ravipesala commented on a change in pull request #3150: [CARBONDATA-3309] MV 
datamap supports Spark 2.1
URL: https://github.com/apache/carbondata/pull/3150#discussion_r282766867
 
 

 ##########
 File path: 
datamap/mv/plan/src/main/scala/org/apache/carbondata/mv/plans/util/Logical2ModularExtractions.scala
 ##########
 @@ -333,23 +332,6 @@ object ExtractTableModule extends PredicateHelper {
   type ReturnType = (String, String, Seq[NamedExpression], Seq[LogicalPlan], 
FlagSet, Seq[Seq[Any]])
 
   def unapply(plan: LogicalPlan): Option[ReturnType] = {
-    plan match {
-      // uncomment for cloudera1 version
-//      case m: CatalogRelation =>
-//        Some(m.tableMeta.database, m.tableMeta.identifier.table, m.output, 
Nil, NoFlags,
-//          Seq.empty)
-//       uncomment for apache version
-      case m: HiveTableRelation =>
-            Some(m.tableMeta.database, m.tableMeta.identifier.table, m.output, 
Nil, NoFlags,
-              Seq.empty)
-      case l: LogicalRelation =>
-        val tableIdentifier = l.catalogTable.map(_.identifier)
-        val database = tableIdentifier.map(_.database).flatten.getOrElse(null)
-        val table = tableIdentifier.map(_.table).getOrElse(null)
-        Some(database, table, l.output, Nil, NoFlags, Seq.empty)
-      case l: LocalRelation => // used for unit test
-        Some(null, null, l.output, Nil, NoFlags, Seq.empty)
-      case _ => None
 
 Review comment:
   No need to create a separate class and duplicate the code here just for ` 
CatalogRelation`. Just check the class name and extract the necessary 
information from it like we have done it in 
`CarbonFileMetastore#lookupRelation`.

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