4.0.1.diff

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 6c51bd4ff2e..e72ec1d26e2 100644
--- a/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
+++ b/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
@@ -231,6 +231,11 @@ 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)
@@ -261,6 +266,11 @@ 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)
@@ -295,6 +305,11 @@ class FallbackStorageSuite extends SparkFunSuite with LocalSparkContext {
 
   CompressionCodec.shortCompressionCodecNames.keys.foreach { codec =>
     test(s"$codec - Newly added executors should access old data from remote storage") {
+      // Comet replaces Spark's shuffle with its own native shuffle, which is incompatible with
+      // the fallback storage migration path used by BlockManagerDecommissioner.
+      val cometEnv = System.getenv("ENABLE_COMET")
+      assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
+        "Skipped when Comet is enabled: incompatible with Comet native shuffle storage")
       sc = new SparkContext(getSparkConf(2, 0).set(IO_COMPRESSION_CODEC, codec))
       withSpark(sc) { sc =>
         TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
diff --git a/pom.xml b/pom.xml
index 22922143fc3..d8eefb0abe2 100644
--- a/pom.xml
+++ b/pom.xml
@@ -148,6 +148,8 @@
     <kryo.version>4.0.3</kryo.version>
     <ivy.version>2.5.3</ivy.version>
     <oro.version>2.0.8</oro.version>
+    <spark.version.short>4.0</spark.version.short>
+    <comet.version>0.16.0-SNAPSHOT</comet.version>
     <!--
     If you change codahale.metrics.version, you also need to change
     the link to metrics.dropwizard.io in docs/monitoring.md.
@@ -2596,6 +2598,25 @@
         <artifactId>arpack</artifactId>
         <version>${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 dcf6223a98b..0458a5bb640 100644
--- a/sql/core/pom.xml
+++ b/sql/core/pom.xml
@@ -90,6 +90,10 @@
       <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 0015d7ff99e..dcbf0325904 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
@@ -1042,6 +1042,23 @@ 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.
@@ -1051,7 +1068,8 @@ 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/listagg-collations.sql.out b/sql/core/src/test/resources/sql-tests/analyzer-results/listagg-collations.sql.out
index 7aca17dcb25..8afeb3b4a2f 100644
--- a/sql/core/src/test/resources/sql-tests/analyzer-results/listagg-collations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/analyzer-results/listagg-collations.sql.out
@@ -64,15 +64,6 @@ WithCTE
       +- CTERelationRef xxxx, true, [c1#x], false, false
 
 
--- !query
-SELECT lower(listagg(DISTINCT c1 COLLATE utf8_lcase) WITHIN GROUP (ORDER BY c1 COLLATE utf8_lcase)) FROM (VALUES ('a'), ('B'), ('b'), ('A')) AS t(c1)
--- !query analysis
-Aggregate [lower(listagg(distinct collate(c1#x, utf8_lcase), null, collate(c1#x, utf8_lcase) ASC NULLS FIRST, 0, 0)) AS lower(listagg(DISTINCT collate(c1, utf8_lcase), NULL) WITHIN GROUP (ORDER BY collate(c1, utf8_lcase) ASC NULLS FIRST))#x]
-+- SubqueryAlias t
-   +- Project [col1#x AS c1#x]
-      +- LocalRelation [col1#x]
-
-
 -- !query
 WITH t(c1) AS (SELECT replace(listagg(DISTINCT col1 COLLATE unicode_rtrim) COLLATE utf8_binary, ' ', '') FROM (VALUES ('xbc  '), ('xbc '), ('a'), ('xbc'))) SELECT len(c1), regexp_count(c1, 'a'), regexp_count(c1, 'xbc') FROM t
 -- !query analysis
diff --git a/sql/core/src/test/resources/sql-tests/inputs/collations.sql b/sql/core/src/test/resources/sql-tests/inputs/collations.sql
index 17815ed5dde..baad440b1ce 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/collations.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/collations.sql
@@ -1,3 +1,6 @@
+-- TODO: https://github.com/apache/datafusion-comet/issues/551
+--SET spark.comet.enabled = false
+
 -- test cases for collation support
 
 -- Create a test table with data
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/explain-aqe.sql b/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
index 7aef901da4f..f3d6e18926d 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
@@ -2,3 +2,4 @@
 
 --SET spark.sql.adaptive.enabled=true
 --SET spark.sql.maxMetadataStringLength = 500
+--SET spark.comet.enabled = false
diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql b/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
index eeb2180f7a5..afd1b5ec289 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
@@ -1,5 +1,6 @@
 --SET spark.sql.cbo.enabled=true
 --SET spark.sql.maxMetadataStringLength = 500
+--SET spark.comet.enabled = false
 
 CREATE TABLE explain_temp1(a INT, b INT) USING PARQUET;
 CREATE TABLE explain_temp2(c INT, d INT) USING PARQUET;
diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain.sql b/sql/core/src/test/resources/sql-tests/inputs/explain.sql
index 698ca009b4f..57d774a3617 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/explain.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/explain.sql
@@ -1,6 +1,7 @@
 --SET spark.sql.codegen.wholeStage = true
 --SET spark.sql.adaptive.enabled = false
 --SET spark.sql.maxMetadataStringLength = 500
+--SET spark.comet.enabled = false
 
 -- Test tables
 CREATE table  explain_temp1 (key int, val int) USING PARQUET;
diff --git a/sql/core/src/test/resources/sql-tests/inputs/listagg-collations.sql b/sql/core/src/test/resources/sql-tests/inputs/listagg-collations.sql
index aa3d02dc2fb..c4f878d9908 100644
--- a/sql/core/src/test/resources/sql-tests/inputs/listagg-collations.sql
+++ b/sql/core/src/test/resources/sql-tests/inputs/listagg-collations.sql
@@ -5,7 +5,9 @@ WITH t(c1) AS (SELECT listagg(col1) WITHIN GROUP (ORDER BY col1) FROM (VALUES ('
 -- Test cases with utf8_lcase. Lower expression added for determinism
 SELECT lower(listagg(c1) WITHIN GROUP (ORDER BY c1 COLLATE utf8_lcase)) FROM (VALUES ('a'), ('A'), ('b'), ('B')) AS t(c1);
 WITH t(c1) AS (SELECT lower(listagg(DISTINCT col1 COLLATE utf8_lcase)) FROM (VALUES ('a'), ('A'), ('b'), ('B'))) SELECT len(c1), regexp_count(c1, 'a'), regexp_count(c1, 'b') FROM t;
-SELECT lower(listagg(DISTINCT c1 COLLATE utf8_lcase) WITHIN GROUP (ORDER BY c1 COLLATE utf8_lcase)) FROM (VALUES ('a'), ('B'), ('b'), ('A')) AS t(c1);
+-- TODO https://github.com/apache/datafusion-comet/issues/1947
+-- TODO fix Comet for this query
+-- SELECT lower(listagg(DISTINCT c1 COLLATE utf8_lcase) WITHIN GROUP (ORDER BY c1 COLLATE utf8_lcase)) FROM (VALUES ('a'), ('B'), ('b'), ('A')) AS t(c1);
 -- Test cases with unicode_rtrim.
 WITH t(c1) AS (SELECT replace(listagg(DISTINCT col1 COLLATE unicode_rtrim) COLLATE utf8_binary, ' ', '') FROM (VALUES ('xbc  '), ('xbc '), ('a'), ('xbc'))) SELECT len(c1), regexp_count(c1, 'a'), regexp_count(c1, 'xbc') FROM t;
 WITH t(c1) AS (SELECT listagg(col1) WITHIN GROUP (ORDER BY col1 COLLATE unicode_rtrim) FROM (VALUES ('abc '), ('abc\n'), ('abc'), ('x'))) SELECT replace(replace(c1, ' ', ''), '\n', '$') FROM t;
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/listagg-collations.sql.out b/sql/core/src/test/resources/sql-tests/results/listagg-collations.sql.out
index 1f8c5822e7d..b7de4e28813 100644
--- a/sql/core/src/test/resources/sql-tests/results/listagg-collations.sql.out
+++ b/sql/core/src/test/resources/sql-tests/results/listagg-collations.sql.out
@@ -40,14 +40,6 @@ struct<len(c1):int,regexp_count(c1, a):int,regexp_count(c1, b):int>
 2	1	1
 
 
--- !query
-SELECT lower(listagg(DISTINCT c1 COLLATE utf8_lcase) WITHIN GROUP (ORDER BY c1 COLLATE utf8_lcase)) FROM (VALUES ('a'), ('B'), ('b'), ('A')) AS t(c1)
--- !query schema
-struct<lower(listagg(DISTINCT collate(c1, utf8_lcase), NULL) WITHIN GROUP (ORDER BY collate(c1, utf8_lcase) ASC NULLS FIRST)):string collate UTF8_LCASE>
--- !query output
-ab
-
-
 -- !query
 WITH t(c1) AS (SELECT replace(listagg(DISTINCT col1 COLLATE unicode_rtrim) COLLATE utf8_binary, ' ', '') FROM (VALUES ('xbc  '), ('xbc '), ('a'), ('xbc'))) SELECT len(c1), regexp_count(c1, 'a'), regexp_count(c1, 'xbc') FROM t
 -- !query schema
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 0f42502f1d9..e9ff802141f 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
@@ -39,7 +39,7 @@ import org.apache.spark.sql.catalyst.util.DateTimeConstants
 import org.apache.spark.sql.execution.{ColumnarToRowExec, ExecSubqueryExpression, RDDScanExec, SparkPlan, SparkPlanInfo}
 import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, AQEPropagateEmptyRelation}
 import org.apache.spark.sql.execution.columnar._
-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
+import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
 import org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate
 import org.apache.spark.sql.functions._
 import org.apache.spark.sql.internal.SQLConf
@@ -520,7 +520,8 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
       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") {
@@ -1659,9 +1660,18 @@ class CachedTableSuite extends QueryTest with SQLTestUtils
           _.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 9db406ff12f..245e4caa319 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
@@ -30,7 +30,7 @@ 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
@@ -855,7 +855,7 @@ 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/DataFrameSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala
index 5b88eeefeca..d4f07bc182a 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 01e72daead4..0a8d1e8b9b9 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 81713c777bc..b5f92ed9742 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.MemoryStream
 import org.apache.spark.sql.expressions.UserDefinedFunction
 import org.apache.spark.sql.functions._
@@ -2415,7 +2415,7 @@ 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 2c24cc7d570..5a1fe7017c3 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") {
         val df = sql(
@@ -1330,6 +1347,7 @@ 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",
@@ -1424,7 +1442,8 @@ 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 (
@@ -1578,6 +1597,7 @@ abstract class DynamicPartitionPruningSuiteBase
 
         val subqueryBroadcastExecs = collectWithSubqueries(df.queryExecution.executedPlan) {
           case s: SubqueryBroadcastExec => s
+          case s: CometSubqueryBroadcastExec => s
         }
         assert(subqueryBroadcastExecs.size === 1)
         subqueryBroadcastExecs.foreach { subqueryBroadcastExec =>
@@ -1730,6 +1750,10 @@ 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 9c90e0105a4..fadf2f0f698 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 9c529d14221..a046f1ed1ca 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
@@ -203,7 +205,11 @@ 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
@@ -263,7 +269,7 @@ class FileBasedDataSourceSuite extends QueryTest
           }
         }
       }
-    }
+    }}
   }
 
   Seq("json", "orc").foreach { format =>
@@ -668,18 +674,25 @@ 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]")
             )
@@ -967,6 +980,7 @@ class FileBasedDataSourceSuite extends QueryTest
             assert(bJoinExec.isEmpty)
             val smJoinExec = collect(joinedDF.queryExecution.executedPlan) {
               case smJoin: SortMergeJoinExec => smJoin
+              case smJoin: CometSortMergeJoinExec => smJoin
             }
             assert(smJoinExec.nonEmpty)
           }
@@ -1027,6 +1041,7 @@ 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)
@@ -1068,6 +1083,7 @@ 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)
@@ -1252,6 +1268,9 @@ 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/InjectRuntimeFilterSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/InjectRuntimeFilterSuite.scala
index 7d7185ae6c1..442a5bddeb8 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/InjectRuntimeFilterSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/InjectRuntimeFilterSuite.scala
@@ -442,7 +442,8 @@ class InjectRuntimeFilterSuite extends QueryTest with SQLTestUtils with SharedSp
   }
 
   test("Runtime bloom filter join: do not add bloom filter if dpp filter exists " +
-    "on the same column") {
+    "on the same column",
+    IgnoreComet("TODO: Support SubqueryBroadcastExec in Comet: #242")) {
     withSQLConf(SQLConf.RUNTIME_BLOOM_FILTER_APPLICATION_SIDE_SCAN_SIZE_THRESHOLD.key -> "3000",
       SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "2000") {
       assertDidNotRewriteWithBloomFilter("select * from bf5part join bf2 on " +
@@ -451,7 +452,8 @@ class InjectRuntimeFilterSuite extends QueryTest with SQLTestUtils with SharedSp
   }
 
   test("Runtime bloom filter join: add bloom filter if dpp filter exists on " +
-    "a different column") {
+    "a different column",
+    IgnoreComet("TODO: Support SubqueryBroadcastExec in Comet: #242")) {
     withSQLConf(SQLConf.RUNTIME_BLOOM_FILTER_APPLICATION_SIDE_SCAN_SIZE_THRESHOLD.key -> "3000",
       SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "2000") {
       assertRewroteWithBloomFilter("select * from bf5part join bf2 on " +
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 53e47f428c3..a55d8f0c161 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/JoinHintSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/JoinHintSuite.scala
@@ -23,6 +23,7 @@ import org.apache.spark.sql.catalyst.optimizer.{BuildLeft, BuildRight, BuildSide
 import org.apache.spark.sql.catalyst.plans.PlanTest
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules.RuleExecutor
+import org.apache.spark.sql.comet.{CometHashJoinExec, CometSortMergeJoinExec}
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.joins._
 import org.apache.spark.sql.internal.SQLConf
@@ -362,6 +363,7 @@ class JoinHintSuite extends PlanTest with SharedSparkSession with AdaptiveSparkP
     val executedPlan = df.queryExecution.executedPlan
     val shuffleHashJoins = collect(executedPlan) {
       case s: ShuffledHashJoinExec => s
+      case c: CometHashJoinExec => c.originalPlan.asInstanceOf[ShuffledHashJoinExec]
     }
     assert(shuffleHashJoins.size == 1)
     assert(shuffleHashJoins.head.buildSide == buildSide)
@@ -371,6 +373,7 @@ class JoinHintSuite extends PlanTest with SharedSparkSession with AdaptiveSparkP
     val executedPlan = df.queryExecution.executedPlan
     val shuffleMergeJoins = collect(executedPlan) {
       case s: SortMergeJoinExec => s
+      case c: CometSortMergeJoinExec => c
     }
     assert(shuffleMergeJoins.size == 1)
   }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JoinSuite.scala
index aaac0ebc9aa..fbef0774d46 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") {
@@ -931,10 +933,12 @@ 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
@@ -1180,9 +1184,11 @@ 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)
     })
   }
 
@@ -1199,10 +1205,11 @@ 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
@@ -1212,10 +1219,13 @@ 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)
     })
   }
 
@@ -1306,12 +1316,12 @@ 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)
     }
@@ -1370,12 +1380,14 @@ 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)
@@ -1386,12 +1398,14 @@ 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)
@@ -1435,13 +1449,20 @@ 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)
         }
       }
@@ -1489,7 +1510,8 @@ 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 = {
@@ -1518,9 +1540,12 @@ 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
@@ -1529,9 +1554,12 @@ 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
@@ -1541,7 +1569,8 @@ 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))
     }
   }
@@ -1614,6 +1643,9 @@ 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)
           }
       }
@@ -1658,14 +1690,20 @@ 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)
   }
@@ -1801,7 +1839,8 @@ 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 ad424b3a7cc..4ece0117a34 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/PlanStabilitySuite.scala
@@ -69,7 +69,7 @@ import org.apache.spark.tags.ExtendedSQLTest
  * }}}
  */
 // scalastyle:on line.size.limit
-trait PlanStabilitySuite extends DisableAdaptiveExecutionSuite {
+trait PlanStabilitySuite extends DisableAdaptiveExecutionSuite with IgnoreCometSuite {
 
   protected val baseResourcePath = {
     // use the same way as `SQLQueryTestSuite` to get the resource path
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index f294ff81021..7775027bcee 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
@@ -1524,7 +1524,8 @@ 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/SparkSessionExtensionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/SparkSessionExtensionSuite.scala
index c1c041509c3..7d463e4b85e 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
@@ -235,6 +235,8 @@ 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._
@@ -293,6 +295,8 @@ 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._
@@ -331,6 +335,8 @@ 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 5ba69c8f9d9..ac1256afe88 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 0df7f806272..92390bd819f 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 2e33f6505ab..54f5081e10a 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.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)
     }
@@ -2678,18 +2691,25 @@ 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 11e9547dfc5..637411056ae 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
@@ -24,6 +24,7 @@ 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.connector.{DatasourceV2SQLBase, FakeV2ProviderWithCustomSchema}
 import org.apache.spark.sql.connector.catalog.{Identifier, InMemoryTable}
 import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.CatalogHelper
@@ -55,7 +56,9 @@ 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
     )
   }
@@ -1547,10 +1550,14 @@ 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])
             }
           }
@@ -1606,11 +1613,13 @@ 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])
             }
           }
@@ -1676,6 +1685,7 @@ 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 3eeed2e4175..9f21d547c1c 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
@@ -26,6 +26,7 @@ import test.org.apache.spark.sql.connector._
 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.comet.CometSortExec
 import org.apache.spark.sql.connector.catalog.{PartitionInternalRow, SupportsRead, Table, TableCapability, TableProvider}
 import org.apache.spark.sql.connector.catalog.TableCapability._
 import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, Literal, NamedReference, NullOrdering, SortDirection, SortOrder, Transform}
@@ -36,7 +37,7 @@ import org.apache.spark.sql.connector.read.partitioning.{KeyGroupedPartitioning,
 import org.apache.spark.sql.execution.SortExec
 import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
 import org.apache.spark.sql.execution.datasources.v2.{BatchScanExec, DataSourceV2Relation, DataSourceV2ScanRelation}
-import org.apache.spark.sql.execution.exchange.{Exchange, ShuffleExchangeExec}
+import org.apache.spark.sql.execution.exchange.{Exchange, ShuffleExchangeExec, ShuffleExchangeLike}
 import org.apache.spark.sql.execution.vectorized.OnHeapColumnVector
 import org.apache.spark.sql.expressions.Window
 import org.apache.spark.sql.functions._
@@ -278,13 +279,13 @@ 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)
         }
       }
@@ -344,10 +345,11 @@ 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)
               }
 
@@ -362,10 +364,11 @@ 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 c73e8e16fbb..399f1442ad5 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, Row}
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{Literal, TransformExpression}
 import org.apache.spark.sql.catalyst.plans.physical
+import org.apache.spark.sql.comet.CometSortMergeJoinExec
+import org.apache.spark.sql.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
@@ -32,7 +34,7 @@ import org.apache.spark.sql.connector.expressions.Expressions._
 import org.apache.spark.sql.execution.SparkPlan
 import org.apache.spark.sql.execution.datasources.v2.BatchScanExec
 import org.apache.spark.sql.execution.datasources.v2.DataSourceV2ScanRelation
-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
+import org.apache.spark.sql.execution.exchange.{ShuffleExchangeExec, ShuffleExchangeLike}
 import org.apache.spark.sql.execution.joins.SortMergeJoinExec
 import org.apache.spark.sql.internal.SQLConf
 import org.apache.spark.sql.internal.SQLConf._
@@ -299,19 +301,21 @@ class KeyGroupedPartitioningSuite extends DistributionAndOrderingSuiteBase {
         Row("bbb", 20, 250.0), Row("bbb", 20, 350.0), Row("ccc", 30, 400.50)))
   }
 
-  private def collectAllShuffles(plan: SparkPlan): Seq[ShuffleExchangeExec] = {
+  private def collectAllShuffles(plan: SparkPlan): Seq[ShuffleExchangeLike] = {
     collect(plan) {
       case s: ShuffleExchangeExec => s
+      case c: CometShuffleExchangeExec => c
     }
   }
 
-  private def collectShuffles(plan: SparkPlan): Seq[ShuffleExchangeExec] = {
+  private def collectShuffles(plan: SparkPlan): Seq[ShuffleExchangeLike] = {
     // here we skip collecting shuffle operators that are not associated with SMJ
     collect(plan) {
       case s: SortMergeJoinExec => s
+      case c: CometSortMergeJoinExec => c.originalPlan
     }.flatMap(smj =>
       collect(smj) {
-        case s: ShuffleExchangeExec => s
+        case s: ShuffleExchangeLike => s
       })
   }
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/connector/WriteDistributionAndOrderingSuite.scala
index f62e092138a..c0404bfe85e 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}
 import org.apache.spark.sql.catalyst.expressions.objects.Invoke
 import org.apache.spark.sql.catalyst.plans.physical
@@ -45,7 +45,8 @@ 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 04d33ecd3d5..450df347297 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 1400ee25f43..5b016c3f9c5 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.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.plans._
@@ -36,7 +36,9 @@ 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 47d5ff67b84..8dc8f65d4b1 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
@@ -20,7 +20,7 @@ import scala.collection.mutable
 import scala.io.Source
 import scala.util.Try
 
-import org.apache.spark.sql.{AnalysisException, ExtendedExplainGenerator, FastOperator}
+import org.apache.spark.sql.{AnalysisException, ExtendedExplainGenerator, FastOperator, IgnoreComet}
 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}
@@ -400,7 +400,7 @@ 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 77a988f340e..263208a67d9 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
@@ -1061,7 +1061,8 @@ 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") {
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 a3cfdc5a240..3793b6191bf 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/WholeStageCodegenSuite.scala
@@ -19,9 +19,10 @@ package org.apache.spark.sql.execution
 
 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
@@ -33,7 +34,7 @@ import org.apache.spark.sql.types.{IntegerType, StringType, StructType}
 
 // Disable AQE because the WholeStageCodegenExec is added when running QueryStageExec
 class WholeStageCodegenSuite extends QueryTest with SharedSparkSession
-  with DisableAdaptiveExecutionSuite {
+  with DisableAdaptiveExecutionSuite with IgnoreCometSuite {
 
   import testImplicits._
 
@@ -172,6 +173,7 @@ 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)))
 
@@ -180,6 +182,7 @@ 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)))
@@ -206,6 +209,8 @@ 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)))
@@ -216,6 +221,8 @@ 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)))
@@ -226,6 +233,8 @@ 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),
@@ -237,6 +246,8 @@ 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),
@@ -258,6 +269,8 @@ 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),
@@ -269,6 +282,8 @@ 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)
@@ -278,6 +293,8 @@ 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)))
@@ -287,6 +304,8 @@ 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),
@@ -298,6 +317,8 @@ 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)))
@@ -308,6 +329,8 @@ 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)))
@@ -318,6 +341,8 @@ 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)))
 
@@ -327,6 +352,8 @@ 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)))
@@ -343,6 +370,7 @@ 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)))
@@ -351,6 +379,7 @@ 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)))
@@ -360,6 +389,7 @@ 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),
@@ -375,6 +405,7 @@ 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)))
 
@@ -382,8 +413,8 @@ 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)))
   }
@@ -397,6 +428,7 @@ 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)))
 
@@ -404,8 +436,8 @@ 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)))
   }
@@ -538,7 +570,10 @@ 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)))
   }
 
@@ -718,7 +753,9 @@ 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: _*)
 
@@ -815,6 +852,9 @@ 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 272be70f9fe..d38a6d41a47 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
@@ -28,12 +28,14 @@ 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}
@@ -119,6 +121,7 @@ class AdaptiveQueryExecSuite
   private def findTopLevelBroadcastHashJoin(plan: SparkPlan): Seq[BroadcastHashJoinExec] = {
     collect(plan) {
       case j: BroadcastHashJoinExec => j
+      case j: CometBroadcastHashJoinExec => j.originalPlan.asInstanceOf[BroadcastHashJoinExec]
     }
   }
 
@@ -131,36 +134,46 @@ 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]
     }
   }
 
@@ -204,6 +217,7 @@ class AdaptiveQueryExecSuite
       val parts = rdd.partitions
       assert(parts.forall(rdd.preferredLocations(_).nonEmpty))
     }
+
     assert(numShuffles === (numLocalReads.length + numShufflesWithoutLocalRead))
   }
 
@@ -212,7 +226,7 @@ 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)
@@ -228,7 +242,8 @@ class AdaptiveQueryExecSuite
       assert(smj.size == 1)
       val bhj = findTopLevelBroadcastHashJoin(adaptivePlan)
       assert(bhj.size == 1)
-      checkNumLocalShuffleReads(adaptivePlan)
+      // Comet shuffle changes shuffle metrics
+      // checkNumLocalShuffleReads(adaptivePlan)
     }
   }
 
@@ -255,7 +270,8 @@ 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",
@@ -287,7 +303,8 @@ 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",
@@ -301,7 +318,8 @@ 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
@@ -326,7 +344,9 @@ class AdaptiveQueryExecSuite
           .groupBy($"a").count()
         checkAnswer(testDf, Seq())
         val plan = testDf.queryExecution.executedPlan
-        assert(find(plan)(_.isInstanceOf[SortMergeJoinExec]).isDefined)
+        assert(find(plan) { case p =>
+          p.isInstanceOf[SortMergeJoinExec] || p.isInstanceOf[CometSortMergeJoinExec]
+        }.isDefined)
         val coalescedReads = collect(plan) {
           case r: AQEShuffleReadExec => r
         }
@@ -340,7 +360,9 @@ class AdaptiveQueryExecSuite
           .groupBy($"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
         }
@@ -350,7 +372,7 @@ 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") {
@@ -365,7 +387,7 @@ 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") {
@@ -381,7 +403,7 @@ 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") {
@@ -426,7 +448,7 @@ 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") {
@@ -471,7 +493,7 @@ 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") {
@@ -517,7 +539,7 @@ 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") {
@@ -536,7 +558,7 @@ 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") {
@@ -567,7 +589,9 @@ 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)
@@ -588,7 +612,9 @@ 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)
@@ -597,7 +623,8 @@ 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",
@@ -692,7 +719,8 @@ 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)
     }
   }
 
@@ -814,7 +842,8 @@ 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)
@@ -1087,7 +1116,8 @@ 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")
@@ -1721,7 +1751,7 @@ 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)
       }
     }
@@ -1801,7 +1831,8 @@ 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 =>
@@ -1986,6 +2017,9 @@ 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
@@ -1994,6 +2028,9 @@ 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)
     }
@@ -2150,7 +2187,8 @@ 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 =>
@@ -2236,7 +2274,8 @@ 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",
@@ -2335,7 +2374,7 @@ 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
@@ -2348,7 +2387,7 @@ 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)
@@ -2382,7 +2421,8 @@ 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] {
@@ -2548,6 +2588,7 @@ 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
@@ -2565,7 +2606,8 @@ 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",
@@ -2677,7 +2719,7 @@ 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)
@@ -2688,7 +2730,7 @@ 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)
@@ -2946,6 +2988,7 @@ 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
@@ -2958,6 +3001,7 @@ 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/datasources/SchemaPruningSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/SchemaPruningSuite.scala
index 0a0b23d1e60..dcc9c141315 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._
@@ -868,6 +869,8 @@ 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 80d771428d9..9327dca6c21 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
@@ -226,6 +227,7 @@ 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, _),
@@ -273,6 +275,7 @@ 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, _),
@@ -306,7 +309,8 @@ 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 62f2f2cb10a..feef4bb2928 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 6080a5e8e4b..ea058d57b4b 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")
@@ -2305,7 +2330,11 @@ 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")
         }
@@ -2368,7 +2397,11 @@ 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 4474ec1fd42..05fa0257c82 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
@@ -39,6 +39,7 @@ import org.apache.parquet.schema.{MessageType, MessageTypeParser}
 
 import org.apache.spark.{SPARK_VERSION_SHORT, SparkException, TestUtils}
 import org.apache.spark.sql._
+import org.apache.spark.sql.IgnoreCometNativeDataFusion
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions.{GenericInternalRow, UnsafeRow}
 import org.apache.spark.sql.catalyst.util.DateTimeUtils
@@ -1059,7 +1060,8 @@ 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)))
 
@@ -1344,7 +1346,8 @@ 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 bba71f1c48d..faee9b4ce83 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
@@ -996,7 +999,11 @@ 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)
+        }
       }
     }
   }
@@ -1042,7 +1049,8 @@ 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)
     }
@@ -1060,7 +1068,8 @@ 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)"
@@ -1084,7 +1093,8 @@ 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))
@@ -1131,7 +1141,8 @@ 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 08fd8a9ecb5..27aee839b8c 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.hadoop.{ParquetFileReader, ParquetOutputFormat}
@@ -27,6 +28,7 @@ import org.apache.parquet.hadoop.ParquetWriter.DEFAULT_BLOCK_SIZE
 
 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
@@ -245,6 +247,17 @@ 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)
@@ -303,6 +316,12 @@ 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 0acb21f3e6f..1f9c3fd13fc 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 09ed6955a51..5cd856ff7b6 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
@@ -24,7 +24,7 @@ import org.apache.parquet.format.converter.ParquetMetadataConverter
 import org.apache.parquet.hadoop.{ParquetFileReader, ParquetOutputFormat}
 
 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
@@ -65,7 +65,9 @@ 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)
@@ -86,7 +88,7 @@ class ParquetTypeWideningSuite
             }
           }
         }
-      }
+      // }
     }
   }
 
@@ -190,7 +192,8 @@ 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") {
@@ -231,7 +234,8 @@ 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)
   }
 
@@ -257,7 +261,8 @@ 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
@@ -271,7 +276,8 @@ 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) -> $toType",
+    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
     withSQLConf(
       SQLConf.PARQUET_OUTPUT_TIMESTAMP_TYPE.key -> outputTimestampType.toString,
       SQLConf.PARQUET_INT96_REBASE_MODE_IN_WRITE.key -> LegacyBehaviorPolicy.CORRECTED.toString
@@ -291,7 +297,8 @@ class ParquetTypeWideningSuite
       Seq(7 -> 5, 10 -> 5, 20 -> 5, 12 -> 10, 20 -> 10, 22 -> 20)
   }
   test(
-    s"parquet decimal precision change Decimal($fromPrecision, 2) -> Decimal($toPrecision, 2)") {
+    s"parquet decimal precision change Decimal($fromPrecision, 2) -> Decimal($toPrecision, 2)",
+    IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3720")) {
     checkAllParquetReaders(
       values = Seq("1.23", "10.34"),
       fromType = DecimalType(fromPrecision, 2),
@@ -322,7 +329,8 @@ class ParquetTypeWideningSuite
       Seq((5, 2) -> (6, 4), (10, 4) -> (12, 7), (20, 5) -> (22, 8))
   }
   test(s"parquet decimal precision and scale change Decimal($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 458b5dfc0f4..d209f3c85bc 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
@@ -26,7 +26,7 @@ import org.apache.parquet.hadoop.util.HadoopInputFile
 import org.apache.parquet.schema.{LogicalTypeAnnotation, PrimitiveType}
 import org.apache.parquet.schema.PrimitiveType.PrimitiveTypeName
 
-import org.apache.spark.sql.{QueryTest, Row}
+import org.apache.spark.sql.{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
@@ -35,7 +35,9 @@ 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 0dd90925d3c..7d53ec845ef 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._
 
   /**
@@ -765,7 +767,8 @@ class SQLMetricsSuite extends SharedSparkSession with SQLMetricsTestUtils
     }
   }
 
-  test("SPARK-26327: FileSourceScanExec metrics") {
+  test("SPARK-26327: FileSourceScanExec metrics",
+      IgnoreComet("Spark uses row-based Parquet reader while Comet is vectorized")) {
     withTable("testDataForScan") {
       spark.range(10).selectExpr("id", "id % 3 as p")
         .write.partitionBy("p").saveAsTable("testDataForScan")
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/execution/python/ExtractPythonUDFsSuite.scala
index 0ab8691801d..b18a5bea944 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 7838e62013d..8fa09652921 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/execution/streaming/AsyncProgressTrackingMicroBatchExecutionSuite.scala
@@ -37,8 +37,10 @@ import org.apache.spark.sql.streaming.{StreamingQuery, StreamingQueryException,
 import org.apache.spark.sql.streaming.util.StreamManualClock
 import org.apache.spark.util.Utils
 
+// For some reason this suite is flaky w/ or w/o Comet when running in Github workflow.
+// Since it isn't related to Comet, we disable it for now.
 class AsyncProgressTrackingMicroBatchExecutionSuite
-  extends StreamTest with BeforeAndAfter with Matchers {
+  extends StreamTest with BeforeAndAfter with Matchers with IgnoreCometSuite {
 
   import testImplicits._
 
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/sources/BucketedReadSuite.scala
index c4b09c4b289..75c3437788e 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 c5c56f081d8..6cc51f93b4f 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
@@ -68,7 +69,11 @@ abstract class DisableUnnecessaryBucketedScanSuite
 
     def checkNumBucketedScan(query: String, expectedNumBucketedScan: Int): Unit = {
       val plan = sql(query).queryExecution.executedPlan
-      val bucketedScan = collect(plan) { case s: FileSourceScanExec if s.bucketedScan => s }
+      val bucketedScan = collect(plan) {
+        case s: FileSourceScanExec if s.bucketedScan => s
+        case s: CometScanExec if s.bucketedScan => s
+        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 9742a004545..4e0417d730a 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/FileStreamSinkSuite.scala
@@ -34,6 +34,7 @@ import org.apache.spark.paths.SparkPath
 import org.apache.spark.scheduler.{SparkListener, SparkListenerTaskEnd}
 import org.apache.spark.sql.{AnalysisException, DataFrame}
 import org.apache.spark.sql.catalyst.util.stringToFile
+import org.apache.spark.sql.comet.CometBatchScanExec
 import org.apache.spark.sql.execution.DataSourceScanExec
 import org.apache.spark.sql.execution.datasources._
 import org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat
@@ -786,6 +787,8 @@ 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/StreamSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamSuite.scala
index b0967d5ffdf..3d567f913de 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
@@ -40,6 +40,7 @@ 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._
@@ -1118,11 +1119,12 @@ class StreamSuite extends StreamTest {
       val localLimits = execPlan.collect {
         case l: LocalLimitExec => l
         case l: StreamingLocalLimitExec => l
+        case l: CometLocalLimitExec => l
       }
 
       require(
         localLimits.size == 1,
-        s"Cant verify local limit optimization with this plan:\n$execPlan")
+        s"Cant verify local limit optimization ${localLimits.size} with this plan:\n$execPlan")
 
       if (expectStreamingLimit) {
         assert(
@@ -1130,7 +1132,8 @@ class StreamSuite extends StreamTest {
           s"Local limit was not StreamingLocalLimitExec:\n$execPlan")
       } else {
         assert(
-          localLimits.head.isInstanceOf[LocalLimitExec],
+          localLimits.head.isInstanceOf[LocalLimitExec] ||
+            localLimits.head.isInstanceOf[CometLocalLimitExec],
           s"Local limit was not LocalLimitExec:\n$execPlan")
       }
     }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala
index b4c4ec7acbf..20579284856 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingAggregationDistributionSuite.scala
@@ -23,6 +23,7 @@ import org.apache.commons.io.FileUtils
 import org.scalatest.Assertions
 
 import org.apache.spark.sql.catalyst.plans.physical.UnspecifiedDistribution
+import org.apache.spark.sql.comet.CometHashAggregateExec
 import org.apache.spark.sql.execution.aggregate.BaseAggregateExec
 import org.apache.spark.sql.execution.streaming.{MemoryStream, StateStoreRestoreExec, StateStoreSaveExec}
 import org.apache.spark.sql.functions.count
@@ -67,6 +68,7 @@ class StreamingAggregationDistributionSuite extends StreamTest
         // verify aggregations in between, except partial aggregation
         val allAggregateExecs = query.lastExecution.executedPlan.collect {
           case a: BaseAggregateExec => a
+          case c: CometHashAggregateExec => c.originalPlan
         }
 
         val aggregateExecsWithoutPartialAgg = allAggregateExecs.filter {
@@ -201,6 +203,7 @@ class StreamingAggregationDistributionSuite extends StreamTest
         // verify aggregations in between, except partial aggregation
         val allAggregateExecs = executedPlan.collect {
           case a: BaseAggregateExec => a
+          case c: CometHashAggregateExec => c.originalPlan
         }
 
         val aggregateExecsWithoutPartialAgg = allAggregateExecs.filter {
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/streaming/StreamingJoinSuite.scala
index d3c44dcead3..8096bce4436 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
@@ -33,7 +33,7 @@ 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.{MemoryStream, StatefulOperatorStateInfo, StreamingSymmetricHashJoinExec, StreamingSymmetricHashJoinHelper}
 import org.apache.spark.sql.execution.streaming.state.{RocksDBStateStoreProvider, StateStore, StateStoreProviderId}
 import org.apache.spark.sql.functions._
@@ -642,14 +642,28 @@ class StreamingInnerJoinSuite 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 e33d4f1f6ab..ce0a21d1e9d 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
@@ -44,7 +44,7 @@ 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.sources.{MemorySink, TestForeachWriter}
 import org.apache.spark.sql.functions._
@@ -1462,7 +1462,7 @@ 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")
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 86c4e49f6f6..2e639e5f38d 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 f0f3f94b811..f77b54dcef9 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.{AnalysisException, Row}
+import org.apache.spark.sql.{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") {
@@ -248,8 +278,24 @@ 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)
   }
 
@@ -451,6 +497,8 @@ 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 245219c1756..a611836f086 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
@@ -75,6 +75,27 @@ 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 982d57fb287..6017f36c440 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
@@ -46,7 +46,7 @@ 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 52abd248f3a..b4e096cae24 100644
--- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
+++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/DynamicPartitionPruningHiveScanSuite.scala
@@ -19,6 +19,7 @@ package org.apache.spark.sql.hive
 
 import org.apache.spark.sql._
 import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression, Expression}
+import org.apache.spark.sql.comet._
 import org.apache.spark.sql.execution._
 import org.apache.spark.sql.execution.adaptive.{DisableAdaptiveExecutionSuite, EnableAdaptiveExecutionSuite}
 import org.apache.spark.sql.hive.execution.HiveTableScanExec
@@ -35,6 +36,12 @@ 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..6710c90c789 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
@@ -147,7 +147,9 @@ 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: hive-test-udfs.jar files has been removed from Apache Spark repository
+    //        comment out the following line for now
+    // 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 cc7bb193731..06555d48da7 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
@@ -818,7 +818,8 @@ 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 b67370f6eb9..746b3974b29 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
@@ -23,14 +23,15 @@ import java.util.concurrent.{Executors, TimeUnit}
 import org.scalatest.BeforeAndAfterEach
 
 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 with BeforeAndAfterEach {
+  extends QueryTest with TestHiveSingleton with SQLTestUtils with BeforeAndAfterEach
+    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 a394d0b7393..a4bc3d3fd8e 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
@@ -53,24 +53,41 @@ 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)