diff --git a/dev/diffs/3.4.2.diff b/dev/diffs/3.4.2.diff
deleted file mode 100644
index cd02970da..000000000
--- a/dev/diffs/3.4.2.diff
+++ /dev/null
@@ -1,2555 +0,0 @@
-diff --git a/pom.xml b/pom.xml
-index fab98342498..f2156d790d1 100644
---- a/pom.xml
-+++ b/pom.xml
-@@ -148,6 +148,8 @@
-     <chill.version>0.10.0</chill.version>
-     <ivy.version>2.5.1</ivy.version>
-     <oro.version>2.0.8</oro.version>
-+    <spark.version.short>3.4</spark.version.short>
-+    <comet.version>0.1.0-SNAPSHOT</comet.version>
-     <!--
-     If you changes codahale.metrics.version, you also need to change
-     the link to metrics.dropwizard.io in docs/monitoring.md.
-@@ -2766,6 +2768,25 @@
-         <artifactId>arpack</artifactId>
-         <version>${netlib.ludovic.dev.version}</version>
-       </dependency>
-+      <dependency>
-+        <groupId>org.apache.comet</groupId>
-+        <artifactId>comet-spark-spark${spark.version.short}_${scala.binary.version}</artifactId>
-+        <version>${comet.version}</version>
-+        <exclusions>
-+          <exclusion>
-+            <groupId>org.apache.spark</groupId>
-+            <artifactId>spark-sql_${scala.binary.version}</artifactId>
-+          </exclusion>
-+          <exclusion>
-+            <groupId>org.apache.spark</groupId>
-+            <artifactId>spark-core_${scala.binary.version}</artifactId>
-+          </exclusion>
-+          <exclusion>
-+            <groupId>org.apache.spark</groupId>
-+            <artifactId>spark-catalyst_${scala.binary.version}</artifactId>
-+          </exclusion>
-+        </exclusions>
-+      </dependency>
-     </dependencies>
-   </dependencyManagement>
- 
-diff --git a/sql/core/pom.xml b/sql/core/pom.xml
-index 5b6cc8cb7af..5ce708adc38 100644
---- a/sql/core/pom.xml
-+++ b/sql/core/pom.xml
-@@ -77,6 +77,10 @@
-       <groupId>org.apache.spark</groupId>
-       <artifactId>spark-tags_${scala.binary.version}</artifactId>
-     </dependency>
-+    <dependency>
-+      <groupId>org.apache.comet</groupId>
-+      <artifactId>comet-spark-spark${spark.version.short}_${scala.binary.version}</artifactId>
-+    </dependency>
- 
-     <!--
-       This spark-tags test-dep is needed even though it isn't used in this module, otherwise testing-cmds that exclude
-diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala b/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
-index c595b50950b..6b60213e775 100644
---- a/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
-+++ b/sql/core/src/main/scala/org/apache/spark/sql/SparkSession.scala
-@@ -102,7 +102,7 @@ class SparkSession private(
-       sc: SparkContext,
-       initialSessionOptions: java.util.HashMap[String, String]) = {
-     this(sc, None, None,
--      SparkSession.applyExtensions(
-+      SparkSession.applyExtensions(sc,
-         sc.getConf.get(StaticSQLConf.SPARK_SESSION_EXTENSIONS).getOrElse(Seq.empty),
-         new SparkSessionExtensions), initialSessionOptions.asScala.toMap)
-   }
-@@ -1028,7 +1028,7 @@ object SparkSession extends Logging {
-         }
- 
-         loadExtensions(extensions)
--        applyExtensions(
-+        applyExtensions(sparkContext,
-           sparkContext.getConf.get(StaticSQLConf.SPARK_SESSION_EXTENSIONS).getOrElse(Seq.empty),
-           extensions)
- 
-@@ -1282,14 +1282,24 @@ object SparkSession extends Logging {
-     }
-   }
- 
-+  private def loadCometExtension(sparkContext: SparkContext): Seq[String] = {
-+    if (sparkContext.getConf.getBoolean("spark.comet.enabled", false)) {
-+      Seq("org.apache.comet.CometSparkSessionExtensions")
-+    } else {
-+      Seq.empty
-+    }
-+  }
-+
-   /**
-    * Initialize extensions for given extension classnames. The classes will be applied to the
-    * extensions passed into this function.
-    */
-   private def applyExtensions(
-+      sparkContext: SparkContext,
-       extensionConfClassNames: Seq[String],
-       extensions: SparkSessionExtensions): SparkSessionExtensions = {
--    extensionConfClassNames.foreach { extensionConfClassName =>
-+    val extensionClassNames = extensionConfClassNames ++ loadCometExtension(sparkContext)
-+    extensionClassNames.foreach { extensionConfClassName =>
-       try {
-         val extensionConfClass = Utils.classForName(extensionConfClassName)
-         val extensionConf = extensionConfClass.getConstructor().newInstance()
-diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
-index db587dd9868..aac7295a53d 100644
---- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
-+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
-@@ -18,6 +18,7 @@
- package org.apache.spark.sql.execution
- 
- import org.apache.spark.annotation.DeveloperApi
-+import org.apache.spark.sql.comet.CometScanExec
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, QueryStageExec}
- import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
- import org.apache.spark.sql.execution.exchange.ReusedExchangeExec
-@@ -67,6 +68,7 @@ private[execution] object SparkPlanInfo {
-     // dump the file scan metadata (e.g file path) to event log
-     val metadata = plan match {
-       case fileScan: FileSourceScanExec => fileScan.metadata
-+      case cometScan: CometScanExec => cometScan.metadata
-       case _ => Map[String, String]()
-     }
-     new SparkPlanInfo(
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql b/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
-index 7aef901da4f..f3d6e18926d 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
-@@ -2,3 +2,4 @@
- 
- --SET spark.sql.adaptive.enabled=true
- --SET spark.sql.maxMetadataStringLength = 500
-+--SET spark.comet.enabled = false
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql b/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
-index eeb2180f7a5..afd1b5ec289 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
-@@ -1,5 +1,6 @@
- --SET spark.sql.cbo.enabled=true
- --SET spark.sql.maxMetadataStringLength = 500
-+--SET spark.comet.enabled = false
- 
- CREATE TABLE explain_temp1(a INT, b INT) USING PARQUET;
- CREATE TABLE explain_temp2(c INT, d INT) USING PARQUET;
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain.sql b/sql/core/src/test/resources/sql-tests/inputs/explain.sql
-index 698ca009b4f..57d774a3617 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/explain.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/explain.sql
-@@ -1,6 +1,7 @@
- --SET spark.sql.codegen.wholeStage = true
- --SET spark.sql.adaptive.enabled = false
- --SET spark.sql.maxMetadataStringLength = 500
-+--SET spark.comet.enabled = false
- 
- -- Test tables
- CREATE table  explain_temp1 (key int, val int) USING PARQUET;
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part1.sql b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part1.sql
-index 1152d77da0c..f77493f690b 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part1.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part1.sql
-@@ -7,6 +7,9 @@
- 
- -- avoid bit-exact output here because operations may not be bit-exact.
- -- SET extra_float_digits = 0;
-+-- Disable Comet exec due to floating point precision difference
-+--SET spark.comet.exec.enabled = false
-+
- 
- -- Test aggregate operator with codegen on and off.
- --CONFIG_DIM1 spark.sql.codegen.wholeStage=true
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
-index 41fd4de2a09..44cd244d3b0 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
-@@ -5,6 +5,9 @@
- -- AGGREGATES [Part 3]
- -- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/aggregates.sql#L352-L605
- 
-+-- Disable Comet exec due to floating point precision difference
-+--SET spark.comet.exec.enabled = false
-+
- -- Test aggregate operator with codegen on and off.
- --CONFIG_DIM1 spark.sql.codegen.wholeStage=true
- --CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=CODEGEN_ONLY
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
-index fac23b4a26f..2b73732c33f 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
-@@ -1,6 +1,10 @@
- --
- -- Portions Copyright (c) 1996-2019, PostgreSQL Global Development Group
- --
-+
-+-- Disable Comet exec due to floating point precision difference
-+--SET spark.comet.exec.enabled = false
-+
- --
- -- INT8
- -- Test int8 64-bit integers.
-diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
-index 0efe0877e9b..423d3b3d76d 100644
---- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
-+++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
-@@ -1,6 +1,10 @@
- --
- -- Portions Copyright (c) 1996-2019, PostgreSQL Global Development Group
- --
-+
-+-- Disable Comet exec due to floating point precision difference
-+--SET spark.comet.exec.enabled = false
-+
- --
- -- SELECT_HAVING
- -- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/select_having.sql
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
-index cf40e944c09..bdd5be4f462 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
-@@ -38,7 +38,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeConstants
- import org.apache.spark.sql.execution.{ColumnarToRowExec, ExecSubqueryExpression, RDDScanExec, SparkPlan}
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.columnar._
--import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-+import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
- import org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate
- import org.apache.spark.sql.functions._
- import org.apache.spark.sql.internal.SQLConf
-@@ -516,7 +516,8 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
-    */
-   private def verifyNumExchanges(df: DataFrame, expected: Int): Unit = {
-     assert(
--      collect(df.queryExecution.executedPlan) { case e: ShuffleExchangeExec => e }.size == expected)
-+      collect(df.queryExecution.executedPlan) {
-+        case _: ShuffleExchangeLike => 1 }.size == expected)
-   }
- 
-   test("A cached table preserves the partitioning and ordering of its cached SparkPlan") {
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
-index ea5e47ede55..814b92d090f 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
-@@ -27,7 +27,7 @@ import org.apache.spark.SparkException
- import org.apache.spark.sql.execution.WholeStageCodegenExec
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec}
--import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-+import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
- import org.apache.spark.sql.expressions.Window
- import org.apache.spark.sql.functions._
- import org.apache.spark.sql.internal.SQLConf
-@@ -755,7 +755,7 @@ class DataFrameAggregateSuite extends QueryTest
-       assert(objHashAggPlans.nonEmpty)
- 
-       val exchangePlans = collect(aggPlan) {
--        case shuffle: ShuffleExchangeExec => shuffle
-+        case shuffle: ShuffleExchangeLike => shuffle
-       }
-       assert(exchangePlans.length == 1)
-     }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
-index 56e9520fdab..917932336df 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
-@@ -435,7 +435,9 @@ class DataFrameJoinSuite extends QueryTest
- 
-     withTempDatabase { dbName =>
-       withTable(table1Name, table2Name) {
--        withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
-+        withSQLConf(
-+            SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
-+            "spark.comet.enabled" -> "false") {
-           spark.range(50).write.saveAsTable(s"$dbName.$table1Name")
-           spark.range(100).write.saveAsTable(s"$dbName.$table2Name")
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
-index 9ddb4abe98b..1b9269acef1 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
-@@ -43,7 +43,7 @@ import org.apache.spark.sql.connector.FakeV2Provider
- import org.apache.spark.sql.execution.{FilterExec, LogicalRDD, QueryExecution, SortExec, WholeStageCodegenExec}
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.aggregate.HashAggregateExec
--import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, ReusedExchangeExec, ShuffleExchangeExec, ShuffleExchangeLike}
-+import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, ReusedExchangeExec, ShuffleExchangeLike}
- import org.apache.spark.sql.expressions.{Aggregator, Window}
- import org.apache.spark.sql.functions._
- import org.apache.spark.sql.internal.SQLConf
-@@ -1981,7 +1981,7 @@ class DataFrameSuite extends QueryTest
-           fail("Should not have back to back Aggregates")
-         }
-         atFirstAgg = true
--      case e: ShuffleExchangeExec => atFirstAgg = false
-+      case e: ShuffleExchangeLike => atFirstAgg = false
-       case _ =>
-     }
-   }
-@@ -2291,7 +2291,7 @@ class DataFrameSuite extends QueryTest
-       checkAnswer(join, df)
-       assert(
-         collect(join.queryExecution.executedPlan) {
--          case e: ShuffleExchangeExec => true }.size === 1)
-+          case _: ShuffleExchangeLike => true }.size === 1)
-       assert(
-         collect(join.queryExecution.executedPlan) { case e: ReusedExchangeExec => true }.size === 1)
-       val broadcasted = broadcast(join)
-@@ -2299,7 +2299,7 @@ class DataFrameSuite extends QueryTest
-       checkAnswer(join2, df)
-       assert(
-         collect(join2.queryExecution.executedPlan) {
--          case e: ShuffleExchangeExec => true }.size == 1)
-+          case _: ShuffleExchangeLike => true }.size == 1)
-       assert(
-         collect(join2.queryExecution.executedPlan) {
-           case e: BroadcastExchangeExec => true }.size === 1)
-@@ -2862,7 +2862,7 @@ class DataFrameSuite extends QueryTest
- 
-     // Assert that no extra shuffle introduced by cogroup.
-     val exchanges = collect(df3.queryExecution.executedPlan) {
--      case h: ShuffleExchangeExec => h
-+      case h: ShuffleExchangeLike => h
-     }
-     assert(exchanges.size == 2)
-   }
-@@ -3311,7 +3311,8 @@ class DataFrameSuite extends QueryTest
-     assert(df2.isLocal)
-   }
- 
--  test("SPARK-35886: PromotePrecision should be subexpr replaced") {
-+  test("SPARK-35886: PromotePrecision should be subexpr replaced",
-+    IgnoreComet("TODO: fix Comet for this test")) {
-     withTable("tbl") {
-       sql(
-         """
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
-index 7dec558f8df..840dda15033 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
-@@ -39,7 +39,7 @@ import org.apache.spark.sql.catalyst.plans.{LeftAnti, LeftSemi}
- import org.apache.spark.sql.catalyst.util.sideBySide
- import org.apache.spark.sql.execution.{LogicalRDD, RDDScanExec, SQLExecution}
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
--import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, ShuffleExchangeExec}
-+import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec, ShuffleExchangeExec, ShuffleExchangeLike}
- import org.apache.spark.sql.execution.streaming.MemoryStream
- import org.apache.spark.sql.expressions.UserDefinedFunction
- import org.apache.spark.sql.functions._
-@@ -2254,7 +2254,7 @@ class DatasetSuite extends QueryTest
- 
-     // Assert that no extra shuffle introduced by cogroup.
-     val exchanges = collect(df3.queryExecution.executedPlan) {
--      case h: ShuffleExchangeExec => h
-+      case h: ShuffleExchangeLike => h
-     }
-     assert(exchanges.size == 2)
-   }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
-index f33432ddb6f..060f874ea72 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
-@@ -22,6 +22,7 @@ import org.scalatest.GivenWhenThen
- import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Expression}
- import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode._
- import org.apache.spark.sql.catalyst.plans.ExistenceJoin
-+import org.apache.spark.sql.comet.CometScanExec
- import org.apache.spark.sql.connector.catalog.{InMemoryTableCatalog, InMemoryTableWithV2FilterCatalog}
- import org.apache.spark.sql.execution._
- import org.apache.spark.sql.execution.adaptive._
-@@ -262,6 +263,9 @@ abstract class DynamicPartitionPruningSuiteBase
-       case s: BatchScanExec => s.runtimeFilters.collect {
-         case d: DynamicPruningExpression => d.child
-       }
-+      case s: CometScanExec => s.partitionFilters.collect {
-+        case d: DynamicPruningExpression => d.child
-+      }
-       case _ => Nil
-     }
-   }
-@@ -1187,7 +1191,8 @@ abstract class DynamicPartitionPruningSuiteBase
-     }
-   }
- 
--  test("Make sure dynamic pruning works on uncorrelated queries") {
-+  test("Make sure dynamic pruning works on uncorrelated queries",
-+    IgnoreComet("TODO: Support SubqueryBroadcastExec in Comet: #242")) {
-     withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
-       val df = sql(
-         """
-@@ -1238,7 +1243,8 @@ abstract class DynamicPartitionPruningSuiteBase
-     }
-   }
- 
--  test("Plan broadcast pruning only when the broadcast can be reused") {
-+  test("Plan broadcast pruning only when the broadcast can be reused",
-+    IgnoreComet("TODO: Support SubqueryBroadcastExec in Comet: #242")) {
-     Given("dynamic pruning filter on the build side")
-     withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
-       val df = sql(
-@@ -1485,7 +1491,7 @@ abstract class DynamicPartitionPruningSuiteBase
-   }
- 
-   test("SPARK-38148: Do not add dynamic partition pruning if there exists static partition " +
--    "pruning") {
-+    "pruning", IgnoreComet("TODO: Support SubqueryBroadcastExec in Comet: #242")) {
-     withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "true") {
-       Seq(
-         "f.store_id = 1" -> false,
-@@ -1729,6 +1735,8 @@ abstract class DynamicPartitionPruningV1Suite extends DynamicPartitionPruningDat
-               case s: BatchScanExec =>
-                 // we use f1 col for v2 tables due to schema pruning
-                 s.output.exists(_.exists(_.argString(maxFields = 100).contains("f1")))
-+              case s: CometScanExec =>
-+                s.output.exists(_.exists(_.argString(maxFields = 100).contains("fid")))
-               case _ => false
-             }
-           assert(scanOption.isDefined)
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
-index a6b295578d6..91acca4306f 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
-@@ -463,7 +463,8 @@ class ExplainSuite extends ExplainSuiteHelper with DisableAdaptiveExecutionSuite
-     }
-   }
- 
--  test("Explain formatted output for scan operator for datasource V2") {
-+  test("Explain formatted output for scan operator for datasource V2",
-+      IgnoreComet("Comet explain output is different")) {
-     withTempDir { dir =>
-       Seq("parquet", "orc", "csv", "json").foreach { fmt =>
-         val basePath = dir.getCanonicalPath + "/" + fmt
-@@ -541,7 +542,9 @@ class ExplainSuite extends ExplainSuiteHelper with DisableAdaptiveExecutionSuite
-   }
- }
- 
--class ExplainSuiteAE extends ExplainSuiteHelper with EnableAdaptiveExecutionSuite {
-+// Ignored when Comet is enabled. Comet changes expected query plans.
-+class ExplainSuiteAE extends ExplainSuiteHelper with EnableAdaptiveExecutionSuite
-+    with IgnoreCometSuite {
-   import testImplicits._
- 
-   test("SPARK-35884: Explain Formatted") {
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala
-index 2796b1cf154..be7078b38f4 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/FileBasedDataSourceSuite.scala
-@@ -33,6 +33,7 @@ import org.apache.spark.sql.TestingUDT.{IntervalUDT, NullData, NullUDT}
- import org.apache.spark.sql.catalyst.expressions.{AttributeReference, GreaterThan, Literal}
- import org.apache.spark.sql.catalyst.expressions.IntegralLiteralTestUtils.{negativeInt, positiveInt}
- import org.apache.spark.sql.catalyst.plans.logical.Filter
-+import org.apache.spark.sql.comet.{CometBatchScanExec, CometScanExec, CometSortMergeJoinExec}
- import org.apache.spark.sql.execution.{FileSourceScanLike, SimpleMode}
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.datasources.FilePartition
-@@ -815,6 +816,7 @@ class FileBasedDataSourceSuite extends QueryTest
-             assert(bJoinExec.isEmpty)
-             val smJoinExec = collect(joinedDF.queryExecution.executedPlan) {
-               case smJoin: SortMergeJoinExec => smJoin
-+              case smJoin: CometSortMergeJoinExec => smJoin
-             }
-             assert(smJoinExec.nonEmpty)
-           }
-@@ -875,6 +877,7 @@ class FileBasedDataSourceSuite extends QueryTest
- 
-           val fileScan = df.queryExecution.executedPlan collectFirst {
-             case BatchScanExec(_, f: FileScan, _, _, _, _, _, _, _) => f
-+            case CometBatchScanExec(BatchScanExec(_, f: FileScan, _, _, _, _, _, _, _), _) => f
-           }
-           assert(fileScan.nonEmpty)
-           assert(fileScan.get.partitionFilters.nonEmpty)
-@@ -916,6 +919,7 @@ class FileBasedDataSourceSuite extends QueryTest
- 
-           val fileScan = df.queryExecution.executedPlan collectFirst {
-             case BatchScanExec(_, f: FileScan, _, _, _, _, _, _, _) => f
-+            case CometBatchScanExec(BatchScanExec(_, f: FileScan, _, _, _, _, _, _, _), _) => f
-           }
-           assert(fileScan.nonEmpty)
-           assert(fileScan.get.partitionFilters.isEmpty)
-@@ -1100,6 +1104,8 @@ class FileBasedDataSourceSuite extends QueryTest
-           val filters = df.queryExecution.executedPlan.collect {
-             case f: FileSourceScanLike => f.dataFilters
-             case b: BatchScanExec => b.scan.asInstanceOf[FileScan].dataFilters
-+            case b: CometScanExec => b.dataFilters
-+            case b: CometBatchScanExec => b.scan.asInstanceOf[FileScan].dataFilters
-           }.flatten
-           assert(filters.contains(GreaterThan(scan.logicalPlan.output.head, Literal(5L))))
-         }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/IgnoreComet.scala b/sql/core/src/test/scala/org/apache/spark/sql/IgnoreComet.scala
-new file mode 100644
-index 00000000000..4b31bea33de
---- /dev/null
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/IgnoreComet.scala
-@@ -0,0 +1,42 @@
-+/*
-+ * 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
-+
-+import org.scalactic.source.Position
-+import org.scalatest.Tag
-+
-+import org.apache.spark.sql.test.SQLTestUtils
-+
-+/**
-+ * Tests with this tag will be ignored when Comet is enabled (e.g., via `ENABLE_COMET`).
-+ */
-+case class IgnoreComet(reason: String) extends Tag("DisableComet")
-+
-+/**
-+ * Helper trait that disables Comet for all tests regardless of default config values.
-+ */
-+trait IgnoreCometSuite extends SQLTestUtils {
-+  override protected def test(testName: String, testTags: Tag*)(testFun: => Any)
-+    (implicit pos: Position): Unit = {
-+    if (isCometEnabled) {
-+      ignore(testName + " (disabled when Comet is on)", testTags: _*)(testFun)
-+    } else {
-+      super.test(testName, testTags: _*)(testFun)
-+    }
-+  }
-+}
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JoinHintSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JoinHintSuite.scala
-index 1792b4c32eb..1616e6f39bd 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/JoinHintSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/JoinHintSuite.scala
-@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide
- import org.apache.spark.sql.catalyst.plans.PlanTest
- import org.apache.spark.sql.catalyst.plans.logical._
- import org.apache.spark.sql.catalyst.rules.RuleExecutor
-+import org.apache.spark.sql.comet.{CometHashJoinExec, CometSortMergeJoinExec}
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.joins._
- import org.apache.spark.sql.internal.SQLConf
-@@ -362,6 +363,7 @@ class JoinHintSuite extends PlanTest with SharedSparkSession with AdaptiveSparkP
-     val executedPlan = df.queryExecution.executedPlan
-     val shuffleHashJoins = collect(executedPlan) {
-       case s: ShuffledHashJoinExec => s
-+      case c: CometHashJoinExec => c.originalPlan.asInstanceOf[ShuffledHashJoinExec]
-     }
-     assert(shuffleHashJoins.size == 1)
-     assert(shuffleHashJoins.head.buildSide == buildSide)
-@@ -371,6 +373,7 @@ class JoinHintSuite extends PlanTest with SharedSparkSession with AdaptiveSparkP
-     val executedPlan = df.queryExecution.executedPlan
-     val shuffleMergeJoins = collect(executedPlan) {
-       case s: SortMergeJoinExec => s
-+      case c: CometSortMergeJoinExec => c
-     }
-     assert(shuffleMergeJoins.size == 1)
-   }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
-index 5125708be32..210ab4f3ce1 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
-@@ -29,6 +29,7 @@ import org.apache.spark.sql.catalyst.TableIdentifier
- import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
- import org.apache.spark.sql.catalyst.expressions.{Ascending, GenericRow, SortOrder}
- import org.apache.spark.sql.catalyst.plans.logical.Filter
-+import org.apache.spark.sql.comet._
- import org.apache.spark.sql.execution.{BinaryExecNode, FilterExec, ProjectExec, SortExec, SparkPlan, WholeStageCodegenExec}
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.exchange.{ShuffleExchangeExec, ShuffleExchangeLike}
-@@ -739,7 +740,8 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-     }
-   }
- 
--  test("test SortMergeJoin (with spill)") {
-+  test("test SortMergeJoin (with spill)",
-+      IgnoreComet("TODO: Comet SMJ doesn't support spill yet")) {
-     withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "1",
-       SQLConf.SORT_MERGE_JOIN_EXEC_BUFFER_IN_MEMORY_THRESHOLD.key -> "0",
-       SQLConf.SORT_MERGE_JOIN_EXEC_BUFFER_SPILL_THRESHOLD.key -> "1") {
-@@ -1114,9 +1116,11 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-       val plan = df1.join(df2.hint("SHUFFLE_HASH"), $"k1" === $"k2", joinType)
-         .groupBy($"k1").count()
-         .queryExecution.executedPlan
--      assert(collect(plan) { case _: ShuffledHashJoinExec => true }.size === 1)
-+      assert(collect(plan) {
-+        case _: ShuffledHashJoinExec | _: CometHashJoinExec => true }.size === 1)
-       // No extra shuffle before aggregate
--      assert(collect(plan) { case _: ShuffleExchangeExec => true }.size === 2)
-+      assert(collect(plan) {
-+        case _: ShuffleExchangeLike => true }.size === 2)
-     })
-   }
- 
-@@ -1133,10 +1137,11 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-         .join(df4.hint("SHUFFLE_MERGE"), $"k1" === $"k4", joinType)
-         .queryExecution
-         .executedPlan
--      assert(collect(plan) { case _: SortMergeJoinExec => true }.size === 2)
-+      assert(collect(plan) {
-+        case _: SortMergeJoinExec | _: CometSortMergeJoinExec => true }.size === 2)
-       assert(collect(plan) { case _: BroadcastHashJoinExec => true }.size === 1)
-       // No extra sort before last sort merge join
--      assert(collect(plan) { case _: SortExec => true }.size === 3)
-+      assert(collect(plan) { case _: SortExec | _: CometSortExec => true }.size === 3)
-     })
- 
-     // Test shuffled hash join
-@@ -1146,10 +1151,13 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-         .join(df4.hint("SHUFFLE_MERGE"), $"k1" === $"k4", joinType)
-         .queryExecution
-         .executedPlan
--      assert(collect(plan) { case _: SortMergeJoinExec => true }.size === 2)
--      assert(collect(plan) { case _: ShuffledHashJoinExec => true }.size === 1)
-+      assert(collect(plan) {
-+        case _: SortMergeJoinExec | _: CometSortMergeJoinExec => true }.size === 2)
-+      assert(collect(plan) {
-+        case _: ShuffledHashJoinExec | _: CometHashJoinExec => true }.size === 1)
-       // No extra sort before last sort merge join
--      assert(collect(plan) { case _: SortExec => true }.size === 3)
-+      assert(collect(plan) {
-+        case _: SortExec | _: CometSortExec => true }.size === 3)
-     })
-   }
- 
-@@ -1240,12 +1248,12 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-     inputDFs.foreach { case (df1, df2, joinExprs) =>
-       val smjDF = df1.join(df2.hint("SHUFFLE_MERGE"), joinExprs, "full")
-       assert(collect(smjDF.queryExecution.executedPlan) {
--        case _: SortMergeJoinExec => true }.size === 1)
-+        case _: SortMergeJoinExec | _: CometSortMergeJoinExec => true }.size === 1)
-       val smjResult = smjDF.collect()
- 
-       val shjDF = df1.join(df2.hint("SHUFFLE_HASH"), joinExprs, "full")
-       assert(collect(shjDF.queryExecution.executedPlan) {
--        case _: ShuffledHashJoinExec => true }.size === 1)
-+        case _: ShuffledHashJoinExec | _: CometHashJoinExec => true }.size === 1)
-       // Same result between shuffled hash join and sort merge join
-       checkAnswer(shjDF, smjResult)
-     }
-@@ -1340,7 +1348,8 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-           val plan = sql(getAggQuery(selectExpr, joinType)).queryExecution.executedPlan
-           assert(collect(plan) { case _: BroadcastNestedLoopJoinExec => true }.size === 1)
-           // Have shuffle before aggregation
--          assert(collect(plan) { case _: ShuffleExchangeExec => true }.size === 1)
-+          assert(collect(plan) {
-+            case _: ShuffleExchangeLike => true }.size === 1)
-       }
- 
-       def getJoinQuery(selectExpr: String, joinType: String): String = {
-@@ -1369,9 +1378,12 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-           }
-           val plan = sql(getJoinQuery(selectExpr, joinType)).queryExecution.executedPlan
-           assert(collect(plan) { case _: BroadcastNestedLoopJoinExec => true }.size === 1)
--          assert(collect(plan) { case _: SortMergeJoinExec => true }.size === 3)
-+          assert(collect(plan) {
-+            case _: SortMergeJoinExec => true
-+            case _: CometSortMergeJoinExec => true
-+          }.size === 3)
-           // No extra sort on left side before last sort merge join
--          assert(collect(plan) { case _: SortExec => true }.size === 5)
-+          assert(collect(plan) { case _: SortExec | _: CometSortExec => true }.size === 5)
-       }
- 
-       // Test output ordering is not preserved
-@@ -1380,9 +1392,12 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-           val selectExpr = "/*+ BROADCAST(left_t) */ k1 as k0"
-           val plan = sql(getJoinQuery(selectExpr, joinType)).queryExecution.executedPlan
-           assert(collect(plan) { case _: BroadcastNestedLoopJoinExec => true }.size === 1)
--          assert(collect(plan) { case _: SortMergeJoinExec => true }.size === 3)
-+          assert(collect(plan) {
-+            case _: SortMergeJoinExec => true
-+            case _: CometSortMergeJoinExec => true
-+          }.size === 3)
-           // Have sort on left side before last sort merge join
--          assert(collect(plan) { case _: SortExec => true }.size === 6)
-+          assert(collect(plan) { case _: SortExec | _: CometSortExec => true }.size === 6)
-       }
- 
-       // Test singe partition
-@@ -1392,7 +1407,8 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
-            |FROM range(0, 10, 1, 1) t1 FULL OUTER JOIN range(0, 10, 1, 1) t2
-            |""".stripMargin)
-       val plan = fullJoinDF.queryExecution.executedPlan
--      assert(collect(plan) { case _: ShuffleExchangeExec => true}.size == 1)
-+      assert(collect(plan) {
-+        case _: ShuffleExchangeLike => true}.size == 1)
-       checkAnswer(fullJoinDF, Row(100))
-     }
-   }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
-index b5b34922694..a72403780c4 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
-@@ -69,7 +69,7 @@ import org.apache.spark.tags.ExtendedSQLTest
-  * }}}
-  */
- // scalastyle:on line.size.limit
--trait PlanStabilitySuite extends DisableAdaptiveExecutionSuite {
-+trait PlanStabilitySuite extends DisableAdaptiveExecutionSuite with IgnoreCometSuite {
- 
-   protected val baseResourcePath = {
-     // use the same way as `SQLQueryTestSuite` to get the resource path
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
-index 525d97e4998..8a3e7457618 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
-@@ -1508,7 +1508,8 @@ class SQLQuerySuite extends QueryTest with SharedSparkSession with AdaptiveSpark
-     checkAnswer(sql("select -0.001"), Row(BigDecimal("-0.001")))
-   }
- 
--  test("external sorting updates peak execution memory") {
-+  test("external sorting updates peak execution memory",
-+    IgnoreComet("TODO: native CometSort does not update peak execution memory")) {
-     AccumulatorSuite.verifyPeakExecutionMemorySet(sparkContext, "external sort") {
-       sql("SELECT * FROM testData2 ORDER BY a ASC, b ASC").collect()
-     }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
-index 3cfda19134a..7590b808def 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/SubquerySuite.scala
-@@ -21,10 +21,11 @@ import scala.collection.mutable.ArrayBuffer
- 
- import org.apache.spark.sql.catalyst.expressions.SubqueryExpression
- import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Join, LogicalPlan, Project, Sort, Union}
-+import org.apache.spark.sql.comet.CometScanExec
- import org.apache.spark.sql.execution._
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecution}
- import org.apache.spark.sql.execution.datasources.FileScanRDD
--import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-+import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
- import org.apache.spark.sql.execution.joins.{BaseJoinExec, BroadcastHashJoinExec, BroadcastNestedLoopJoinExec}
- import org.apache.spark.sql.internal.SQLConf
- import org.apache.spark.sql.test.SharedSparkSession
-@@ -1543,6 +1544,12 @@ class SubquerySuite extends QueryTest
-             fs.inputRDDs().forall(
-               _.asInstanceOf[FileScanRDD].filePartitions.forall(
-                 _.files.forall(_.urlEncodedPath.contains("p=0"))))
-+        case WholeStageCodegenExec(ColumnarToRowExec(InputAdapter(
-+        fs @ CometScanExec(_, _, _, partitionFilters, _, _, _, _, _, _)))) =>
-+          partitionFilters.exists(ExecSubqueryExpression.hasSubquery) &&
-+            fs.inputRDDs().forall(
-+              _.asInstanceOf[FileScanRDD].filePartitions.forall(
-+                _.files.forall(_.urlEncodedPath.contains("p=0"))))
-         case _ => false
-       })
-     }
-@@ -2108,7 +2115,7 @@ class SubquerySuite extends QueryTest
- 
-       df.collect()
-       val exchanges = collect(df.queryExecution.executedPlan) {
--        case s: ShuffleExchangeExec => s
-+        case s: ShuffleExchangeLike => s
-       }
-       assert(exchanges.size === 1)
-     }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
-index 02990a7a40d..bddf5e1ccc2 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2Suite.scala
-@@ -24,6 +24,7 @@ import test.org.apache.spark.sql.connector._
- 
- import org.apache.spark.sql.{AnalysisException, DataFrame, QueryTest, Row}
- import org.apache.spark.sql.catalyst.InternalRow
-+import org.apache.spark.sql.comet.CometSortExec
- import org.apache.spark.sql.connector.catalog.{PartitionInternalRow, SupportsRead, Table, TableCapability, TableProvider}
- import org.apache.spark.sql.connector.catalog.TableCapability._
- import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, Literal, NamedReference, NullOrdering, SortDirection, SortOrder, Transform}
-@@ -33,7 +34,7 @@ import org.apache.spark.sql.connector.read.partitioning.{KeyGroupedPartitioning,
- import org.apache.spark.sql.execution.SortExec
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.datasources.v2.{BatchScanExec, DataSourceV2Relation, DataSourceV2ScanRelation}
--import org.apache.spark.sql.execution.exchange.{Exchange, ShuffleExchangeExec}
-+import org.apache.spark.sql.execution.exchange.{Exchange, ShuffleExchangeExec, ShuffleExchangeLike}
- import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector
- import org.apache.spark.sql.expressions.Window
- import org.apache.spark.sql.functions._
-@@ -268,13 +269,13 @@ class DataSourceV2Suite extends QueryTest with SharedSparkSession with AdaptiveS
-           val groupByColJ = df.groupBy($"j").agg(sum($"i"))
-           checkAnswer(groupByColJ, Seq(Row(2, 8), Row(4, 2), Row(6, 5)))
-           assert(collectFirst(groupByColJ.queryExecution.executedPlan) {
--            case e: ShuffleExchangeExec => e
-+            case e: ShuffleExchangeLike => e
-           }.isDefined)
- 
-           val groupByIPlusJ = df.groupBy($"i" + $"j").agg(count("*"))
-           checkAnswer(groupByIPlusJ, Seq(Row(5, 2), Row(6, 2), Row(8, 1), Row(9, 1)))
-           assert(collectFirst(groupByIPlusJ.queryExecution.executedPlan) {
--            case e: ShuffleExchangeExec => e
-+            case e: ShuffleExchangeLike => e
-           }.isDefined)
-         }
-       }
-@@ -334,10 +335,11 @@ class DataSourceV2Suite extends QueryTest with SharedSparkSession with AdaptiveS
- 
-                 val (shuffleExpected, sortExpected) = groupByExpects
-                 assert(collectFirst(groupBy.queryExecution.executedPlan) {
--                  case e: ShuffleExchangeExec => e
-+                  case e: ShuffleExchangeLike => e
-                 }.isDefined === shuffleExpected)
-                 assert(collectFirst(groupBy.queryExecution.executedPlan) {
-                   case e: SortExec => e
-+                  case c: CometSortExec => c
-                 }.isDefined === sortExpected)
-               }
- 
-@@ -352,10 +354,11 @@ class DataSourceV2Suite extends QueryTest with SharedSparkSession with AdaptiveS
- 
-                 val (shuffleExpected, sortExpected) = windowFuncExpects
-                 assert(collectFirst(windowPartByColIOrderByColJ.queryExecution.executedPlan) {
--                  case e: ShuffleExchangeExec => e
-+                  case e: ShuffleExchangeLike => e
-                 }.isDefined === shuffleExpected)
-                 assert(collectFirst(windowPartByColIOrderByColJ.queryExecution.executedPlan) {
-                   case e: SortExec => e
-+                  case c: CometSortExec => c
-                 }.isDefined === sortExpected)
-               }
-             }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/FileDataSourceV2FallBackSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/FileDataSourceV2FallBackSuite.scala
-index cfc8b2cc845..c6fcfd7bd08 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/connector/FileDataSourceV2FallBackSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/FileDataSourceV2FallBackSuite.scala
-@@ -21,6 +21,7 @@ import scala.collection.mutable.ArrayBuffer
- import org.apache.spark.SparkConf
- import org.apache.spark.sql.{AnalysisException, QueryTest}
- import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
-+import org.apache.spark.sql.comet.CometScanExec
- import org.apache.spark.sql.connector.catalog.{SupportsRead, SupportsWrite, Table, TableCapability}
- import org.apache.spark.sql.connector.read.ScanBuilder
- import org.apache.spark.sql.connector.write.{LogicalWriteInfo, WriteBuilder}
-@@ -184,7 +185,11 @@ class FileDataSourceV2FallBackSuite extends QueryTest with SharedSparkSession {
-             val df = spark.read.format(format).load(path.getCanonicalPath)
-             checkAnswer(df, inputData.toDF())
-             assert(
--              df.queryExecution.executedPlan.exists(_.isInstanceOf[FileSourceScanExec]))
-+              df.queryExecution.executedPlan.exists {
-+                case _: FileSourceScanExec | _: CometScanExec => true
-+                case _ => false
-+              }
-+            )
-           }
-         } finally {
-           spark.listenerManager.unregister(listener)
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
-index cf76f6ca32c..f454128af06 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/KeyGroupedPartitioningSuite.scala
-@@ -22,6 +22,7 @@ import org.apache.spark.sql.{DataFrame, Row}
- import org.apache.spark.sql.catalyst.InternalRow
- import org.apache.spark.sql.catalyst.expressions.{Literal, TransformExpression}
- import org.apache.spark.sql.catalyst.plans.physical
-+import org.apache.spark.sql.comet.CometSortMergeJoinExec
- import org.apache.spark.sql.connector.catalog.Identifier
- import org.apache.spark.sql.connector.catalog.InMemoryTableCatalog
- import org.apache.spark.sql.connector.catalog.functions._
-@@ -31,7 +32,7 @@ import org.apache.spark.sql.connector.expressions.Expressions._
- import org.apache.spark.sql.execution.SparkPlan
- import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
- import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
--import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-+import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
- import org.apache.spark.sql.execution.joins.SortMergeJoinExec
- import org.apache.spark.sql.internal.SQLConf
- import org.apache.spark.sql.internal.SQLConf._
-@@ -279,13 +280,14 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
-         Row("bbb", 20, 250.0), Row("bbb", 20, 350.0), Row("ccc", 30, 400.50)))
-   }
- 
--  private def collectShuffles(plan: SparkPlan): Seq[ShuffleExchangeExec] = {
-+  private def collectShuffles(plan: SparkPlan): Seq[ShuffleExchangeLike] = {
-     // here we skip collecting shuffle operators that are not associated with SMJ
-     collect(plan) {
-       case s: SortMergeJoinExec => s
-+      case c: CometSortMergeJoinExec => c.originalPlan
-     }.flatMap(smj =>
-       collect(smj) {
--        case s: ShuffleExchangeExec => s
-+        case s: ShuffleExchangeLike => s
-       })
-   }
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
-index c0ec8a58bd5..4e8bc6ed3c5 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/errors/QueryExecutionErrorsSuite.scala
-@@ -27,7 +27,7 @@ import org.apache.hadoop.fs.permission.FsPermission
- import org.mockito.Mockito.{mock, spy, when}
- 
- import org.apache.spark._
--import org.apache.spark.sql.{AnalysisException, DataFrame, Dataset, QueryTest, Row, SaveMode}
-+import org.apache.spark.sql.{AnalysisException, DataFrame, Dataset, IgnoreComet, QueryTest, Row, SaveMode}
- import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode._
- import org.apache.spark.sql.catalyst.util.BadRecordException
- import org.apache.spark.sql.execution.datasources.jdbc.{DriverRegistry, JDBCOptions}
-@@ -248,7 +248,8 @@ class QueryExecutionErrorsSuite
-   }
- 
-   test("INCONSISTENT_BEHAVIOR_CROSS_VERSION: " +
--    "compatibility with Spark 2.4/3.2 in reading/writing dates") {
-+    "compatibility with Spark 2.4/3.2 in reading/writing dates",
-+    IgnoreComet("Comet doesn't completely support datetime rebase mode yet")) {
- 
-     // Fail to read ancient datetime values.
-     withSQLConf(SQLConf.PARQUET_REBASE_MODE_IN_READ.key -> EXCEPTION.toString) {
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/DataSourceScanExecRedactionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/DataSourceScanExecRedactionSuite.scala
-index 418ca3430bb..eb8267192f8 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/DataSourceScanExecRedactionSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/DataSourceScanExecRedactionSuite.scala
-@@ -23,7 +23,7 @@ import scala.util.Random
- import org.apache.hadoop.fs.Path
- 
- import org.apache.spark.SparkConf
--import org.apache.spark.sql.{DataFrame, QueryTest}
-+import org.apache.spark.sql.{DataFrame, IgnoreComet, QueryTest}
- import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
- import org.apache.spark.sql.execution.datasources.v2.orc.OrcScan
- import org.apache.spark.sql.internal.SQLConf
-@@ -195,7 +195,7 @@ class DataSourceV2ScanExecRedactionSuite extends DataSourceScanRedactionTest {
-     }
-   }
- 
--  test("FileScan description") {
-+  test("FileScan description", IgnoreComet("Comet doesn't use BatchScan")) {
-     Seq("json", "orc", "parquet").foreach { format =>
-       withTempPath { path =>
-         val dir = path.getCanonicalPath
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/LogicalPlanTagInSparkPlanSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/LogicalPlanTagInSparkPlanSuite.scala
-index 743ec41dbe7..9f30d6c8e04 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/LogicalPlanTagInSparkPlanSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/LogicalPlanTagInSparkPlanSuite.scala
-@@ -53,6 +53,10 @@ class LogicalPlanTagInSparkPlanSuite extends TPCDSQuerySuite with DisableAdaptiv
-     case ColumnarToRowExec(i: InputAdapter) => isScanPlanTree(i.child)
-     case p: ProjectExec => isScanPlanTree(p.child)
-     case f: FilterExec => isScanPlanTree(f.child)
-+    // Comet produces scan plan tree like:
-+    // ColumnarToRow
-+    //  +- ReusedExchange
-+    case _: ReusedExchangeExec => false
-     case _: LeafExecNode => true
-     case _ => false
-   }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala
-index 4b3d3a4b805..56e1e0e6f16 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/PlannerSuite.scala
-@@ -18,7 +18,7 @@
- package org.apache.spark.sql.execution
- 
- import org.apache.spark.rdd.RDD
--import org.apache.spark.sql.{execution, DataFrame, Row}
-+import org.apache.spark.sql.{execution, DataFrame, IgnoreCometSuite, Row}
- import org.apache.spark.sql.catalyst.InternalRow
- import org.apache.spark.sql.catalyst.expressions._
- import org.apache.spark.sql.catalyst.plans._
-@@ -35,7 +35,9 @@ import org.apache.spark.sql.internal.SQLConf
- import org.apache.spark.sql.test.SharedSparkSession
- import org.apache.spark.sql.types._
- 
--class PlannerSuite extends SharedSparkSession with AdaptiveSparkPlanHelper {
-+// Ignore this suite when Comet is enabled. This suite tests the Spark planner and Comet planner
-+// comes out with too many difference. Simply ignoring this suite for now.
-+class PlannerSuite extends SharedSparkSession with AdaptiveSparkPlanHelper with IgnoreCometSuite {
-   import testImplicits._
- 
-   setupTestData()
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala
-index 9e9d717db3b..91a4f9a38d5 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantProjectsSuite.scala
-@@ -18,6 +18,7 @@
- package org.apache.spark.sql.execution
- 
- import org.apache.spark.sql.{DataFrame, QueryTest, Row}
-+import org.apache.spark.sql.comet.CometProjectExec
- import org.apache.spark.sql.connector.SimpleWritableDataSource
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
- import org.apache.spark.sql.internal.SQLConf
-@@ -34,7 +35,10 @@ abstract class RemoveRedundantProjectsSuiteBase
-   private def assertProjectExecCount(df: DataFrame, expected: Int): Unit = {
-     withClue(df.queryExecution) {
-       val plan = df.queryExecution.executedPlan
--      val actual = collectWithSubqueries(plan) { case p: ProjectExec => p }.size
-+      val actual = collectWithSubqueries(plan) {
-+        case p: ProjectExec => p
-+        case p: CometProjectExec => p
-+      }.size
-       assert(actual == expected)
-     }
-   }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala
-index 30ce940b032..0d3f6c6c934 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/RemoveRedundantSortsSuite.scala
-@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution
- 
- import org.apache.spark.sql.{DataFrame, QueryTest}
- import org.apache.spark.sql.catalyst.plans.physical.{RangePartitioning, UnknownPartitioning}
-+import org.apache.spark.sql.comet.CometSortExec
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
- import org.apache.spark.sql.execution.joins.ShuffledJoin
- import org.apache.spark.sql.internal.SQLConf
-@@ -33,7 +34,7 @@ abstract class RemoveRedundantSortsSuiteBase
- 
-   private def checkNumSorts(df: DataFrame, count: Int): Unit = {
-     val plan = df.queryExecution.executedPlan
--    assert(collectWithSubqueries(plan) { case s: SortExec => s }.length == count)
-+    assert(collectWithSubqueries(plan) { case _: SortExec | _: CometSortExec => 1 }.length == count)
-   }
- 
-   private def checkSorts(query: String, enabledCount: Int, disabledCount: Int): Unit = {
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/ReplaceHashWithSortAggSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/ReplaceHashWithSortAggSuite.scala
-index 47679ed7865..9ffbaecb98e 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/ReplaceHashWithSortAggSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/ReplaceHashWithSortAggSuite.scala
-@@ -18,6 +18,7 @@
- package org.apache.spark.sql.execution
- 
- import org.apache.spark.sql.{DataFrame, QueryTest}
-+import org.apache.spark.sql.comet.CometHashAggregateExec
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
- import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, ObjectHashAggregateExec, SortAggregateExec}
- import org.apache.spark.sql.internal.SQLConf
-@@ -31,7 +32,7 @@ abstract class ReplaceHashWithSortAggSuiteBase
-   private def checkNumAggs(df: DataFrame, hashAggCount: Int, sortAggCount: Int): Unit = {
-     val plan = df.queryExecution.executedPlan
-     assert(collectWithSubqueries(plan) {
--      case s @ (_: HashAggregateExec | _: ObjectHashAggregateExec) => s
-+      case s @ (_: HashAggregateExec | _: ObjectHashAggregateExec | _: CometHashAggregateExec ) => s
-     }.length == hashAggCount)
-     assert(collectWithSubqueries(plan) { case s: SortAggregateExec => s }.length == sortAggCount)
-   }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
-index ac710c32296..e163c1a6a76 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
-@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution
- 
- import org.apache.spark.sql.{Dataset, QueryTest, Row, SaveMode}
- import org.apache.spark.sql.catalyst.expressions.codegen.{ByteCodeStats, CodeAndComment, CodeGenerator}
-+import org.apache.spark.sql.comet.CometSortMergeJoinExec
- import org.apache.spark.sql.execution.adaptive.DisableAdaptiveExecutionSuite
- import org.apache.spark.sql.execution.aggregate.{HashAggregateExec, SortAggregateExec}
- import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
-@@ -224,6 +225,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-       assert(twoJoinsDF.queryExecution.executedPlan.collect {
-         case WholeStageCodegenExec(_ : ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
-         case WholeStageCodegenExec(_ : SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
-+        case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
-       }.size === 2)
-       checkAnswer(twoJoinsDF,
-         Seq(Row(0, 0, 0), Row(1, 1, null), Row(2, 2, 2), Row(3, 3, null), Row(4, 4, null),
-@@ -258,6 +260,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-       .join(df1.hint("SHUFFLE_MERGE"), $"k3" === $"k1", "right_outer")
-     assert(twoJoinsDF.queryExecution.executedPlan.collect {
-       case WholeStageCodegenExec(_ : SortMergeJoinExec) => true
-+      case _: CometSortMergeJoinExec => true
-     }.size === 2)
-     checkAnswer(twoJoinsDF,
-       Seq(Row(0, 0, 0), Row(1, 1, 1), Row(2, 2, 2), Row(3, 3, 3), Row(4, null, 4), Row(5, null, 5),
-@@ -280,8 +283,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-     val twoJoinsDF = df3.join(df2.hint("SHUFFLE_MERGE"), $"k3" === $"k2", "left_semi")
-       .join(df1.hint("SHUFFLE_MERGE"), $"k3" === $"k1", "left_semi")
-     assert(twoJoinsDF.queryExecution.executedPlan.collect {
--      case WholeStageCodegenExec(ProjectExec(_, _ : SortMergeJoinExec)) |
--           WholeStageCodegenExec(_ : SortMergeJoinExec) => true
-+      case _: SortMergeJoinExec => true
-     }.size === 2)
-     checkAnswer(twoJoinsDF, Seq(Row(0), Row(1), Row(2), Row(3)))
-   }
-@@ -302,8 +304,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-     val twoJoinsDF = df1.join(df2.hint("SHUFFLE_MERGE"), $"k1" === $"k2", "left_anti")
-       .join(df3.hint("SHUFFLE_MERGE"), $"k1" === $"k3", "left_anti")
-     assert(twoJoinsDF.queryExecution.executedPlan.collect {
--      case WholeStageCodegenExec(ProjectExec(_, _ : SortMergeJoinExec)) |
--           WholeStageCodegenExec(_ : SortMergeJoinExec) => true
-+      case _: SortMergeJoinExec => true
-     }.size === 2)
-     checkAnswer(twoJoinsDF, Seq(Row(6), Row(7), Row(8), Row(9)))
-   }
-@@ -436,7 +437,9 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-     val plan = df.queryExecution.executedPlan
-     assert(plan.exists(p =>
-       p.isInstanceOf[WholeStageCodegenExec] &&
--        p.asInstanceOf[WholeStageCodegenExec].child.isInstanceOf[SortExec]))
-+        p.asInstanceOf[WholeStageCodegenExec].collect {
-+          case _: SortExec => true
-+        }.nonEmpty))
-     assert(df.collect() === Array(Row(1), Row(2), Row(3)))
-   }
- 
-@@ -616,7 +619,9 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-           .write.mode(SaveMode.Overwrite).parquet(path)
- 
-         withSQLConf(SQLConf.WHOLESTAGE_MAX_NUM_FIELDS.key -> "255",
--            SQLConf.WHOLESTAGE_SPLIT_CONSUME_FUNC_BY_OPERATOR.key -> "true") {
-+            SQLConf.WHOLESTAGE_SPLIT_CONSUME_FUNC_BY_OPERATOR.key -> "true",
-+            // Disable Comet native execution because this checks wholestage codegen.
-+            "spark.comet.exec.enabled" -> "false") {
-           val projection = Seq.tabulate(columnNum)(i => s"c$i + c$i as newC$i")
-           val df = spark.read.parquet(path).selectExpr(projection: _*)
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
-index 593bd7bb4ba..7ad55e3ab20 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/adaptive/AdaptiveQueryExecSuite.scala
-@@ -26,9 +26,11 @@ import org.scalatest.time.SpanSugar._
- 
- import org.apache.spark.SparkException
- import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent, SparkListenerJobStart}
--import org.apache.spark.sql.{Dataset, QueryTest, Row, SparkSession, Strategy}
-+import org.apache.spark.sql.{Dataset, IgnoreComet, QueryTest, Row, SparkSession, Strategy}
- import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
- import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan}
-+import org.apache.spark.sql.comet._
-+import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
- import org.apache.spark.sql.execution.{CollectLimitExec, LocalTableScanExec, PartialReducerPartitionSpec, QueryExecution, ReusedSubqueryExec, ShuffledRowRDD, SortExec, SparkPlan, SparkPlanInfo, UnionExec}
- import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
- import org.apache.spark.sql.execution.command.DataWritingCommandExec
-@@ -104,6 +106,7 @@ class AdaptiveQueryExecSuite
-   private def findTopLevelBroadcastHashJoin(plan: SparkPlan): Seq[BroadcastHashJoinExec] = {
-     collect(plan) {
-       case j: BroadcastHashJoinExec => j
-+      case j: CometBroadcastHashJoinExec => j.originalPlan.asInstanceOf[BroadcastHashJoinExec]
-     }
-   }
- 
-@@ -116,30 +119,38 @@ class AdaptiveQueryExecSuite
-   private def findTopLevelSortMergeJoin(plan: SparkPlan): Seq[SortMergeJoinExec] = {
-     collect(plan) {
-       case j: SortMergeJoinExec => j
-+      case j: CometSortMergeJoinExec =>
-+        assert(j.originalPlan.isInstanceOf[SortMergeJoinExec])
-+        j.originalPlan.asInstanceOf[SortMergeJoinExec]
-     }
-   }
- 
-   private def findTopLevelShuffledHashJoin(plan: SparkPlan): Seq[ShuffledHashJoinExec] = {
-     collect(plan) {
-       case j: ShuffledHashJoinExec => j
-+      case j: CometHashJoinExec => j.originalPlan.asInstanceOf[ShuffledHashJoinExec]
-     }
-   }
- 
-   private def findTopLevelBaseJoin(plan: SparkPlan): Seq[BaseJoinExec] = {
-     collect(plan) {
-       case j: BaseJoinExec => j
-+      case c: CometHashJoinExec => c.originalPlan.asInstanceOf[BaseJoinExec]
-+      case c: CometSortMergeJoinExec => c.originalPlan.asInstanceOf[BaseJoinExec]
-     }
-   }
- 
-   private def findTopLevelSort(plan: SparkPlan): Seq[SortExec] = {
-     collect(plan) {
-       case s: SortExec => s
-+      case s: CometSortExec => s.originalPlan.asInstanceOf[SortExec]
-     }
-   }
- 
-   private def findTopLevelAggregate(plan: SparkPlan): Seq[BaseAggregateExec] = {
-     collect(plan) {
-       case agg: BaseAggregateExec => agg
-+      case agg: CometHashAggregateExec => agg.originalPlan.asInstanceOf[BaseAggregateExec]
-     }
-   }
- 
-@@ -176,6 +187,7 @@ class AdaptiveQueryExecSuite
-       val parts = rdd.partitions
-       assert(parts.forall(rdd.preferredLocations(_).nonEmpty))
-     }
-+
-     assert(numShuffles === (numLocalReads.length + numShufflesWithoutLocalRead))
-   }
- 
-@@ -184,7 +196,7 @@ class AdaptiveQueryExecSuite
-     val plan = df.queryExecution.executedPlan
-     assert(plan.isInstanceOf[AdaptiveSparkPlanExec])
-     val shuffle = plan.asInstanceOf[AdaptiveSparkPlanExec].executedPlan.collect {
--      case s: ShuffleExchangeExec => s
-+      case s: ShuffleExchangeLike => s
-     }
-     assert(shuffle.size == 1)
-     assert(shuffle(0).outputPartitioning.numPartitions == numPartition)
-@@ -200,7 +212,8 @@ class AdaptiveQueryExecSuite
-       assert(smj.size == 1)
-       val bhj = findTopLevelBroadcastHashJoin(adaptivePlan)
-       assert(bhj.size == 1)
--      checkNumLocalShuffleReads(adaptivePlan)
-+      // Comet shuffle changes shuffle metrics
-+      // checkNumLocalShuffleReads(adaptivePlan)
-     }
-   }
- 
-@@ -227,7 +240,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("Reuse the parallelism of coalesced shuffle in local shuffle read") {
-+  test("Reuse the parallelism of coalesced shuffle in local shuffle read",
-+      IgnoreComet("Comet shuffle changes shuffle partition size")) {
-     withSQLConf(
-       SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-       SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80",
-@@ -259,7 +273,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("Reuse the default parallelism in local shuffle read") {
-+  test("Reuse the default parallelism in local shuffle read",
-+      IgnoreComet("Comet shuffle changes shuffle partition size")) {
-     withSQLConf(
-       SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-       SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80",
-@@ -273,7 +288,8 @@ class AdaptiveQueryExecSuite
-       val localReads = collect(adaptivePlan) {
-         case read: AQEShuffleReadExec if read.isLocalRead => read
-       }
--      assert(localReads.length == 2)
-+      // Comet shuffle changes shuffle metrics
-+      assert(localReads.length == 1)
-       val localShuffleRDD0 = localReads(0).execute().asInstanceOf[ShuffledRowRDD]
-       val localShuffleRDD1 = localReads(1).execute().asInstanceOf[ShuffledRowRDD]
-       // the final parallelism is math.max(1, numReduces / numMappers): math.max(1, 5/2) = 2
-@@ -322,7 +338,7 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("Scalar subquery") {
-+  test("Scalar subquery", IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80") {
-@@ -337,7 +353,7 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("Scalar subquery in later stages") {
-+  test("Scalar subquery in later stages", IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80") {
-@@ -353,7 +369,7 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("multiple joins") {
-+  test("multiple joins", IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80") {
-@@ -398,7 +414,7 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("multiple joins with aggregate") {
-+  test("multiple joins with aggregate", IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80") {
-@@ -443,7 +459,7 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("multiple joins with aggregate 2") {
-+  test("multiple joins with aggregate 2", IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "500") {
-@@ -508,7 +524,7 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("Exchange reuse with subqueries") {
-+  test("Exchange reuse with subqueries", IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80") {
-@@ -539,7 +555,9 @@ class AdaptiveQueryExecSuite
-       assert(smj.size == 1)
-       val bhj = findTopLevelBroadcastHashJoin(adaptivePlan)
-       assert(bhj.size == 1)
--      checkNumLocalShuffleReads(adaptivePlan)
-+      // Comet shuffle changes shuffle metrics,
-+      // so we can't check the number of local shuffle reads.
-+      // checkNumLocalShuffleReads(adaptivePlan)
-       // Even with local shuffle read, the query stage reuse can also work.
-       val ex = findReusedExchange(adaptivePlan)
-       assert(ex.nonEmpty)
-@@ -560,7 +578,9 @@ class AdaptiveQueryExecSuite
-       assert(smj.size == 1)
-       val bhj = findTopLevelBroadcastHashJoin(adaptivePlan)
-       assert(bhj.size == 1)
--      checkNumLocalShuffleReads(adaptivePlan)
-+      // Comet shuffle changes shuffle metrics,
-+      // so we can't check the number of local shuffle reads.
-+      // checkNumLocalShuffleReads(adaptivePlan)
-       // Even with local shuffle read, the query stage reuse can also work.
-       val ex = findReusedExchange(adaptivePlan)
-       assert(ex.isEmpty)
-@@ -569,7 +589,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("Broadcast exchange reuse across subqueries") {
-+  test("Broadcast exchange reuse across subqueries",
-+      IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "20000000",
-@@ -664,7 +685,8 @@ class AdaptiveQueryExecSuite
-       val bhj = findTopLevelBroadcastHashJoin(adaptivePlan)
-       assert(bhj.size == 1)
-       // There is still a SMJ, and its two shuffles can't apply local read.
--      checkNumLocalShuffleReads(adaptivePlan, 2)
-+      // Comet shuffle changes shuffle metrics
-+      // checkNumLocalShuffleReads(adaptivePlan, 2)
-     }
-   }
- 
-@@ -786,7 +808,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("SPARK-29544: adaptive skew join with different join types") {
-+  test("SPARK-29544: adaptive skew join with different join types",
-+      IgnoreComet("Comet shuffle has different partition metrics")) {
-     Seq("SHUFFLE_MERGE", "SHUFFLE_HASH").foreach { joinHint =>
-       def getJoinNode(plan: SparkPlan): Seq[ShuffledJoin] = if (joinHint == "SHUFFLE_MERGE") {
-         findTopLevelSortMergeJoin(plan)
-@@ -1004,7 +1027,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("metrics of the shuffle read") {
-+  test("metrics of the shuffle read",
-+      IgnoreComet("Comet shuffle changes the metrics")) {
-     withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true") {
-       val (_, adaptivePlan) = runAdaptiveAndVerifyResult(
-         "SELECT key FROM testData GROUP BY key")
-@@ -1599,7 +1623,7 @@ class AdaptiveQueryExecSuite
-         val (_, adaptivePlan) = runAdaptiveAndVerifyResult(
-           "SELECT id FROM v1 GROUP BY id DISTRIBUTE BY id")
-         assert(collect(adaptivePlan) {
--          case s: ShuffleExchangeExec => s
-+          case s: ShuffleExchangeLike => s
-         }.length == 1)
-       }
-     }
-@@ -1679,7 +1703,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("SPARK-33551: Do not use AQE shuffle read for repartition") {
-+  test("SPARK-33551: Do not use AQE shuffle read for repartition",
-+      IgnoreComet("Comet shuffle changes partition size")) {
-     def hasRepartitionShuffle(plan: SparkPlan): Boolean = {
-       find(plan) {
-         case s: ShuffleExchangeLike =>
-@@ -1864,6 +1889,9 @@ class AdaptiveQueryExecSuite
-     def checkNoCoalescePartitions(ds: Dataset[Row], origin: ShuffleOrigin): Unit = {
-       assert(collect(ds.queryExecution.executedPlan) {
-         case s: ShuffleExchangeExec if s.shuffleOrigin == origin && s.numPartitions == 2 => s
-+        case c: CometShuffleExchangeExec
-+          if c.originalPlan.shuffleOrigin == origin &&
-+            c.originalPlan.numPartitions == 2 => c
-       }.size == 1)
-       ds.collect()
-       val plan = ds.queryExecution.executedPlan
-@@ -1872,6 +1900,9 @@ class AdaptiveQueryExecSuite
-       }.isEmpty)
-       assert(collect(plan) {
-         case s: ShuffleExchangeExec if s.shuffleOrigin == origin && s.numPartitions == 2 => s
-+        case c: CometShuffleExchangeExec
-+          if c.originalPlan.shuffleOrigin == origin &&
-+            c.originalPlan.numPartitions == 2 => c
-       }.size == 1)
-       checkAnswer(ds, testData)
-     }
-@@ -2028,7 +2059,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("SPARK-35264: Support AQE side shuffled hash join formula") {
-+  test("SPARK-35264: Support AQE side shuffled hash join formula",
-+      IgnoreComet("Comet shuffle changes the partition size")) {
-     withTempView("t1", "t2") {
-       def checkJoinStrategy(shouldShuffleHashJoin: Boolean): Unit = {
-         Seq("100", "100000").foreach { size =>
-@@ -2114,7 +2146,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("SPARK-35725: Support optimize skewed partitions in RebalancePartitions") {
-+  test("SPARK-35725: Support optimize skewed partitions in RebalancePartitions",
-+      IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withTempView("v") {
-       withSQLConf(
-         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
-@@ -2213,7 +2246,7 @@ class AdaptiveQueryExecSuite
-               runAdaptiveAndVerifyResult(s"SELECT $repartition key1 FROM skewData1 " +
-                 s"JOIN skewData2 ON key1 = key2 GROUP BY key1")
-             val shuffles1 = collect(adaptive1) {
--              case s: ShuffleExchangeExec => s
-+              case s: ShuffleExchangeLike => s
-             }
-             assert(shuffles1.size == 3)
-             // shuffles1.head is the top-level shuffle under the Aggregate operator
-@@ -2226,7 +2259,7 @@ class AdaptiveQueryExecSuite
-               runAdaptiveAndVerifyResult(s"SELECT $repartition key1 FROM skewData1 " +
-                 s"JOIN skewData2 ON key1 = key2")
-             val shuffles2 = collect(adaptive2) {
--              case s: ShuffleExchangeExec => s
-+              case s: ShuffleExchangeLike => s
-             }
-             if (hasRequiredDistribution) {
-               assert(shuffles2.size == 3)
-@@ -2260,7 +2293,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("SPARK-35794: Allow custom plugin for cost evaluator") {
-+  test("SPARK-35794: Allow custom plugin for cost evaluator",
-+      IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     CostEvaluator.instantiate(
-       classOf[SimpleShuffleSortCostEvaluator].getCanonicalName, spark.sparkContext.getConf)
-     intercept[IllegalArgumentException] {
-@@ -2404,6 +2438,7 @@ class AdaptiveQueryExecSuite
-           val (_, adaptive) = runAdaptiveAndVerifyResult(query)
-           assert(adaptive.collect {
-             case sort: SortExec => sort
-+            case sort: CometSortExec => sort
-           }.size == 1)
-           val read = collect(adaptive) {
-             case read: AQEShuffleReadExec => read
-@@ -2421,7 +2456,8 @@ class AdaptiveQueryExecSuite
-     }
-   }
- 
--  test("SPARK-37357: Add small partition factor for rebalance partitions") {
-+  test("SPARK-37357: Add small partition factor for rebalance partitions",
-+      IgnoreComet("Comet shuffle changes shuffle metrics")) {
-     withTempView("v") {
-       withSQLConf(
-         SQLConf.ADAPTIVE_OPTIMIZE_SKEWS_IN_REBALANCE_PARTITIONS_ENABLED.key -> "true",
-@@ -2533,7 +2569,7 @@ class AdaptiveQueryExecSuite
-           runAdaptiveAndVerifyResult("SELECT key1 FROM skewData1 JOIN skewData2 ON key1 = key2 " +
-             "JOIN skewData3 ON value2 = value3")
-         val shuffles1 = collect(adaptive1) {
--          case s: ShuffleExchangeExec => s
-+          case s: ShuffleExchangeLike => s
-         }
-         assert(shuffles1.size == 4)
-         val smj1 = findTopLevelSortMergeJoin(adaptive1)
-@@ -2544,7 +2580,7 @@ class AdaptiveQueryExecSuite
-           runAdaptiveAndVerifyResult("SELECT key1 FROM skewData1 JOIN skewData2 ON key1 = key2 " +
-             "JOIN skewData3 ON value1 = value3")
-         val shuffles2 = collect(adaptive2) {
--          case s: ShuffleExchangeExec => s
-+          case s: ShuffleExchangeLike => s
-         }
-         assert(shuffles2.size == 4)
-         val smj2 = findTopLevelSortMergeJoin(adaptive2)
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
-index bd9c79e5b96..ab7584e768e 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
-@@ -27,6 +27,7 @@ import org.apache.spark.sql.catalyst.SchemaPruningTest
- import org.apache.spark.sql.catalyst.expressions.Concat
- import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
- import org.apache.spark.sql.catalyst.plans.logical.Expand
-+import org.apache.spark.sql.comet.CometScanExec
- import org.apache.spark.sql.execution.FileSourceScanExec
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.functions._
-@@ -867,6 +868,7 @@ abstract class SchemaPruningSuite
-     val fileSourceScanSchemata =
-       collect(df.queryExecution.executedPlan) {
-         case scan: FileSourceScanExec => scan.requiredSchema
-+        case scan: CometScanExec => scan.requiredSchema
-       }
-     assert(fileSourceScanSchemata.size === expectedSchemaCatalogStrings.size,
-       s"Found ${fileSourceScanSchemata.size} file sources in dataframe, " +
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/V1WriteCommandSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/V1WriteCommandSuite.scala
-index ce43edb79c1..c414b19eda7 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/V1WriteCommandSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/V1WriteCommandSuite.scala
-@@ -17,7 +17,7 @@
- 
- package org.apache.spark.sql.execution.datasources
- 
--import org.apache.spark.sql.{QueryTest, Row}
-+import org.apache.spark.sql.{IgnoreComet, QueryTest, Row}
- import org.apache.spark.sql.catalyst.expressions.{Ascending, AttributeReference, NullsFirst, SortOrder}
- import org.apache.spark.sql.catalyst.plans.logical.{LogicalPlan, Sort}
- import org.apache.spark.sql.execution.{QueryExecution, SortExec}
-@@ -305,7 +305,8 @@ class V1WriteCommandSuite extends QueryTest with SharedSparkSession with V1Write
-     }
-   }
- 
--  test("v1 write with AQE changing SMJ to BHJ") {
-+  test("v1 write with AQE changing SMJ to BHJ",
-+      IgnoreComet("TODO: Comet SMJ to BHJ by AQE")) {
-     withPlannedWrite { enabled =>
-       withTable("t") {
-         sql(
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala
-index 1d2e467c94c..3ea82cd1a3f 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/binaryfile/BinaryFileFormatSuite.scala
-@@ -28,7 +28,7 @@ import org.apache.hadoop.fs.{FileStatus, FileSystem, GlobFilter, Path}
- import org.mockito.Mockito.{mock, when}
- 
- import org.apache.spark.SparkException
--import org.apache.spark.sql.{DataFrame, QueryTest, Row}
-+import org.apache.spark.sql.{DataFrame, IgnoreCometSuite, QueryTest, Row}
- import org.apache.spark.sql.catalyst.encoders.RowEncoder
- import org.apache.spark.sql.execution.datasources.PartitionedFile
- import org.apache.spark.sql.functions.col
-@@ -38,7 +38,9 @@ import org.apache.spark.sql.test.SharedSparkSession
- import org.apache.spark.sql.types._
- import org.apache.spark.util.Utils
- 
--class BinaryFileFormatSuite extends QueryTest with SharedSparkSession {
-+// For some reason this suite is flaky w/ or w/o Comet when running in Github workflow.
-+// Since it isn't related to Comet, we disable it for now.
-+class BinaryFileFormatSuite extends QueryTest with SharedSparkSession with IgnoreCometSuite {
-   import BinaryFileFormat._
- 
-   private var testDir: String = _
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetEncodingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetEncodingSuite.scala
-index 07e2849ce6f..3e73645b638 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetEncodingSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetEncodingSuite.scala
-@@ -28,7 +28,7 @@ import org.apache.parquet.hadoop.ParquetOutputFormat
- 
- import org.apache.spark.TestUtils
- import org.apache.spark.memory.MemoryMode
--import org.apache.spark.sql.Row
-+import org.apache.spark.sql.{IgnoreComet, Row}
- import org.apache.spark.sql.catalyst.util.DateTimeUtils
- import org.apache.spark.sql.internal.SQLConf
- import org.apache.spark.sql.test.SharedSparkSession
-@@ -201,7 +201,8 @@ class ParquetEncodingSuite extends ParquetCompatibilityTest with SharedSparkSess
-     }
-   }
- 
--  test("parquet v2 pages - rle encoding for boolean value columns") {
-+  test("parquet v2 pages - rle encoding for boolean value columns",
-+      IgnoreComet("Comet doesn't support RLE encoding yet")) {
-     val extraOptions = Map[String, String](
-       ParquetOutputFormat.WRITER_VERSION -> ParquetProperties.WriterVersion.PARQUET_2_0.toString
-     )
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
-index 9adcb43c838..c6872c7b24b 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
-@@ -1025,7 +1025,11 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
-           // When a filter is pushed to Parquet, Parquet can apply it to every row.
-           // So, we can check the number of rows returned from the Parquet
-           // to make sure our filter pushdown work.
--          assert(stripSparkFilter(df).count == 1)
-+          // Similar to Spark's vectorized reader, Comet doesn't do row-level filtering but relies
-+          // on Spark to apply the data filters after columnar batches are returned
-+          if (!isCometEnabled) {
-+            assert(stripSparkFilter(df).count == 1)
-+          }
-         }
-       }
-     }
-@@ -1510,7 +1514,11 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
-           // than the total length but should not be a single record.
-           // Note that, if record level filtering is enabled, it should be a single record.
-           // If no filter is pushed down to Parquet, it should be the total length of data.
--          assert(actual > 1 && actual < data.length)
-+          // Only enable Comet test iff it's scan only, since with native execution
-+          // `stripSparkFilter` can't remove the native filter
-+          if (!isCometEnabled || isCometScanOnly) {
-+            assert(actual > 1 && actual < data.length)
-+          }
-         }
-       }
-     }
-@@ -1537,7 +1545,11 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
-         // than the total length but should not be a single record.
-         // Note that, if record level filtering is enabled, it should be a single record.
-         // If no filter is pushed down to Parquet, it should be the total length of data.
--        assert(actual > 1 && actual < data.length)
-+        // Only enable Comet test iff it's scan only, since with native execution
-+        // `stripSparkFilter` can't remove the native filter
-+        if (!isCometEnabled || isCometScanOnly) {
-+          assert(actual > 1 && actual < data.length)
-+        }
-       }
-     }
-   }
-@@ -1673,7 +1685,8 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
-     }
-   }
- 
--  test("SPARK-17091: Convert IN predicate to Parquet filter push-down") {
-+  test("SPARK-17091: Convert IN predicate to Parquet filter push-down",
-+      IgnoreComet("IN predicate is not yet supported in Comet, see issue #36")) {
-     val schema = StructType(Seq(
-       StructField("a", IntegerType, nullable = false)
-     ))
-@@ -1914,7 +1927,8 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
-     }
-   }
- 
--  test("Support Parquet column index") {
-+  test("Support Parquet column index",
-+      IgnoreComet("Comet doesn't support Parquet column index yet")) {
-     // block 1:
-     //                      null count  min                                       max
-     // page-0                         0  0                                         99
-@@ -2206,7 +2220,11 @@ class ParquetV1FilterSuite extends ParquetFilterSuite {
-           assert(pushedParquetFilters.exists(_.getClass === filterClass),
-             s"${pushedParquetFilters.map(_.getClass).toList} did not contain ${filterClass}.")
- 
--          checker(stripSparkFilter(query), expected)
-+          // Similar to Spark's vectorized reader, Comet doesn't do row-level filtering but relies
-+          // on Spark to apply the data filters after columnar batches are returned
-+          if (!isCometEnabled) {
-+            checker(stripSparkFilter(query), expected)
-+          }
-         } else {
-           assert(selectedFilters.isEmpty, "There is filter pushed down")
-         }
-@@ -2266,7 +2284,11 @@ class ParquetV2FilterSuite extends ParquetFilterSuite {
-           assert(pushedParquetFilters.exists(_.getClass === filterClass),
-             s"${pushedParquetFilters.map(_.getClass).toList} did not contain ${filterClass}.")
- 
--          checker(stripSparkFilter(query), expected)
-+          // Similar to Spark's vectorized reader, Comet doesn't do row-level filtering but relies
-+          // on Spark to apply the data filters after columnar batches are returned
-+          if (!isCometEnabled) {
-+            checker(stripSparkFilter(query), expected)
-+          }
- 
-         case _ =>
-           throw new AnalysisException("Can not match ParquetTable in the query.")
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
-index 8670d95c65e..b624c3811dd 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetIOSuite.scala
-@@ -1335,7 +1335,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
-     }
-   }
- 
--  test("SPARK-40128 read DELTA_LENGTH_BYTE_ARRAY encoded strings") {
-+  test("SPARK-40128 read DELTA_LENGTH_BYTE_ARRAY encoded strings",
-+      IgnoreComet("Comet doesn't support DELTA encoding yet")) {
-     withAllParquetReaders {
-       checkAnswer(
-         // "fruit" column in this file is encoded using DELTA_LENGTH_BYTE_ARRAY.
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
-index 2e7b26126d2..f7368eb026e 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetQuerySuite.scala
-@@ -1029,7 +1029,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
-         checkAnswer(readParquet(schema, path), df)
-       }
- 
--      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "false") {
-+      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "false",
-+          "spark.comet.enabled" -> "false") {
-         val schema1 = "a DECIMAL(3, 2), b DECIMAL(18, 3), c DECIMAL(37, 3)"
-         checkAnswer(readParquet(schema1, path), df)
-         val schema2 = "a DECIMAL(3, 0), b DECIMAL(18, 1), c DECIMAL(37, 1)"
-@@ -1051,7 +1052,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
-       val df = sql(s"SELECT 1 a, 123456 b, ${Int.MaxValue.toLong * 10} c, CAST('1.2' AS BINARY) d")
-       df.write.parquet(path.toString)
- 
--      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "false") {
-+      withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "false",
-+          "spark.comet.enabled" -> "false") {
-         checkAnswer(readParquet("a DECIMAL(3, 2)", path), sql("SELECT 1.00"))
-         checkAnswer(readParquet("b DECIMAL(3, 2)", path), Row(null))
-         checkAnswer(readParquet("b DECIMAL(11, 1)", path), sql("SELECT 123456.0"))
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala
-index 240bb4e6dcb..8287ffa03ca 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRebaseDatetimeSuite.scala
-@@ -21,7 +21,7 @@ import java.nio.file.{Files, Paths, StandardCopyOption}
- import java.sql.{Date, Timestamp}
- 
- import org.apache.spark.{SPARK_VERSION_SHORT, SparkConf, SparkException, SparkUpgradeException}
--import org.apache.spark.sql.{QueryTest, Row, SPARK_LEGACY_DATETIME_METADATA_KEY, SPARK_LEGACY_INT96_METADATA_KEY, SPARK_TIMEZONE_METADATA_KEY}
-+import org.apache.spark.sql.{IgnoreCometSuite, QueryTest, Row, SPARK_LEGACY_DATETIME_METADATA_KEY, SPARK_LEGACY_INT96_METADATA_KEY, SPARK_TIMEZONE_METADATA_KEY}
- import org.apache.spark.sql.catalyst.util.DateTimeTestUtils
- import org.apache.spark.sql.internal.SQLConf
- import org.apache.spark.sql.internal.SQLConf.{LegacyBehaviorPolicy, ParquetOutputTimestampType}
-@@ -30,9 +30,11 @@ import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType.{INT96,
- import org.apache.spark.sql.test.SharedSparkSession
- import org.apache.spark.tags.SlowSQLTest
- 
-+// Comet is disabled for this suite because it doesn't support datetime rebase mode
- abstract class ParquetRebaseDatetimeSuite
-   extends QueryTest
-   with ParquetTest
-+  with IgnoreCometSuite
-   with SharedSparkSession {
- 
-   import testImplicits._
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala
-index 351c6d698fc..36492fe936d 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetRowIndexSuite.scala
-@@ -26,6 +26,7 @@ import org.apache.parquet.hadoop.{ParquetFileReader, ParquetOutputFormat}
- import org.apache.parquet.hadoop.ParquetWriter.DEFAULT_BLOCK_SIZE
- 
- import org.apache.spark.sql.QueryTest
-+import org.apache.spark.sql.comet.{CometBatchScanExec, CometScanExec}
- import org.apache.spark.sql.execution.FileSourceScanExec
- import org.apache.spark.sql.execution.datasources.FileFormat
- import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
-@@ -230,6 +231,12 @@ class ParquetRowIndexSuite extends QueryTest with SharedSparkSession {
-             case f: FileSourceScanExec =>
-               numPartitions += f.inputRDD.partitions.length
-               numOutputRows += f.metrics("numOutputRows").value
-+            case b: CometScanExec =>
-+              numPartitions += b.inputRDD.partitions.length
-+              numOutputRows += b.metrics("numOutputRows").value
-+            case b: CometBatchScanExec =>
-+              numPartitions += b.inputRDD.partitions.length
-+              numOutputRows += b.metrics("numOutputRows").value
-             case _ =>
-           }
-           assert(numPartitions > 0)
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruningSuite.scala
-index 5c0b7def039..151184bc98c 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruningSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruningSuite.scala
-@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.datasources.parquet
- import org.apache.spark.SparkConf
- import org.apache.spark.sql.DataFrame
- import org.apache.spark.sql.catalyst.parser.CatalystSqlParser
-+import org.apache.spark.sql.comet.CometBatchScanExec
- import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
- import org.apache.spark.sql.execution.datasources.SchemaPruningSuite
- import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
-@@ -56,6 +57,7 @@ class ParquetV2SchemaPruningSuite extends ParquetSchemaPruningSuite {
-     val fileSourceScanSchemata =
-       collect(df.queryExecution.executedPlan) {
-         case scan: BatchScanExec => scan.scan.asInstanceOf[ParquetScan].readDataSchema
-+        case scan: CometBatchScanExec => scan.scan.asInstanceOf[ParquetScan].readDataSchema
-       }
-     assert(fileSourceScanSchemata.size === expectedSchemaCatalogStrings.size,
-       s"Found ${fileSourceScanSchemata.size} file sources in dataframe, " +
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
-index bf5c51b89bb..ca22370ca3b 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaSuite.scala
-@@ -27,6 +27,7 @@ import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
- import org.apache.parquet.schema.Type._
- 
- import org.apache.spark.SparkException
-+import org.apache.spark.sql.IgnoreComet
- import org.apache.spark.sql.catalyst.ScalaReflection
- import org.apache.spark.sql.execution.datasources.SchemaColumnConvertNotSupportedException
- import org.apache.spark.sql.functions.desc
-@@ -1016,7 +1017,8 @@ class ParquetSchemaSuite extends ParquetSchemaTest {
-     e
-   }
- 
--  test("schema mismatch failure error message for parquet reader") {
-+  test("schema mismatch failure error message for parquet reader",
-+      IgnoreComet("Comet doesn't work with vectorizedReaderEnabled = false")) {
-     withTempPath { dir =>
-       val e = testSchemaMismatch(dir.getCanonicalPath, vectorizedReaderEnabled = false)
-       val expectedMessage = "Encountered error while reading file"
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/debug/DebuggingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/debug/DebuggingSuite.scala
-index 3a0bd35cb70..b28f06a757f 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/debug/DebuggingSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/debug/DebuggingSuite.scala
-@@ -20,6 +20,7 @@ package org.apache.spark.sql.execution.debug
- import java.io.ByteArrayOutputStream
- 
- import org.apache.spark.rdd.RDD
-+import org.apache.spark.sql.IgnoreComet
- import org.apache.spark.sql.catalyst.InternalRow
- import org.apache.spark.sql.catalyst.expressions.Attribute
- import org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext
-@@ -124,7 +125,8 @@ class DebuggingSuite extends DebuggingSuiteBase with DisableAdaptiveExecutionSui
-          | id LongType: {}""".stripMargin))
-   }
- 
--  test("SPARK-28537: DebugExec cannot debug columnar related queries") {
-+  test("SPARK-28537: DebugExec cannot debug columnar related queries",
-+      IgnoreComet("Comet does not use FileScan")) {
-     withTempPath { workDir =>
-       val workDirPath = workDir.getAbsolutePath
-       val input = spark.range(5).toDF("id")
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
-index 26e61c6b58d..cb09d7e116a 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/metric/SQLMetricsSuite.scala
-@@ -45,8 +45,10 @@ import org.apache.spark.sql.util.QueryExecutionListener
- import org.apache.spark.util.{AccumulatorContext, JsonProtocol}
- 
- // Disable AQE because metric info is different with AQE on/off
-+// This test suite runs tests against the metrics of physical operators.
-+// Disabling it for Comet because the metrics are different with Comet enabled.
- class SQLMetricsSuite extends SharedSparkSession with SQLMetricsTestUtils
--  with DisableAdaptiveExecutionSuite {
-+  with DisableAdaptiveExecutionSuite with IgnoreCometSuite {
-   import testImplicits._
- 
-   /**
-@@ -737,7 +739,8 @@ class SQLMetricsSuite extends SharedSparkSession with SQLMetricsTestUtils
-     }
-   }
- 
--  test("SPARK-26327: FileSourceScanExec metrics") {
-+  test("SPARK-26327: FileSourceScanExec metrics",
-+      IgnoreComet("Spark uses row-based Parquet reader while Comet is vectorized")) {
-     withTable("testDataForScan") {
-       spark.range(10).selectExpr("id", "id % 3 as p")
-         .write.partitionBy("p").saveAsTable("testDataForScan")
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFsSuite.scala
-index 0ab8691801d..d9125f658ad 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFsSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFsSuite.scala
-@@ -18,6 +18,7 @@
- package org.apache.spark.sql.execution.python
- 
- import org.apache.spark.sql.catalyst.plans.logical.{ArrowEvalPython, BatchEvalPython, Limit, LocalLimit}
-+import org.apache.spark.sql.comet._
- import org.apache.spark.sql.execution.{FileSourceScanExec, SparkPlan, SparkPlanTest}
- import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
- import org.apache.spark.sql.execution.datasources.v2.parquet.ParquetScan
-@@ -108,6 +109,7 @@ class ExtractPythonUDFsSuite extends SparkPlanTest with SharedSparkSession {
- 
-           val scanNodes = query.queryExecution.executedPlan.collect {
-             case scan: FileSourceScanExec => scan
-+            case scan: CometScanExec => scan
-           }
-           assert(scanNodes.length == 1)
-           assert(scanNodes.head.output.map(_.name) == Seq("a"))
-@@ -120,11 +122,16 @@ class ExtractPythonUDFsSuite extends SparkPlanTest with SharedSparkSession {
- 
-           val scanNodes = query.queryExecution.executedPlan.collect {
-             case scan: FileSourceScanExec => scan
-+            case scan: CometScanExec => scan
-           }
-           assert(scanNodes.length == 1)
-           // $"a" is not null and $"a" > 1
--          assert(scanNodes.head.dataFilters.length == 2)
--          assert(scanNodes.head.dataFilters.flatMap(_.references.map(_.name)).distinct == Seq("a"))
-+          val dataFilters = scanNodes.head match {
-+            case scan: FileSourceScanExec => scan.dataFilters
-+            case scan: CometScanExec => scan.dataFilters
-+          }
-+          assert(dataFilters.length == 2)
-+          assert(dataFilters.flatMap(_.references.map(_.name)).distinct == Seq("a"))
-         }
-       }
-     }
-@@ -145,6 +152,7 @@ class ExtractPythonUDFsSuite extends SparkPlanTest with SharedSparkSession {
- 
-           val scanNodes = query.queryExecution.executedPlan.collect {
-             case scan: BatchScanExec => scan
-+            case scan: CometBatchScanExec => scan
-           }
-           assert(scanNodes.length == 1)
-           assert(scanNodes.head.output.map(_.name) == Seq("a"))
-@@ -157,6 +165,7 @@ class ExtractPythonUDFsSuite extends SparkPlanTest with SharedSparkSession {
- 
-           val scanNodes = query.queryExecution.executedPlan.collect {
-             case scan: BatchScanExec => scan
-+            case scan: CometBatchScanExec => scan
-           }
-           assert(scanNodes.length == 1)
-           // $"a" is not null and $"a" > 1
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala
-index d083cac48ff..3c11bcde807 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala
-@@ -37,8 +37,10 @@ import org.apache.spark.sql.streaming.{StreamingQuery, StreamingQueryException,
- import org.apache.spark.sql.streaming.util.StreamManualClock
- import org.apache.spark.util.Utils
- 
-+// For some reason this suite is flaky w/ or w/o Comet when running in Github workflow.
-+// Since it isn't related to Comet, we disable it for now.
- class AsyncProgressTrackingMicroBatchExecutionSuite
--  extends StreamTest with BeforeAndAfter with Matchers {
-+  extends StreamTest with BeforeAndAfter with Matchers with IgnoreCometSuite {
- 
-   import testImplicits._
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
-index 266bb343526..a426d8396be 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
-@@ -24,10 +24,11 @@ import org.apache.spark.sql.catalyst.catalog.BucketSpec
- import org.apache.spark.sql.catalyst.expressions
- import org.apache.spark.sql.catalyst.expressions._
- import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
--import org.apache.spark.sql.execution.{FileSourceScanExec, SortExec, SparkPlan}
-+import org.apache.spark.sql.comet._
-+import org.apache.spark.sql.execution.{ColumnarToRowExec, FileSourceScanExec, SortExec, SparkPlan}
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, AdaptiveSparkPlanHelper, DisableAdaptiveExecution}
- import org.apache.spark.sql.execution.datasources.BucketingUtils
--import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-+import org.apache.spark.sql.execution.exchange.{ShuffleExchangeExec, ShuffleExchangeLike}
- import org.apache.spark.sql.execution.joins.SortMergeJoinExec
- import org.apache.spark.sql.functions._
- import org.apache.spark.sql.internal.SQLConf
-@@ -101,12 +102,20 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
-     }
-   }
- 
--  private def getFileScan(plan: SparkPlan): FileSourceScanExec = {
--    val fileScan = collect(plan) { case f: FileSourceScanExec => f }
-+  private def getFileScan(plan: SparkPlan): SparkPlan = {
-+    val fileScan = collect(plan) {
-+      case f: FileSourceScanExec => f
-+      case f: CometScanExec => f
-+    }
-     assert(fileScan.nonEmpty, plan)
-     fileScan.head
-   }
- 
-+  private def getBucketScan(plan: SparkPlan): Boolean = getFileScan(plan) match {
-+    case fs: FileSourceScanExec => fs.bucketedScan
-+    case bs: CometScanExec => bs.bucketedScan
-+  }
-+
-   // To verify if the bucket pruning works, this function checks two conditions:
-   //   1) Check if the pruned buckets (before filtering) are empty.
-   //   2) Verify the final result is the same as the expected one
-@@ -155,7 +164,8 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
-           val planWithoutBucketedScan = bucketedDataFrame.filter(filterCondition)
-             .queryExecution.executedPlan
-           val fileScan = getFileScan(planWithoutBucketedScan)
--          assert(!fileScan.bucketedScan, s"except no bucketed scan but found\n$fileScan")
-+          val bucketedScan = getBucketScan(planWithoutBucketedScan)
-+          assert(!bucketedScan, s"except no bucketed scan but found\n$fileScan")
- 
-           val bucketColumnType = bucketedDataFrame.schema.apply(bucketColumnIndex).dataType
-           val rowsWithInvalidBuckets = fileScan.execute().filter(row => {
-@@ -451,28 +461,44 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
-         val joinOperator = if (joined.sqlContext.conf.adaptiveExecutionEnabled) {
-           val executedPlan =
-             joined.queryExecution.executedPlan.asInstanceOf[AdaptiveSparkPlanExec].executedPlan
--          assert(executedPlan.isInstanceOf[SortMergeJoinExec])
--          executedPlan.asInstanceOf[SortMergeJoinExec]
-+          executedPlan match {
-+            case s: SortMergeJoinExec => s
-+            case b: CometSortMergeJoinExec =>
-+              b.originalPlan match {
-+                case s: SortMergeJoinExec => s
-+                case o => fail(s"expected SortMergeJoinExec, but found\n$o")
-+              }
-+            case o => fail(s"expected SortMergeJoinExec, but found\n$o")
-+          }
-         } else {
-           val executedPlan = joined.queryExecution.executedPlan
--          assert(executedPlan.isInstanceOf[SortMergeJoinExec])
--          executedPlan.asInstanceOf[SortMergeJoinExec]
-+          executedPlan match {
-+            case s: SortMergeJoinExec => s
-+            case ColumnarToRowExec(child) =>
-+              child.asInstanceOf[CometSortMergeJoinExec].originalPlan match {
-+                case s: SortMergeJoinExec => s
-+                case o => fail(s"expected SortMergeJoinExec, but found\n$o")
-+              }
-+            case o => fail(s"expected SortMergeJoinExec, but found\n$o")
-+          }
-         }
- 
-         // check existence of shuffle
-         assert(
--          joinOperator.left.exists(_.isInstanceOf[ShuffleExchangeExec]) == shuffleLeft,
-+          joinOperator.left.exists(op => op.isInstanceOf[ShuffleExchangeLike]) == shuffleLeft,
-           s"expected shuffle in plan to be $shuffleLeft but found\n${joinOperator.left}")
-         assert(
--          joinOperator.right.exists(_.isInstanceOf[ShuffleExchangeExec]) == shuffleRight,
-+          joinOperator.right.exists(op => op.isInstanceOf[ShuffleExchangeLike]) == shuffleRight,
-           s"expected shuffle in plan to be $shuffleRight but found\n${joinOperator.right}")
- 
-         // check existence of sort
-         assert(
--          joinOperator.left.exists(_.isInstanceOf[SortExec]) == sortLeft,
-+          joinOperator.left.exists(op => op.isInstanceOf[SortExec] || op.isInstanceOf[CometExec] &&
-+            op.asInstanceOf[CometExec].originalPlan.isInstanceOf[SortExec]) == sortLeft,
-           s"expected sort in the left child to be $sortLeft but found\n${joinOperator.left}")
-         assert(
--          joinOperator.right.exists(_.isInstanceOf[SortExec]) == sortRight,
-+          joinOperator.right.exists(op => op.isInstanceOf[SortExec] || op.isInstanceOf[CometExec] &&
-+            op.asInstanceOf[CometExec].originalPlan.isInstanceOf[SortExec]) == sortRight,
-           s"expected sort in the right child to be $sortRight but found\n${joinOperator.right}")
- 
-         // check the output partitioning
-@@ -835,11 +861,11 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
-       df1.write.format("parquet").bucketBy(8, "i").saveAsTable("bucketed_table")
- 
-       val scanDF = spark.table("bucketed_table").select("j")
--      assert(!getFileScan(scanDF.queryExecution.executedPlan).bucketedScan)
-+      assert(!getBucketScan(scanDF.queryExecution.executedPlan))
-       checkAnswer(scanDF, df1.select("j"))
- 
-       val aggDF = spark.table("bucketed_table").groupBy("j").agg(max("k"))
--      assert(!getFileScan(aggDF.queryExecution.executedPlan).bucketedScan)
-+      assert(!getBucketScan(aggDF.queryExecution.executedPlan))
-       checkAnswer(aggDF, df1.groupBy("j").agg(max("k")))
-     }
-   }
-@@ -1026,15 +1052,23 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
-             expectedNumShuffles: Int,
-             expectedCoalescedNumBuckets: Option[Int]): Unit = {
-           val plan = sql(query).queryExecution.executedPlan
--          val shuffles = plan.collect { case s: ShuffleExchangeExec => s }
-+          val shuffles = plan.collect {
-+            case s: ShuffleExchangeLike => s
-+          }
-           assert(shuffles.length == expectedNumShuffles)
- 
-           val scans = plan.collect {
-             case f: FileSourceScanExec if f.optionalNumCoalescedBuckets.isDefined => f
-+            case b: CometScanExec if b.optionalNumCoalescedBuckets.isDefined => b
-           }
-           if (expectedCoalescedNumBuckets.isDefined) {
-             assert(scans.length == 1)
--            assert(scans.head.optionalNumCoalescedBuckets == expectedCoalescedNumBuckets)
-+            scans.head match {
-+              case f: FileSourceScanExec =>
-+                assert(f.optionalNumCoalescedBuckets == expectedCoalescedNumBuckets)
-+              case b: CometScanExec =>
-+                assert(b.optionalNumCoalescedBuckets == expectedCoalescedNumBuckets)
-+            }
-           } else {
-             assert(scans.isEmpty)
-           }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/CreateTableAsSelectSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/CreateTableAsSelectSuite.scala
-index b5f6d2f9f68..277784a92af 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/sources/CreateTableAsSelectSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/CreateTableAsSelectSuite.scala
-@@ -20,7 +20,7 @@ package org.apache.spark.sql.sources
- import java.io.File
- 
- import org.apache.spark.SparkException
--import org.apache.spark.sql.AnalysisException
-+import org.apache.spark.sql.{AnalysisException, IgnoreCometSuite}
- import org.apache.spark.sql.catalyst.TableIdentifier
- import org.apache.spark.sql.catalyst.catalog.{BucketSpec, CatalogTableType}
- import org.apache.spark.sql.catalyst.parser.ParseException
-@@ -28,7 +28,10 @@ import org.apache.spark.sql.internal.SQLConf.BUCKETING_MAX_BUCKETS
- import org.apache.spark.sql.test.SharedSparkSession
- import org.apache.spark.util.Utils
- 
--class CreateTableAsSelectSuite extends DataSourceTest with SharedSparkSession {
-+// For some reason this suite is flaky w/ or w/o Comet when running in Github workflow.
-+// Since it isn't related to Comet, we disable it for now.
-+class CreateTableAsSelectSuite extends DataSourceTest with SharedSparkSession
-+    with IgnoreCometSuite {
-   import testImplicits._
- 
-   protected override lazy val sql = spark.sql _
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala
-index 1f55742cd67..42377f7cf26 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/sources/DisableUnnecessaryBucketedScanSuite.scala
-@@ -20,6 +20,7 @@ package org.apache.spark.sql.sources
- import org.apache.spark.sql.QueryTest
- import org.apache.spark.sql.catalyst.expressions.AttributeReference
- import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
-+import org.apache.spark.sql.comet.CometScanExec
- import org.apache.spark.sql.execution.FileSourceScanExec
- import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
- import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-@@ -71,7 +72,10 @@ abstract class DisableUnnecessaryBucketedScanSuite
- 
-     def checkNumBucketedScan(query: String, expectedNumBucketedScan: Int): Unit = {
-       val plan = sql(query).queryExecution.executedPlan
--      val bucketedScan = collect(plan) { case s: FileSourceScanExec if s.bucketedScan => s }
-+      val bucketedScan = collect(plan) {
-+        case s: FileSourceScanExec if s.bucketedScan => s
-+        case s: CometScanExec if s.bucketedScan => s
-+      }
-       assert(bucketedScan.length == expectedNumBucketedScan)
-     }
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
-index 75f440caefc..36b1146bc3a 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
-@@ -34,6 +34,7 @@ import org.apache.spark.paths.SparkPath
- import org.apache.spark.scheduler.{SparkListener, SparkListenerTaskEnd}
- import org.apache.spark.sql.{AnalysisException, DataFrame}
- import org.apache.spark.sql.catalyst.util.stringToFile
-+import org.apache.spark.sql.comet.CometBatchScanExec
- import org.apache.spark.sql.execution.DataSourceScanExec
- import org.apache.spark.sql.execution.datasources._
- import org.apache.spark.sql.execution.datasources.v2.{BatchScanExec, DataSourceV2Relation, FileScan, FileTable}
-@@ -748,6 +749,8 @@ class FileStreamSinkV2Suite extends FileStreamSinkSuite {
-       val fileScan = df.queryExecution.executedPlan.collect {
-         case batch: BatchScanExec if batch.scan.isInstanceOf[FileScan] =>
-           batch.scan.asInstanceOf[FileScan]
-+        case batch: CometBatchScanExec if batch.scan.isInstanceOf[FileScan] =>
-+          batch.scan.asInstanceOf[FileScan]
-       }.headOption.getOrElse {
-         fail(s"No FileScan in query\n${df.queryExecution}")
-       }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateDistributionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateDistributionSuite.scala
-index b597a244710..b2e8be41065 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateDistributionSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateDistributionSuite.scala
-@@ -21,6 +21,7 @@ import java.io.File
- 
- import org.apache.commons.io.FileUtils
- 
-+import org.apache.spark.sql.IgnoreComet
- import org.apache.spark.sql.catalyst.streaming.InternalOutputModes.Update
- import org.apache.spark.sql.execution.streaming.{FlatMapGroupsWithStateExec, MemoryStream}
- import org.apache.spark.sql.internal.SQLConf
-@@ -91,7 +92,7 @@ class FlatMapGroupsWithStateDistributionSuite extends StreamTest
-   }
- 
-   test("SPARK-38204: flatMapGroupsWithState should require StatefulOpClusteredDistribution " +
--    "from children - without initial state") {
-+    "from children - without initial state", IgnoreComet("TODO: fix Comet for this test")) {
-     // function will return -1 on timeout and returns count of the state otherwise
-     val stateFunc =
-       (key: (String, String), values: Iterator[(String, String, Long)],
-@@ -243,7 +244,8 @@ class FlatMapGroupsWithStateDistributionSuite extends StreamTest
-   }
- 
-   test("SPARK-38204: flatMapGroupsWithState should require ClusteredDistribution " +
--    "from children if the query starts from checkpoint in 3.2.x - without initial state") {
-+    "from children if the query starts from checkpoint in 3.2.x - without initial state",
-+    IgnoreComet("TODO: fix Comet for this test")) {
-     // function will return -1 on timeout and returns count of the state otherwise
-     val stateFunc =
-       (key: (String, String), values: Iterator[(String, String, Long)],
-@@ -335,7 +337,8 @@ class FlatMapGroupsWithStateDistributionSuite extends StreamTest
-   }
- 
-   test("SPARK-38204: flatMapGroupsWithState should require ClusteredDistribution " +
--    "from children if the query starts from checkpoint in prior to 3.2") {
-+    "from children if the query starts from checkpoint in prior to 3.2",
-+    IgnoreComet("TODO: fix Comet for this test")) {
-     // function will return -1 on timeout and returns count of the state otherwise
-     val stateFunc =
-       (key: (String, String), values: Iterator[(String, String, Long)],
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
-index 6aa7d0945c7..38523536154 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateSuite.scala
-@@ -25,7 +25,7 @@ import org.scalatest.exceptions.TestFailedException
- 
- import org.apache.spark.SparkException
- import org.apache.spark.api.java.function.FlatMapGroupsWithStateFunction
--import org.apache.spark.sql.{DataFrame, Encoder}
-+import org.apache.spark.sql.{DataFrame, Encoder, IgnoreCometSuite}
- import org.apache.spark.sql.catalyst.InternalRow
- import org.apache.spark.sql.catalyst.expressions.{GenericInternalRow, UnsafeProjection, UnsafeRow}
- import org.apache.spark.sql.catalyst.plans.logical.FlatMapGroupsWithState
-@@ -46,8 +46,9 @@ case class RunningCount(count: Long)
- 
- case class Result(key: Long, count: Int)
- 
-+// TODO: fix Comet to enable this suite
- @SlowSQLTest
--class FlatMapGroupsWithStateSuite extends StateStoreMetricsTest {
-+class FlatMapGroupsWithStateSuite extends StateStoreMetricsTest with IgnoreCometSuite {
- 
-   import testImplicits._
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateWithInitialStateSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateWithInitialStateSuite.scala
-index 2a2a83d35e1..e3b7b290b3e 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateWithInitialStateSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FlatMapGroupsWithStateWithInitialStateSuite.scala
-@@ -18,7 +18,7 @@
- package org.apache.spark.sql.streaming
- 
- import org.apache.spark.SparkException
--import org.apache.spark.sql.{AnalysisException, Dataset, KeyValueGroupedDataset}
-+import org.apache.spark.sql.{AnalysisException, Dataset, IgnoreComet, KeyValueGroupedDataset}
- import org.apache.spark.sql.catalyst.streaming.InternalOutputModes.Update
- import org.apache.spark.sql.execution.streaming.MemoryStream
- import org.apache.spark.sql.execution.streaming.state.FlatMapGroupsWithStateExecHelper
-@@ -253,7 +253,8 @@ class FlatMapGroupsWithStateWithInitialStateSuite extends StateStoreMetricsTest
-     assert(e.message.contains(expectedError))
-   }
- 
--  test("flatMapGroupsWithState - initial state - initial state has flatMapGroupsWithState") {
-+  test("flatMapGroupsWithState - initial state - initial state has flatMapGroupsWithState",
-+    IgnoreComet("TODO: fix Comet for this test")) {
-     val initialStateDS = Seq(("keyInStateAndData", new RunningCount(1))).toDS()
-     val initialState: KeyValueGroupedDataset[String, RunningCount] =
-       initialStateDS.groupByKey(_._1).mapValues(_._2)
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
-index ef5b8a769fe..84fe1bfabc9 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
-@@ -37,6 +37,7 @@ import org.apache.spark.sql._
- import org.apache.spark.sql.catalyst.plans.logical.{Range, RepartitionByExpression}
- import org.apache.spark.sql.catalyst.streaming.{InternalOutputModes, StreamingRelationV2}
- import org.apache.spark.sql.catalyst.util.DateTimeUtils
-+import org.apache.spark.sql.comet.CometLocalLimitExec
- import org.apache.spark.sql.execution.{LocalLimitExec, SimpleMode, SparkPlan}
- import org.apache.spark.sql.execution.command.ExplainCommand
- import org.apache.spark.sql.execution.streaming._
-@@ -1103,11 +1104,12 @@ class StreamSuite extends StreamTest {
-       val localLimits = execPlan.collect {
-         case l: LocalLimitExec => l
-         case l: StreamingLocalLimitExec => l
-+        case l: CometLocalLimitExec => l
-       }
- 
-       require(
-         localLimits.size == 1,
--        s"Cant verify local limit optimization with this plan:\n$execPlan")
-+        s"Cant verify local limit optimization ${localLimits.size} with this plan:\n$execPlan")
- 
-       if (expectStreamingLimit) {
-         assert(
-@@ -1115,7 +1117,8 @@ class StreamSuite extends StreamTest {
-           s"Local limit was not StreamingLocalLimitExec:\n$execPlan")
-       } else {
-         assert(
--          localLimits.head.isInstanceOf[LocalLimitExec],
-+          localLimits.head.isInstanceOf[LocalLimitExec] ||
-+            localLimits.head.isInstanceOf[CometLocalLimitExec],
-           s"Local limit was not LocalLimitExec:\n$execPlan")
-       }
-     }
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala
-index b4c4ec7acbf..20579284856 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala
-@@ -23,6 +23,7 @@ import org.apache.commons.io.FileUtils
- import org.scalatest.Assertions
- 
- import org.apache.spark.sql.catalyst.plans.physical.UnspecifiedDistribution
-+import org.apache.spark.sql.comet.CometHashAggregateExec
- import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
- import org.apache.spark.sql.execution.streaming.{MemoryStream, StateStoreRestoreExec, StateStoreSaveExec}
- import org.apache.spark.sql.functions.count
-@@ -67,6 +68,7 @@ class StreamingAggregationDistributionSuite extends StreamTest
-         // verify aggregations in between, except partial aggregation
-         val allAggregateExecs = query.lastExecution.executedPlan.collect {
-           case a: BaseAggregateExec => a
-+          case c: CometHashAggregateExec => c.originalPlan
-         }
- 
-         val aggregateExecsWithoutPartialAgg = allAggregateExecs.filter {
-@@ -201,6 +203,7 @@ class StreamingAggregationDistributionSuite extends StreamTest
-         // verify aggregations in between, except partial aggregation
-         val allAggregateExecs = executedPlan.collect {
-           case a: BaseAggregateExec => a
-+          case c: CometHashAggregateExec => c.originalPlan
-         }
- 
-         val aggregateExecsWithoutPartialAgg = allAggregateExecs.filter {
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
-index 4d92e270539..33f1c2eb75e 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
-@@ -31,7 +31,7 @@ import org.apache.spark.scheduler.ExecutorCacheTaskLocation
- import org.apache.spark.sql.{DataFrame, Row, SparkSession}
- import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression}
- import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
--import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
-+import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
- import org.apache.spark.sql.execution.streaming.{MemoryStream, StatefulOperatorStateInfo, StreamingSymmetricHashJoinExec, StreamingSymmetricHashJoinHelper}
- import org.apache.spark.sql.execution.streaming.state.{RocksDBStateStoreProvider, StateStore, StateStoreProviderId}
- import org.apache.spark.sql.functions._
-@@ -619,14 +619,28 @@ class StreamingInnerJoinSuite extends StreamingJoinSuite {
- 
-         val numPartitions = spark.sqlContext.conf.getConf(SQLConf.SHUFFLE_PARTITIONS)
- 
--        assert(query.lastExecution.executedPlan.collect {
--          case j @ StreamingSymmetricHashJoinExec(_, _, _, _, _, _, _, _, _,
--            ShuffleExchangeExec(opA: HashPartitioning, _, _),
--            ShuffleExchangeExec(opB: HashPartitioning, _, _))
--              if partitionExpressionsColumns(opA.expressions) === Seq("a", "b")
--                && partitionExpressionsColumns(opB.expressions) === Seq("a", "b")
--                && opA.numPartitions == numPartitions && opB.numPartitions == numPartitions => j
--        }.size == 1)
-+        val join = query.lastExecution.executedPlan.collect {
-+          case j: StreamingSymmetricHashJoinExec => j
-+        }.head
-+        val opA = join.left.collect {
-+          case s: ShuffleExchangeLike
-+            if s.outputPartitioning.isInstanceOf[HashPartitioning] &&
-+              partitionExpressionsColumns(
-+                s.outputPartitioning
-+                  .asInstanceOf[HashPartitioning].expressions) === Seq("a", "b") =>
-+            s.outputPartitioning
-+              .asInstanceOf[HashPartitioning]
-+        }.head
-+        val opB = join.right.collect {
-+          case s: ShuffleExchangeLike
-+            if s.outputPartitioning.isInstanceOf[HashPartitioning] &&
-+              partitionExpressionsColumns(
-+                s.outputPartitioning
-+                  .asInstanceOf[HashPartitioning].expressions) === Seq("a", "b") =>
-+            s.outputPartitioning
-+              .asInstanceOf[HashPartitioning]
-+        }.head
-+        assert(opA.numPartitions == numPartitions && opB.numPartitions == numPartitions)
-       })
-   }
- 
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/test/DataStreamTableAPISuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/test/DataStreamTableAPISuite.scala
-index abe606ad9c1..2d930b64cca 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/test/DataStreamTableAPISuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/test/DataStreamTableAPISuite.scala
-@@ -22,7 +22,7 @@ import java.util
- 
- import org.scalatest.BeforeAndAfter
- 
--import org.apache.spark.sql.{AnalysisException, Row, SaveMode}
-+import org.apache.spark.sql.{AnalysisException, IgnoreComet, Row, SaveMode}
- import org.apache.spark.sql.catalyst.TableIdentifier
- import org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException
- import org.apache.spark.sql.catalyst.catalog.{CatalogStorageFormat, CatalogTable, CatalogTableType}
-@@ -327,7 +327,8 @@ class DataStreamTableAPISuite extends StreamTest with BeforeAndAfter {
-     }
-   }
- 
--  test("explain with table on DSv1 data source") {
-+  test("explain with table on DSv1 data source",
-+      IgnoreComet("Comet explain output is different")) {
-     val tblSourceName = "tbl_src"
-     val tblTargetName = "tbl_target"
-     val tblSourceQualified = s"default.$tblSourceName"
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
-index dd55fcfe42c..293e9dc2986 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SQLTestUtils.scala
-@@ -41,6 +41,7 @@ import org.apache.spark.sql.catalyst.plans.PlanTest
- import org.apache.spark.sql.catalyst.plans.PlanTestBase
- import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
- import org.apache.spark.sql.catalyst.util._
-+import org.apache.spark.sql.comet._
- import org.apache.spark.sql.execution.FilterExec
- import org.apache.spark.sql.execution.adaptive.DisableAdaptiveExecution
- import org.apache.spark.sql.execution.datasources.DataSourceUtils
-@@ -126,7 +127,11 @@ private[sql] trait SQLTestUtils extends SparkFunSuite with SQLTestUtilsBase with
-         }
-       }
-     } else {
--      super.test(testName, testTags: _*)(testFun)
-+      if (isCometEnabled && testTags.exists(_.isInstanceOf[IgnoreComet])) {
-+        ignore(testName + " (disabled when Comet is on)", testTags: _*)(testFun)
-+      } else {
-+        super.test(testName, testTags: _*)(testFun)
-+      }
-     }
-   }
- 
-@@ -242,6 +247,32 @@ private[sql] trait SQLTestUtilsBase
-     protected override def _sqlContext: SQLContext = self.spark.sqlContext
-   }
- 
-+  /**
-+   * Whether Comet extension is enabled
-+   */
-+  protected def isCometEnabled: Boolean = {
-+    val v = System.getenv("ENABLE_COMET")
-+    v != null && v.toBoolean
-+  }
-+
-+  /**
-+   * Whether to enable ansi mode This is only effective when
-+   * [[isCometEnabled]] returns true.
-+   */
-+  protected def enableCometAnsiMode: Boolean = {
-+    val v = System.getenv("ENABLE_COMET_ANSI_MODE")
-+    v != null && v.toBoolean
-+  }
-+
-+  /**
-+   * Whether Spark should only apply Comet scan optimization. This is only effective when
-+   * [[isCometEnabled]] returns true.
-+   */
-+  protected def isCometScanOnly: Boolean = {
-+    val v = System.getenv("ENABLE_COMET_SCAN_ONLY")
-+    v != null && v.toBoolean
-+  }
-+
-   protected override def withSQLConf(pairs: (String, String)*)(f: => Unit): Unit = {
-     SparkSession.setActiveSession(spark)
-     super.withSQLConf(pairs: _*)(f)
-@@ -434,6 +465,8 @@ private[sql] trait SQLTestUtilsBase
-     val schema = df.schema
-     val withoutFilters = df.queryExecution.executedPlan.transform {
-       case FilterExec(_, child) => child
-+      case CometFilterExec(_, _, _, child, _) => child
-+      case CometProjectExec(_, _, _, _, CometFilterExec(_, _, _, child, _), _) => child
-     }
- 
-     spark.internalCreateDataFrame(withoutFilters.execute(), schema)
-diff --git a/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala b/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
-index ed2e309fa07..e071fc44960 100644
---- a/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/sql/test/SharedSparkSession.scala
-@@ -74,6 +74,28 @@ trait SharedSparkSessionBase
-       // this rule may potentially block testing of other optimization rules such as
-       // ConstantPropagation etc.
-       .set(SQLConf.OPTIMIZER_EXCLUDED_RULES.key, ConvertToLocalRelation.ruleName)
-+    // Enable Comet if `ENABLE_COMET` environment variable is set
-+    if (isCometEnabled) {
-+      conf
-+        .set("spark.sql.extensions", "org.apache.comet.CometSparkSessionExtensions")
-+        .set("spark.comet.enabled", "true")
-+
-+      if (!isCometScanOnly) {
-+        conf
-+          .set("spark.comet.exec.enabled", "true")
-+          .set("spark.comet.exec.all.enabled", "true")
-+          .set("spark.shuffle.manager",
-+            "org.apache.spark.sql.comet.execution.shuffle.CometShuffleManager")
-+          .set("spark.comet.exec.shuffle.enabled", "true")
-+          .set("spark.comet.memoryOverhead", "10g")
-+      }
-+
-+      if (enableCometAnsiMode) {
-+        conf
-+          .set("spark.sql.ansi.enabled", "true")
-+          .set("spark.comet.ansi.enabled", "true")
-+      }
-+    }
-     conf.set(
-       StaticSQLConf.WAREHOUSE_PATH,
-       conf.get(StaticSQLConf.WAREHOUSE_PATH) + "/" + getClass.getCanonicalName)
-diff --git a/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala b/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala
-index 1510e8957f9..7618419d8ff 100644
---- a/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala
-+++ b/sql/core/src/test/scala/org/apache/spark/status/api/v1/sql/SqlResourceWithActualMetricsSuite.scala
-@@ -43,7 +43,7 @@ class SqlResourceWithActualMetricsSuite
-   import testImplicits._
- 
-   // Exclude nodes which may not have the metrics
--  val excludedNodes = List("WholeStageCodegen", "Project", "SerializeFromObject")
-+  val excludedNodes = List("WholeStageCodegen", "Project", "SerializeFromObject", "RowToColumnar")
- 
-   implicit val formats = new DefaultFormats {
-     override def dateFormatter = new SimpleDateFormat("yyyy-MM-dd'T'HH:mm:ss")
-diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
-index 52abd248f3a..7a199931a08 100644
---- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
-+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
-@@ -19,6 +19,7 @@ package org.apache.spark.sql.hive
- 
- import org.apache.spark.sql._
- import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Expression}
-+import org.apache.spark.sql.comet._
- import org.apache.spark.sql.execution._
- import org.apache.spark.sql.execution.adaptive.{DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
- import org.apache.spark.sql.hive.execution.HiveTableScanExec
-@@ -35,6 +36,9 @@ abstract class DynamicPartitionPruningHiveScanSuiteBase
-       case s: FileSourceScanExec => s.partitionFilters.collect {
-         case d: DynamicPruningExpression => d.child
-       }
-+      case s: CometScanExec => s.partitionFilters.collect {
-+        case d: DynamicPruningExpression => d.child
-+      }
-       case h: HiveTableScanExec => h.partitionPruningPred.collect {
-         case d: DynamicPruningExpression => d.child
-       }
-diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/AggregationQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/AggregationQuerySuite.scala
-index 1966e1e64fd..cde97a0aafe 100644
---- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/AggregationQuerySuite.scala
-+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/AggregationQuerySuite.scala
-@@ -656,7 +656,8 @@ abstract class AggregationQuerySuite extends QueryTest with SQLTestUtils with Te
-         Row(3, 4, 4, 3, null) :: Nil)
-   }
- 
--  test("single distinct multiple columns set") {
-+  test("single distinct multiple columns set",
-+    IgnoreComet("TODO: fix Comet for this test")) {
-     checkAnswer(
-       spark.sql(
-         """
-diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
-index 07361cfdce9..25b0dc3ef7e 100644
---- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
-+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/test/TestHive.scala
-@@ -55,25 +55,53 @@ object TestHive
-     new SparkContext(
-       System.getProperty("spark.sql.test.master", "local[1]"),
-       "TestSQLContext",
--      new SparkConf()
--        .set("spark.sql.test", "")
--        .set(SQLConf.CODEGEN_FALLBACK.key, "false")
--        .set(SQLConf.CODEGEN_FACTORY_MODE.key, CodegenObjectFactoryMode.CODEGEN_ONLY.toString)
--        .set(HiveUtils.HIVE_METASTORE_BARRIER_PREFIXES.key,
--          "org.apache.spark.sql.hive.execution.PairSerDe")
--        .set(WAREHOUSE_PATH.key, TestHiveContext.makeWarehouseDir().toURI.getPath)
--        // SPARK-8910
--        .set(UI_ENABLED, false)
--        .set(config.UNSAFE_EXCEPTION_ON_MEMORY_LEAK, true)
--        // Hive changed the default of hive.metastore.disallow.incompatible.col.type.changes
--        // from false to true. For details, see the JIRA HIVE-12320 and HIVE-17764.
--        .set("spark.hadoop.hive.metastore.disallow.incompatible.col.type.changes", "false")
--        // Disable ConvertToLocalRelation for better test coverage. Test cases built on
--        // LocalRelation will exercise the optimization rules better by disabling it as
--        // this rule may potentially block testing of other optimization rules such as
--        // ConstantPropagation etc.
--        .set(SQLConf.OPTIMIZER_EXCLUDED_RULES.key, ConvertToLocalRelation.ruleName)))
-+      {
-+        val conf = new SparkConf()
-+          .set("spark.sql.test", "")
-+          .set(SQLConf.CODEGEN_FALLBACK.key, "false")
-+          .set(SQLConf.CODEGEN_FACTORY_MODE.key, CodegenObjectFactoryMode.CODEGEN_ONLY.toString)
-+          .set(HiveUtils.HIVE_METASTORE_BARRIER_PREFIXES.key,
-+            "org.apache.spark.sql.hive.execution.PairSerDe")
-+          .set(WAREHOUSE_PATH.key, TestHiveContext.makeWarehouseDir().toURI.getPath)
-+          // SPARK-8910
-+          .set(UI_ENABLED, false)
-+          .set(config.UNSAFE_EXCEPTION_ON_MEMORY_LEAK, true)
-+          // Hive changed the default of hive.metastore.disallow.incompatible.col.type.changes
-+          // from false to true. For details, see the JIRA HIVE-12320 and HIVE-17764.
-+          .set("spark.hadoop.hive.metastore.disallow.incompatible.col.type.changes", "false")
-+          // Disable ConvertToLocalRelation for better test coverage. Test cases built on
-+          // LocalRelation will exercise the optimization rules better by disabling it as
-+          // this rule may potentially block testing of other optimization rules such as
-+          // ConstantPropagation etc.
-+          .set(SQLConf.OPTIMIZER_EXCLUDED_RULES.key, ConvertToLocalRelation.ruleName)
-+
-+        val v = System.getenv("ENABLE_COMET")
-+        if (v != null && v.toBoolean) {
-+          conf
-+            .set("spark.sql.extensions", "org.apache.comet.CometSparkSessionExtensions")
-+            .set("spark.comet.enabled", "true")
-+
-+          val v = System.getenv("ENABLE_COMET_SCAN_ONLY")
-+          if (v == null || !v.toBoolean) {
-+            conf
-+              .set("spark.comet.exec.enabled", "true")
-+              .set("spark.comet.exec.all.enabled", "true")
-+              .set("spark.shuffle.manager",
-+                "org.apache.spark.sql.comet.execution.shuffle.CometShuffleManager")
-+              .set("spark.comet.exec.shuffle.enabled", "true")
-+          }
-+
-+          val a = System.getenv("ENABLE_COMET_ANSI_MODE")
-+          if (a != null && a.toBoolean) {
-+            conf
-+              .set("spark.sql.ansi.enabled", "true")
-+              .set("spark.comet.ansi.enabled", "true")
-+          }
-+        }
- 
-+        conf
-+      }
-+    ))
- 
- case class TestHiveVersion(hiveClient: HiveClient)
-   extends TestHiveContext(TestHive.sparkContext, hiveClient)