attilapiros commented on a change in pull request #24241: 
[SPARK-27323][CORE][SQL][STREAMING] Use Single-Abstract-Method support in Scala 
2.12 to simplify code
URL: https://github.com/apache/spark/pull/24241#discussion_r271013238
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSourceStrategy.scala
 ##########
 @@ -222,23 +221,20 @@ class FindDataSourceTable(sparkSession: SparkSession) 
extends Rule[LogicalPlan]
   private def readDataSourceTable(table: CatalogTable): LogicalPlan = {
     val qualifiedTableName = QualifiedTableName(table.database, 
table.identifier.table)
     val catalog = sparkSession.sessionState.catalog
-    catalog.getCachedPlan(qualifiedTableName, new Callable[LogicalPlan]() {
-      override def call(): LogicalPlan = {
-        val pathOption = table.storage.locationUri.map("path" -> 
CatalogUtils.URIToString(_))
-        val dataSource =
-          DataSource(
-            sparkSession,
-            // In older version(prior to 2.1) of Spark, the table schema can 
be empty and should be
-            // inferred at runtime. We should still support it.
-            userSpecifiedSchema = if (table.schema.isEmpty) None else 
Some(table.schema),
-            partitionColumns = table.partitionColumnNames,
-            bucketSpec = table.bucketSpec,
-            className = table.provider.get,
-            options = table.storage.properties ++ pathOption,
-            catalogTable = Some(table))
-
-        LogicalRelation(dataSource.resolveRelation(checkFilesExist = false), 
table)
-      }
+    catalog.getCachedPlan(qualifiedTableName, () => {
+      val pathOption = table.storage.locationUri.map("path" -> 
CatalogUtils.URIToString(_))
+      val dataSource =
+        DataSource(
+          sparkSession,
+          // In older version(prior to 2.1) of Spark, the table schema can be 
empty and should be
 
 Review comment:
   No comment is missing but should we still support this?

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