[ 
https://issues.apache.org/jira/browse/FLINK-3848?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15676036#comment-15676036
 ] 

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_r88592516
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/api/table/plan/nodes/dataset/BatchTableProject.scala
 ---
    @@ -0,0 +1,67 @@
    +/*
    + * 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.dataset
    +
    +import java.util
    +
    +import org.apache.calcite.plan.{RelOptCluster, RelOptCost, RelOptPlanner, 
RelTraitSet}
    +import org.apache.calcite.rel.RelNode
    +import org.apache.calcite.rel.`type`.RelDataType
    +import org.apache.calcite.rel.core.Project
    +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.java.DataSet
    +import org.apache.flink.api.table.BatchTableEnvironment
    +import org.apache.flink.api.table.plan.schema.TableSourceTable
    +import org.apache.flink.api.table.sources.ProjectableTableSource
    +
    +import scala.collection.JavaConverters._
    +
    +class BatchTableProject(
    +    cluster: RelOptCluster,
    +    traits: RelTraitSet,
    +    input: RelNode,
    +    projects: util.List[_ <: RexNode],
    +    projectionRowType: RelDataType)
    +  extends Project(cluster, traits, input, projects, projectionRowType)
    +  with DataSetRel {
    +
    +  override def copy(traitSet: RelTraitSet, input: RelNode,
    +    projects: util.List[RexNode], scanRawType: RelDataType): Project = {
    +    new BatchTableProject(cluster, traitSet, input, projects, 
projectionRowType)
    +  }
    +
    +  override def computeSelfCost(planner: RelOptPlanner, mq: 
RelMetadataQuery): RelOptCost = {
    +    super.computeSelfCost(planner, mq).multiplyBy(0.8)
    +  }
    +
    +  override def translateToPlan(
    +    tableEnv: BatchTableEnvironment,
    +    expectedType: Option[TypeInformation[Any]]): DataSet[Any] = {
    +
    +    val projectableSource = 
getInput.getTable.unwrap(classOf[TableSourceTable])
    +      .tableSource.asInstanceOf[ProjectableTableSource[_]]
    +
    +    val indexes = 
projects.asScala.map(_.asInstanceOf[RexInputRef].getIndex).toArray
    +    projectableSource.setProjection(indexes)
    +
    +    getInput.asInstanceOf[DataSetRel].translateToPlan(tableEnv)
    --- End diff --
    
    We should convert the output type to expected type if needed. You can learn 
from how  `BatchTableSourceScan` did.


> 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}}.



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