[CARBONDATA-4306] Fix Query Performance issue for Spark 3.1

Why is this PR needed?
Currently, with Spark 3.1, some rules are applied many times resulting in performance degrade.

What changes were proposed in this PR?
Changed Rules apply strategy from Fixed to Once and CarbonOptimizer can directly extend SparkOptimizer avoiding applying same rules many times

This Closes #4229

integration/spark/src/main/scala/org/apache/spark/sql/execution/strategy/CarbonSourceStrategy.scala

@@ -152,7 +152,7 @@ private[sql] object CarbonSourceStrategy extends SparkStrategy {
     var partitions : (Seq[CatalogTablePartition], Seq[PartitionSpec], Seq[Expression]) =
       (null, null, Seq.empty)
     var filterPredicates = allPredicates
-    if(names.nonEmpty) {
+    if(names.nonEmpty && partitionsFilter.nonEmpty) {
       partitions = CarbonFilters.getCatalogTablePartitions(
         partitionsFilter.filterNot(e => e.find(_.isInstanceOf[PlanExpression[_]]).isDefined),
         SparkSession.getActiveSession.get,

integration/spark/src/main/spark3.1/org/apache/spark/sql/CarbonToSparkAdapter.scala

@@ -33,6 +33,7 @@ import org.apache.spark.sql.catalyst.expressions.codegen.Block._
 import org.apache.spark.sql.catalyst.optimizer.Optimizer
 import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, SubqueryAlias}
 import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.execution.SparkOptimizer
 import org.apache.spark.sql.execution.datasources.{FilePartition, PartitionedFile}
 import org.apache.spark.sql.hive.HiveExternalCatalog
 import org.apache.spark.sql.optimizer.{CarbonIUDRule, CarbonUDFTransformRule, MVRewriteRule}
@@ -238,33 +239,21 @@ object CarbonToSparkAdapter extends SparkVersionAdapter {
 }
 
 class CarbonOptimizer(session: SparkSession, optimizer: Optimizer) extends
-  Optimizer(session.sessionState.catalogManager) {
+  SparkOptimizer(session.sessionState.catalogManager,
+    session.sessionState.catalog,
+    session.sessionState.experimentalMethods) {
 
   private lazy val mvRules = Seq(Batch("Materialized View Optimizers", Once,
     Seq(new MVRewriteRule(session)): _*))
 
-  private lazy val iudRule = Batch("IUD Optimizers", fixedPoint,
+  private lazy val iudRule = Batch("IUD Optimizers", Once,
     Seq(new CarbonIUDRule(), new CarbonUDFTransformRule(), new CarbonFileIndexReplaceRule()): _*)
 
   private lazy val secondaryIndexRule = Batch("SI Optimizers", Once,
     Seq(new CarbonSITransformationRule(session)): _*)
 
   override def defaultBatches: Seq[Batch] = {
-    mvRules ++ convertedBatch() :+ iudRule :+ secondaryIndexRule
+    mvRules ++ super.defaultBatches :+ iudRule :+ secondaryIndexRule
   }
 
-  def convertedBatch(): Seq[Batch] = {
-    optimizer.batches.map { batch =>
-      Batch(
-        batch.name,
-        batch.strategy match {
-          case optimizer.Once =>
-            Once
-          case _: optimizer.FixedPoint =>
-            fixedPoint
-        },
-        batch.rules: _*
-      )
-    }
-  }
 }