diff --git a/.github/workflows/spark_sql_test.yml b/.github/workflows/spark_sql_test.yml
index 980629174f..146c32c7fe 100644
--- a/.github/workflows/spark_sql_test.yml
+++ b/.github/workflows/spark_sql_test.yml
@@ -142,6 +142,7 @@ jobs:
           - {spark-short: '4.0', spark-full: '4.0.2', java: 17, scan-impl: 'auto'}
           - {spark-short: '4.0', spark-full: '4.0.2', java: 21, scan-impl: 'auto'}
           - {spark-short: '4.1', spark-full: '4.1.1', java: 17, scan-impl: 'auto'}
+          - {spark-short: '4.2', spark-full: '4.2.0-preview4', java: 17, scan-impl: 'auto'}
       fail-fast: false
     name: spark-sql-${{ matrix.config.scan-impl }}-${{ matrix.module.name }}/spark-${{ matrix.config.spark-full }}
     # Hive tests stay on the standard GitHub-hosted runner: HiveSparkSubmitSuite
diff --git a/dev/diffs/4.2.0-preview4.diff b/dev/diffs/4.2.0-preview4.diff
new file mode 100644
index 0000000000..059d914b35
--- /dev/null
+++ b/dev/diffs/4.2.0-preview4.diff
@@ -0,0 +1,4311 @@
+diff --git a/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala b/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
+index 6df8bc85b51..dabb75e2b75 100644
+--- a/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
++++ b/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
+@@ -268,6 +268,11 @@ class FallbackStorageSuite extends SparkFunSuite with LocalSparkContext {
+   }
+ 
+   test("Upload from all decommissioned executors") {
++    // Comet replaces Spark's shuffle with its own native shuffle, which is incompatible with
++    // the fallback storage migration path used by BlockManagerDecommissioner.
++    val cometEnv = System.getenv("ENABLE_COMET")
++    assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
++      "Skipped when Comet is enabled: incompatible with Comet native shuffle storage")
+     sc = new SparkContext(getSparkConf(2, 2))
+     withSpark(sc) { sc =>
+       TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
+@@ -298,6 +303,11 @@ class FallbackStorageSuite extends SparkFunSuite with LocalSparkContext {
+   }
+ 
+   test("Upload multi stages") {
++    // Comet replaces Spark's shuffle with its own native shuffle, which is incompatible with
++    // the fallback storage migration path used by BlockManagerDecommissioner.
++    val cometEnv = System.getenv("ENABLE_COMET")
++    assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
++      "Skipped when Comet is enabled: incompatible with Comet native shuffle storage")
+     sc = new SparkContext(getSparkConf())
+     withSpark(sc) { sc =>
+       TestUtils.waitUntilExecutorsUp(sc, 1, 60000)
+@@ -332,6 +342,11 @@ class FallbackStorageSuite extends SparkFunSuite with LocalSparkContext {
+ 
+   CompressionCodec.shortCompressionCodecNames.keys.foreach { codec =>
+     test(s"$codec - Newly added executors should access old data from remote storage") {
++      // Comet replaces Spark's shuffle with its own native shuffle, which is incompatible with
++      // the fallback storage migration path used by BlockManagerDecommissioner.
++      val cometEnv = System.getenv("ENABLE_COMET")
++      assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
++        "Skipped when Comet is enabled: incompatible with Comet native shuffle storage")
+       sc = new SparkContext(getSparkConf(2, 0).set(IO_COMPRESSION_CODEC, codec))
+       withSpark(sc) { sc =>
+         TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
+diff --git a/pom.xml b/pom.xml
+index 1e7774b3ae6..6d36b281332 100644
+--- a/pom.xml
++++ b/pom.xml
+@@ -152,6 +152,8 @@
+     <kryo.version>4.0.3</kryo.version>
+     <ivy.version>2.5.3</ivy.version>
+     <oro.version>2.0.8</oro.version>
++    <spark.version.short>4.2</spark.version.short>
++    <comet.version>0.16.0-SNAPSHOT</comet.version>
+     <!--
+     If you change codahale.metrics.version, you also need to change
+     the link to metrics.dropwizard.io in docs/monitoring.md.
+@@ -2641,6 +2643,25 @@
+         <artifactId>arpack</artifactId>
+         <version>${netlib.ludovic.dev.version}</version>
+       </dependency>
++      <dependency>
++        <groupId>org.apache.datafusion</groupId>
++        <artifactId>comet-spark-spark${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_${scala.binary.version}</artifactId>
++          </exclusion>
++        </exclusions>
++      </dependency>
+       <!-- SPARK-16484 add `datasketches-java` for support Datasketches HllSketch -->
+       <dependency>
+         <groupId>org.apache.datasketches</groupId>
+diff --git a/sql/core/pom.xml b/sql/core/pom.xml
+index cd7b2fe7805..cbd987e29b8 100644
+--- a/sql/core/pom.xml
++++ b/sql/core/pom.xml
+@@ -97,6 +97,10 @@
+       <groupId>org.apache.spark</groupId>
+       <artifactId>spark-tags_${scala.binary.version}</artifactId>
+     </dependency>
++    <dependency>
++      <groupId>org.apache.datafusion</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/classic/SparkSession.scala b/sql/core/src/main/scala/org/apache/spark/sql/classic/SparkSession.scala
+index f03b4796314..d32d2c49ce3 100644
+--- a/sql/core/src/main/scala/org/apache/spark/sql/classic/SparkSession.scala
++++ b/sql/core/src/main/scala/org/apache/spark/sql/classic/SparkSession.scala
+@@ -1248,6 +1248,23 @@ object SparkSession extends SparkSessionCompanion with Logging {
+     extensions
+   }
+ 
++  /**
++   * Whether Comet extension is enabled
++   */
++  def isCometEnabled: Boolean = {
++    val v = System.getenv("ENABLE_COMET")
++    v == null || v == "1" || v.toBoolean
++  }
++
++
++  private def loadCometExtension(sparkContext: SparkContext): Seq[String] = {
++    if (sparkContext.getConf.getBoolean("spark.comet.enabled", isCometEnabled)) {
++      Seq("org.apache.comet.CometSparkSessionExtensions")
++    } else {
++      Seq.empty
++    }
++  }
++
+   /**
+    * Initialize extensions specified in [[StaticSQLConf]]. The classes will be applied to the
+    * extensions passed into this function.
+@@ -1257,7 +1274,8 @@ object SparkSession extends SparkSessionCompanion with Logging {
+       extensions: SparkSessionExtensions): SparkSessionExtensions = {
+     val extensionConfClassNames = sparkContext.conf.get(StaticSQLConf.SPARK_SESSION_EXTENSIONS)
+       .getOrElse(Seq.empty)
+-    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 4410fe50912..43bcce2a038 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
+@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution
+ 
+ import org.apache.spark.annotation.DeveloperApi
+ import org.apache.spark.sql.catalyst.plans.logical.{EmptyRelation, LogicalPlan}
++import org.apache.spark.sql.comet.CometScanExec
+ import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec, QueryStageExec}
+ import org.apache.spark.sql.execution.adaptive.LogicalQueryStage
+ import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
+@@ -84,6 +85,7 @@ private[execution] object SparkPlanInfo {
+     // dump the file scan metadata (e.g file path) to event log
+     val metadata = plan match {
+       case fileScan: FileSourceScanLike => fileScan.metadata
++      case cometScan: CometScanExec => cometScan.metadata
+       case _ => Map[String, String]()
+     }
+     val childrenInfo = children.flatMap {
+diff --git a/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
+index 21caecc6ec7..141f8f9d968 100644
+--- a/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
++++ b/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
+@@ -1,7 +1,7 @@
+ -- Automatically generated by SQLQueryTestSuite
+ -- !query
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+-    (1, 2), 
++    (1, 2),
+     (1, 2),
+     (1, 3),
+     (1, 3),
+@@ -11,7 +11,7 @@ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+     AS tab1(k, v)
+ -- !query analysis
+ CreateViewCommand `tab1`, SELECT * FROM VALUES
+-    (1, 2), 
++    (1, 2),
+     (1, 2),
+     (1, 3),
+     (1, 3),
+@@ -26,8 +26,8 @@ CreateViewCommand `tab1`, SELECT * FROM VALUES
+ 
+ -- !query
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+-    (1, 2), 
+-    (1, 2), 
++    (1, 2),
++    (1, 2),
+     (2, 3),
+     (3, 4),
+     (null, null),
+@@ -35,8 +35,8 @@ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+     AS tab2(k, v)
+ -- !query analysis
+ CreateViewCommand `tab2`, SELECT * FROM VALUES
+-    (1, 2), 
+-    (1, 2), 
++    (1, 2),
++    (1, 2),
+     (2, 3),
+     (3, 4),
+     (null, null),
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql b/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
+index 13bbd9d81b7..541cdfb1e04 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
+@@ -15,6 +15,12 @@
+ --   limitations under the License.
+ --
+ 
++-- TODO: Disabled due to one of the test failed for Spark4.0
++-- TODO: https://github.com/apache/datafusion-comet/issues/1948
++-- The following query failed
++-- select /*+ COALESCE(1) */ id, a+b, a-b, a*b, a/b from decimals_test order by id
++--SET spark.comet.enabled = false
++
+ CREATE TEMPORARY VIEW t AS SELECT 1.0 as a, 0.0 as b;
+ 
+ -- division, remainder and pmod by 0 return NULL
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/except-all.sql b/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
+index e28f0721a64..788b43c242a 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
+@@ -1,3 +1,7 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4122)
++-- EXCEPT ALL with GROUP BY returns incorrect results on Spark 4.1
++--SET spark.comet.enabled = false
++
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+     (0), (1), (2), (2), (2), (2), (3), (null), (null) AS tab1(c1);
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+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 96dddafd82a..efedbbb3c0e 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/having-and-order-by-recursive-type-name-resolution.sql b/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
+index 1f53ca359fe..0f572f7c6ce 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
+@@ -1,3 +1,7 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4123)
++-- Comet native sort lacks row-format support for Struct(Map(...)) sort keys
++--SET spark.comet.enabled = false
++
+ -- This test file contains queries that test recursive types name resolution in ORDER BY and HAVING clauses.
+ 
+ -- Alias type: String, Table column type: Struct
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/hll.sql b/sql/core/src/test/resources/sql-tests/inputs/hll.sql
+index 35128da97fd..25b873ae859 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/hll.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/hll.sql
+@@ -1,3 +1,8 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4121)
++-- Comet's native scan rejects invalid UTF-8 byte sequences inserted into the
++-- string test table, which Spark allows.
++--SET spark.comet.enabled = false
++
+ -- Positive test cases
+ -- Create a table with some testing data.
+ DROP TABLE IF EXISTS t1;
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql b/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
+index 077caa5dd44..697457d4251 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
+@@ -1,5 +1,9 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4122)
++-- INTERSECT ALL with GROUP BY returns incorrect results on Spark 4.1
++--SET spark.comet.enabled = false
++
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+-    (1, 2), 
++    (1, 2),
+     (1, 2),
+     (1, 3),
+     (1, 3),
+@@ -8,8 +12,8 @@ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+     (null, null)
+     AS tab1(k, v);
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+-    (1, 2), 
+-    (1, 2), 
++    (1, 2),
++    (1, 2),
+     (2, 3),
+     (3, 4),
+     (null, null),
+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..162d5a817b6 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
+@@ -6,6 +6,10 @@
+ -- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/aggregates.sql#L352-L605
+ 
+ -- Test aggregate operator with codegen on and off.
++
++-- Floating-point precision difference between DataFusion and JVM for FILTER aggregates
++--SET spark.comet.enabled = false
++
+ --CONFIG_DIM1 spark.sql.codegen.wholeStage=true
+ --CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=CODEGEN_ONLY
+ --CONFIG_DIM1 spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=NO_CODEGEN
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
+index 3a409eea348..26e9aaf215c 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
+@@ -6,6 +6,9 @@
+ -- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/int4.sql
+ --
+ 
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ CREATE TABLE INT4_TBL(f1 int) USING parquet;
+ 
+ -- [SPARK-28023] Trim the string when cast string type to other types
+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..98b12ae5ccc 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
+@@ -6,6 +6,10 @@
+ -- Test int8 64-bit integers.
+ -- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/int8.sql
+ --
++
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ CREATE TABLE INT8_TBL(q1 bigint, q2 bigint) USING parquet;
+ 
+ -- PostgreSQL implicitly casts string literals to data with integral types, but
+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..f9df0400c99 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
+@@ -6,6 +6,9 @@
+ -- https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/select_having.sql
+ --
+ 
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ -- load test data
+ CREATE TABLE test_having (a int, b int, c string, d string) USING parquet;
+ INSERT INTO test_having VALUES (0, 1, 'XXXX', 'A');
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
+index 7c816d8a416..b1551a2b296 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
+@@ -1,6 +1,23 @@
+ -- A test suite for IN LIMIT in parent side, subquery, and both predicate subquery
+ -- It includes correlated cases.
+ 
++-- TODO: Disabled due to one of the test failed for Spark4.0
++-- TODO: https://github.com/apache/datafusion-comet/issues/1948
++-- The following query failed
++-- SELECT Count(DISTINCT( t1a )),
++--        t1b
++-- FROM   t1
++-- WHERE  t1d NOT IN (SELECT t2d
++--                    FROM   t2
++--                    WHERE t2b > t1b
++--                    ORDER  BY t2b DESC nulls first, t2d
++--     LIMIT 1
++-- OFFSET 1)
++-- GROUP  BY t1b
++-- ORDER BY t1b NULLS last
++--     LIMIT  1
++-- OFFSET 1;
++--SET spark.comet.enabled = false
+ --CONFIG_DIM1 spark.sql.optimizeNullAwareAntiJoin=true
+ --CONFIG_DIM1 spark.sql.optimizeNullAwareAntiJoin=false
+ 
+@@ -61,6 +78,7 @@ WHERE  t1a IN (SELECT t2a
+                WHERE  t1d = t2d)
+ LIMIT  2;
+ 
++--SET spark.sql.cbo.enabled=true
+ -- correlated IN subquery
+ -- LIMIT on both parent and subquery sides
+ SELECT *
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql b/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
+index e803254ea64..74db78aee38 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
+@@ -1,6 +1,9 @@
+ -- This test suits check the spark.sql.viewSchemaBindingMode configuration.
+ -- It can be DISABLED and COMPENSATION
+ 
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ -- Verify the default binding is true
+ SET spark.sql.legacy.viewSchemaBindingMode;
+ 
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql b/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
+index 21a3ce1e122..f4762ab98f0 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
+@@ -1,5 +1,9 @@
+ -- This test suite checks the WITH SCHEMA COMPENSATION clause
+ -- Disable ANSI mode to ensure we are forcing it explicitly in the CASTS
++
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ SET spark.sql.ansi.enabled = false;
+ 
+ -- In COMPENSATION views get invalidated if the type can't cast
+diff --git a/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out b/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
+index 44f95f225ab..361866fc298 100644
+--- a/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
++++ b/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
+@@ -1,7 +1,7 @@
+ -- Automatically generated by SQLQueryTestSuite
+ -- !query
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+-    (1, 2), 
++    (1, 2),
+     (1, 2),
+     (1, 3),
+     (1, 3),
+@@ -17,8 +17,8 @@ struct<>
+ 
+ -- !query
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+-    (1, 2), 
+-    (1, 2), 
++    (1, 2),
++    (1, 2),
+     (2, 3),
+     (3, 4),
+     (null, null),
+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 a928a9131d4..d7c017a2f1c 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
+@@ -49,7 +49,7 @@ import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, AQEProp
+ import org.apache.spark.sql.execution.columnar._
+ import org.apache.spark.sql.execution.command.CommandUtils
+ import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
+-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
+@@ -534,7 +534,8 @@ class CachedTableSuite extends QueryTest
+       df.collect()
+     }
+     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") {
+@@ -1673,9 +1674,18 @@ class CachedTableSuite extends QueryTest
+           _.nodeName.contains("TableCacheQueryStage"))
+         val aqeNode = findNodeInSparkPlanInfo(inMemoryScanNode.get,
+           _.nodeName.contains("AdaptiveSparkPlan"))
+-        val aqePlanRoot = findNodeInSparkPlanInfo(inMemoryScanNode.get,
+-          _.nodeName.contains("ResultQueryStage"))
+-        aqePlanRoot.get.children.head.nodeName == "AQEShuffleRead"
++        // Spark 4.0 wraps results in ResultQueryStage. The coalescing indicator is AQEShuffleRead
++        // as the direct child of InputAdapter.
++        // AdaptiveSparkPlan -> ResultQueryStage -> WholestageCodegen ->
++        //     CometColumnarToRow -> InputAdapter -> AQEShuffleRead (if coalesced)
++        val resultStage = aqeNode.get.children.head  // ResultQueryStage
++        val wsc = resultStage.children.head           // WholeStageCodegen
++        val c2r = wsc.children.head                   // ColumnarToRow or CometColumnarToRow
++        val inputAdapter = c2r.children.head           // InputAdapter
++        resultStage.nodeName  ==   "ResultQueryStage" &&
++          wsc.nodeName.startsWith("WholeStageCodegen") && // could be "WholeStageCodegen (1)"
++          (c2r.nodeName ==  "CometColumnarToRow" || c2r.nodeName == "ColumnarToRow") &&
++          inputAdapter.children.head.nodeName == "AQEShuffleRead"
+       }
+ 
+       withTempView("t0", "t1", "t2") {
+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 a55638b2431..476e92b28cc 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
+@@ -31,7 +31,7 @@ import org.apache.spark.sql.errors.DataTypeErrors.toSQLId
+ 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
+@@ -941,7 +941,7 @@ 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 ed182322aec..1ae6afa686a 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/DataFrameSetOperationsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
+index 93ff7becaec..87537a25b3b 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
+@@ -23,10 +23,11 @@ import java.util.Locale
+ import org.apache.spark.sql.catalyst.optimizer.RemoveNoopUnion
+ import org.apache.spark.sql.catalyst.plans.logical.Union
+ import org.apache.spark.sql.catalyst.plans.physical.UnknownPartitioning
++import org.apache.spark.sql.comet.CometUnionExec
+ import org.apache.spark.sql.execution.{SparkPlan, UnionExec}
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+ import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
+-import org.apache.spark.sql.execution.exchange.{ReusedExchangeExec, ShuffleExchangeExec}
++import org.apache.spark.sql.execution.exchange.{ReusedExchangeExec, ShuffleExchangeLike}
+ import org.apache.spark.sql.functions._
+ import org.apache.spark.sql.internal.SQLConf
+ import org.apache.spark.sql.test.{ExamplePoint, ExamplePointUDT, SharedSparkSession, SQLTestData}
+@@ -1519,11 +1520,12 @@ class DataFrameSetOperationsSuite extends QueryTest
+       val union = df1.repartition($"a").union(df2.repartition($"a"))
+       val unionExec = union.queryExecution.executedPlan.collect {
+         case u: UnionExec => u
++        case u: CometUnionExec => u
+       }
+       assert(unionExec.size == 1)
+ 
+       val shuffle = df1.repartition($"a").queryExecution.executedPlan.collect {
+-        case s: ShuffleExchangeExec => s
++        case s: ShuffleExchangeLike => s
+       }
+       assert(shuffle.size == 1)
+ 
+@@ -1554,11 +1556,12 @@ class DataFrameSetOperationsSuite extends QueryTest
+         val union = df1.repartition($"a").union(df2.repartition($"d"))
+         val unionExec = union.queryExecution.executedPlan.collect {
+           case u: UnionExec => u
++          case u: CometUnionExec => u
+         }
+         assert(unionExec.size == 1)
+ 
+         val shuffle = df1.repartition($"a").queryExecution.executedPlan.collect {
+-          case s: ShuffleExchangeExec => s
++          case s: ShuffleExchangeLike => s
+         }
+         assert(shuffle.size == 1)
+ 
+@@ -1573,10 +1576,10 @@ class DataFrameSetOperationsSuite extends QueryTest
+         // Avoid unnecessary shuffle if union output partitioning is enabled
+         val shuffledUnion = union.repartition($"a")
+         val shuffleNumBefore = union.queryExecution.executedPlan.collect {
+-          case s: ShuffleExchangeExec => s
++          case s: ShuffleExchangeLike => s
+         }
+         val shuffleNumAfter = shuffledUnion.queryExecution.executedPlan.collect {
+-          case s: ShuffleExchangeExec => s
++          case s: ShuffleExchangeLike => s
+         }
+ 
+         if (enabled) {
+@@ -1605,6 +1608,7 @@ class DataFrameSetOperationsSuite extends QueryTest
+         val union = df1.repartitionByRange($"a").union(df2.repartitionByRange($"d"))
+         val unionExec = union.queryExecution.executedPlan.collect {
+           case u: UnionExec => u
++          case u: CometUnionExec => u
+         }
+         assert(unionExec.size == 1)
+ 
+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 9c2f4188992..0ee3f3450fd 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
+@@ -36,11 +36,12 @@ import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference,
+ import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
+ import org.apache.spark.sql.catalyst.parser.ParseException
+ import org.apache.spark.sql.catalyst.plans.logical.{Filter, LeafNode, LocalRelation, LogicalPlan, OneRowRelation}
++import org.apache.spark.sql.comet.CometBroadcastExchangeExec
+ 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
+@@ -1493,7 +1494,7 @@ 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 _ =>
+     }
+   }
+@@ -1683,7 +1684,7 @@ 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)
+@@ -1691,10 +1692,12 @@ 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)
++          case e: BroadcastExchangeExec => true
++          case _: CometBroadcastExchangeExec => true
++        }.size === 1)
+       assert(
+         collect(join2.queryExecution.executedPlan) { case e: ReusedExchangeExec => true }.size == 4)
+     }
+@@ -2092,7 +2095,7 @@ 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)
+   }
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+index 6e9f3385571..15615f3e417 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+@@ -24,8 +24,9 @@ import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression
+ import org.apache.spark.sql.catalyst.optimizer.TransposeWindow
+ import org.apache.spark.sql.catalyst.plans.logical.{Window => LogicalWindow}
+ import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
++import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+-import org.apache.spark.sql.execution.exchange.{ENSURE_REQUIREMENTS, Exchange, ShuffleExchangeExec}
++import org.apache.spark.sql.execution.exchange.{ENSURE_REQUIREMENTS, Exchange, ShuffleExchangeExec, ShuffleExchangeLike}
+ import org.apache.spark.sql.execution.window.WindowExec
+ import org.apache.spark.sql.expressions.{Aggregator, MutableAggregationBuffer, UserDefinedAggregateFunction, Window}
+ import org.apache.spark.sql.functions._
+@@ -1142,10 +1143,12 @@ class DataFrameWindowFunctionsSuite extends QueryTest
+     }
+ 
+     def isShuffleExecByRequirement(
+-        plan: ShuffleExchangeExec,
++        plan: ShuffleExchangeLike,
+         desiredClusterColumns: Seq[String]): Boolean = plan match {
+       case ShuffleExchangeExec(op: HashPartitioning, _, ENSURE_REQUIREMENTS, _) =>
+         partitionExpressionsColumns(op.expressions) === desiredClusterColumns
++      case CometShuffleExchangeExec(op: HashPartitioning, _, _, ENSURE_REQUIREMENTS, _, _) =>
++        partitionExpressionsColumns(op.expressions) === desiredClusterColumns
+       case _ => false
+     }
+ 
+@@ -1168,7 +1171,7 @@ class DataFrameWindowFunctionsSuite extends QueryTest
+       val shuffleByRequirement = windowed.queryExecution.executedPlan.exists {
+         case w: WindowExec =>
+           w.child.exists {
+-            case s: ShuffleExchangeExec => isShuffleExecByRequirement(s, Seq("key1", "key2"))
++            case s: ShuffleExchangeLike => isShuffleExecByRequirement(s, Seq("key1", "key2"))
+             case _ => false
+           }
+         case _ => false
+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 1e99642f2e3..66621cb2806 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
+@@ -46,7 +46,7 @@ import org.apache.spark.sql.catalyst.trees.DataFrameQueryContext
+ 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.runtime.MemoryStream
+ import org.apache.spark.sql.expressions.UserDefinedFunction
+ import org.apache.spark.sql.functions._
+@@ -2522,7 +2522,7 @@ 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 83d7d269565..6e67897d92c 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.{CometNativeScanExec, CometScanExec, CometSubqueryBroadcastExec}
+ import org.apache.spark.sql.connector.catalog.{InMemoryTableCatalog, InMemoryTableWithV2FilterCatalog}
+ import org.apache.spark.sql.execution._
+ import org.apache.spark.sql.execution.adaptive._
+@@ -193,6 +194,7 @@ abstract class DynamicPartitionPruningSuiteBase
+     }
+     val subqueryBroadcast = dpExprs.collect {
+       case InSubqueryExec(_, b: SubqueryBroadcastExec, _, _, _, _) => b
++      case InSubqueryExec(_, b: CometSubqueryBroadcastExec, _, _, _, _) => b
+     }
+ 
+     val hasFilter = if (withSubquery) "Should" else "Shouldn't"
+@@ -247,6 +249,8 @@ abstract class DynamicPartitionPruningSuiteBase
+     val buf = collectDynamicPruningExpressions(df.queryExecution.executedPlan).collect {
+       case InSubqueryExec(_, b: SubqueryBroadcastExec, _, _, _, _) =>
+         b.indices.map(idx => b.buildKeys(idx))
++      case InSubqueryExec(_, b: CometSubqueryBroadcastExec, _, _, _, _) =>
++        b.indices.map(idx => b.buildKeys(idx))
+     }
+     assert(buf.distinct.size == n)
+   }
+@@ -262,6 +266,12 @@ 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 s: CometNativeScanExec => s.partitionFilters.collect {
++        case d: DynamicPruningExpression => d.child
++      }
+       case _ => Nil
+     }
+   }
+@@ -1204,10 +1214,16 @@ abstract class DynamicPartitionPruningSuiteBase
+ 
+       val plan = df.queryExecution.executedPlan
+       val countSubqueryBroadcasts =
+-        collectWithSubqueries(plan)({ case _: SubqueryBroadcastExec => 1 }).sum
++        collectWithSubqueries(plan)({
++          case _: SubqueryBroadcastExec => 1
++          case _: CometSubqueryBroadcastExec => 1
++        }).sum
+ 
+       val countReusedSubqueryBroadcasts =
+-        collectWithSubqueries(plan)({ case ReusedSubqueryExec(_: SubqueryBroadcastExec) => 1}).sum
++        collectWithSubqueries(plan)({
++          case ReusedSubqueryExec(_: SubqueryBroadcastExec) => 1
++          case ReusedSubqueryExec(_: CometSubqueryBroadcastExec) => 1
++        }).sum
+ 
+       assert(countSubqueryBroadcasts == 1)
+       assert(countReusedSubqueryBroadcasts == 1)
+@@ -1215,7 +1231,8 @@ abstract class DynamicPartitionPruningSuiteBase
+   }
+ 
+   test("SPARK-32509: Unused Dynamic Pruning filter shouldn't affect " +
+-    "canonicalization and exchange reuse") {
++    "canonicalization and exchange reuse",
++    IgnoreComet("TODO: https://github.com/apache/datafusion-comet/issues/4045")) {
+     withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
+       withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+           SQLConf.V2_BUCKETING_ENABLED.key -> "false") {
+@@ -1331,6 +1348,7 @@ abstract class DynamicPartitionPruningSuiteBase
+   }
+ 
+   test("Subquery reuse across the whole plan",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3313"),
+     DisableAdaptiveExecution("DPP in AQE must reuse broadcast")) {
+     withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "true",
+       SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
+@@ -1425,7 +1443,8 @@ abstract class DynamicPartitionPruningSuiteBase
+     }
+   }
+ 
+-  test("SPARK-34637: DPP side broadcast query stage is created firstly") {
++  test("SPARK-34637: DPP side broadcast query stage is created firstly",
++    IgnoreComet("TODO: https://github.com/apache/datafusion-comet/issues/4045")) {
+     withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "true") {
+       val df = sql(
+         """ WITH v as (
+@@ -1579,6 +1598,7 @@ abstract class DynamicPartitionPruningSuiteBase
+ 
+         val subqueryBroadcastExecs = collectWithSubqueries(df.queryExecution.executedPlan) {
+           case s: SubqueryBroadcastExec => s
++          case s: CometSubqueryBroadcastExec => s
+         }
+         assert(subqueryBroadcastExecs.size === 1)
+         subqueryBroadcastExecs.foreach { subqueryBroadcastExec =>
+@@ -1731,6 +1751,10 @@ 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 s: CometNativeScanExec =>
++                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 e2a01775b89..5026f47eb5a 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
+@@ -470,7 +470,8 @@ 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
+@@ -548,7 +549,9 @@ 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 b41d106eb22..d32d1dd7edc 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 +33,8 @@ import org.apache.spark.sql.catalyst.expressions.{AttributeReference, GreaterTha
+ import org.apache.spark.sql.catalyst.expressions.IntegralLiteralTestUtils.{negativeInt, positiveInt}
+ import org.apache.spark.sql.catalyst.plans.logical.Filter
+ import org.apache.spark.sql.catalyst.types.DataTypeUtils
++import org.apache.spark.sql.catalyst.util.quietly
++import org.apache.spark.sql.comet.{CometBatchScanExec, CometNativeScanExec, 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
+@@ -204,7 +206,11 @@ class FileBasedDataSourceSuite extends QueryTest
+   }
+ 
+   allFileBasedDataSources.foreach { format =>
+-    testQuietly(s"Enabling/disabling ignoreMissingFiles using $format") {
++    val ignoreMissingTags: Seq[org.scalatest.Tag] = if (format == "parquet") {
++      Seq(IgnoreCometNativeDataFusion(
++        "https://github.com/apache/datafusion-comet/issues/3314"))
++    } else Seq.empty
++    test(s"Enabling/disabling ignoreMissingFiles using $format", ignoreMissingTags: _*) { quietly {
+       def testIgnoreMissingFiles(options: Map[String, String]): Unit = {
+         withTempDir { dir =>
+           val basePath = dir.getCanonicalPath
+@@ -264,7 +270,7 @@ class FileBasedDataSourceSuite extends QueryTest
+           }
+         }
+       }
+-    }
++    }}
+   }
+ 
+   Seq("json", "orc").foreach { format =>
+@@ -655,18 +661,25 @@ class FileBasedDataSourceSuite extends QueryTest
+             checkAnswer(sql(s"select A from $tableName"), data.select("A"))
+ 
+             // RuntimeException is triggered at executor side, which is then wrapped as
+-            // SparkException at driver side
++            // SparkException at driver side. Comet native readers throw
++            // SparkRuntimeException directly without the SparkException wrapper.
++            def getDuplicateFieldError(query: String): SparkRuntimeException = {
++              try {
++                sql(query).collect()
++                fail("Expected an exception").asInstanceOf[SparkRuntimeException]
++              } catch {
++                case e: SparkException =>
++                  e.getCause.asInstanceOf[SparkRuntimeException]
++                case e: SparkRuntimeException => e
++              }
++            }
+             checkError(
+-              exception = intercept[SparkException] {
+-                sql(s"select b from $tableName").collect()
+-              }.getCause.asInstanceOf[SparkRuntimeException],
++              exception = getDuplicateFieldError(s"select b from $tableName"),
+               condition = "_LEGACY_ERROR_TEMP_2093",
+               parameters = Map("requiredFieldName" -> "b", "matchedOrcFields" -> "[b, B]")
+             )
+             checkError(
+-              exception = intercept[SparkException] {
+-                sql(s"select B from $tableName").collect()
+-              }.getCause.asInstanceOf[SparkRuntimeException],
++              exception = getDuplicateFieldError(s"select B from $tableName"),
+               condition = "_LEGACY_ERROR_TEMP_2093",
+               parameters = Map("requiredFieldName" -> "b", "matchedOrcFields" -> "[b, B]")
+             )
+@@ -954,6 +967,7 @@ class FileBasedDataSourceSuite extends QueryTest
+             assert(bJoinExec.isEmpty)
+             val smJoinExec = collect(joinedDF.queryExecution.executedPlan) {
+               case smJoin: SortMergeJoinExec => smJoin
++              case smJoin: CometSortMergeJoinExec => smJoin
+             }
+             assert(smJoinExec.nonEmpty)
+           }
+@@ -1014,6 +1028,7 @@ 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)
+@@ -1055,6 +1070,7 @@ 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)
+@@ -1239,6 +1255,9 @@ 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: CometNativeScanExec => 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..5691536c114
+--- /dev/null
++++ b/sql/core/src/test/scala/org/apache/spark/sql/IgnoreComet.scala
+@@ -0,0 +1,45 @@
++/*
++ * 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")
++case class IgnoreCometNativeIcebergCompat(reason: String) extends Tag("DisableComet")
++case class IgnoreCometNativeDataFusion(reason: String) extends Tag("DisableComet")
++case class IgnoreCometNativeScan(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 df9f1d1ed2d..ad3dd43b652 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
+@@ -22,6 +22,7 @@ import org.apache.logging.log4j.Level
+ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide, EliminateResolvedHint}
+ 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
+@@ -361,6 +362,7 @@ class JoinHintSuite extends SharedSparkSession with AdaptiveSparkPlanHelper {
+     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)
+@@ -370,6 +372,7 @@ class JoinHintSuite extends SharedSparkSession with AdaptiveSparkPlanHelper {
+     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 dd3bd0a9e96..b2d2703249b 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
+@@ -29,7 +29,8 @@ import org.apache.spark.sql.catalyst.analysis.UnresolvedRelation
+ import org.apache.spark.sql.catalyst.expressions.{Ascending, GenericRow, SortOrder}
+ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, JoinSelectionHelper}
+ import org.apache.spark.sql.catalyst.plans.logical.{Filter, HintInfo, Join, JoinHint, NO_BROADCAST_AND_REPLICATION}
+-import org.apache.spark.sql.execution.{BinaryExecNode, FilterExec, ProjectExec, SortExec, SparkPlan, WholeStageCodegenExec}
++import org.apache.spark.sql.comet._
++import org.apache.spark.sql.execution.{BinaryExecNode, ColumnarToRowExec, FilterExec, InputAdapter, ProjectExec, SortExec, SparkPlan, WholeStageCodegenExec}
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+ import org.apache.spark.sql.execution.exchange.{ShuffleExchangeExec, ShuffleExchangeLike}
+ import org.apache.spark.sql.execution.joins._
+@@ -805,7 +806,8 @@ 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") {
+@@ -813,7 +815,8 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+     }
+   }
+ 
+-  test("SPARK-49386: test SortMergeJoin (with spill by size threshold)") {
++  test("SPARK-49386: test SortMergeJoin (with spill by size threshold)",
++      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 -> Int.MaxValue.toString,
+@@ -943,10 +946,12 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+       val physical = df.queryExecution.sparkPlan
+       val physicalJoins = physical.collect {
+         case j: SortMergeJoinExec => j
++        case j: CometSortMergeJoinExec => j.originalPlan.asInstanceOf[SortMergeJoinExec]
+       }
+       val executed = df.queryExecution.executedPlan
+       val executedJoins = collect(executed) {
+         case j: SortMergeJoinExec => j
++        case j: CometSortMergeJoinExec => j.originalPlan.asInstanceOf[SortMergeJoinExec]
+       }
+       // This only applies to the above tested queries, in which a child SortMergeJoin always
+       // contains the SortOrder required by its parent SortMergeJoin. Thus, SortExec should never
+@@ -1192,9 +1197,11 @@ 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)
+     })
+   }
+ 
+@@ -1211,10 +1218,11 @@ 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
+@@ -1224,10 +1232,13 @@ 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)
+     })
+   }
+ 
+@@ -1335,12 +1346,12 @@ 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)
+     }
+@@ -1399,12 +1410,14 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+           val smjDF = df1.hint("SHUFFLE_MERGE").join(df2, joinExprs, "leftouter")
+           assert(collect(smjDF.queryExecution.executedPlan) {
+             case _: SortMergeJoinExec => true
++            case _: CometSortMergeJoinExec => true
+           }.size === 1)
+           val smjResult = smjDF.collect()
+ 
+           val shjDF = df1.hint("SHUFFLE_HASH").join(df2, joinExprs, "leftouter")
+           assert(collect(shjDF.queryExecution.executedPlan) {
+             case _: ShuffledHashJoinExec => true
++            case _: CometHashJoinExec => true
+           }.size === 1)
+           // Same result between shuffled hash join and sort merge join
+           checkAnswer(shjDF, smjResult)
+@@ -1415,12 +1428,14 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+           val smjDF = df2.join(df1.hint("SHUFFLE_MERGE"), joinExprs, "rightouter")
+           assert(collect(smjDF.queryExecution.executedPlan) {
+             case _: SortMergeJoinExec => true
++            case _: CometSortMergeJoinExec => true
+           }.size === 1)
+           val smjResult = smjDF.collect()
+ 
+           val shjDF = df2.join(df1.hint("SHUFFLE_HASH"), joinExprs, "rightouter")
+           assert(collect(shjDF.queryExecution.executedPlan) {
+             case _: ShuffledHashJoinExec => true
++            case _: CometHashJoinExec => true
+           }.size === 1)
+           // Same result between shuffled hash join and sort merge join
+           checkAnswer(shjDF, smjResult)
+@@ -1464,13 +1479,20 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+         assert(shjCodegenDF.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_ : ShuffledHashJoinExec) => true
+           case WholeStageCodegenExec(ProjectExec(_, _ : ShuffledHashJoinExec)) => true
++          case WholeStageCodegenExec(ColumnarToRowExec(InputAdapter(_: CometHashJoinExec))) =>
++            true
++          case WholeStageCodegenExec(ColumnarToRowExec(
++            InputAdapter(CometProjectExec(_, _, _, _, _: CometHashJoinExec, _)))) => true
++          case _: CometHashJoinExec => true
+         }.size === 1)
+         checkAnswer(shjCodegenDF, Seq.empty)
+ 
+         withSQLConf(SQLConf.WHOLESTAGE_CODEGEN_ENABLED.key -> "false") {
+           val shjNonCodegenDF = df1.join(df2.hint("SHUFFLE_HASH"), $"k1" === $"k2", joinType)
+           assert(shjNonCodegenDF.queryExecution.executedPlan.collect {
+-            case _: ShuffledHashJoinExec => true }.size === 1)
++            case _: ShuffledHashJoinExec => true
++            case _: CometHashJoinExec => true
++          }.size === 1)
+           checkAnswer(shjNonCodegenDF, Seq.empty)
+         }
+       }
+@@ -1518,7 +1540,8 @@ 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 = {
+@@ -1547,9 +1570,12 @@ 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
+@@ -1558,9 +1584,12 @@ 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
+@@ -1570,7 +1599,8 @@ 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))
+     }
+   }
+@@ -1643,6 +1673,9 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+           Seq(semiJoinDF, antiJoinDF).foreach { df =>
+             assert(collect(df.queryExecution.executedPlan) {
+               case j: ShuffledHashJoinExec if j.ignoreDuplicatedKey == ignoreDuplicatedKey => true
++              case j: CometHashJoinExec
++                if j.originalPlan.asInstanceOf[ShuffledHashJoinExec].ignoreDuplicatedKey ==
++                  ignoreDuplicatedKey => true
+             }.size == 1)
+           }
+       }
+@@ -1687,14 +1720,20 @@ class JoinSuite extends QueryTest with SharedSparkSession with AdaptiveSparkPlan
+ 
+   test("SPARK-43113: Full outer join with duplicate stream-side references in condition (SMJ)") {
+     def check(plan: SparkPlan): Unit = {
+-      assert(collect(plan) { case _: SortMergeJoinExec => true }.size === 1)
++      assert(collect(plan) {
++        case _: SortMergeJoinExec => true
++        case _: CometSortMergeJoinExec => true
++      }.size === 1)
+     }
+     dupStreamSideColTest("MERGE", check)
+   }
+ 
+   test("SPARK-43113: Full outer join with duplicate stream-side references in condition (SHJ)") {
+     def check(plan: SparkPlan): Unit = {
+-      assert(collect(plan) { case _: ShuffledHashJoinExec => true }.size === 1)
++      assert(collect(plan) {
++        case _: ShuffledHashJoinExec => true
++        case _: CometHashJoinExec => true
++      }.size === 1)
+     }
+     dupStreamSideColTest("SHUFFLE_HASH", check)
+   }
+@@ -1830,7 +1869,8 @@ class ThreadLeakInSortMergeJoinSuite
+       sparkConf.set(SHUFFLE_SPILL_NUM_ELEMENTS_FORCE_SPILL_THRESHOLD, 20))
+   }
+ 
+-  test("SPARK-47146: thread leak when doing SortMergeJoin (with spill)") {
++  test("SPARK-47146: thread leak when doing SortMergeJoin (with spill)",
++    IgnoreComet("Comet SMJ doesn't spill yet")) {
+ 
+     withSQLConf(
+       SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "1") {
+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 e4b5e10f7c3..c6efde09c8a 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.util.Utils
+  * }}}
+  */
+ // 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 096588d6e6d..dc04b48f90d 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
+@@ -1526,7 +1526,8 @@ 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/SQLQueryTestSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala
+index f4be4c38ce9..2fc9a46254f 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQueryTestSuite.scala
+@@ -186,7 +186,16 @@ class SQLQueryTestSuite extends QueryTest with SharedSparkSession with SQLHelper
+     if (TestUtils.testCommandAvailable("/bin/bash")) Nil else Set("transform.sql")
+   /** List of test cases to ignore, in lower cases. */
+   protected def ignoreList: Set[String] = Set(
+-    "ignored.sql" // Do NOT remove this one. It is here to test the ignore functionality.
++    "ignored.sql", // Do NOT remove this one. It is here to test the ignore functionality.
++    // Comet: ORDER BY column has ties; row order is non-deterministic when
++    // running with high parallelism. Tracked for restoration once Comet
++    // produces stable ordering for these queries.
++    "replacing-missing-expression-with-alias.sql",
++    "in-set-operations.sql",
++    // Comet: theta_sketch_estimate(theta_sketch_agg(...)) over collated
++    // strings reads sketch binary as UTF-8 and fails. Skip until Comet
++    // adds proper handling or falls back for theta-sketch on collation.
++    "thetasketch.sql"
+   ) ++ otherIgnoreList
+   /** List of test cases that require TPCDS table schemas to be loaded. */
+   private def requireTPCDSCases: Seq[String] = Seq("pipe-operators.sql")
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
+index 5a25e52a1a4..927d9e0099d 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
+@@ -274,6 +274,8 @@ class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper with Adapt
+     withSession(extensions) { session =>
+       session.conf.set(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key, true)
+       session.conf.set(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key, "-1")
++      // https://github.com/apache/datafusion-comet/issues/1197
++      session.conf.set("spark.comet.enabled", false)
+       assert(session.sessionState.columnarRules.contains(
+         MyColumnarRule(PreRuleReplaceAddWithBrokenVersion(), MyPostRule())))
+       import session.implicits._
+@@ -332,6 +334,8 @@ class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper with Adapt
+     }
+     withSession(extensions) { session =>
+       session.conf.set(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key, enableAQE)
++      // https://github.com/apache/datafusion-comet/issues/1197
++      session.conf.set("spark.comet.enabled", false)
+       assert(session.sessionState.columnarRules.contains(
+         MyColumnarRule(PreRuleReplaceAddWithBrokenVersion(), MyPostRule())))
+       import session.implicits._
+@@ -370,6 +374,8 @@ class SparkSessionExtensionSuite extends SparkFunSuite with SQLHelper with Adapt
+     val session = SparkSession.builder()
+       .master("local[1]")
+       .config(COLUMN_BATCH_SIZE.key, 2)
++      // https://github.com/apache/datafusion-comet/issues/1197
++      .config("spark.comet.enabled", false)
+       .withExtensions { extensions =>
+         extensions.injectColumnar(session =>
+           MyColumnarRule(PreRuleReplaceAddWithBrokenVersion(), MyPostRule())) }
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionJobTaggingAndCancellationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionJobTaggingAndCancellationSuite.scala
+index d7b2511eac2..d5f5b940b94 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionJobTaggingAndCancellationSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionJobTaggingAndCancellationSuite.scala
+@@ -82,6 +82,10 @@ class SparkSessionJobTaggingAndCancellationSuite
+   }
+ 
+   test("Tags set from session are prefixed with session UUID") {
++    // This test relies on job scheduling order which is timing-dependent and becomes unreliable
++    // when Comet is enabled due to changes in async execution behaviour.
++    assume(!classic.SparkSession.isCometEnabled,
++      "Skipped when Comet is enabled: test results are timing-dependent")
+     sc = new SparkContext("local[2]", "test")
+     val session = classic.SparkSession.builder().sparkContext(sc).getOrCreate()
+     import session.implicits._
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
+index 7bfc8cf4fa6..7a425b74184 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/StringFunctionsSuite.scala
+@@ -17,6 +17,8 @@
+ 
+ package org.apache.spark.sql
+ 
++import org.apache.comet.CometConf
++
+ import org.apache.spark.{SPARK_DOC_ROOT, SparkIllegalArgumentException, SparkRuntimeException}
+ import org.apache.spark.sql.catalyst.expressions.Cast._
+ import org.apache.spark.sql.catalyst.expressions.IsNotNull
+@@ -179,29 +181,31 @@ class StringFunctionsSuite extends QueryTest with SharedSparkSession {
+   }
+ 
+   test("string regex_replace / regex_extract") {
+-    val df = Seq(
+-      ("100-200", "(\\d+)-(\\d+)", "300"),
+-      ("100-200", "(\\d+)-(\\d+)", "400"),
+-      ("100-200", "(\\d+)", "400")).toDF("a", "b", "c")
++    withSQLConf(CometConf.getExprAllowIncompatConfigKey("regexp") -> "true") {
++      val df = Seq(
++        ("100-200", "(\\d+)-(\\d+)", "300"),
++        ("100-200", "(\\d+)-(\\d+)", "400"),
++        ("100-200", "(\\d+)", "400")).toDF("a", "b", "c")
+ 
+-    checkAnswer(
+-      df.select(
+-        regexp_replace($"a", "(\\d+)", "num"),
+-        regexp_replace($"a", $"b", $"c"),
+-        regexp_extract($"a", "(\\d+)-(\\d+)", 1)),
+-      Row("num-num", "300", "100") :: Row("num-num", "400", "100") ::
+-        Row("num-num", "400-400", "100") :: Nil)
+-
+-    // for testing the mutable state of the expression in code gen.
+-    // This is a hack way to enable the codegen, thus the codegen is enable by default,
+-    // it will still use the interpretProjection if projection followed by a LocalRelation,
+-    // hence we add a filter operator.
+-    // See the optimizer rule `ConvertToLocalRelation`
+-    checkAnswer(
+-      df.filter("isnotnull(a)").selectExpr(
+-        "regexp_replace(a, b, c)",
+-        "regexp_extract(a, b, 1)"),
+-      Row("300", "100") :: Row("400", "100") :: Row("400-400", "100") :: Nil)
++      checkAnswer(
++        df.select(
++          regexp_replace($"a", "(\\d+)", "num"),
++          regexp_replace($"a", $"b", $"c"),
++          regexp_extract($"a", "(\\d+)-(\\d+)", 1)),
++        Row("num-num", "300", "100") :: Row("num-num", "400", "100") ::
++          Row("num-num", "400-400", "100") :: Nil)
++
++      // for testing the mutable state of the expression in code gen.
++      // This is a hack way to enable the codegen, thus the codegen is enable by default,
++      // it will still use the interpretProjection if projection followed by a LocalRelation,
++      // hence we add a filter operator.
++      // See the optimizer rule `ConvertToLocalRelation`
++      checkAnswer(
++        df.filter("isnotnull(a)").selectExpr(
++          "regexp_replace(a, b, c)",
++          "regexp_extract(a, b, 1)"),
++        Row("300", "100") :: Row("400", "100") :: Row("400-400", "100") :: Nil)
++    }
+   }
+ 
+   test("non-matching optional group") {
+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 b53610761d0..49e9176c2e7 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
+@@ -23,10 +23,11 @@ import org.apache.spark.SparkRuntimeException
+ import org.apache.spark.sql.catalyst.expressions.{EqualTo, NamedExpression, OuterReference, SubqueryExpression}
+ import org.apache.spark.sql.catalyst.plans.{LeftAnti, LeftSemi}
+ import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Filter, Join, LogicalPlan, Project, Sort, Union}
++import org.apache.spark.sql.comet.{CometNativeColumnarToRowExec, CometNativeScanExec, 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
+@@ -1529,6 +1530,18 @@ 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 CometNativeColumnarToRowExec(
++        fs: CometNativeScanExec) =>
++          fs.partitionFilters.exists(ExecSubqueryExpression.hasSubquery) &&
++            fs.inputRDDs().forall(
++              _.asInstanceOf[FileScanRDD].filePartitions.forall(
++                _.files.forall(_.urlEncodedPath.contains("p=0"))))
+         case _ => false
+       })
+     }
+@@ -2094,7 +2107,7 @@ class SubquerySuite extends QueryTest
+ 
+       df.collect()
+       val exchanges = collect(df.queryExecution.executedPlan) {
+-        case s: ShuffleExchangeExec => s
++        case s: ShuffleExchangeLike => s
+       }
+       assert(exchanges.size === 1)
+     }
+@@ -2465,18 +2478,25 @@ class SubquerySuite extends QueryTest
+     def checkFileSourceScan(query: String, answer: Seq[Row]): Unit = {
+       val df = sql(query)
+       checkAnswer(df, answer)
+-      val fileSourceScanExec = collect(df.queryExecution.executedPlan) {
+-        case f: FileSourceScanExec => f
++      val dataSourceScanExec = collect(df.queryExecution.executedPlan) {
++        case f: FileSourceScanLike => f
++        case c: CometScanExec => c
++        case n: CometNativeScanExec => n
+       }
+       sparkContext.listenerBus.waitUntilEmpty()
+-      assert(fileSourceScanExec.size === 1)
+-      val scalarSubquery = fileSourceScanExec.head.dataFilters.flatMap(_.collect {
+-        case s: ScalarSubquery => s
+-      })
++      assert(dataSourceScanExec.size === 1)
++      val scalarSubquery = dataSourceScanExec.head match {
++        case f: FileSourceScanLike =>
++          f.dataFilters.flatMap(_.collect { case s: ScalarSubquery => s })
++        case c: CometScanExec =>
++          c.dataFilters.flatMap(_.collect { case s: ScalarSubquery => s })
++        case n: CometNativeScanExec =>
++          n.dataFilters.flatMap(_.collect { case s: ScalarSubquery => s })
++      }
+       assert(scalarSubquery.length === 1)
+       assert(scalarSubquery.head.plan.isInstanceOf[ReusedSubqueryExec])
+-      assert(fileSourceScanExec.head.metrics("numFiles").value === 1)
+-      assert(fileSourceScanExec.head.metrics("numOutputRows").value === answer.size)
++      assert(dataSourceScanExec.head.metrics("numFiles").value === 1)
++      assert(dataSourceScanExec.head.metrics("numOutputRows").value === answer.size)
+     }
+ 
+     withTable("t1", "t2") {
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/VariantShreddingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/VariantShreddingSuite.scala
+index fee375db10a..8c2c24e2c5f 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/VariantShreddingSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/VariantShreddingSuite.scala
+@@ -33,7 +33,9 @@ import org.apache.spark.sql.types._
+ import org.apache.spark.types.variant._
+ import org.apache.spark.unsafe.types.{UTF8String, VariantVal}
+ 
+-class VariantShreddingSuite extends QueryTest with SharedSparkSession with ParquetTest {
++class VariantShreddingSuite extends QueryTest with SharedSparkSession with ParquetTest
++    // TODO enable tests once https://github.com/apache/datafusion-comet/issues/2209 is fixed
++    with IgnoreCometSuite {
+   def parseJson(s: String): VariantVal = {
+     val v = VariantBuilder.parseJson(s, false)
+     new VariantVal(v.getValue, v.getMetadata)
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/collation/CollationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/collation/CollationSuite.scala
+index b446b29f7c6..7c25f7578a7 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/collation/CollationSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/collation/CollationSuite.scala
+@@ -26,6 +26,8 @@ import org.apache.spark.sql.{AnalysisException, Row}
+ import org.apache.spark.sql.catalyst.ExtendedAnalysisException
+ import org.apache.spark.sql.catalyst.expressions._
+ import org.apache.spark.sql.catalyst.util.CollationFactory
++import org.apache.spark.sql.comet.{CometBroadcastHashJoinExec, CometHashJoinExec, CometSortMergeJoinExec}
++import org.apache.spark.sql.comet.CometHashAggregateExec
+ import org.apache.spark.sql.connector.{DatasourceV2SQLBase, FakeV2ProviderWithCustomSchema}
+ import org.apache.spark.sql.connector.catalog.{CatalogV2Util, Identifier, InMemoryTable}
+ import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
+@@ -57,7 +59,9 @@ class CollationSuite extends DatasourceV2SQLBase with AdaptiveSparkPlanHelper {
+     assert(
+       collectFirst(queryPlan) {
+         case _: SortMergeJoinExec => assert(isSortMergeForced)
++        case _: CometSortMergeJoinExec => assert(isSortMergeForced)
+         case _: HashJoin => assert(!isSortMergeForced)
++        case _: CometHashJoinExec | _: CometBroadcastHashJoinExec => assert(!isSortMergeForced)
+       }.nonEmpty
+     )
+   }
+@@ -465,6 +469,7 @@ class CollationSuite extends DatasourceV2SQLBase with AdaptiveSparkPlanHelper {
+         val dfBinary = sql(s"SELECT COUNT(*), c FROM $tableNameBinary GROUP BY c")
+         assert(collectFirst(dfBinary.queryExecution.executedPlan) {
+           case _: HashAggregateExec | _: ObjectHashAggregateExec => ()
++          case _: CometHashAggregateExec => ()
+         }.nonEmpty)
+       }
+     }
+@@ -1603,10 +1608,14 @@ class CollationSuite extends DatasourceV2SQLBase with AdaptiveSparkPlanHelper {
+             if (!CollationFactory.fetchCollation(t.collation).supportsBinaryEquality) {
+               assert(collectFirst(queryPlan) {
+                 case b: HashJoin => b.leftKeys.head
++                case ch: CometHashJoinExec => ch.leftKeys.head
++                case cbh: CometBroadcastHashJoinExec => cbh.leftKeys.head
+               }.head.isInstanceOf[CollationKey])
+             } else {
+               assert(!collectFirst(queryPlan) {
+                 case b: HashJoin => b.leftKeys.head
++                case ch: CometHashJoinExec => ch.leftKeys.head
++                case cbh: CometBroadcastHashJoinExec => cbh.leftKeys.head
+               }.head.isInstanceOf[CollationKey])
+             }
+           }
+@@ -1662,11 +1671,13 @@ class CollationSuite extends DatasourceV2SQLBase with AdaptiveSparkPlanHelper {
+             if (!CollationFactory.fetchCollation(t.collation).supportsBinaryEquality) {
+               assert(collectFirst(queryPlan) {
+                 case b: BroadcastHashJoinExec => b.leftKeys.head
++                case b: CometBroadcastHashJoinExec => b.leftKeys.head
+               }.head.asInstanceOf[ArrayTransform].function.asInstanceOf[LambdaFunction].
+                 function.isInstanceOf[CollationKey])
+             } else {
+               assert(!collectFirst(queryPlan) {
+                 case b: BroadcastHashJoinExec => b.leftKeys.head
++                case b: CometBroadcastHashJoinExec => b.leftKeys.head
+               }.head.isInstanceOf[ArrayTransform])
+             }
+           }
+@@ -1732,6 +1743,7 @@ class CollationSuite extends DatasourceV2SQLBase with AdaptiveSparkPlanHelper {
+             } else {
+               assert(!collectFirst(queryPlan) {
+                 case b: BroadcastHashJoinExec => b.leftKeys.head
++                case b: CometBroadcastHashJoinExec => b.leftKeys.head
+               }.head.isInstanceOf[ArrayTransform])
+             }
+           }
+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 a09b7e0827c..ffc29f764bc 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
+@@ -29,6 +29,7 @@ import org.apache.spark.SparkUnsupportedOperationException
+ import org.apache.spark.sql.{AnalysisException, DataFrame, QueryTest, Row}
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions.ScalarSubquery
++import org.apache.spark.sql.comet.CometSortExec
+ import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, Project}
+ import org.apache.spark.sql.connector.catalog.{PartitionInternalRow, SupportsRead, Table, TableCapability, TableProvider}
+ import org.apache.spark.sql.connector.catalog.TableCapability._
+@@ -41,7 +42,7 @@ 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, V2ScanPartitioningAndOrdering}
+ import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Implicits._
+-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._
+@@ -283,13 +284,13 @@ 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)
+         }
+       }
+@@ -349,10 +350,11 @@ 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)
+               }
+ 
+@@ -367,10 +369,11 @@ 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 2a0ab21ddb0..6030e7c2b9b 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, SparkException}
+ import org.apache.spark.sql.QueryTest
+ import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
++import org.apache.spark.sql.comet.{CometNativeScanExec, 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}
+@@ -188,7 +189,11 @@ 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 | _: CometNativeScanExec => 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 44cb3a23cfa..bcb0cdaf1d5 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
+@@ -24,6 +24,8 @@ import org.apache.spark.sql.{DataFrame, ExplainSuiteHelper, Row}
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions.{Ascending, AttributeReference, Literal, TransformExpression}
+ import org.apache.spark.sql.catalyst.plans.physical
++import org.apache.spark.sql.comet.CometSortMergeJoinExec
++import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
+ import org.apache.spark.sql.connector.catalog.{Column, Identifier, InMemoryTableCatalog}
+ import org.apache.spark.sql.connector.catalog.functions._
+ import org.apache.spark.sql.connector.distributions.Distributions
+@@ -323,6 +325,7 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase with
+   protected def collectAllShuffles(plan: SparkPlan): Seq[ShuffleExchangeLike] = {
+     collect(plan) {
+       case s: ShuffleExchangeExec => s
++      case c: CometShuffleExchangeExec => c
+     }
+   }
+ 
+@@ -336,9 +339,10 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase with
+     // 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
+       })
+   }.toSet.toSeq
+ 
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
+index ec1b34b8c21..ff4f2a70041 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
+@@ -21,7 +21,7 @@ package org.apache.spark.sql.connector
+ import java.sql.Date
+ import java.util.Collections
+ 
+-import org.apache.spark.sql.{catalyst, AnalysisException, DataFrame, Row}
++import org.apache.spark.sql.{catalyst, AnalysisException, DataFrame, IgnoreCometSuite, Row}
+ import org.apache.spark.sql.catalyst.expressions.{ApplyFunctionExpression, Cast, Literal, TransformExpression}
+ import org.apache.spark.sql.catalyst.expressions.objects.Invoke
+ import org.apache.spark.sql.catalyst.plans.physical
+@@ -46,7 +46,8 @@ import org.apache.spark.sql.util.QueryExecutionListener
+ import org.apache.spark.tags.SlowSQLTest
+ 
+ @SlowSQLTest
+-class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase {
++class WriteDistributionAndOrderingSuite extends DistributionAndOrderingSuiteBase
++  with IgnoreCometSuite {
+   import testImplicits._
+ 
+   before {
+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 125e38dccfd..7a039c02074 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
+@@ -31,7 +31,7 @@ import org.mockito.Mockito.{mock, spy, when}
+ import org.scalatest.time.SpanSugar._
+ 
+ import org.apache.spark._
+-import org.apache.spark.sql.{AnalysisException, DataFrame, Dataset, Encoder, KryoData, QueryTest, Row, SaveMode}
++import org.apache.spark.sql.{AnalysisException, DataFrame, Dataset, Encoder, IgnoreComet, KryoData, QueryTest, Row, SaveMode}
+ import org.apache.spark.sql.catalyst.FunctionIdentifier
+ import org.apache.spark.sql.catalyst.analysis.{NamedParameter, UnresolvedGenerator}
+ import org.apache.spark.sql.catalyst.encoders.{ExpressionEncoder, RowEncoder}
+@@ -267,7 +267,8 @@ 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/InsertSortForLimitAndOffsetSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/InsertSortForLimitAndOffsetSuite.scala
+index d1b11a74cf3..75e4600863a 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/InsertSortForLimitAndOffsetSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/InsertSortForLimitAndOffsetSuite.scala
+@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution
+ 
+ import org.apache.spark.sql.{Dataset, QueryTest}
+ import org.apache.spark.sql.IntegratedUDFTestUtils._
++import org.apache.spark.sql.comet.{CometCollectLimitExec, CometGlobalLimitExec, CometProjectExec, CometSortExec}
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+ import org.apache.spark.sql.functions.rand
+ import org.apache.spark.sql.internal.SQLConf
+@@ -39,7 +40,7 @@ class InsertSortForLimitAndOffsetSuite extends QueryTest
+ 
+   private def assertHasCollectLimitExec(plan: SparkPlan): Unit = {
+     assert(find(plan) {
+-      case _: CollectLimitExec => true
++      case _: CollectLimitExec | _: CometCollectLimitExec => true
+       case _ => false
+     }.isDefined)
+   }
+@@ -47,6 +48,7 @@ class InsertSortForLimitAndOffsetSuite extends QueryTest
+   private def assertHasGlobalLimitExec(plan: SparkPlan): Unit = {
+     assert(find(plan) {
+       case _: GlobalLimitExec => true
++      case _: CometGlobalLimitExec => true
+       case _ => false
+     }.isDefined)
+   }
+@@ -55,6 +57,11 @@ class InsertSortForLimitAndOffsetSuite extends QueryTest
+     find(plan) {
+       case GlobalLimitExec(_, s: SortExec, _) => !s.global
+       case GlobalLimitExec(_, ProjectExec(_, s: SortExec), _) => !s.global
++      case CometGlobalLimitExec(_, _, _, _, s: CometSortExec, _) =>
++        !s.originalPlan.asInstanceOf[SortExec].global
++      case CometGlobalLimitExec(_, _, _, _,
++        CometProjectExec(_, _, _, _, s: CometSortExec, _), _) =>
++        !s.originalPlan.asInstanceOf[SortExec].global
+       case _ => false
+     }.isDefined
+   }
+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 b926cc192bd..77510ccdb09 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
+@@ -19,7 +19,7 @@ package org.apache.spark.sql.execution
+ 
+ import org.apache.spark.SparkUnsupportedOperationException
+ 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.AnalysisException
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions._
+@@ -37,7 +37,9 @@ 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/QueryExecutionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/QueryExecutionSuite.scala
+index 877e6970368..fb0de1439a0 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/QueryExecutionSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/QueryExecutionSuite.scala
+@@ -22,7 +22,7 @@ import scala.io.Source
+ import scala.util.Try
+ 
+ import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent, SparkListenerJobStart}
+-import org.apache.spark.sql.{AnalysisException, ExtendedExplainGenerator, FastOperator, SaveMode}
++import org.apache.spark.sql.{AnalysisException, ExtendedExplainGenerator, FastOperator, IgnoreComet, SaveMode}
+ import org.apache.spark.sql.catalyst.{QueryPlanningTracker, QueryPlanningTrackerCallback, TableIdentifier}
+ import org.apache.spark.sql.catalyst.analysis.{CurrentNamespace, UnresolvedFunction, UnresolvedRelation}
+ import org.apache.spark.sql.catalyst.expressions.{Alias, UnsafeRow}
+@@ -458,7 +458,7 @@ class QueryExecutionSuite extends SharedSparkSession {
+     }
+   }
+ 
+-  test("SPARK-47289: extended explain info") {
++  test("SPARK-47289: extended explain info", IgnoreComet("Comet plan extended info is different")) {
+     val concat = new PlanStringConcat()
+     withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+       SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+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 b5bac8079c4..873d7d95843 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
+@@ -17,7 +17,10 @@
+ 
+ package org.apache.spark.sql.execution
+ 
++import org.apache.comet.CometConf
++
+ 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 +37,10 @@ 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)
+     }
+   }
+@@ -134,12 +140,25 @@ abstract class RemoveRedundantProjectsSuiteBase
+       val df = data.selectExpr("a", "b", "key", "explode(array(key, a, b)) as d").filter("d > 0")
+       df.collect()
+       val plan = df.queryExecution.executedPlan
+-      val numProjects = collectWithSubqueries(plan) { case p: ProjectExec => p }.length
++      val numProjects = collectWithSubqueries(plan) {
++        case p: ProjectExec => p
++        case p: CometProjectExec => p
++      }.length
+ 
+       // Create a new plan that reverse the GenerateExec output and add a new ProjectExec between
+       // GenerateExec and its child. This is to test if the ProjectExec is removed, the output of
+       // the query will be incorrect.
+-      val newPlan = stripAQEPlan(plan) transform {
++
++      // Comet-specific change to get original Spark plan before applying
++      // a transformation to add a new ProjectExec
++      var sparkPlan: SparkPlan = null
++      withSQLConf(CometConf.COMET_EXEC_ENABLED.key -> "false") {
++        val df = data.selectExpr("a", "b", "key", "explode(array(key, a, b)) as d").filter("d > 0")
++        df.collect()
++        sparkPlan = df.queryExecution.executedPlan
++      }
++
++      val newPlan = stripAQEPlan(sparkPlan) transform {
+         case g @ GenerateExec(_, requiredChildOutput, _, _, child) =>
+           g.copy(requiredChildOutput = requiredChildOutput.reverse,
+             child = ProjectExec(requiredChildOutput.reverse, child))
+@@ -151,6 +170,7 @@ abstract class RemoveRedundantProjectsSuiteBase
+       // The manually added ProjectExec node shouldn't be removed.
+       assert(collectWithSubqueries(newExecutedPlan) {
+         case p: ProjectExec => p
++        case p: CometProjectExec => p
+       }.size == numProjects + 1)
+ 
+       // Check the original plan's output and the new plan's output are the same.
+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 005e764cc30..92ec088efab 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/SQLViewSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
+index 27743a7b9c2..14ef470436f 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
+@@ -1071,7 +1071,8 @@ abstract class SQLViewSuite extends QueryTest with SQLTestUtils {
+     }
+   }
+ 
+-  test("alter temporary view should follow current storeAnalyzedPlanForView config") {
++  test("alter temporary view should follow current storeAnalyzedPlanForView config",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3314")) {
+     withTable("t") {
+       Seq(2, 3, 1).toDF("c1").write.format("parquet").saveAsTable("t")
+       withView("v1") {
+@@ -1351,7 +1352,8 @@ abstract class SQLViewSuite extends QueryTest with SQLTestUtils {
+     }
+   }
+ 
+-  test("SPARK-53968 reading the view after allowPrecisionLoss is changed") {
++  test("SPARK-53968 reading the view after allowPrecisionLoss is changed",
++    IgnoreComet("TODO: https://github.com/apache/datafusion-comet/issues/4124")) {
+     import org.apache.spark.sql.internal.SQLConf
+     val partsTableName = "parts_tbl"
+     val ordersTableName = "orders_tbl"
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala
+index aed11badb71..1a365b5aacf 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/SparkPlanSuite.scala
+@@ -23,6 +23,7 @@ import org.apache.spark.sql.QueryTest
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions.{Attribute, AttributeReference}
+ import org.apache.spark.sql.catalyst.plans.logical.Deduplicate
++import org.apache.spark.sql.comet.{CometColumnarToRowExec, CometNativeColumnarToRowExec}
+ import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
+ import org.apache.spark.sql.internal.SQLConf
+ import org.apache.spark.sql.test.SharedSparkSession
+@@ -134,7 +135,11 @@ class SparkPlanSuite extends QueryTest with SharedSparkSession {
+         spark.range(1).write.parquet(path.getAbsolutePath)
+         val df = spark.read.parquet(path.getAbsolutePath)
+         val columnarToRowExec =
+-          df.queryExecution.executedPlan.collectFirst { case p: ColumnarToRowExec => p }.get
++          df.queryExecution.executedPlan.collectFirst {
++            case p: ColumnarToRowExec => p
++            case p: CometColumnarToRowExec => p
++            case p: CometNativeColumnarToRowExec => p
++          }.get
+         try {
+           spark.range(1).foreach { _ =>
+             columnarToRowExec.canonicalized
+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 652f38183bc..b26e776709b 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
+@@ -21,9 +21,10 @@ import java.time.Duration
+ 
+ import org.apache.spark.SparkException
+ import org.apache.spark.rdd.MapPartitionsWithEvaluatorRDD
+-import org.apache.spark.sql.{Dataset, QueryTest, Row, SaveMode}
++import org.apache.spark.sql.{Dataset, IgnoreCometSuite, QueryTest, Row, SaveMode}
+ import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode
+ import org.apache.spark.sql.catalyst.expressions.codegen.{ByteCodeStats, CodeAndComment, CodeGenerator}
++import org.apache.spark.sql.comet.{CometColumnarToRowExec, CometHashJoinExec, CometSortExec, 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
+@@ -36,7 +37,7 @@ import org.apache.spark.sql.types.{DayTimeIntervalType, IntegerType, StringType,
+ 
+ // Disable AQE because the WholeStageCodegenExec is added when running QueryStageExec
+ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+-  with DisableAdaptiveExecutionSuite {
++  with DisableAdaptiveExecutionSuite with IgnoreCometSuite {
+ 
+   import testImplicits._
+ 
+@@ -175,6 +176,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val oneJoinDF = df1.join(df2.hint("SHUFFLE_HASH"), $"k1" === $"k2")
+     assert(oneJoinDF.queryExecution.executedPlan.collect {
+       case WholeStageCodegenExec(_ : ShuffledHashJoinExec) => true
++      case _: CometHashJoinExec => true
+     }.size === 1)
+     checkAnswer(oneJoinDF, Seq(Row(0, 0), Row(1, 1), Row(2, 2), Row(3, 3), Row(4, 4)))
+ 
+@@ -183,6 +185,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+       .join(df3.hint("SHUFFLE_HASH"), $"k1" === $"k3")
+     assert(twoJoinsDF.queryExecution.executedPlan.collect {
+       case WholeStageCodegenExec(_ : ShuffledHashJoinExec) => true
++      case _: CometHashJoinExec => true
+     }.size === 2)
+     checkAnswer(twoJoinsDF,
+       Seq(Row(0, 0, 0), Row(1, 1, 1), Row(2, 2, 2), Row(3, 3, 3), Row(4, 4, 4)))
+@@ -209,6 +212,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+       assert(joinUniqueDF.queryExecution.executedPlan.collect {
+         case WholeStageCodegenExec(_ : ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+         case WholeStageCodegenExec(_ : SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++        case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++        case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+       }.size === 1)
+       checkAnswer(joinUniqueDF, Seq(Row(0, 0), Row(1, 1), Row(2, 2), Row(3, 3), Row(4, 4),
+         Row(null, 5), Row(null, 6), Row(null, 7), Row(null, 8), Row(null, 9)))
+@@ -219,6 +224,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+       assert(joinNonUniqueDF.queryExecution.executedPlan.collect {
+         case WholeStageCodegenExec(_ : ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+         case WholeStageCodegenExec(_ : SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++        case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++        case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+       }.size === 1)
+       checkAnswer(joinNonUniqueDF, Seq(Row(0, 0), Row(0, 3), Row(0, 6), Row(0, 9), Row(1, 1),
+         Row(1, 4), Row(1, 7), Row(2, 2), Row(2, 5), Row(2, 8), Row(3, null), Row(4, null)))
+@@ -229,6 +236,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+       assert(joinWithNonEquiDF.queryExecution.executedPlan.collect {
+         case WholeStageCodegenExec(_ : ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+         case WholeStageCodegenExec(_ : SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++        case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++        case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+       }.size === 1)
+       checkAnswer(joinWithNonEquiDF, Seq(Row(0, 0), Row(0, 6), Row(0, 9), Row(1, 1),
+         Row(1, 7), Row(2, 2), Row(2, 8), Row(3, null), Row(4, null), Row(null, 3), Row(null, 4),
+@@ -240,6 +249,8 @@ 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 _: CometHashJoinExec if hint == "SHUFFLE_HASH" => 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),
+@@ -261,6 +272,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(rightJoinUniqueDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 1)
+         checkAnswer(rightJoinUniqueDf, Seq(Row(1, 1), Row(2, 2), Row(3, 3), Row(4, 4),
+           Row(null, 5), Row(null, 6), Row(null, 7), Row(null, 8), Row(null, 9),
+@@ -272,6 +285,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(leftJoinUniqueDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 1)
+         checkAnswer(leftJoinUniqueDf, Seq(Row(0, null), Row(1, 1), Row(2, 2), Row(3, 3), Row(4, 4)))
+         assert(leftJoinUniqueDf.count() === 5)
+@@ -281,6 +296,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(rightJoinNonUniqueDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 1)
+         checkAnswer(rightJoinNonUniqueDf, Seq(Row(0, 3), Row(0, 6), Row(0, 9), Row(1, 1),
+           Row(1, 4), Row(1, 7), Row(1, 10), Row(2, 2), Row(2, 5), Row(2, 8)))
+@@ -290,6 +307,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(leftJoinNonUniqueDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 1)
+         checkAnswer(leftJoinNonUniqueDf, Seq(Row(0, 3), Row(0, 6), Row(0, 9), Row(1, 1),
+           Row(1, 4), Row(1, 7), Row(1, 10), Row(2, 2), Row(2, 5), Row(2, 8), Row(3, null),
+@@ -301,6 +320,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(rightJoinWithNonEquiDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 1)
+         checkAnswer(rightJoinWithNonEquiDf, Seq(Row(0, 6), Row(0, 9), Row(1, 1), Row(1, 7),
+           Row(1, 10), Row(2, 2), Row(2, 8), Row(null, 3), Row(null, 4), Row(null, 5)))
+@@ -311,6 +332,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(leftJoinWithNonEquiDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 1)
+         checkAnswer(leftJoinWithNonEquiDf, Seq(Row(0, 6), Row(0, 9), Row(1, 1), Row(1, 7),
+           Row(1, 10), Row(2, 2), Row(2, 8), Row(3, null), Row(4, null)))
+@@ -321,6 +344,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(twoRightJoinsDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 2)
+         checkAnswer(twoRightJoinsDf, Seq(Row(2, 2, 2), Row(3, 3, 3), Row(4, 4, 4)))
+ 
+@@ -330,6 +355,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+         assert(twoLeftJoinsDf.queryExecution.executedPlan.collect {
+           case WholeStageCodegenExec(_: ShuffledHashJoinExec) if hint == "SHUFFLE_HASH" => true
+           case WholeStageCodegenExec(_: SortMergeJoinExec) if hint == "SHUFFLE_MERGE" => true
++          case _: CometHashJoinExec if hint == "SHUFFLE_HASH" => true
++          case _: CometSortMergeJoinExec if hint == "SHUFFLE_MERGE" => true
+         }.size === 2)
+         checkAnswer(twoLeftJoinsDf,
+           Seq(Row(0, null, null), Row(1, 1, null), Row(2, 2, 2), Row(3, 3, 3), Row(4, 4, 4)))
+@@ -346,6 +373,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val oneLeftOuterJoinDF = df1.join(df2.hint("SHUFFLE_MERGE"), $"k1" === $"k2", "left_outer")
+     assert(oneLeftOuterJoinDF.queryExecution.executedPlan.collect {
+       case WholeStageCodegenExec(_ : SortMergeJoinExec) => true
++      case _: CometSortMergeJoinExec => true
+     }.size === 1)
+     checkAnswer(oneLeftOuterJoinDF, Seq(Row(0, 0), Row(1, 1), Row(2, 2), Row(3, 3), Row(4, null),
+       Row(5, null), Row(6, null), Row(7, null), Row(8, null), Row(9, null)))
+@@ -354,6 +382,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val oneRightOuterJoinDF = df2.join(df3.hint("SHUFFLE_MERGE"), $"k2" === $"k3", "right_outer")
+     assert(oneRightOuterJoinDF.queryExecution.executedPlan.collect {
+       case WholeStageCodegenExec(_ : SortMergeJoinExec) => true
++      case _: CometSortMergeJoinExec => true
+     }.size === 1)
+     checkAnswer(oneRightOuterJoinDF, Seq(Row(0, 0), Row(1, 1), Row(2, 2), Row(3, 3), Row(null, 4),
+       Row(null, 5)))
+@@ -363,6 +392,7 @@ 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),
+@@ -378,6 +408,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val oneJoinDF = df1.join(df2.hint("SHUFFLE_MERGE"), $"k1" === $"k2", "left_semi")
+     assert(oneJoinDF.queryExecution.executedPlan.collect {
+       case WholeStageCodegenExec(ProjectExec(_, _ : SortMergeJoinExec)) => true
++      case _: CometSortMergeJoinExec => true
+     }.size === 1)
+     checkAnswer(oneJoinDF, Seq(Row(0), Row(1), Row(2), Row(3)))
+ 
+@@ -385,8 +416,8 @@ 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
++      case _: CometSortMergeJoinExec => true
+     }.size === 2)
+     checkAnswer(twoJoinsDF, Seq(Row(0), Row(1), Row(2), Row(3)))
+   }
+@@ -400,6 +431,7 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val oneJoinDF = df1.join(df2.hint("SHUFFLE_MERGE"), $"k1" === $"k2", "left_anti")
+     assert(oneJoinDF.queryExecution.executedPlan.collect {
+       case WholeStageCodegenExec(ProjectExec(_, _ : SortMergeJoinExec)) => true
++      case _: CometSortMergeJoinExec => true
+     }.size === 1)
+     checkAnswer(oneJoinDF, Seq(Row(4), Row(5), Row(6), Row(7), Row(8), Row(9)))
+ 
+@@ -407,8 +439,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val twoJoinsDF = df1.join(df2.hint("SHUFFLE_MERGE"), $"k1" === $"k2", "left_anti")
+       .join(df3.hint("SHUFFLE_MERGE"), $"k1" === $"k3", "left_anti")
+     assert(twoJoinsDF.queryExecution.executedPlan.collect {
+-      case WholeStageCodegenExec(ProjectExec(_, _ : SortMergeJoinExec)) |
+-           WholeStageCodegenExec(_ : SortMergeJoinExec) => true
++      case _: SortMergeJoinExec => true
++      case _: CometSortMergeJoinExec => true
+     }.size === 2)
+     checkAnswer(twoJoinsDF, Seq(Row(6), Row(7), Row(8), Row(9)))
+   }
+@@ -541,7 +573,10 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+     val plan = df.queryExecution.executedPlan
+     assert(plan.exists(p =>
+       p.isInstanceOf[WholeStageCodegenExec] &&
+-        p.asInstanceOf[WholeStageCodegenExec].child.isInstanceOf[SortExec]))
++        p.asInstanceOf[WholeStageCodegenExec].collect {
++          case _: SortExec => true
++          case _: CometSortExec => true
++        }.nonEmpty))
+     assert(df.collect() === Array(Row(1), Row(2), Row(3)))
+   }
+ 
+@@ -721,7 +756,9 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+           .write.mode(SaveMode.Overwrite).parquet(path)
+ 
+         withSQLConf(SQLConf.WHOLESTAGE_MAX_NUM_FIELDS.key -> "255",
+-            SQLConf.WHOLESTAGE_SPLIT_CONSUME_FUNC_BY_OPERATOR.key -> "true") {
++            SQLConf.WHOLESTAGE_SPLIT_CONSUME_FUNC_BY_OPERATOR.key -> "true",
++            // Disable Comet native execution because this checks wholestage codegen.
++            "spark.comet.exec.enabled" -> "false") {
+           val projection = Seq.tabulate(columnNum)(i => s"c$i + c$i as newC$i")
+           val df = spark.read.parquet(path).selectExpr(projection: _*)
+ 
+@@ -818,6 +855,8 @@ class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
+       assert(distinctWithId.queryExecution.executedPlan.exists {
+         case WholeStageCodegenExec(ProjectExec(_,
+           BroadcastHashJoinExec(_, _, _, _, _, _: HashAggregateExec, _, _, _))) => true
++        case WholeStageCodegenExec(ProjectExec(_,
++          BroadcastHashJoinExec(_, _, _, _, _, _: CometColumnarToRowExec, _, _, _))) => true
+         case _ => false
+       })
+       checkAnswer(distinctWithId, Seq(Row(1, 0), Row(1, 0)))
+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 a3e6e65d502..98b04b86ec1 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
+@@ -27,12 +27,14 @@ import org.apache.spark.SparkException
+ import org.apache.spark.rdd.RDD
+ import org.apache.spark.scheduler.{SparkListener, SparkListenerEvent, SparkListenerJobStart}
+ import org.apache.spark.shuffle.sort.SortShuffleManager
+-import org.apache.spark.sql.{DataFrame, Dataset, QueryTest, Row, SparkSession}
++import org.apache.spark.sql.{DataFrame, Dataset, IgnoreComet, QueryTest, Row, SparkSession}
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions.Attribute
+ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight}
+ import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan}
+ import org.apache.spark.sql.classic.Strategy
++import org.apache.spark.sql.comet._
++import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
+ import org.apache.spark.sql.execution._
+ import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
+ import org.apache.spark.sql.execution.columnar.{InMemoryTableScanExec, InMemoryTableScanLike}
+@@ -121,6 +123,7 @@ class AdaptiveQueryExecSuite
+   private def findTopLevelBroadcastHashJoin(plan: SparkPlan): Seq[BroadcastHashJoinExec] = {
+     collect(plan) {
+       case j: BroadcastHashJoinExec => j
++      case j: CometBroadcastHashJoinExec => j.originalPlan.asInstanceOf[BroadcastHashJoinExec]
+     }
+   }
+ 
+@@ -133,36 +136,46 @@ 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]
++      case c: CometBroadcastHashJoinExec => 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]
+     }
+   }
+ 
+   private def findTopLevelLimit(plan: SparkPlan): Seq[CollectLimitExec] = {
+     collect(plan) {
+       case l: CollectLimitExec => l
++      case l: CometCollectLimitExec => l.originalPlan.asInstanceOf[CollectLimitExec]
+     }
+   }
+ 
+@@ -206,6 +219,7 @@ class AdaptiveQueryExecSuite
+       val parts = rdd.partitions
+       assert(parts.forall(rdd.preferredLocations(_).nonEmpty))
+     }
++
+     assert(numShuffles === (numLocalReads.length + numShufflesWithoutLocalRead))
+   }
+ 
+@@ -214,7 +228,7 @@ 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)
+@@ -230,7 +244,8 @@ class AdaptiveQueryExecSuite
+       assert(smj.size == 1)
+       val bhj = findTopLevelBroadcastHashJoin(adaptivePlan)
+       assert(bhj.size == 1)
+-      checkNumLocalShuffleReads(adaptivePlan)
++      // Comet shuffle changes shuffle metrics
++      // checkNumLocalShuffleReads(adaptivePlan)
+     }
+   }
+ 
+@@ -257,7 +272,8 @@ 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",
+@@ -289,7 +305,8 @@ 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",
+@@ -303,7 +320,8 @@ 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
+@@ -328,7 +346,9 @@ class AdaptiveQueryExecSuite
+           .groupBy($"a").count()
+         checkAnswer(testDf, Seq())
+         val plan = testDf.queryExecution.executedPlan
+-        assert(find(plan)(_.isInstanceOf[SortMergeJoinExec]).isDefined)
++        assert(find(plan) { case p =>
++          p.isInstanceOf[SortMergeJoinExec] || p.isInstanceOf[CometSortMergeJoinExec]
++        }.isDefined)
+         val coalescedReads = collect(plan) {
+           case r: AQEShuffleReadExec => r
+         }
+@@ -342,7 +362,9 @@ class AdaptiveQueryExecSuite
+           .groupBy($"a").count()
+         checkAnswer(testDf, Seq())
+         val plan = testDf.queryExecution.executedPlan
+-        assert(find(plan)(_.isInstanceOf[BroadcastHashJoinExec]).isDefined)
++        assert(find(plan) { case p =>
++          p.isInstanceOf[BroadcastHashJoinExec] || p.isInstanceOf[CometBroadcastHashJoinExec]
++        }.isDefined)
+         val coalescedReads = collect(plan) {
+           case r: AQEShuffleReadExec => r
+         }
+@@ -352,7 +374,7 @@ 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") {
+@@ -367,7 +389,7 @@ 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") {
+@@ -383,7 +405,7 @@ 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") {
+@@ -428,7 +450,7 @@ 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") {
+@@ -473,7 +495,7 @@ 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") {
+@@ -519,7 +541,7 @@ class AdaptiveQueryExecSuite
+     }
+   }
+ 
+-  test("Exchange reuse") {
++  test("Exchange reuse", IgnoreComet("Comet shuffle changes shuffle metrics")) {
+     withSQLConf(
+         SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true",
+         SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "80") {
+@@ -538,7 +560,7 @@ 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") {
+@@ -569,7 +591,9 @@ 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)
+@@ -590,7 +614,9 @@ 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)
+@@ -599,7 +625,8 @@ 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",
+@@ -694,7 +721,8 @@ 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)
+     }
+   }
+ 
+@@ -822,7 +850,8 @@ 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)
+@@ -1257,7 +1286,8 @@ 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")
+@@ -1891,7 +1921,7 @@ 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)
+       }
+     }
+@@ -1972,7 +2002,8 @@ 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 =>
+@@ -2159,6 +2190,9 @@ 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
+@@ -2167,6 +2201,9 @@ 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)
+     }
+@@ -2331,7 +2368,8 @@ 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 =>
+@@ -2417,7 +2455,8 @@ 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",
+@@ -2516,7 +2555,7 @@ 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
+@@ -2529,7 +2568,7 @@ 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)
+@@ -2563,7 +2602,8 @@ 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] {
+@@ -2734,6 +2774,7 @@ 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
+@@ -2751,7 +2792,8 @@ 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",
+@@ -2863,7 +2905,7 @@ 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)
+@@ -2874,7 +2916,7 @@ 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)
+@@ -3132,6 +3174,7 @@ class AdaptiveQueryExecSuite
+         }.size == (if (firstAccess) 1 else 0))
+         assert(collect(initialExecutedPlan) {
+           case s: SortExec => s
++          case s: CometSortExec => s.originalPlan.asInstanceOf[SortExec]
+         }.size == (if (firstAccess) 2 else 0))
+         assert(collect(initialExecutedPlan) {
+           case i: InMemoryTableScanLike => i
+@@ -3144,6 +3187,7 @@ class AdaptiveQueryExecSuite
+         }.isEmpty)
+         assert(collect(finalExecutedPlan) {
+           case s: SortExec => s
++          case s: CometSortExec => s.originalPlan.asInstanceOf[SortExec]
+         }.isEmpty)
+         assert(collect(initialExecutedPlan) {
+           case i: InMemoryTableScanLike => i
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/CachedBatchSerializerSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/CachedBatchSerializerSuite.scala
+index 47b935a2880..15010242a3b 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/CachedBatchSerializerSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/columnar/CachedBatchSerializerSuite.scala
+@@ -22,6 +22,7 @@ import scala.jdk.CollectionConverters._
+ import org.apache.spark.SparkConf
+ import org.apache.spark.rdd.RDD
+ import org.apache.spark.sql.{QueryTest, Row}
++import org.apache.spark.sql.IgnoreComet
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions.{Attribute, Expression, UnsafeProjection}
+ import org.apache.spark.sql.columnar.{CachedBatch, CachedBatchSerializer}
+@@ -212,7 +213,8 @@ class CachedBatchSerializerNoUnwrapSuite extends QueryTest
+       classOf[DefaultCachedBatchSerializerNoUnwrap].getName)
+   }
+ 
+-  test("Do not unwrap ColumnarToRowExec") {
++  test("Do not unwrap ColumnarToRowExec",
++      IgnoreComet("https://github.com/apache/datafusion-comet/issues/4137")) {
+     withTempPath { workDir =>
+       val workDirPath = workDir.getAbsolutePath
+       val input = Seq(100, 200).toDF("count")
+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 269990d7d14..140ee4112b1 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
+@@ -28,6 +28,7 @@ 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.catalyst.types.DataTypeUtils
++import org.apache.spark.sql.comet.{CometNativeScanExec, CometScanExec}
+ import org.apache.spark.sql.execution.FileSourceScanExec
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+ import org.apache.spark.sql.functions._
+@@ -884,6 +885,8 @@ abstract class SchemaPruningSuite
+     val fileSourceScanSchemata =
+       collect(df.queryExecution.executedPlan) {
+         case scan: FileSourceScanExec => scan.requiredSchema
++        case scan: CometScanExec => scan.requiredSchema
++        case scan: CometNativeScanExec => 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 a46afcef3cd..93239aede6c 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
+@@ -17,9 +17,10 @@
+ 
+ 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.comet.CometSortExec
+ import org.apache.spark.sql.execution.{QueryExecution, SortExec}
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+@@ -244,6 +245,7 @@ class V1WriteCommandSuite extends QueryTest with SharedSparkSession with V1Write
+           // assert the outer most sort in the executed plan
+           assert(plan.collectFirst {
+             case s: SortExec => s
++            case s: CometSortExec => s.originalPlan.asInstanceOf[SortExec]
+           }.exists {
+             case SortExec(Seq(
+               SortOrder(AttributeReference("key", IntegerType, _, _), Ascending, NullsFirst, _),
+@@ -291,6 +293,7 @@ class V1WriteCommandSuite extends QueryTest with SharedSparkSession with V1Write
+         // assert the outer most sort in the executed plan
+         assert(plan.collectFirst {
+           case s: SortExec => s
++          case s: CometSortExec => s.originalPlan.asInstanceOf[SortExec]
+         }.exists {
+           case SortExec(Seq(
+             SortOrder(AttributeReference("value", StringType, _, _), Ascending, NullsFirst, _),
+@@ -324,7 +327,8 @@ 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 7d2166beb2d..1ca5bc0d729 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, SparkUnsupportedOperationException}
+-import org.apache.spark.sql.{DataFrame, QueryTest, Row}
++import org.apache.spark.sql.{DataFrame, IgnoreCometSuite, QueryTest, Row}
+ import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
+ 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 cd6f41b4ef4..4b6a17344bc 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 6b73cc8618d..624694916fb 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
+@@ -38,6 +38,7 @@ import org.apache.parquet.schema.MessageType
+ 
+ import org.apache.spark.{SparkConf, SparkException, SparkRuntimeException}
+ import org.apache.spark.sql._
++import org.apache.spark.sql.IgnoreCometNativeScan
+ import org.apache.spark.sql.catalyst.dsl.expressions._
+ import org.apache.spark.sql.catalyst.expressions._
+ import org.apache.spark.sql.catalyst.optimizer.InferFiltersFromConstraints
+@@ -1102,7 +1103,11 @@ 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)
++          }
+         }
+       }
+     }
+@@ -1505,7 +1510,8 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
+     }
+   }
+ 
+-  test("Filters should be pushed down for vectorized Parquet reader at row group level") {
++  test("Filters should be pushed down for vectorized Parquet reader at row group level",
++    IgnoreCometNativeScan("Native scans do not support the tested accumulator")) {
+     import testImplicits._
+ 
+     withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_ENABLED.key -> "true",
+@@ -1587,7 +1593,11 @@ 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)
++          }
+         }
+       }
+     }
+@@ -1614,7 +1624,11 @@ 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)
++        }
+       }
+     }
+   }
+@@ -1706,7 +1720,7 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
+       (attr, value) => sources.StringContains(attr, value))
+   }
+ 
+-  test("filter pushdown - StringPredicate") {
++  test("filter pushdown - StringPredicate", IgnoreCometNativeScan("cannot be pushed down")) {
+     import testImplicits._
+     // keep() should take effect on StartsWith/EndsWith/Contains
+     Seq(
+@@ -1750,7 +1764,8 @@ 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",
++    IgnoreCometNativeScan("Comet has different push-down behavior")) {
+     val schema = StructType(Seq(
+       StructField("a", IntegerType, nullable = false)
+     ))
+@@ -1956,13 +1971,21 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
+            """.stripMargin)
+ 
+         withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") {
+-          val ex = intercept[SparkException] {
++          // Spark native readers wrap the error in SparkException(FAILED_READ_FILE).
++          // Comet native readers throw SparkRuntimeException directly.
++          try {
+             sql(s"select a from $tableName where b > 0").collect()
++            fail("Expected an exception")
++          } catch {
++            case ex: SparkException =>
++              assert(ex.getCondition.startsWith("FAILED_READ_FILE"))
++              assert(ex.getCause.isInstanceOf[SparkRuntimeException])
++              assert(ex.getCause.getMessage.contains(
++                """Found duplicate field(s) "B": [B, b] in case-insensitive mode"""))
++            case ex: SparkRuntimeException =>
++              assert(ex.getMessage.contains(
++                """Found duplicate field(s) "B": [B, b] in case-insensitive mode"""))
+           }
+-          assert(ex.getCondition.startsWith("FAILED_READ_FILE"))
+-          assert(ex.getCause.isInstanceOf[SparkRuntimeException])
+-          assert(ex.getCause.getMessage.contains(
+-            """Found duplicate field(s) "B": [B, b] in case-insensitive mode"""))
+         }
+ 
+         withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") {
+@@ -1993,7 +2016,8 @@ 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
+@@ -2053,7 +2077,8 @@ abstract class ParquetFilterSuite extends QueryTest with ParquetTest with Shared
+     }
+   }
+ 
+-  test("SPARK-34562: Bloom filter push down") {
++  test("SPARK-34562: Bloom filter push down",
++    IgnoreCometNativeScan("Native scans do not support the tested accumulator")) {
+     withTempPath { dir =>
+       val path = dir.getCanonicalPath
+       spark.range(100).selectExpr("id * 2 AS id")
+@@ -2351,7 +2376,11 @@ class ParquetV1FilterSuite extends ParquetFilterSuite {
+           assert(pushedParquetFilters.exists(_.getClass === filterClass),
+             s"${pushedParquetFilters.map(_.getClass).toList} did not contain ${filterClass}.")
+ 
+-          checker(stripSparkFilter(query), expected)
++          // Similar to Spark's vectorized reader, Comet doesn't do row-level filtering but relies
++          // on Spark to apply the data filters after columnar batches are returned
++          if (!isCometEnabled) {
++            checker(stripSparkFilter(query), expected)
++          }
+         } else {
+           assert(selectedFilters.isEmpty, "There is filter pushed down")
+         }
+@@ -2414,7 +2443,11 @@ class ParquetV2FilterSuite extends ParquetFilterSuite {
+           assert(pushedParquetFilters.exists(_.getClass === filterClass),
+             s"${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 _ => assert(false, "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 18a8896e4a7..d992a7fde33 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
+@@ -41,6 +41,7 @@ import org.apache.parquet.schema.{MessageType, MessageTypeParser}
+ import org.apache.spark.{SPARK_VERSION_SHORT, SparkException, TestUtils}
+ import org.apache.spark.rdd.RDD
+ import org.apache.spark.sql._
++import org.apache.spark.sql.{IgnoreComet, IgnoreCometNativeDataFusion}
+ import org.apache.spark.sql.catalyst.InternalRow
+ import org.apache.spark.sql.catalyst.expressions.{Attribute, GenericInternalRow, UnsafeRow}
+ import org.apache.spark.sql.catalyst.util.{DateTimeConstants, DateTimeUtils}
+@@ -784,7 +785,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("vectorized reader: missing all struct fields") {
++  test("vectorized reader: missing all struct fields",
++      IgnoreComet("https://github.com/apache/datafusion-comet/issues/4136")) {
+     for {
+       offheapEnabled <- Seq(true, false)
+       returnNullStructIfAllFieldsMissing <- Seq(true, false)
+@@ -822,7 +824,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("SPARK-53535: vectorized reader: missing all struct fields, struct with complex fields") {
++  test("SPARK-53535: vectorized reader: missing all struct fields, struct with complex fields",
++      IgnoreComet("https://github.com/apache/datafusion-comet/issues/4136")) {
+     val data = Seq(
+       Row(Row(Seq(11, 12, null, 14), Row("21", 22), Row(true)), 100),
+       Row(Row(Seq(11, 12, null, 14), Row("21", 22), Row(false)), 100),
+@@ -877,7 +880,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("SPARK-53535: vectorized reader: missing all struct fields, struct with map field only") {
++  test("SPARK-53535: vectorized reader: missing all struct fields, struct with map field only",
++      IgnoreComet("https://github.com/apache/datafusion-comet/issues/4136")) {
+     val data = Seq(
+       Row(Row(Map("key1" -> 1)), 100),
+       Row(Row(Map("key2" -> 2)), 100),
+@@ -922,7 +926,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+   }
+ 
+   test("SPARK-53535: vectorized reader: missing all struct fields, " +
+-      "struct with cheap map and more expensive array field") {
++      "struct with cheap map and more expensive array field",
++      IgnoreComet("https://github.com/apache/datafusion-comet/issues/4136")) {
+     val data = Seq(
+       Row(Row(Map(false -> Row("expensive", 1)), Seq("test1")), 100),
+       Row(Row(Map(true -> Row("expensive", 2)), Seq("test2")), 100),
+@@ -972,7 +977,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("SPARK-54220: vectorized reader: missing all struct fields, struct with NullType only") {
++  test("SPARK-54220: vectorized reader: missing all struct fields, struct with NullType only",
++      IgnoreComet("https://github.com/apache/datafusion-comet/issues/4136")) {
+     val data = Seq(
+       Tuple1((null, null)),
+       Tuple1((null, null)),
+@@ -1310,7 +1316,8 @@ class ParquetIOSuite extends QueryTest with ParquetTest with SharedSparkSession
+     }
+   }
+ 
+-  test("SPARK-35640: read binary as timestamp should throw schema incompatible error") {
++  test("SPARK-35640: read binary as timestamp should throw schema incompatible error",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     val data = (1 to 4).map(i => Tuple1(i.toString))
+     val readSchema = StructType(Seq(StructField("_1", DataTypes.TimestampType)))
+ 
+@@ -1595,7 +1602,8 @@ 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 5da370d98bf..09300592c8d 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
+@@ -27,6 +27,7 @@ import org.apache.parquet.hadoop.ParquetOutputFormat
+ 
+ import org.apache.spark.{DebugFilesystem, SparkConf, SparkException}
+ import org.apache.spark.sql._
++import org.apache.spark.sql.IgnoreCometNativeDataFusion
+ import org.apache.spark.sql.catalyst.{InternalRow, TableIdentifier}
+ import org.apache.spark.sql.catalyst.expressions.SpecificInternalRow
+ import org.apache.spark.sql.catalyst.util.ArrayData
+@@ -185,7 +186,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+     }
+   }
+ 
+-  test("SPARK-47447: read TimestampLTZ as TimestampNTZ") {
++  test("SPARK-47447: read TimestampLTZ as TimestampNTZ",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     val providedSchema = StructType(Seq(StructField("time", TimestampNTZType, false)))
+ 
+     Seq("INT96", "TIMESTAMP_MICROS", "TIMESTAMP_MILLIS").foreach { tsType =>
+@@ -318,7 +320,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+     }
+   }
+ 
+-  test("Enabling/disabling ignoreCorruptFiles") {
++  test("Enabling/disabling ignoreCorruptFiles",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3314")) {
+     def testIgnoreCorruptFiles(options: Map[String, String]): Unit = {
+       withTempDir { dir =>
+         val basePath = dir.getCanonicalPath
+@@ -1064,7 +1067,11 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+         Seq(Some("A"), Some("A"), None).toDF().repartition(1)
+           .write.parquet(path.getAbsolutePath)
+         val df = spark.read.parquet(path.getAbsolutePath)
+-        checkAnswer(stripSparkFilter(df.where("NOT (value <=> 'A')")), df)
++        // 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) {
++          checkAnswer(stripSparkFilter(df.where("NOT (value <=> 'A')")), df)
++        }
+       }
+     }
+   }
+@@ -1110,7 +1117,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+     testMigration(fromTsType = "TIMESTAMP_MICROS", toTsType = "INT96")
+   }
+ 
+-  test("SPARK-34212 Parquet should read decimals correctly") {
++  test("SPARK-34212 Parquet should read decimals correctly",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     def readParquet(schema: String, path: File): DataFrame = {
+       spark.read.schema(schema).parquet(path.toString)
+     }
+@@ -1128,7 +1136,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+         checkAnswer(readParquet(schema2, 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)"
+@@ -1152,7 +1161,8 @@ 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("a DECIMAL(11, 2)", path), sql("SELECT 1.00"))
+         checkAnswer(readParquet("b DECIMAL(3, 2)", path), Row(null))
+@@ -1199,7 +1209,8 @@ abstract class ParquetQuerySuite extends QueryTest with ParquetTest with SharedS
+     }
+   }
+ 
+-  test("row group skipping doesn't overflow when reading into larger type") {
++  test("row group skipping doesn't overflow when reading into larger type",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     withTempPath { path =>
+       Seq(0).toDF("a").write.parquet(path.toString)
+       withAllParquetReaders {
+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 30503af0fab..1491f4bc2d5 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.{LegacyBehaviorPolicy, SQLConf}
+ import org.apache.spark.sql.internal.LegacyBehaviorPolicy.{CORRECTED, EXCEPTION, LEGACY}
+@@ -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 fd96e23b17c..b246ae9666c 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
+@@ -20,6 +20,7 @@ import java.io.File
+ 
+ import scala.jdk.CollectionConverters._
+ 
++import org.apache.comet.CometConf
+ import org.apache.hadoop.fs.Path
+ import org.apache.parquet.column.ParquetProperties._
+ import org.apache.parquet.format.converter.ParquetMetadataConverter
+@@ -29,6 +30,7 @@ import org.apache.parquet.hadoop.util.HadoopInputFile
+ 
+ import org.apache.spark.SparkException
+ import org.apache.spark.sql.QueryTest
++import org.apache.spark.sql.comet.{CometBatchScanExec, CometNativeScanExec, 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
+@@ -248,6 +250,17 @@ 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 b: CometNativeScanExec =>
++              numPartitions +=
++                b.originalPlan.inputRDD.partitions.length
++              numOutputRows +=
++                b.metrics("numOutputRows").value
+             case _ =>
+           }
+           assert(numPartitions > 0)
+@@ -306,6 +319,12 @@ class ParquetRowIndexSuite extends QueryTest with SharedSparkSession {
+     val conf = RowIndexTestConf(useDataSourceV2 = useDataSourceV2)
+ 
+     test(s"invalid row index column type - ${conf.desc}") {
++      // https://github.com/apache/datafusion-comet/issues/3886
++      // Comet throws RuntimeException instead of SparkException
++      assume(!Seq(
++        CometConf.SCAN_NATIVE_DATAFUSION,
++        CometConf.SCAN_AUTO
++      ).contains(CometConf.COMET_NATIVE_SCAN_IMPL.get()))
+       withSQLConf(conf.sqlConfs: _*) {
+         withTempPath{ path =>
+           val df = spark.range(0, 10, 1, 1).toDF("id")
+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 c8d866d8b2d..46e13592c9f 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
+@@ -27,7 +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.{AnalysisException, Row}
++import org.apache.spark.sql.{AnalysisException, IgnoreComet, IgnoreCometNativeDataFusion, Row}
+ import org.apache.spark.sql.catalyst.expressions.Cast.toSQLType
+ import org.apache.spark.sql.execution.datasources.SchemaColumnConvertNotSupportedException
+ import org.apache.spark.sql.functions.desc
+@@ -1037,7 +1037,8 @@ 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"
+@@ -1046,7 +1047,8 @@ class ParquetSchemaSuite extends ParquetSchemaTest {
+     }
+   }
+ 
+-  test("schema mismatch failure error message for parquet vectorized reader") {
++  test("schema mismatch failure error message for parquet vectorized reader",
++      IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     withTempPath { dir =>
+       val e = testSchemaMismatch(dir.getCanonicalPath, vectorizedReaderEnabled = true)
+       assert(e.getCause.isInstanceOf[SchemaColumnConvertNotSupportedException])
+@@ -1079,7 +1081,8 @@ class ParquetSchemaSuite extends ParquetSchemaTest {
+     }
+   }
+ 
+-  test("SPARK-45604: schema mismatch failure error on timestamp_ntz to array<timestamp_ntz>") {
++  test("SPARK-45604: schema mismatch failure error on timestamp_ntz to array<timestamp_ntz>",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     import testImplicits._
+ 
+     withTempPath { dir =>
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetTypeWideningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetTypeWideningSuite.scala
+index 2fc42f19743..67c3318f405 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetTypeWideningSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetTypeWideningSuite.scala
+@@ -25,7 +25,7 @@ import org.apache.parquet.hadoop.ParquetOutputFormat
+ import org.apache.parquet.hadoop.util.HadoopInputFile
+ 
+ import org.apache.spark.SparkException
+-import org.apache.spark.sql.{DataFrame, QueryTest, Row}
++import org.apache.spark.sql.{DataFrame, IgnoreCometNativeDataFusion, QueryTest, Row}
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+ import org.apache.spark.sql.execution.datasources.SchemaColumnConvertNotSupportedException
+ import org.apache.spark.sql.functions.col
+@@ -66,7 +66,9 @@ class ParquetTypeWideningSuite
+     withClue(
+       s"with dictionary encoding '$dictionaryEnabled' with timestamp rebase mode " +
+         s"'$timestampRebaseMode''") {
+-      withAllParquetWriters {
++      // TODO: Comet cannot read DELTA_BINARY_PACKED created by V2 writer
++      // https://github.com/apache/datafusion-comet/issues/574
++      // withAllParquetWriters {
+         withTempDir { dir =>
+           val expected =
+             writeParquetFiles(dir, values, fromType, dictionaryEnabled, timestampRebaseMode)
+@@ -87,7 +89,7 @@ class ParquetTypeWideningSuite
+             }
+           }
+         }
+-      }
++      // }
+     }
+   }
+ 
+@@ -191,7 +193,8 @@ class ParquetTypeWideningSuite
+       (Seq("1", "2", Short.MinValue.toString), ShortType, DoubleType),
+       (Seq("1", "2", Int.MinValue.toString), IntegerType, DoubleType),
+       (Seq("1.23", "10.34"), FloatType, DoubleType),
+-      (Seq("2020-01-01", "2020-01-02", "1312-02-27"), DateType, TimestampNTZType)
++      // TODO: Comet cannot handle older than "1582-10-15"
++      (Seq("2020-01-01", "2020-01-02"/* , "1312-02-27" */), DateType, TimestampNTZType)
+     )
+   }
+   test(s"parquet widening conversion $fromType -> $toType") {
+@@ -232,7 +235,8 @@ class ParquetTypeWideningSuite
+       (Seq("2020-01-01", "2020-01-02", "1312-02-27"), DateType, TimestampType)
+     )
+   }
+-  test(s"unsupported parquet conversion $fromType -> $toType") {
++  test(s"unsupported parquet conversion $fromType -> $toType",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     checkAllParquetReaders(values, fromType, toType, expectError = true)
+   }
+ 
+@@ -258,7 +262,8 @@ class ParquetTypeWideningSuite
+       (Seq("1", "2"), LongType, DecimalType(LongDecimal.precision, 1))
+     )
+   }
+-  test(s"unsupported parquet conversion $fromType -> $toType") {
++  test(s"unsupported parquet conversion $fromType -> $toType",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     checkAllParquetReaders(values, fromType, toType,
+       expectError =
+       // parquet-mr allows reading decimals into a smaller precision decimal type without
+@@ -272,7 +277,8 @@ class ParquetTypeWideningSuite
+       (Seq("2020-01-01", "2020-01-02", "1312-02-27"), TimestampNTZType, DateType))
+     outputTimestampType <- ParquetOutputTimestampType.values
+   }
+-  test(s"unsupported parquet timestamp conversion $fromType ($outputTimestampType) -> $toType") {
++  test(s"unsupported parquet timestamp conversion $fromType ($outputTimestampType) -> $toType",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     withSQLConf(
+       SQLConf.PARQUET_OUTPUT_TIMESTAMP_TYPE.key -> outputTimestampType.toString,
+       SQLConf.PARQUET_INT96_REBASE_MODE_IN_WRITE.key -> LegacyBehaviorPolicy.CORRECTED.toString
+@@ -292,7 +298,8 @@ class ParquetTypeWideningSuite
+       Seq(7 -> 5, 10 -> 5, 20 -> 5, 12 -> 10, 20 -> 10, 22 -> 20)
+   }
+   test(
+-    s"parquet decimal precision change Decimal($fromPrecision, 2) -> Decimal($toPrecision, 2)") {
++    s"parquet decimal precision change Decimal($fromPrecision, 2) -> Decimal($toPrecision, 2)",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
+     checkAllParquetReaders(
+       values = Seq("1.23", "10.34"),
+       fromType = DecimalType(fromPrecision, 2),
+@@ -323,7 +330,8 @@ class ParquetTypeWideningSuite
+       Seq((5, 2) -> (6, 4), (10, 4) -> (12, 7), (20, 5) -> (22, 8))
+   }
+   test(s"parquet decimal precision and scale change Decimal($fromPrecision, $fromScale) -> " +
+-    s"Decimal($toPrecision, $toScale)"
++    s"Decimal($toPrecision, $toScale)",
++    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")
+   ) {
+     checkAllParquetReaders(
+       values = Seq("1.23", "10.34"),
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetVariantShreddingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetVariantShreddingSuite.scala
+index 1cc6d3afbee..8275727fbb4 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetVariantShreddingSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetVariantShreddingSuite.scala
+@@ -29,7 +29,7 @@ import org.apache.parquet.schema.{LogicalTypeAnnotation, PrimitiveType, Type}
+ import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
+ 
+ import org.apache.spark.SparkException
+-import org.apache.spark.sql.{AnalysisException, QueryTest, Row}
++import org.apache.spark.sql.{AnalysisException, IgnoreCometSuite, QueryTest, Row}
+ import org.apache.spark.sql.internal.SQLConf
+ import org.apache.spark.sql.internal.SQLConf.ParquetOutputTimestampType
+ import org.apache.spark.sql.test.SharedSparkSession
+@@ -38,7 +38,9 @@ import org.apache.spark.unsafe.types.VariantVal
+ /**
+  * Test shredding Variant values in the Parquet reader/writer.
+  */
+-class ParquetVariantShreddingSuite extends QueryTest with ParquetTest with SharedSparkSession {
++class ParquetVariantShreddingSuite extends QueryTest with ParquetTest with SharedSparkSession
++    // TODO enable tests once https://github.com/apache/datafusion-comet/issues/2209 is fixed
++    with IgnoreCometSuite {
+ 
+   private def testWithTempDir(name: String)(block: File => Unit): Unit = test(name) {
+     withTempDir { dir =>
+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 b8f3ea3c6f3..bbd44221288 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
+@@ -125,7 +126,8 @@ 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 58457091a4a..c1f780d0f2e 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
+@@ -46,8 +46,10 @@ 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._
+ 
+   /**
+@@ -825,7 +827,8 @@ 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 79e157c4db6..2861952798b 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 +109,8 @@ class ExtractPythonUDFsSuite extends SparkPlanTest with SharedSparkSession {
+ 
+           val scanNodes = query.queryExecution.executedPlan.collect {
+             case scan: FileSourceScanExec => scan
++            case scan: CometScanExec => scan
++            case scan: CometNativeScanExec => scan
+           }
+           assert(scanNodes.length == 1)
+           assert(scanNodes.head.output.map(_.name) == Seq("a"))
+@@ -120,11 +123,18 @@ class ExtractPythonUDFsSuite extends SparkPlanTest with SharedSparkSession {
+ 
+           val scanNodes = query.queryExecution.executedPlan.collect {
+             case scan: FileSourceScanExec => scan
++            case scan: CometScanExec => scan
++            case scan: CometNativeScanExec => 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
++            case scan: CometNativeScanExec => scan.dataFilters
++          }
++          assert(dataFilters.length == 2)
++          assert(dataFilters.flatMap(_.references.map(_.name)).distinct == Seq("a"))
+         }
+       }
+     }
+@@ -145,6 +155,7 @@ 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 +168,7 @@ 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 3f0e6526466..8644d5ecfb6 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
+@@ -38,8 +38,10 @@ 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/execution/streaming/state/RocksDBStateStoreIntegrationSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreIntegrationSuite.scala
+index 03e23e6b466..c1e6371cca6 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreIntegrationSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/state/RocksDBStateStoreIntegrationSuite.scala
+@@ -24,6 +24,7 @@ import scala.jdk.CollectionConverters.SetHasAsScala
+ import org.scalatest.time.{Millis, Minute, Seconds, Span}
+ 
+ import org.apache.spark.memory.UnifiedMemoryManager
++import org.apache.spark.sql.IgnoreCometSuite
+ import org.apache.spark.sql.execution.streaming.runtime.{MemoryStream, StreamingQueryWrapper}
+ import org.apache.spark.sql.functions.{count, max}
+ import org.apache.spark.sql.internal.SQLConf
+@@ -32,7 +33,7 @@ import org.apache.spark.sql.streaming.OutputMode.Update
+ import org.apache.spark.util.Utils
+ 
+ class RocksDBStateStoreIntegrationSuite extends StreamTest
+-  with AlsoTestWithRocksDBFeatures {
++  with AlsoTestWithRocksDBFeatures with IgnoreCometSuite {
+   import testImplicits._
+ 
+   testWithColumnFamilies("RocksDBStateStore",
+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 83ebd24384c..32511091bb2 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
+@@ -26,10 +26,11 @@ 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.catalyst.types.DataTypeUtils
+-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}
+ 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
+@@ -103,12 +104,22 @@ 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
++      case f: CometNativeScanExec => 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
++    case ns: CometNativeScanExec => ns.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
+@@ -157,7 +168,8 @@ 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$fileScan")
+ 
+           val bucketColumnType = bucketedDataFrame.schema.apply(bucketColumnIndex).dataType
+           val rowsWithInvalidBuckets = fileScan.execute().filter(row => {
+@@ -454,28 +466,54 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
+         val joinOperator = if (joined.sparkSession.sessionState.conf.adaptiveExecutionEnabled) {
+           val executedPlan =
+             joined.queryExecution.executedPlan.asInstanceOf[AdaptiveSparkPlanExec].executedPlan
+-          assert(executedPlan.isInstanceOf[SortMergeJoinExec])
+-          executedPlan.asInstanceOf[SortMergeJoinExec]
++          executedPlan match {
++            case s: SortMergeJoinExec => s
++            case b: CometSortMergeJoinExec =>
++              b.originalPlan match {
++                case s: SortMergeJoinExec => s
++                case o => fail(s"expected SortMergeJoinExec, but found\n$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 CometColumnarToRowExec(child) =>
++              child.asInstanceOf[CometSortMergeJoinExec].originalPlan match {
++                case s: SortMergeJoinExec => s
++                case o => fail(s"expected SortMergeJoinExec, but found\n$o")
++              }
++            case CometNativeColumnarToRowExec(child) =>
++              child.asInstanceOf[CometSortMergeJoinExec].originalPlan match {
++                case s: SortMergeJoinExec => s
++                case o => fail(s"expected SortMergeJoinExec, but found\n$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
+@@ -838,11 +876,11 @@ 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")))
+     }
+   }
+@@ -1031,15 +1069,24 @@ abstract class BucketedReadSuite extends QueryTest with SQLTestUtils with Adapti
+           Seq(true, false).foreach { aqeEnabled =>
+             withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> aqeEnabled.toString) {
+               val plan = sql(query).queryExecution.executedPlan
+-              val shuffles = collect(plan) { case s: ShuffleExchangeExec => s }
++              val shuffles = collect(plan) { case s: ShuffleExchangeLike => s }
+               assert(shuffles.length == expectedNumShuffles)
+ 
+               val scans = collect(plan) {
+                 case f: FileSourceScanExec if f.optionalNumCoalescedBuckets.isDefined => f
++                case b: CometScanExec if b.optionalNumCoalescedBuckets.isDefined => b
++                case b: CometNativeScanExec 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)
++                  case b: CometNativeScanExec =>
++                    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 95c2fcbd7b5..e2d4a20c5d9 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
+@@ -20,6 +20,7 @@ package org.apache.spark.sql.sources
+ import java.io.File
+ 
+ import org.apache.spark.SparkException
++import org.apache.spark.sql.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
+@@ -27,7 +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 7db56ed62f9..13ef0d11b9e 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
+@@ -18,6 +18,7 @@
+ package org.apache.spark.sql.sources
+ 
+ import org.apache.spark.sql.QueryTest
++import org.apache.spark.sql.comet.{CometNativeScanExec, CometScanExec}
+ import org.apache.spark.sql.execution.FileSourceScanExec
+ import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
+ import org.apache.spark.sql.internal.SQLConf
+@@ -65,7 +66,11 @@ abstract class DisableUnnecessaryBucketedScanSuite
+     val df = sql(query)
+     df.collect()
+     val plan = df.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
++      case s: CometNativeScanExec 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 4c06a0109e3..0b0e4990c0a 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
+@@ -35,6 +35,7 @@ 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.parquet.ParquetFileFormat
+@@ -804,6 +805,8 @@ 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/StreamRealTimeModeAllowlistSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamRealTimeModeAllowlistSuite.scala
+index 4306e5a8601..ee80e65ec26 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamRealTimeModeAllowlistSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamRealTimeModeAllowlistSuite.scala
+@@ -20,11 +20,13 @@ package org.apache.spark.sql.streaming
+ import scala.concurrent.duration._
+ 
+ import org.apache.spark.SparkIllegalArgumentException
++import org.apache.spark.sql.IgnoreCometSuite
+ import org.apache.spark.sql.execution.streaming.LowLatencyMemoryStream
+ import org.apache.spark.sql.functions._
+ import org.apache.spark.sql.internal.SQLConf
+ 
+-class StreamRealTimeModeAllowlistSuite extends StreamRealTimeModeE2ESuiteBase {
++class StreamRealTimeModeAllowlistSuite extends StreamRealTimeModeE2ESuiteBase
++  with IgnoreCometSuite {
+   import testImplicits._
+ 
+   test("rtm source allowlist") {
+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 b4fd41a6b55..07b59eae016 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
+@@ -39,6 +39,7 @@ import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
+ import org.apache.spark.sql.catalyst.util.DateTimeUtils
+ import org.apache.spark.sql.classic.{DataFrame, Dataset}
+ import org.apache.spark.sql.classic.ClassicConversions._
++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._
+@@ -1119,11 +1120,12 @@ class StreamSuite extends StreamTest {
+       val localLimits = StreamingQueryPlanTraverseHelper.collectFromUnfoldedPlan(execPlan) {
+         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(
+@@ -1131,7 +1133,8 @@ 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 465da3cd469..92ac998929d 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
+@@ -22,6 +22,7 @@ import java.io.File
+ 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.operators.stateful.{StateStoreRestoreExec, StateStoreSaveExec}
+ import org.apache.spark.sql.execution.streaming.runtime.MemoryStream
+@@ -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 7dc228feaff..6aaeac31699 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
+@@ -34,7 +34,7 @@ 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.datasources.v2.state.StateSourceOptions
+-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
++import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
+ import org.apache.spark.sql.execution.streaming.checkpointing.CheckpointFileManager
+ import org.apache.spark.sql.execution.streaming.operators.stateful.StatefulOperatorStateInfo
+ import org.apache.spark.sql.execution.streaming.operators.stateful.join.{StreamingSymmetricHashJoinExec, StreamingSymmetricHashJoinHelper}
+@@ -666,14 +666,28 @@ abstract class StreamingInnerJoinBase extends StreamingJoinSuite {
+ 
+         val numPartitions = spark.sessionState.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/StreamingQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+index 7adf98b7920..ac46942b55d 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingQuerySuite.scala
+@@ -43,7 +43,7 @@ import org.apache.spark.sql.catalyst.types.DataTypeUtils.toAttributes
+ import org.apache.spark.sql.classic.{DataFrame, Dataset}
+ import org.apache.spark.sql.connector.read.InputPartition
+ import org.apache.spark.sql.connector.read.streaming.{Offset => OffsetV2, ReadLimit}
+-import org.apache.spark.sql.execution.exchange.{REQUIRED_BY_STATEFUL_OPERATOR, ReusedExchangeExec, ShuffleExchangeExec}
++import org.apache.spark.sql.execution.exchange.{REQUIRED_BY_STATEFUL_OPERATOR, ReusedExchangeExec, ShuffleExchangeLike}
+ import org.apache.spark.sql.execution.streaming._
+ import org.apache.spark.sql.execution.streaming.checkpointing.{CheckpointFileManager, OffsetSeqMetadata}
+ import org.apache.spark.sql.execution.streaming.operators.stateful.StateStoreSaveExec
+@@ -1471,7 +1471,7 @@ class StreamingQuerySuite extends StreamTest with BeforeAndAfter with Logging wi
+       CheckAnswer((1, 2), (2, 2), (3, 2)),
+       Execute { qe =>
+         val shuffleOpt = qe.lastExecution.executedPlan.collect {
+-          case s: ShuffleExchangeExec => s
++          case s: ShuffleExchangeLike => s
+         }
+ 
+         assert(shuffleOpt.nonEmpty, "No shuffle exchange found in the query plan")
+@@ -1572,7 +1572,7 @@ class StreamingQuerySuite extends StreamTest with BeforeAndAfter with Logging wi
+                 .get(SQLConf.SHUFFLE_PARTITIONS.key) === Some("1"))
+ 
+             val shuffles = q.lastExecution.executedPlan.collect {
+-              case s: ShuffleExchangeExec => s
++              case s: ShuffleExchangeLike => s
+             }
+ 
+             val shuffle = shuffles.head
+@@ -1603,7 +1603,7 @@ class StreamingQuerySuite extends StreamTest with BeforeAndAfter with Logging wi
+                 .get(SQLConf.SHUFFLE_PARTITIONS.key) === Some("1"))
+ 
+             val shuffles = q.lastExecution.executedPlan.collect {
+-              case s: ShuffleExchangeExec => s
++              case s: ShuffleExchangeLike => s
+             }
+ 
+             val shuffle = shuffles.head
+@@ -1647,7 +1647,7 @@ class StreamingQuerySuite extends StreamTest with BeforeAndAfter with Logging wi
+         CheckAnswer((5, 10, 15)),
+         Execute { q =>
+           val shuffles = q.lastExecution.executedPlan.collect {
+-            case s: ShuffleExchangeExec => s
++            case s: ShuffleExchangeLike => s
+           }
+ 
+           val shuffle = shuffles.head
+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 89f65562295..166a11a9079 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}
+@@ -359,7 +359,8 @@ 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 e330db6b129..d33be82fb45 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
+@@ -27,13 +27,14 @@ import scala.jdk.CollectionConverters._
+ import scala.language.implicitConversions
+ import scala.util.control.NonFatal
+ 
++import org.apache.comet.CometConf
+ import org.apache.hadoop.fs.Path
+ import org.scalactic.source.Position
+ import org.scalatest.{BeforeAndAfterAll, Suite, Tag}
+ import org.scalatest.concurrent.Eventually
+ 
+ import org.apache.spark.SparkFunSuite
+-import org.apache.spark.sql.{classic, AnalysisException, Row}
++import org.apache.spark.sql.{classic, AnalysisException, IgnoreComet, IgnoreCometNativeDataFusion, IgnoreCometNativeIcebergCompat, IgnoreCometNativeScan, Row}
+ import org.apache.spark.sql.catalyst.FunctionIdentifier
+ import org.apache.spark.sql.catalyst.analysis.NoSuchTableException
+ import org.apache.spark.sql.catalyst.catalog.SessionCatalog.DEFAULT_DATABASE
+@@ -42,6 +43,7 @@ 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.classic.{ClassicConversions, ColumnConversions, ColumnNodeToExpressionConverter, DataFrame, Dataset, SparkSession, SQLImplicits}
++import org.apache.spark.sql.comet.{CometFilterExec, CometProjectExec}
+ import org.apache.spark.sql.execution.FilterExec
+ import org.apache.spark.sql.execution.adaptive.DisableAdaptiveExecution
+ import org.apache.spark.sql.execution.datasources.DataSourceUtils
+@@ -121,6 +123,34 @@ private[sql] trait SQLTestUtils extends SparkFunSuite with SQLTestUtilsBase with
+ 
+   override protected def test(testName: String, testTags: Tag*)(testFun: => Any)
+       (implicit pos: Position): Unit = {
++    // Check Comet skip tags first, before DisableAdaptiveExecution handling
++    if (isCometEnabled && testTags.exists(_.isInstanceOf[IgnoreComet])) {
++      ignore(testName + " (disabled when Comet is on)", testTags: _*)(testFun)
++      return
++    }
++    if (isCometEnabled) {
++      val cometScanImpl = CometConf.COMET_NATIVE_SCAN_IMPL.get(conf)
++      val isNativeIcebergCompat = cometScanImpl == CometConf.SCAN_NATIVE_ICEBERG_COMPAT ||
++        cometScanImpl == CometConf.SCAN_AUTO
++      val isNativeDataFusion = cometScanImpl == CometConf.SCAN_NATIVE_DATAFUSION ||
++        cometScanImpl == CometConf.SCAN_AUTO
++      if (isNativeIcebergCompat &&
++        testTags.exists(_.isInstanceOf[IgnoreCometNativeIcebergCompat])) {
++        ignore(testName + " (disabled for NATIVE_ICEBERG_COMPAT)", testTags: _*)(testFun)
++        return
++      }
++      if (isNativeDataFusion &&
++        testTags.exists(_.isInstanceOf[IgnoreCometNativeDataFusion])) {
++        ignore(testName + " (disabled for NATIVE_DATAFUSION)", testTags: _*)(testFun)
++        return
++      }
++      if ((isNativeDataFusion || isNativeIcebergCompat) &&
++        testTags.exists(_.isInstanceOf[IgnoreCometNativeScan])) {
++        ignore(testName + " (disabled for NATIVE_DATAFUSION and NATIVE_ICEBERG_COMPAT)",
++          testTags: _*)(testFun)
++        return
++      }
++    }
+     if (testTags.exists(_.isInstanceOf[DisableAdaptiveExecution])) {
+       super.test(testName, testTags: _*) {
+         withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false") {
+@@ -250,8 +280,24 @@ private[sql] trait SQLTestUtilsBase
+     override protected def converter: ColumnNodeToExpressionConverter = self.spark.converter
+   }
+ 
++  /**
++   * Whether Comet extension is enabled
++   */
++  protected def isCometEnabled: Boolean = SparkSession.isCometEnabled
++
++  /**
++   * 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[T](pairs: (String, String)*)(f: => T): T = {
+     SparkSession.setActiveSession(spark)
++
++
+     super.withSQLConf(pairs: _*)(f)
+   }
+ 
+@@ -453,6 +499,8 @@ 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 456e7ed3478..4d5e7db45d2 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
+@@ -98,6 +98,27 @@ 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")
++        .set("spark.comet.parquet.respectFilterPushdown", "true")
++
++      if (!isCometScanOnly) {
++        conf
++          .set("spark.comet.exec.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")
++      } else {
++        conf
++          .set("spark.comet.exec.enabled", "false")
++          .set("spark.comet.exec.shuffle.enabled", "false")
++      }
++
++    }
+     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 e375678157b..df823a613fb 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
+@@ -47,7 +47,7 @@ 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: DefaultFormats = 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 ff8cbc0ad6e..36e75a6f5e5 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
+@@ -36,6 +37,12 @@ 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 s: CometNativeScanExec => 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/HiveUDFDynamicLoadSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveUDFDynamicLoadSuite.scala
+index 4b27082e188..057b2430872 100644
+--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveUDFDynamicLoadSuite.scala
++++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveUDFDynamicLoadSuite.scala
+@@ -17,7 +17,7 @@
+ 
+ package org.apache.spark.sql.hive
+ 
+-import org.apache.spark.sql.{QueryTest, Row}
++import org.apache.spark.sql.{IgnoreCometSuite, QueryTest, Row}
+ import org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression}
+ import org.apache.spark.sql.hive.HiveShim.HiveFunctionWrapper
+ import org.apache.spark.sql.hive.test.TestHiveSingleton
+@@ -26,7 +26,13 @@ import org.apache.spark.sql.types.{IntegerType, StringType}
+ import org.apache.spark.util.ArrayImplicits._
+ import org.apache.spark.util.Utils
+ 
+-class HiveUDFDynamicLoadSuite extends QueryTest with SQLTestUtils with TestHiveSingleton {
++// Comet: mix in IgnoreCometSuite so these tests are reported as ignored when Comet is enabled
++// (ENABLE_COMET=true). The jar these tests depend on (`hive-test-udfs.jar`) is stripped from the
++// Spark 4.0.1 release source tag per the ASF binary-artifact policy, so the tests cannot run in
++// Comet's CI. Ignoring keeps the suite passing without masking real regressions; the upstream
++// tests still run in non-Comet Spark builds that ship the jar on branch-4.0.
++class HiveUDFDynamicLoadSuite extends QueryTest with SQLTestUtils with TestHiveSingleton
++  with IgnoreCometSuite {
+ 
+   case class UDFTestInformation(
+       identifier: String,
+@@ -147,7 +153,13 @@ class HiveUDFDynamicLoadSuite extends QueryTest with SQLTestUtils with TestHiveS
+ 
+     // This jar file should not be placed to the classpath.
+     val jarPath = "src/test/noclasspath/hive-test-udfs.jar"
+-    assume(new java.io.File(jarPath).exists)
++    // Comet: the upstream `assume(...)` runs here in the suite constructor (inside this foreach,
++    // before `test(...)` registers a case). When the jar is missing - as it is on the v4.0.1
++    // release tag - `assume` throws TestCanceledException out of `<init>`, which ScalaTest
++    // reports as a suite abort (not a per-test cancel) and fails the whole job. The
++    // IgnoreCometSuite mixin above already reroutes these tests to `ignore` under Comet, so
++    // the jar presence check is unnecessary; comment it out to avoid the constructor-time abort.
++    // assume(new java.io.File(jarPath).exists)
+     val jarUrl = s"file://${System.getProperty("user.dir")}/$jarPath"
+ 
+     test("Spark should be able to run Hive UDF using jar regardless of " +
+diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala
+index e5569bff39c..1cd718d065e 100644
+--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala
++++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/InsertSuite.scala
+@@ -873,7 +873,8 @@ class InsertSuite extends QueryTest with TestHiveSingleton with BeforeAndAfter
+     }
+   }
+ 
+-  test("SPARK-30201 HiveOutputWriter standardOI should use ObjectInspectorCopyOption.DEFAULT") {
++  test("SPARK-30201 HiveOutputWriter standardOI should use ObjectInspectorCopyOption.DEFAULT",
++      IgnoreComet("Comet does not support reading non UTF-8 strings")) {
+     withTable("t1", "t2") {
+       withTempDir { dir =>
+         val file = new File(dir, "test.hex")
+diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/PartitionedTablePerfStatsSuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/PartitionedTablePerfStatsSuite.scala
+index 39a44a69674..dfbe8352402 100644
+--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/PartitionedTablePerfStatsSuite.scala
++++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/PartitionedTablePerfStatsSuite.scala
+@@ -21,14 +21,15 @@ import java.io.File
+ import java.util.concurrent.{Executors, TimeUnit}
+ 
+ import org.apache.spark.metrics.source.HiveCatalogMetrics
+-import org.apache.spark.sql.QueryTest
++import org.apache.spark.sql.{IgnoreCometSuite, QueryTest}
+ import org.apache.spark.sql.execution.datasources.FileStatusCache
+ import org.apache.spark.sql.hive.test.TestHiveSingleton
+ import org.apache.spark.sql.internal.SQLConf
+ import org.apache.spark.sql.test.SQLTestUtils
+ 
+ class PartitionedTablePerfStatsSuite
+-  extends QueryTest with TestHiveSingleton with SQLTestUtils {
++  extends QueryTest with TestHiveSingleton with SQLTestUtils
++    with IgnoreCometSuite {
+ 
+   override def beforeEach(): Unit = {
+     super.beforeEach()
+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 8e7ff526a95..178421655ad 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
+@@ -54,24 +54,41 @@ 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)
++          .set(UI_ENABLED, false)
++          .set(config.UNSAFE_EXCEPTION_ON_MEMORY_LEAK, true)
++          .set("spark.hadoop.hive.metastore.disallow.incompatible.col.type.changes", "false")
++          .set(SQLConf.OPTIMIZER_EXCLUDED_RULES.key, ConvertToLocalRelation.ruleName)
++
++        if (SparkSession.isCometEnabled) {
++          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.shuffle.manager",
++                "org.apache.spark.sql.comet.execution.shuffle.CometShuffleManager")
++              .set("spark.comet.exec.shuffle.enabled", "true")
++          } else {
++            conf
++              .set("spark.comet.exec.enabled", "false")
++              .set("spark.comet.exec.shuffle.enabled", "false")
++          }
++        }
++
++        conf
++      }
++
+         .set(SHUFFLE_EXCHANGE_MAX_THREAD_THRESHOLD,
+           sys.env.getOrElse("SPARK_TEST_HIVE_SHUFFLE_EXCHANGE_MAX_THREAD_THRESHOLD",
+             SHUFFLE_EXCHANGE_MAX_THREAD_THRESHOLD.defaultValueString).toInt)
diff --git a/pom.xml b/pom.xml
index b83a6fd45b..eafff62463 100644
--- a/pom.xml
+++ b/pom.xml
@@ -707,8 +707,7 @@ under the License.
     </profile>
 
     <profile>
-      <!-- WIP: Spark 4.2 preview support. Targets the 4.2.0-preview4 release; tests are not
-           wired up yet, this profile only aims to compile main sources. -->
+      <!-- Spark 4.2 preview support, targeting the 4.2.0-preview4 release. -->
       <id>spark-4.2</id>
       <properties>
         <scala.version>2.13.18</scala.version>