Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/1939#discussion_r61120172
  
    --- Diff: 
flink-libraries/flink-table/src/main/scala/org/apache/flink/api/table/plan/nodes/dataset/BatchTableSourceScan.scala
 ---
    @@ -0,0 +1,139 @@
    +/*
    + * 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 org.apache.calcite.plan._
    +import org.apache.calcite.rel.RelNode
    +import org.apache.calcite.rel.`type`.RelDataType
    +import org.apache.calcite.rel.core.TableScan
    +import org.apache.calcite.rel.metadata.RelMetadataQuery
    +import org.apache.flink.api.common.functions.MapFunction
    +import org.apache.flink.api.common.typeinfo.TypeInformation
    +import org.apache.flink.api.java.DataSet
    +import org.apache.flink.api.java.typeutils.PojoTypeInfo
    +import org.apache.flink.api.table.BatchTableEnvironment
    +import org.apache.flink.api.table.codegen.CodeGenerator
    +import org.apache.flink.api.table.plan.schema.TableSourceTable
    +import org.apache.flink.api.table.runtime.MapRunner
    +import org.apache.flink.api.table.sources.BatchTableSource
    +import 
org.apache.flink.api.table.typeutils.TypeConverter.determineReturnType
    +
    +import scala.collection.JavaConversions._
    +import scala.collection.JavaConverters._
    +
    +/** Flink RelNode to read data from an external source defined by a 
[[BatchTableSource]]. */
    +class BatchTableSourceScan(
    --- End diff --
    
    I agree, both classes share a lot of code, but another difference apart 
from the unwrapping is that `DataSetScan` simply forwards its `DataSet` whereas 
`BatchTableSourceScan` creates a new `DataSet` using the `BatchTableSource` and 
the table environment. So I would like to keep separate classes, but it makes 
sense to let them have a common abstract base class. What do you think?
    Btw. `DataSetSource` was recently renamed to `DataSetScan` ;-)


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