hanson2021 opened a new issue, #5917:
URL: https://github.com/apache/kyuubi/issues/5917

   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://www.apache.org/foundation/policies/conduct)
   
   
   ### Search before asking
   
   - [X] I have searched in the 
[issues](https://github.com/apache/kyuubi/issues?q=is%3Aissue) and found no 
similar issues.
   
   
   ### Describe the bug
   
   (1)My Environment:
   spark-3.1.2,hive-3.1.2,hadoop-3.1.4
   (2)Error as followings:
   Caused by: java.lang.NoSuchMethodError: 
org.apache.hadoop.hive.ql.exec.Utilities.copyTableJobPropertiesToConf(Lorg/apache/hadoop/hive/ql/plan/TableDesc;Lorg/apache/hadoop/conf/Configuration;)
   at 
org.apache.spark.sql.hive.HadoopTableReader$.initializeLocalJobConfFunc(TableReader.scala:399)
   (3)Root Cause Analysis
   ReferTo https://blog.csdn.net/u011476787/article/details/126795214,after 
compiling spark-3.1.2 with default hive-2.3.7, 
./sql/hive/src/main/scala/org/apache/spark/sql/hive/TableReader.scala in 
spark-hive_2.12-3.1.2.jar is changed to 
   Utilities.copyTableJobPropertiesToConf(tableDesc, (Configuration)jobConf) 
because of JobConf is subclass of Configuration. But the 2rd argument 
    of Utilities.copyTableJobPropertiesToConf  in hive-exec-3.1.2.jar is only 
matched Class:JobConf. JobConf
   (4)
   If this problem not solved, spark3 will not work well with hive3 in kyuubi. 
Can anybody give me any suggestions how to solve it ?
   
   
   ### Affects Version(s)
   
   master
   
   ### Kyuubi Server Log Output
   
   _No response_
   
   ### Kyuubi Engine Log Output
   
   ```logtalk
   2023-12-25 12:02:25,037 INFO spark.SparkContext: Created broadcast 4 from 
   2023-12-25 12:02:25,146 INFO scheduler.DAGScheduler: Asked to cancel job 
group 2951091a-5f3f-404e-8cb9-f99dd17f5dbc
   2023-12-25 12:02:25,147 ERROR operation.ExecuteStatement: Error operating 
ExecuteStatement: java.lang.NoSuchMethodError: 
org.apache.hadoop.hive.ql.exec.Utilities.copyTableJobPropertiesToConf(Lorg/apache/hadoop/hive/ql/plan/TableDesc;Lorg/apache/hadoop/conf/Configuration;)V
           at 
org.apache.spark.sql.hive.HadoopTableReader$.initializeLocalJobConfFunc(TableReader.scala:399)
           at 
org.apache.spark.sql.hive.HadoopTableReader.$anonfun$createOldHadoopRDD$1(TableReader.scala:314)
           at 
org.apache.spark.sql.hive.HadoopTableReader.$anonfun$createOldHadoopRDD$1$adapted(TableReader.scala:314)
           at 
org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$8(HadoopRDD.scala:181)
           at 
org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$8$adapted(HadoopRDD.scala:181)
           at scala.Option.foreach(Option.scala:407)
           at 
org.apache.spark.rdd.HadoopRDD.$anonfun$getJobConf$6(HadoopRDD.scala:181)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.HadoopRDD.getJobConf(HadoopRDD.scala:178)
           at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:201)
           at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
           at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
           at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
           at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
           at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
           at 
org.apache.spark.rdd.UnionRDD.$anonfun$getPartitions$1(UnionRDD.scala:85)
           at 
org.apache.spark.rdd.UnionRDD.$anonfun$getPartitions$1$adapted(UnionRDD.scala:85)
           at 
scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:285)
           at scala.collection.immutable.List.foreach(List.scala:431)
           at scala.collection.TraversableLike.map(TraversableLike.scala:285)
           at scala.collection.TraversableLike.map$(TraversableLike.scala:278)
           at scala.collection.immutable.List.map(List.scala:305)
           at org.apache.spark.rdd.UnionRDD.getPartitions(UnionRDD.scala:85)
           at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
           at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
           at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
           at 
org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:49)
           at org.apache.spark.rdd.RDD.$anonfun$partitions$2(RDD.scala:300)
           at scala.Option.getOrElse(Option.scala:189)
           at org.apache.spark.rdd.RDD.partitions(RDD.scala:296)
           at org.apache.spark.rdd.RDD.getNumPartitions(RDD.scala:316)
           at 
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.mapOutputStatisticsFuture$lzycompute(ShuffleExchangeExec.scala:122)
           at 
org.apache.spark.sql.execution.exchange.ShuffleExchangeExec.mapOutputStatisticsFuture(ShuffleExchangeExec.scala:121)
           at 
org.apache.spark.sql.execution.adaptive.ShuffleQueryStageExec.$anonfun$doMaterialize$1(QueryStageExec.scala:162)
           at 
org.apache.spark.sql.catalyst.errors.package$.attachTree(package.scala:52)
           at 
org.apache.spark.sql.execution.adaptive.ShuffleQueryStageExec.doMaterialize(QueryStageExec.scala:162)
           at 
org.apache.spark.sql.execution.adaptive.QueryStageExec.$anonfun$materialize$1(QueryStageExec.scala:80)
           at 
org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:218)
           at 
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
           at 
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:215)
           at 
org.apache.spark.sql.execution.adaptive.QueryStageExec.materialize(QueryStageExec.scala:80)
           at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$getFinalPhysicalPlan$4(AdaptiveSparkPlanExec.scala:195)
           at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$getFinalPhysicalPlan$4$adapted(AdaptiveSparkPlanExec.scala:193)
           at scala.collection.immutable.List.foreach(List.scala:431)
           at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$getFinalPhysicalPlan$1(AdaptiveSparkPlanExec.scala:193)
           at 
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
           at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.getFinalPhysicalPlan(AdaptiveSparkPlanExec.scala:179)
           at 
org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.executeCollect(AdaptiveSparkPlanExec.scala:277)
           at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3696)
           at 
org.apache.spark.sql.Dataset.$anonfun$collect$1(Dataset.scala:2965)
           at 
org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3687)
           at 
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
           at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
           at 
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
           at 
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
           at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
           at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3685)
           at org.apache.spark.sql.Dataset.collect(Dataset.scala:2965)
           at 
org.apache.kyuubi.engine.spark.operation.ExecuteStatement.fullCollectResult(ExecuteStatement.scala:72)
           at 
org.apache.kyuubi.engine.spark.operation.ExecuteStatement.collectAsIterator(ExecuteStatement.scala:164)
           at 
org.apache.kyuubi.engine.spark.operation.ExecuteStatement.$anonfun$executeStatement$1(ExecuteStatement.scala:87)
           at 
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
           at 
org.apache.kyuubi.engine.spark.operation.SparkOperation.$anonfun$withLocalProperties$1(SparkOperation.scala:155)
           at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
           at 
org.apache.kyuubi.engine.spark.operation.SparkOperation.withLocalProperties(SparkOperation.scala:139)
           at 
org.apache.kyuubi.engine.spark.operation.ExecuteStatement.executeStatement(ExecuteStatement.scala:81)
           at 
org.apache.kyuubi.engine.spark.operation.ExecuteStatement$$anon$1.run(ExecuteStatement.scala:103)
           at 
java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
           at java.util.concurrent.FutureTask.run(FutureTask.java:266)
           at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
           at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
           at java.lang.Thread.run(Thread.java:748)
   ```
   
   
   ### Kyuubi Server Configurations
   
   _No response_
   
   ### Kyuubi Engine Configurations
   
   _No response_
   
   ### Additional context
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [X] Yes. I would be willing to submit a PR with guidance from the Kyuubi 
community to fix.
   - [X] No. I cannot submit a PR at this time.


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