andygrove commented on code in PR #4093:
URL: https://github.com/apache/datafusion-comet/pull/4093#discussion_r3174800960
##########
dev/diffs/4.1.1.diff:
##########
@@ -0,0 +1,4326 @@
+diff --git
a/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
b/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
+index 6df8bc85b51..dabb75e2b75 100644
+--- a/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
++++ b/core/src/test/scala/org/apache/spark/storage/FallbackStorageSuite.scala
+@@ -268,6 +268,11 @@ class FallbackStorageSuite extends SparkFunSuite with
LocalSparkContext {
+ }
+
+ test("Upload from all decommissioned executors") {
++ // Comet replaces Spark's shuffle with its own native shuffle, which is
incompatible with
++ // the fallback storage migration path used by BlockManagerDecommissioner.
++ val cometEnv = System.getenv("ENABLE_COMET")
++ assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
++ "Skipped when Comet is enabled: incompatible with Comet native shuffle
storage")
+ sc = new SparkContext(getSparkConf(2, 2))
+ withSpark(sc) { sc =>
+ TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
+@@ -298,6 +303,11 @@ class FallbackStorageSuite extends SparkFunSuite with
LocalSparkContext {
+ }
+
+ test("Upload multi stages") {
++ // Comet replaces Spark's shuffle with its own native shuffle, which is
incompatible with
++ // the fallback storage migration path used by BlockManagerDecommissioner.
++ val cometEnv = System.getenv("ENABLE_COMET")
++ assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
++ "Skipped when Comet is enabled: incompatible with Comet native shuffle
storage")
+ sc = new SparkContext(getSparkConf())
+ withSpark(sc) { sc =>
+ TestUtils.waitUntilExecutorsUp(sc, 1, 60000)
+@@ -332,6 +342,11 @@ class FallbackStorageSuite extends SparkFunSuite with
LocalSparkContext {
+
+ CompressionCodec.shortCompressionCodecNames.keys.foreach { codec =>
+ test(s"$codec - Newly added executors should access old data from remote
storage") {
++ // Comet replaces Spark's shuffle with its own native shuffle, which is
incompatible with
++ // the fallback storage migration path used by
BlockManagerDecommissioner.
++ val cometEnv = System.getenv("ENABLE_COMET")
++ assume(cometEnv == null || cometEnv == "0" || cometEnv == "false",
++ "Skipped when Comet is enabled: incompatible with Comet native
shuffle storage")
+ sc = new SparkContext(getSparkConf(2, 0).set(IO_COMPRESSION_CODEC,
codec))
+ withSpark(sc) { sc =>
+ TestUtils.waitUntilExecutorsUp(sc, 2, 60000)
+diff --git a/pom.xml b/pom.xml
+index dc757d78812..18841e95f3d 100644
+--- a/pom.xml
++++ b/pom.xml
+@@ -152,6 +152,8 @@
+ <kryo.version>4.0.3</kryo.version>
+ <ivy.version>2.5.3</ivy.version>
+ <oro.version>2.0.8</oro.version>
++ <spark.version.short>4.1</spark.version.short>
++ <comet.version>0.16.0-SNAPSHOT</comet.version>
+ <!--
+ If you change codahale.metrics.version, you also need to change
+ the link to metrics.dropwizard.io in docs/monitoring.md.
+@@ -2594,6 +2596,25 @@
+ <artifactId>arpack</artifactId>
+ <version>${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 d2d07a08aa9..d89f80e5b68 100644
+--- a/sql/core/pom.xml
++++ b/sql/core/pom.xml
+@@ -97,6 +97,10 @@
+ <groupId>org.apache.spark</groupId>
+ <artifactId>spark-tags_${scala.binary.version}</artifactId>
+ </dependency>
++ <dependency>
++ <groupId>org.apache.datafusion</groupId>
++
<artifactId>comet-spark-spark${spark.version.short}_${scala.binary.version}</artifactId>
++ </dependency>
+
+ <!--
+ This spark-tags test-dep is needed even though it isn't used in this
module, otherwise testing-cmds that exclude
+diff --git
a/sql/core/src/main/scala/org/apache/spark/sql/classic/SparkSession.scala
b/sql/core/src/main/scala/org/apache/spark/sql/classic/SparkSession.scala
+index c47e8454162..758d80a0bcb 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
+@@ -1218,6 +1218,23 @@ 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.
+@@ -1227,7 +1244,8 @@ object SparkSession extends SparkSessionCompanion with
Logging {
+ extensions: SparkSessionExtensions): SparkSessionExtensions = {
+ val extensionConfClassNames =
sparkContext.conf.get(StaticSQLConf.SPARK_SESSION_EXTENSIONS)
+ .getOrElse(Seq.empty)
+- extensionConfClassNames.foreach { extensionConfClassName =>
++ val extensionClassNames = extensionConfClassNames ++
loadCometExtension(sparkContext)
++ extensionClassNames.foreach { extensionConfClassName =>
+ try {
+ val extensionConfClass = Utils.classForName(extensionConfClassName)
+ val extensionConf = extensionConfClass.getConstructor().newInstance()
+diff --git
a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
+index 4410fe50912..43bcce2a038 100644
+---
a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
++++
b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkPlanInfo.scala
+@@ -19,6 +19,7 @@ package org.apache.spark.sql.execution
+
+ import org.apache.spark.annotation.DeveloperApi
+ import org.apache.spark.sql.catalyst.plans.logical.{EmptyRelation,
LogicalPlan}
++import org.apache.spark.sql.comet.CometScanExec
+ import org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanExec,
QueryStageExec}
+ import org.apache.spark.sql.execution.adaptive.LogicalQueryStage
+ import org.apache.spark.sql.execution.columnar.InMemoryTableScanExec
+@@ -84,6 +85,7 @@ private[execution] object SparkPlanInfo {
+ // dump the file scan metadata (e.g file path) to event log
+ val metadata = plan match {
+ case fileScan: FileSourceScanLike => fileScan.metadata
++ case cometScan: CometScanExec => cometScan.metadata
+ case _ => Map[String, String]()
+ }
+ val childrenInfo = children.flatMap {
+diff --git
a/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
b/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
+index 69b4001ff34..6fda691652d 100644
+---
a/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
++++
b/sql/core/src/test/resources/sql-tests/analyzer-results/intersect-all.sql.out
+@@ -1,7 +1,7 @@
+ -- Automatically generated by SQLQueryTestSuite
+ -- !query
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+- (1, 2),
++ (1, 2),
+ (1, 2),
+ (1, 3),
+ (1, 3),
+@@ -11,7 +11,7 @@ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+ AS tab1(k, v)
+ -- !query analysis
+ CreateViewCommand `tab1`, SELECT * FROM VALUES
+- (1, 2),
++ (1, 2),
+ (1, 2),
+ (1, 3),
+ (1, 3),
+@@ -26,8 +26,8 @@ CreateViewCommand `tab1`, SELECT * FROM VALUES
+
+ -- !query
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+- (1, 2),
+- (1, 2),
++ (1, 2),
++ (1, 2),
+ (2, 3),
+ (3, 4),
+ (null, null),
+@@ -35,8 +35,8 @@ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+ AS tab2(k, v)
+ -- !query analysis
+ CreateViewCommand `tab2`, SELECT * FROM VALUES
+- (1, 2),
+- (1, 2),
++ (1, 2),
++ (1, 2),
+ (2, 3),
+ (3, 4),
+ (null, null),
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
b/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
+index 13bbd9d81b7..541cdfb1e04 100644
+---
a/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
++++
b/sql/core/src/test/resources/sql-tests/inputs/decimalArithmeticOperations.sql
+@@ -15,6 +15,12 @@
+ -- limitations under the License.
+ --
+
++-- TODO: Disabled due to one of the test failed for Spark4.0
++-- TODO: https://github.com/apache/datafusion-comet/issues/1948
++-- The following query failed
++-- select /*+ COALESCE(1) */ id, a+b, a-b, a*b, a/b from decimals_test order
by id
++--SET spark.comet.enabled = false
++
+ CREATE TEMPORARY VIEW t AS SELECT 1.0 as a, 0.0 as b;
+
+ -- division, remainder and pmod by 0 return NULL
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
b/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
+index e28f0721a64..788b43c242a 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/except-all.sql
+@@ -1,3 +1,7 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4122)
++-- EXCEPT ALL with GROUP BY returns incorrect results on Spark 4.1
++--SET spark.comet.enabled = false
++
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+ (0), (1), (2), (2), (2), (2), (3), (null), (null) AS tab1(c1);
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
b/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
+index 7aef901da4f..f3d6e18926d 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/explain-aqe.sql
+@@ -2,3 +2,4 @@
+
+ --SET spark.sql.adaptive.enabled=true
+ --SET spark.sql.maxMetadataStringLength = 500
++--SET spark.comet.enabled = false
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
b/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
+index eeb2180f7a5..afd1b5ec289 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/explain-cbo.sql
+@@ -1,5 +1,6 @@
+ --SET spark.sql.cbo.enabled=true
+ --SET spark.sql.maxMetadataStringLength = 500
++--SET spark.comet.enabled = false
+
+ CREATE TABLE explain_temp1(a INT, b INT) USING PARQUET;
+ CREATE TABLE explain_temp2(c INT, d INT) USING PARQUET;
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/explain.sql
b/sql/core/src/test/resources/sql-tests/inputs/explain.sql
+index 96dddafd82a..efedbbb3c0e 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/explain.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/explain.sql
+@@ -1,6 +1,7 @@
+ --SET spark.sql.codegen.wholeStage = true
+ --SET spark.sql.adaptive.enabled = false
+ --SET spark.sql.maxMetadataStringLength = 500
++--SET spark.comet.enabled = false
+
+ -- Test tables
+ CREATE table explain_temp1 (key int, val int) USING PARQUET;
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
b/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
+index 1f53ca359fe..0f572f7c6ce 100644
+---
a/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
++++
b/sql/core/src/test/resources/sql-tests/inputs/having-and-order-by-recursive-type-name-resolution.sql
+@@ -1,3 +1,7 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4123)
++-- Comet native sort lacks row-format support for Struct(Map(...)) sort keys
++--SET spark.comet.enabled = false
++
+ -- This test file contains queries that test recursive types name resolution
in ORDER BY and HAVING clauses.
+
+ -- Alias type: String, Table column type: Struct
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/hll.sql
b/sql/core/src/test/resources/sql-tests/inputs/hll.sql
+index 35128da97fd..25b873ae859 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/hll.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/hll.sql
+@@ -1,3 +1,8 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4121)
++-- Comet's native scan rejects invalid UTF-8 byte sequences inserted into the
++-- string test table, which Spark allows.
++--SET spark.comet.enabled = false
++
+ -- Positive test cases
+ -- Create a table with some testing data.
+ DROP TABLE IF EXISTS t1;
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
b/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
+index 077caa5dd44..697457d4251 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/intersect-all.sql
+@@ -1,5 +1,9 @@
++-- TODO(https://github.com/apache/datafusion-comet/issues/4122)
++-- INTERSECT ALL with GROUP BY returns incorrect results on Spark 4.1
++--SET spark.comet.enabled = false
++
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+- (1, 2),
++ (1, 2),
+ (1, 2),
+ (1, 3),
+ (1, 3),
+@@ -8,8 +12,8 @@ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+ (null, null)
+ AS tab1(k, v);
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+- (1, 2),
+- (1, 2),
++ (1, 2),
++ (1, 2),
+ (2, 3),
+ (3, 4),
+ (null, null),
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
+index 41fd4de2a09..162d5a817b6 100644
+---
a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
++++
b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/aggregates_part3.sql
+@@ -6,6 +6,10 @@
+ --
https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/aggregates.sql#L352-L605
+
+ -- Test aggregate operator with codegen on and off.
++
++-- Floating-point precision difference between DataFusion and JVM for FILTER
aggregates
++--SET spark.comet.enabled = false
++
+ --CONFIG_DIM1 spark.sql.codegen.wholeStage=true
+ --CONFIG_DIM1
spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=CODEGEN_ONLY
+ --CONFIG_DIM1
spark.sql.codegen.wholeStage=false,spark.sql.codegen.factoryMode=NO_CODEGEN
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
+index 3a409eea348..26e9aaf215c 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int4.sql
+@@ -6,6 +6,9 @@
+ --
https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/int4.sql
+ --
+
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ CREATE TABLE INT4_TBL(f1 int) USING parquet;
+
+ -- [SPARK-28023] Trim the string when cast string type to other types
+diff --git a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
+index fac23b4a26f..98b12ae5ccc 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/int8.sql
+@@ -6,6 +6,10 @@
+ -- Test int8 64-bit integers.
+ --
https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/int8.sql
+ --
++
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ CREATE TABLE INT8_TBL(q1 bigint, q2 bigint) USING parquet;
+
+ -- PostgreSQL implicitly casts string literals to data with integral types,
but
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
+index 0efe0877e9b..f9df0400c99 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/postgreSQL/select_having.sql
+@@ -6,6 +6,9 @@
+ --
https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/select_having.sql
+ --
+
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ -- load test data
+ CREATE TABLE test_having (a int, b int, c string, d string) USING parquet;
+ INSERT INTO test_having VALUES (0, 1, 'XXXX', 'A');
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
+index 7c816d8a416..b1551a2b296 100644
+---
a/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
++++
b/sql/core/src/test/resources/sql-tests/inputs/subquery/in-subquery/in-limit.sql
+@@ -1,6 +1,23 @@
+ -- A test suite for IN LIMIT in parent side, subquery, and both predicate
subquery
+ -- It includes correlated cases.
+
++-- TODO: Disabled due to one of the test failed for Spark4.0
++-- TODO: https://github.com/apache/datafusion-comet/issues/1948
++-- The following query failed
++-- SELECT Count(DISTINCT( t1a )),
++-- t1b
++-- FROM t1
++-- WHERE t1d NOT IN (SELECT t2d
++-- FROM t2
++-- WHERE t2b > t1b
++-- ORDER BY t2b DESC nulls first, t2d
++-- LIMIT 1
++-- OFFSET 1)
++-- GROUP BY t1b
++-- ORDER BY t1b NULLS last
++-- LIMIT 1
++-- OFFSET 1;
++--SET spark.comet.enabled = false
+ --CONFIG_DIM1 spark.sql.optimizeNullAwareAntiJoin=true
+ --CONFIG_DIM1 spark.sql.optimizeNullAwareAntiJoin=false
+
+@@ -61,6 +78,7 @@ WHERE t1a IN (SELECT t2a
+ WHERE t1d = t2d)
+ LIMIT 2;
+
++--SET spark.sql.cbo.enabled=true
+ -- correlated IN subquery
+ -- LIMIT on both parent and subquery sides
+ SELECT *
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
b/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
+index e803254ea64..74db78aee38 100644
+---
a/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
++++
b/sql/core/src/test/resources/sql-tests/inputs/view-schema-binding-config.sql
+@@ -1,6 +1,9 @@
+ -- This test suits check the spark.sql.viewSchemaBindingMode configuration.
+ -- It can be DISABLED and COMPENSATION
+
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ -- Verify the default binding is true
+ SET spark.sql.legacy.viewSchemaBindingMode;
+
+diff --git
a/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
b/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
+index 21a3ce1e122..f4762ab98f0 100644
+--- a/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
++++ b/sql/core/src/test/resources/sql-tests/inputs/view-schema-compensation.sql
+@@ -1,5 +1,9 @@
+ -- This test suite checks the WITH SCHEMA COMPENSATION clause
+ -- Disable ANSI mode to ensure we are forcing it explicitly in the CASTS
++
++-- TODO: https://github.com/apache/datafusion-comet/issues/551
++--SET spark.comet.enabled = false
++
+ SET spark.sql.ansi.enabled = false;
+
+ -- In COMPENSATION views get invalidated if the type can't cast
+diff --git
a/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
b/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
+index 44f95f225ab..361866fc298 100644
+--- a/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
++++ b/sql/core/src/test/resources/sql-tests/results/intersect-all.sql.out
+@@ -1,7 +1,7 @@
+ -- Automatically generated by SQLQueryTestSuite
+ -- !query
+ CREATE TEMPORARY VIEW tab1 AS SELECT * FROM VALUES
+- (1, 2),
++ (1, 2),
+ (1, 2),
+ (1, 3),
+ (1, 3),
+@@ -17,8 +17,8 @@ struct<>
+
+ -- !query
+ CREATE TEMPORARY VIEW tab2 AS SELECT * FROM VALUES
+- (1, 2),
+- (1, 2),
++ (1, 2),
++ (1, 2),
+ (2, 3),
+ (3, 4),
+ (null, null),
+diff --git
a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
+index 0d807aeae4d..6d7744e771b 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/CachedTableSuite.scala
+@@ -49,7 +49,7 @@ import
org.apache.spark.sql.execution.adaptive.{AdaptiveSparkPlanHelper, AQEProp
+ import org.apache.spark.sql.execution.columnar._
+ import org.apache.spark.sql.execution.command.CommandUtils
+ import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
+-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
++import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
+ import
org.apache.spark.sql.execution.ui.SparkListenerSQLAdaptiveExecutionUpdate
+ import org.apache.spark.sql.functions._
+ import org.apache.spark.sql.internal.SQLConf
+@@ -534,7 +534,8 @@ class CachedTableSuite extends QueryTest 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") {
+@@ -1673,9 +1674,18 @@ 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 0dfd37ebeae..66340218c7c 100644
+---
a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
++++
b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameAggregateSuite.scala
+@@ -31,7 +31,7 @@ import org.apache.spark.sql.errors.DataTypeErrors.toSQLId
+ import org.apache.spark.sql.execution.WholeStageCodegenExec
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+ import org.apache.spark.sql.execution.aggregate.{HashAggregateExec,
ObjectHashAggregateExec, SortAggregateExec}
+-import org.apache.spark.sql.execution.exchange.ShuffleExchangeExec
++import org.apache.spark.sql.execution.exchange.ShuffleExchangeLike
+ import org.apache.spark.sql.expressions.Window
+ import org.apache.spark.sql.functions._
+ import org.apache.spark.sql.internal.SQLConf
+@@ -856,7 +856,7 @@ class DataFrameAggregateSuite extends QueryTest
+ assert(objHashAggPlans.nonEmpty)
+
+ val exchangePlans = collect(aggPlan) {
+- case shuffle: ShuffleExchangeExec => shuffle
++ case shuffle: ShuffleExchangeLike => shuffle
+ }
+ assert(exchangePlans.length == 1)
+ }
+diff --git
a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
+index ed182322aec..1ae6afa686a 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameJoinSuite.scala
+@@ -435,7 +435,9 @@ class DataFrameJoinSuite extends QueryTest
+
+ withTempDatabase { dbName =>
+ withTable(table1Name, table2Name) {
+- withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1") {
++ withSQLConf(
++ SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
++ "spark.comet.enabled" -> "false") {
+ spark.range(50).write.saveAsTable(s"$dbName.$table1Name")
+ spark.range(100).write.saveAsTable(s"$dbName.$table2Name")
+
+diff --git
a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
+index 93ff7becaec..7b2871cc656 100644
+---
a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
++++
b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameSetOperationsSuite.scala
+@@ -20,6 +20,7 @@ package org.apache.spark.sql
+ import java.sql.{Date, Timestamp}
+ import java.util.Locale
+
++import org.apache.spark.sql.IgnoreComet
+ import org.apache.spark.sql.catalyst.optimizer.RemoveNoopUnion
+ import org.apache.spark.sql.catalyst.plans.logical.Union
+ import org.apache.spark.sql.catalyst.plans.physical.UnknownPartitioning
+@@ -1511,7 +1512,8 @@ class DataFrameSetOperationsSuite extends QueryTest
+ }
+ }
+
+- test("SPARK-52921: union partitioning - reused shuffle") {
++ test("SPARK-52921: union partitioning - reused shuffle",
++ IgnoreComet("https://github.com/apache/datafusion-comet/issues/4098";)) {
+ withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "false") {
+ val df1 = Seq((1, 2, 4), (1, 3, 5), (2, 2, 3), (2, 4, 5)).toDF("a",
"b", "c")
+ val df2 = Seq((1, 2, 4), (1, 3, 5), (2, 2, 3), (2, 4, 5)).toDF("a",
"b", "c")
+@@ -1538,7 +1540,8 @@ class DataFrameSetOperationsSuite extends QueryTest
+ }
+ }
+
+- test("SPARK-52921: union partitioning - semantic equality") {
++ test("SPARK-52921: union partitioning - semantic equality",
++ IgnoreComet("https://github.com/apache/datafusion-comet/issues/4098";)) {
+ val df1 = Seq((1, 2, 4), (1, 3, 5), (2, 2, 3), (2, 4, 5)).toDF("a", "b",
"c")
+ val df2 = Seq((4, 1, 5), (2, 4, 6), (1, 4, 2), (3, 5, 1)).toDF("d", "e",
"f")
+
+@@ -1589,7 +1592,8 @@ class DataFrameSetOperationsSuite extends QueryTest
+ }
+ }
+
+- test("SPARK-52921: union partitioning - range partitioning") {
++ test("SPARK-52921: union partitioning - range partitioning",
++ IgnoreComet("https://github.com/apache/datafusion-comet/issues/4098";)) {
+ val df1 = Seq((1, 2, 4), (1, 3, 5), (2, 2, 3), (2, 4, 5)).toDF("a", "b",
"c")
+ val df2 = Seq((4, 1, 5), (2, 4, 6), (1, 4, 2), (3, 5, 1)).toDF("d", "e",
"f")
+
+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 6e9f3385571..15615f3e417 100644
+---
a/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
++++
b/sql/core/src/test/scala/org/apache/spark/sql/DataFrameWindowFunctionsSuite.scala
+@@ -24,8 +24,9 @@ import
org.apache.spark.sql.catalyst.expressions.{AttributeReference, Expression
+ import org.apache.spark.sql.catalyst.optimizer.TransposeWindow
+ import org.apache.spark.sql.catalyst.plans.logical.{Window => LogicalWindow}
+ import org.apache.spark.sql.catalyst.plans.physical.HashPartitioning
++import org.apache.spark.sql.comet.execution.shuffle.CometShuffleExchangeExec
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+-import org.apache.spark.sql.execution.exchange.{ENSURE_REQUIREMENTS,
Exchange, ShuffleExchangeExec}
++import org.apache.spark.sql.execution.exchange.{ENSURE_REQUIREMENTS,
Exchange, ShuffleExchangeExec, ShuffleExchangeLike}
+ import org.apache.spark.sql.execution.window.WindowExec
+ import org.apache.spark.sql.expressions.{Aggregator,
MutableAggregationBuffer, UserDefinedAggregateFunction, Window}
+ import org.apache.spark.sql.functions._
+@@ -1142,10 +1143,12 @@ class DataFrameWindowFunctionsSuite extends QueryTest
+ }
+
+ def isShuffleExecByRequirement(
+- plan: ShuffleExchangeExec,
++ plan: ShuffleExchangeLike,
+ desiredClusterColumns: Seq[String]): Boolean = plan match {
+ case ShuffleExchangeExec(op: HashPartitioning, _, ENSURE_REQUIREMENTS,
_) =>
+ partitionExpressionsColumns(op.expressions) === desiredClusterColumns
++ case CometShuffleExchangeExec(op: HashPartitioning, _, _,
ENSURE_REQUIREMENTS, _, _) =>
++ partitionExpressionsColumns(op.expressions) === desiredClusterColumns
+ case _ => false
+ }
+
+@@ -1168,7 +1171,7 @@ class DataFrameWindowFunctionsSuite extends QueryTest
+ val shuffleByRequirement = windowed.queryExecution.executedPlan.exists {
+ case w: WindowExec =>
+ w.child.exists {
+- case s: ShuffleExchangeExec => isShuffleExecByRequirement(s,
Seq("key1", "key2"))
++ case s: ShuffleExchangeLike => isShuffleExecByRequirement(s,
Seq("key1", "key2"))
+ case _ => false
+ }
+ case _ => false
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+index 6df8d66ee7f..35e270c7241 100644
+--- a/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
++++ b/sql/core/src/test/scala/org/apache/spark/sql/DatasetSuite.scala
+@@ -46,7 +46,7 @@ import
org.apache.spark.sql.catalyst.trees.DataFrameQueryContext
+ import org.apache.spark.sql.catalyst.util.sideBySide
+ import org.apache.spark.sql.execution.{LogicalRDD, RDDScanExec, SQLExecution}
+ import org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanHelper
+-import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec,
ShuffleExchangeExec}
++import org.apache.spark.sql.execution.exchange.{BroadcastExchangeExec,
ShuffleExchangeExec, ShuffleExchangeLike}
+ import org.apache.spark.sql.execution.streaming.runtime.MemoryStream
+ import org.apache.spark.sql.expressions.UserDefinedFunction
+ import org.apache.spark.sql.functions._
+@@ -2420,7 +2420,7 @@ 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 e1a2fd33c7c..9a93daa8f5a 100644
+---
a/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
++++
b/sql/core/src/test/scala/org/apache/spark/sql/DynamicPartitionPruningSuite.scala
+@@ -22,6 +22,7 @@ import org.scalatest.GivenWhenThen
+ import org.apache.spark.sql.catalyst.expressions.{DynamicPruningExpression,
Expression}
+ import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode._
+ import org.apache.spark.sql.catalyst.plans.ExistenceJoin
++import org.apache.spark.sql.comet.{CometNativeScanExec, CometScanExec,
CometSubqueryBroadcastExec}
+ import org.apache.spark.sql.connector.catalog.{InMemoryTableCatalog,
InMemoryTableWithV2FilterCatalog}
+ import org.apache.spark.sql.execution._
+ import org.apache.spark.sql.execution.adaptive._
+@@ -193,6 +194,7 @@ abstract class DynamicPartitionPruningSuiteBase
+ }
+ val subqueryBroadcast = dpExprs.collect {
+ case InSubqueryExec(_, b: SubqueryBroadcastExec, _, _, _, _) => b
++ case InSubqueryExec(_, b: CometSubqueryBroadcastExec, _, _, _, _) => b
+ }
+
+ val hasFilter = if (withSubquery) "Should" else "Shouldn't"
+@@ -247,6 +249,8 @@ abstract class DynamicPartitionPruningSuiteBase
+ val buf =
collectDynamicPruningExpressions(df.queryExecution.executedPlan).collect {
+ case InSubqueryExec(_, b: SubqueryBroadcastExec, _, _, _, _) =>
+ b.indices.map(idx => b.buildKeys(idx))
++ case InSubqueryExec(_, b: CometSubqueryBroadcastExec, _, _, _, _) =>
++ b.indices.map(idx => b.buildKeys(idx))
+ }
+ assert(buf.distinct.size == n)
+ }
+@@ -262,6 +266,12 @@ abstract class DynamicPartitionPruningSuiteBase
+ case s: BatchScanExec => s.runtimeFilters.collect {
+ case d: DynamicPruningExpression => d.child
+ }
++ case s: CometScanExec => s.partitionFilters.collect {
++ case d: DynamicPruningExpression => d.child
++ }
++ case s: CometNativeScanExec => s.partitionFilters.collect {
++ case d: DynamicPruningExpression => d.child
++ }
+ case _ => Nil
+ }
+ }
+@@ -1204,10 +1214,16 @@ abstract class DynamicPartitionPruningSuiteBase
+
+ val plan = df.queryExecution.executedPlan
+ val countSubqueryBroadcasts =
+- collectWithSubqueries(plan)({ case _: SubqueryBroadcastExec => 1
}).sum
++ collectWithSubqueries(plan)({
++ case _: SubqueryBroadcastExec => 1
++ case _: CometSubqueryBroadcastExec => 1
++ }).sum
+
+ val countReusedSubqueryBroadcasts =
+- collectWithSubqueries(plan)({ case ReusedSubqueryExec(_:
SubqueryBroadcastExec) => 1}).sum
++ collectWithSubqueries(plan)({
++ case ReusedSubqueryExec(_: SubqueryBroadcastExec) => 1
++ case ReusedSubqueryExec(_: CometSubqueryBroadcastExec) => 1
++ }).sum
+
+ assert(countSubqueryBroadcasts == 1)
+ assert(countReusedSubqueryBroadcasts == 1)
+@@ -1215,7 +1231,8 @@ abstract class DynamicPartitionPruningSuiteBase
+ }
+
+ test("SPARK-32509: Unused Dynamic Pruning filter shouldn't affect " +
+- "canonicalization and exchange reuse") {
++ "canonicalization and exchange reuse",
++ IgnoreComet("TODO:
https://github.com/apache/datafusion-comet/issues/4045";)) {
+ withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key ->
"true") {
+ withSQLConf(SQLConf.AUTO_BROADCASTJOIN_THRESHOLD.key -> "-1",
+ SQLConf.V2_BUCKETING_ENABLED.key -> "false") {
+@@ -1331,6 +1348,7 @@ abstract class DynamicPartitionPruningSuiteBase
+ }
+
+ test("Subquery reuse across the whole plan",
++
IgnoreCometNativeDataFusion("https://github.com/apache/datafusion-comet/issues/3313";),
+ DisableAdaptiveExecution("DPP in AQE must reuse broadcast")) {
+ withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_ENABLED.key -> "true",
+ SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key -> "false",
+@@ -1425,7 +1443,8 @@ abstract class DynamicPartitionPruningSuiteBase
+ }
+ }
+
+- test("SPARK-34637: DPP side broadcast query stage is created firstly") {
++ test("SPARK-34637: DPP side broadcast query stage is created firstly",
++ IgnoreComet("TODO:
https://github.com/apache/datafusion-comet/issues/4045";)) {
+ withSQLConf(SQLConf.DYNAMIC_PARTITION_PRUNING_REUSE_BROADCAST_ONLY.key ->
"true") {
+ val df = sql(
+ """ WITH v as (
+@@ -1579,6 +1598,7 @@ abstract class DynamicPartitionPruningSuiteBase
+
+ val subqueryBroadcastExecs =
collectWithSubqueries(df.queryExecution.executedPlan) {
+ case s: SubqueryBroadcastExec => s
++ case s: CometSubqueryBroadcastExec => s
+ }
+ assert(subqueryBroadcastExecs.size === 1)
+ subqueryBroadcastExecs.foreach { subqueryBroadcastExec =>
+@@ -1731,6 +1751,10 @@ abstract class DynamicPartitionPruningV1Suite extends
DynamicPartitionPruningDat
+ case s: BatchScanExec =>
+ // we use f1 col for v2 tables due to schema pruning
+ s.output.exists(_.exists(_.argString(maxFields =
100).contains("f1")))
++ case s: CometScanExec =>
++ s.output.exists(_.exists(_.argString(maxFields =
100).contains("fid")))
++ case s: CometNativeScanExec =>
++ s.output.exists(_.exists(_.argString(maxFields =
100).contains("fid")))
+ case _ => false
+ }
+ assert(scanOption.isDefined)
+diff --git a/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/ExplainSuite.scala
+index b27122a8de2..a4c5aac8212 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")) {
Review Comment:
Same ignore for 3.4.3
```
% grep -B 1 "IgnoreComet.*(\"" dev/diffs/3.4.3.diff | grep -B 1 "explain
output is different"
+ test("Explain formatted output for scan operator for datasource V2",
+ IgnoreComet("Comet explain output is different")) {
--
+ test("explain with table on DSv1 data source",
+ IgnoreComet("Comet explain output is different")) {
```
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