRowType: RelDataType, + table: RelOptTable) + extends StreamScan(cluster, traitSet, table, projectionRowType) { + + override def copy(traitSet: RelTraitSet, inputs: util.List[RelNode]): RelNode = { + new StreamProjectableTableSourceScan(cluster, + traitSet, + input, + projects, + projectionRowType, + getTable) + } + + override def computeSelfCost(planner: RelOptPlanner, mq: RelMetadataQuery): RelOptCost = { + super.computeSelfCost(planner, mq).multiplyBy(0.8) + } + + override def translateToPlan( + tableEnv: StreamTableEnvironment, + expectedType: Option[TypeInformation[Any]]): DataStream[Any] = { --- End diff -- Please indent like `BatchTableSourceScan.translateToPlan` > Add ProjectableTableSource interface and translation rule > --------------------------------------------------------- > > Key: FLINK-3848 > URL: https://issues.apache.org/jira/browse/FLINK-3848 > Project: Flink > Issue Type: New Feature > Components: Table API & SQL > Reporter: Fabian Hueske > Assignee: Anton Solovev > > Add a {{ProjectableTableSource}} interface for {{TableSource}} implementation > that support projection push-down. > The interface could look as follows > {code} > def trait ProjectableTableSource { > def setProjection(fields: Array[String]): Unit > } > {code} > In addition we need Calcite rules to push a projection into a TableScan that > refers to a {{ProjectableTableSource}}. We might need to tweak the cost model > as well to push the optimizer in the right direction. > Moreover, the {{CsvTableSource}} could be extended to implement > {{ProjectableTableSource}}. -- This message was sent by Atlassian JIRA (v6.3.4#6332)