Github user sujith71955 commented on a diff in the pull request:
https://github.com/apache/carbondata/pull/2779#discussion_r221445524
--- Diff:
integration/spark2/src/main/spark2.3/org/apache/spark/sql/execution/strategy/CarbonDataSourceScan.scala
---
@@ -0,0 +1,55 @@
+/*
+ * 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.spark.sql.execution.strategy
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalyst.{InternalRow, TableIdentifier}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, SortOrder}
+import org.apache.spark.sql.catalyst.plans.physical.Partitioning
+import org.apache.spark.sql.execution.FileSourceScanExec
+import org.apache.spark.sql.execution.datasources.{HadoopFsRelation,
LogicalRelation}
+
+/**
+ * Physical plan node for scanning data. It is applied for both tables
+ * USING carbondata and STORED AS CARBONDATA.
+ */
+class CarbonDataSourceScan(
+ override val output: Seq[Attribute],
+ val rdd: RDD[InternalRow],
+ @transient override val relation: HadoopFsRelation,
+ val partitioning: Partitioning,
+ val md: Map[String, String],
+ identifier: Option[TableIdentifier],
+ @transient private val logicalRelation: LogicalRelation)
+ extends FileSourceScanExec(
+ relation,
+ output,
+ relation.dataSchema,
+ Seq.empty,
+ Seq.empty,
+ identifier) {
+
+ override lazy val supportsBatch: Boolean = true
+
+ override lazy val (outputPartitioning, outputOrdering): (Partitioning,
Seq[SortOrder]) =
+ (partitioning, Nil)
+
+ override lazy val metadata: Map[String, String] = md
--- End diff --
nit: made lazy since spark 2.3.2 version (SPARK-PR#21815)
---
