Introduce pattern object for LogicalRelation to avoid coupling with a…

…ll params (#603)

client/src/main/scala/io/delta/sharing/spark/perf/DeltaSharingLimitPushDown.scala

@@ -17,10 +17,12 @@
 package io.delta.sharing.spark.perf
 
 import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.catalog.CatalogTable
 import org.apache.spark.sql.catalyst.expressions.IntegerLiteral
 import org.apache.spark.sql.catalyst.plans.logical.{LocalLimit, LogicalPlan}
 import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.sql.execution.datasources.{HadoopFsRelation, LogicalRelation}
+import org.apache.spark.sql.sources.BaseRelation
 
 import io.delta.sharing.client.util.ConfUtils
 import io.delta.sharing.spark.RemoteDeltaSnapshotFileIndex
@@ -38,9 +40,9 @@ object DeltaSharingLimitPushDown extends Rule[LogicalPlan] {
       p transform {
         case localLimit @ LocalLimit(
         literalExpr @ IntegerLiteral(limit),
-        l @ LogicalRelation(
+        l @ LogicalRelationWithTable(
         r @ HadoopFsRelation(remoteIndex: RemoteDeltaSnapshotFileIndex, _, _, _, _, _),
-        _, _, _)
+        _)
         ) =>
           if (remoteIndex.limitHint.isEmpty) {
             val spark = SparkSession.active
@@ -59,3 +61,17 @@ object DeltaSharingLimitPushDown extends Rule[LogicalPlan] {
     }
   }
 }
+
+/**
+ * Extract the [[BaseRelation]] and [[CatalogTable]] from [[LogicalRelation]]. You can also
+ * retrieve the instance of LogicalRelation like following:
+ *
+ * case l @ LogicalRelationWithTable(relation, catalogTable) => ...
+ *
+ * NOTE: This is copied from Spark 4.0 codebase - license: Apache-2.0.
+ */
+object LogicalRelationWithTable {
+  def unapply(plan: LogicalRelation): Option[(BaseRelation, Option[CatalogTable])] = {
+    Some(plan.relation, plan.catalogTable)
+  }
+}