[VL] Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/sql/catalyst/plans/physical/HashPartitioningLike

### Backend

VL (Velox)

### Bug description

I use apache-gluten-1.2.1-incubating-bin-spark35.tar.gz jar file --jars testing sparksql application . run this
sql

-- start query 1 in stream 0 using template query2.tpl using seed 1200409435
with wscs as
(select sold_date_sk
,sales_price
from (select ws_sold_date_sk sold_date_sk
,ws_ext_sales_price sales_price
from web_sales
union all
select cs_sold_date_sk sold_date_sk
,cs_ext_sales_price sales_price
from catalog_sales) x),
wswscs as
(select d_week_seq,
sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales,
sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales,
sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales,
sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales,
sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales,
sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales
from wscs
,date_dim
where d_date_sk = sold_date_sk
group by d_week_seq)
select d_week_seq1
,round(sun_sales1/sun_sales2,2)
,round(mon_sales1/mon_sales2,2)
,round(tue_sales1/tue_sales2,2)
,round(wed_sales1/wed_sales2,2)
,round(thu_sales1/thu_sales2,2)
,round(fri_sales1/fri_sales2,2)
,round(sat_sales1/sat_sales2,2)
from
(select wswscs.d_week_seq d_week_seq1
,sun_sales sun_sales1
,mon_sales mon_sales1
,tue_sales tue_sales1
,wed_sales wed_sales1
,thu_sales thu_sales1
,fri_sales fri_sales1
,sat_sales sat_sales1
from wswscs,date_dim
where date_dim.d_week_seq = wswscs.d_week_seq and
d_year = 2001) y,
(select wswscs.d_week_seq d_week_seq2
,sun_sales sun_sales2
,mon_sales mon_sales2
,tue_sales tue_sales2
,wed_sales wed_sales2
,thu_sales thu_sales2
,fri_sales fri_sales2
,sat_sales sat_sales2
from wswscs
,date_dim
where date_dim.d_week_seq = wswscs.d_week_seq and
d_year = 2001+1) z
where d_week_seq1=d_week_seq2-53
order by d_week_seq1;

but appears error below error log my testing spark version is spark-3.5.0-bin-hadoop3 running local mode

### Spark version

Spark-3.5.x

### Spark configurations

--master local \
--conf spark.plugins=org.apache.gluten.GlutenPlugin \
--conf spark.memory.offHeap.enabled=true \
--conf spark.memory.offHeap.size=5g \
--conf spark.shuffle.manager=org.apache.spark.shuffle.sort.ColumnarShuffleManager \
--jars gluten-velox-bundle-spark3.5_2.12-centos_7_x86_64-1.2.1.jar

### System information

CentOS Linux release 7.9.2009 (Core)

### Relevant logs

```bash
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/spark/sql/catalyst/plans/physical/HashPartitioningLike
at org.apache.spark.sql.execution.ExpandOutputPartitioningShim.expandPartitioning(ExpandOutputPartitioningShim.scala:46)
at org.apache.gluten.execution.HashJoinLikeExecTransformer.expandPartitioning(JoinExecTransformer.scala:203)
at org.apache.gluten.execution.HashJoinLikeExecTransformer.outputPartitioning(JoinExecTransformer.scala:187)
at org.apache.gluten.execution.HashJoinLikeExecTransformer.outputPartitioning$(JoinExecTransformer.scala:174)
at org.apache.gluten.execution.BroadcastHashJoinExecTransformerBase.outputPartitioning(JoinExecTransformer.scala:373)
at org.apache.spark.sql.execution.PartitioningPreservingUnaryExecNode.outputPartitioning(AliasAwareOutputExpression.scala:33)
at org.apache.spark.sql.execution.PartitioningPreservingUnaryExecNode.outputPartitioning$(AliasAwareOutputExpression.scala:31)
at org.apache.gluten.execution.ProjectExecTransformer.outputPartitioning(BasicPhysicalOperatorTransformer.scala:163)
at org.apache.gluten.extension.FlushableHashAggregateRule$.org$apache$gluten$extension$FlushableHashAggregateRule$$isAggInputAlreadyDistributedWithAggKeys(FlushableHashAggregateRule.scala:108)
at org.apache.gluten.extension.FlushableHashAggregateRule.$anonfun$replaceEligibleAggregates$1(FlushableHashAggregateRule.scala:65)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.gluten.extension.FlushableHashAggregateRule.$anonfun$replaceEligibleAggregates$1(FlushableHashAggregateRule.scala:71)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.gluten.extension.FlushableHashAggregateRule.$anonfun$replaceEligibleAggregates$1(FlushableHashAggregateRule.scala:71)
at org.apache.gluten.extension.FlushableHashAggregateRule.org$apache$gluten$extension$FlushableHashAggregateRule$$replaceEligibleAggregates(FlushableHashAggregateRule.scala:74)
at org.apache.gluten.extension.FlushableHashAggregateRule$$anonfun$apply$1.applyOrElse(FlushableHashAggregateRule.scala:41)
at org.apache.gluten.extension.FlushableHashAggregateRule$$anonfun$apply$1.applyOrElse(FlushableHashAggregateRule.scala:34)
at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformUpWithPruning$2(TreeNode.scala:515)
at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUpWithPruning(TreeNode.scala:515)
at org.apache.spark.sql.catalyst.trees.TreeNode.transformUp(TreeNode.scala:488)
at org.apache.gluten.extension.FlushableHashAggregateRule.apply(FlushableHashAggregateRule.scala:34)
at org.apache.gluten.extension.FlushableHashAggregateRule.apply(FlushableHashAggregateRule.scala:32)
at org.apache.gluten.extension.columnar.ColumnarRuleApplier$LoggedRule.$anonfun$apply$1(ColumnarRuleApplier.scala:54)
at org.apache.gluten.metrics.GlutenTimeMetric$.withNanoTime(GlutenTimeMetric.scala:41)
at org.apache.gluten.metrics.GlutenTimeMetric$.withMillisTime(GlutenTimeMetric.scala:46)
at org.apache.gluten.extension.columnar.ColumnarRuleApplier$LoggedRule.apply(ColumnarRuleApplier.scala:57)
at org.apache.gluten.extension.columnar.ColumnarRuleApplier$LoggedRule.apply(ColumnarRuleApplier.scala:42)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$2(RuleExecutor.scala:222)
at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:91)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:219)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:211)
at scala.collection.immutable.List.foreach(List.scala:431)
at org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:211)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier.transformPlan(HeuristicApplier.scala:73)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier.$anonfun$withTransformRules$3(HeuristicApplier.scala:54)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier.prepareFallback(HeuristicApplier.scala:80)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier.$anonfun$withTransformRules$2(HeuristicApplier.scala:53)
at org.apache.gluten.utils.QueryPlanSelector.maybe(QueryPlanSelector.scala:74)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier.org$apache$gluten$extension$columnar$heuristic$HeuristicApplier$$$anonfun$withTransformRules$1(HeuristicApplier.scala:51)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier$$anonfun$withTransformRules$8.apply(HeuristicApplier.scala:50)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier$$anonfun$withTransformRules$8.apply(HeuristicApplier.scala:50)
at org.apache.gluten.extension.columnar.heuristic.HeuristicApplier.apply(HeuristicApplier.scala:45)
at org.apache.gluten.extension.ColumnarOverrideRules.org$apache$gluten$extension$ColumnarOverrideRules$$$anonfun$postColumnarTransitions$1(ColumnarOverrides.scala:125)
at org.apache.gluten.extension.ColumnarOverrideRules$$anonfun$postColumnarTransitions$2.apply(ColumnarOverrides.scala:116)
at org.apache.gluten.extension.ColumnarOverrideRules$$anonfun$postColumnarTransitions$2.apply(ColumnarOverrides.scala:116)
at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.$anonfun$apply$2(Columnar.scala:532)
at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.$anonfun$apply$2$adapted(Columnar.scala:532)
at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.apply(Columnar.scala:532)
at org.apache.spark.sql.execution.ApplyColumnarRulesAndInsertTransitions.apply(Columnar.scala:482)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.$anonfun$applyPhysicalRules$2(AdaptiveSparkPlanExec.scala:829)
at scala.collection.LinearSeqOptimized.foldLeft(LinearSeqOptimized.scala:126)
at scala.collection.LinearSeqOptimized.foldLeft$(LinearSeqOptimized.scala:122)
at scala.collection.immutable.List.foldLeft(List.scala:91)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$.applyPhysicalRules(AdaptiveSparkPlanExec.scala:828)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.newQueryStage(AdaptiveSparkPlanExec.scala:576)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:522)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$createQueryStages$2(AdaptiveSparkPlanExec.scala:561)
at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:286)
at scala.collection.Iterator.foreach(Iterator.scala:943)
at scala.collection.Iterator.foreach$(Iterator.scala:943)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1431)
at scala.collection.IterableLike.foreach(IterableLike.scala:74)
at scala.collection.IterableLike.foreach$(IterableLike.scala:73)
at scala.collection.AbstractIterable.foreach(Iterable.scala:56)
at scala.collection.TraversableLike.map(TraversableLike.scala:286)
at scala.collection.TraversableLike.map$(TraversableLike.scala:279)
at scala.collection.AbstractTraversable.map(Traversable.scala:108)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.createQueryStages(AdaptiveSparkPlanExec.scala:561)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$getFinalPhysicalPlan$1(AdaptiveSparkPlanExec.scala:348)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.getFinalPhysicalPlan(AdaptiveSparkPlanExec.scala:256)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.withFinalPlanUpdate(AdaptiveSparkPlanExec.scala:401)
at org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.executeCollect(AdaptiveSparkPlanExec.scala:374)
at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:4344)
at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:3326)
at org.apache.spark.sql.Dataset.$anonfun$withAction$2(Dataset.scala:4334)
at org.apache.spark.sql.execution.QueryExecution$.withInternalError(QueryExecution.scala:546)
at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:4332)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125)
at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201)
at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108)
at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:900)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66)
at org.apache.spark.sql.Dataset.withAction(Dataset.scala:4332)
at org.apache.spark.sql.Dataset.head(Dataset.scala:3326)
at org.apache.spark.sql.Dataset.take(Dataset.scala:3549)
at org.apache.spark.sql.Dataset.getRows(Dataset.scala:280)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:315)
at org.apache.spark.sql.Dataset.show(Dataset.scala:839)
```