young138120 opened a new issue, #10320:
URL: https://github.com/apache/hudi/issues/10320

   **Describe the problem you faced**
   I run spark job to write data to hudi, and init spark session like this:
   
![image](https://github.com/apache/hudi/assets/11519151/37f69790-5cbd-44b4-94be-f2613e71f179)
   I mock some simple data and try to write it
   
![image](https://github.com/apache/hudi/assets/11519151/531e6fe9-bbcf-4a9e-a1c4-49087106e3b8)
   entities is list of java pojo
   but  write fail, i confuse that the exception is so crazy 
   
![image](https://github.com/apache/hudi/assets/11519151/8ceca114-0a39-497c-be08-06d106871ad7)
   why is this happening ? 
   
   **Environment Description**
   
   * Hudi version :
   0.9.0(huaweicloud)
   * Spark version :
   3.1.1
   * Hive version :
   3.1.0
   * Hadoop version :
   3.1.1
   * Storage (HDFS/S3/GCS..) :
   HDFS
   * Running on Docker? (yes/no) :
   NO
   
   **Stacktrace**
   2023-12-12 23:12:30,066 | INFO  | [Driver] | 异常-系统错误, message-hoodie only 
support org.apache.spark.serializer.KryoSerializer as spark.serializer | 
com.jn.dwbi.spark.Launcher.main(Launcher.java:115)
   org.apache.hudi.exception.HoodieException: hoodie only support 
org.apache.spark.serializer.KryoSerializer as spark.serializer
        at 
org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:89)
        at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:164)
        at 
org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)
        at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:71)
        at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:69)
        at 
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:91)
        at 
org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:180)
        at 
org.apache.spark.sql.execution.SparkPlan.$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.SparkPlan.execute(SparkPlan.scala:176)
        at 
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:133)
        at 
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:132)
        at 
org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:1020)
        at 
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:108)
        at 
org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:170)
        at 
org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:91)
        at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:780)
        at 
org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:65)
        at 
org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:1020)
        at 
org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:446)
        at 
org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)
        at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)
   
   


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