leesf opened a new issue, #11623: URL: https://github.com/apache/hudi/issues/11623
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)? - Join the mailing list to engage in conversations and get faster support at [email protected]. - If you have triaged this as a bug, then file an [issue](https://issues.apache.org/jira/projects/HUDI/issues) directly. **Describe the problem you faced** A clear and concise description of the problem. **To Reproduce** Steps to reproduce the behavior: 1. Code Below. ``` SparkSession spark = SparkSession.builder() .appName("Spark Hudi Example") .config("spark.serializer", "org.apache.spark.serializer.KryoSerializer") .config("spark.sql.extensions", "org.apache.spark.sql.hudi.HoodieSparkSessionExtension") .config("spark.sql.catalog.spark_catalog", "org.apache.spark.sql.hudi.catalog.HoodieCatalog") .master("local[*]") .getOrCreate(); spark.sql("drop table if exists insert_overwrite_partition purge"); spark.sql("Create Table if not exists insert_overwrite_partition (\n" + " id int,\n" + " name string,\n" + " age int\n" + ") using hudi partitioned by (age) TBLPROPERTIES (primaryKey = 'id', preCombineField = 'age')\n" + "LOCATION '/tmp/insert_overwrite_partition/'; "); spark.sql("insert into insert_overwrite_partition values(1, 'a', 10000), (2, 'spark', 20000)"); spark.sql("insert overwrite insert_overwrite_partition partition(age=10) values(10, 'adb')"); spark.sql("select * from insert_overwrite_partition").show(); ``` 2. When running first time, it would success. But if run again it will the exception. **Expected behavior** A clear and concise description of what you expected to happen. **Environment Description** * Hudi version : 0.15. * Spark version : 3.5.1 * Hive version : * Hadoop version : * Storage (HDFS/S3/GCS..) : * Running on Docker? (yes/no) : **Additional context** Add any other context about the problem here. **Stacktrace** ``` Exception in thread "main" java.lang.ClassCastException: org.apache.spark.unsafe.types.UTF8String cannot be cast to java.lang.Integer at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:103) at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getInt(rows.scala:40) at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getInt$(rows.scala:40) at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getInt(rows.scala:165) at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$4(InternalRow.scala:138) at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$4$adapted(InternalRow.scala:138) at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$16(InternalRow.scala:159) at org.apache.spark.sql.catalyst.InternalRow$.$anonfun$getAccessor$16$adapted(InternalRow.scala:155) at org.apache.spark.sql.catalyst.expressions.BoundReference.eval(BoundAttribute.scala:40) at org.apache.spark.sql.catalyst.expressions.BinaryExpression.eval(Expression.scala:664) at org.apache.spark.sql.catalyst.expressions.InterpretedPredicate.eval(predicates.scala:52) at org.apache.hudi.SparkHoodieTableFileIndex.$anonfun$listMatchingPartitionPaths$8(SparkHoodieTableFileIndex.scala:253) at org.apache.hudi.SparkHoodieTableFileIndex.$anonfun$listMatchingPartitionPaths$8$adapted(SparkHoodieTableFileIndex.scala:253) at scala.collection.TraversableLike.noneIn$1(TraversableLike.scala:319) at scala.collection.TraversableLike.filterImpl(TraversableLike.scala:385) at scala.collection.TraversableLike.filterImpl$(TraversableLike.scala:297) at scala.collection.AbstractTraversable.filterImpl(Traversable.scala:108) at scala.collection.TraversableLike.filter(TraversableLike.scala:395) at scala.collection.TraversableLike.filter$(TraversableLike.scala:395) at scala.collection.AbstractTraversable.filter(Traversable.scala:108) at org.apache.hudi.SparkHoodieTableFileIndex.listMatchingPartitionPaths(SparkHoodieTableFileIndex.scala:253) at org.apache.hudi.SparkHoodieTableFileIndex.getPartitionPaths(SparkHoodieTableFileIndex.scala:202) at org.apache.spark.sql.hudi.ProvidesHoodieConfig.deduceOverwriteConfig(ProvidesHoodieConfig.scala:389) at org.apache.spark.sql.hudi.ProvidesHoodieConfig.deduceOverwriteConfig$(ProvidesHoodieConfig.scala:353) at org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand$.deduceOverwriteConfig(InsertIntoHoodieTableCommand.scala:66) at org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand$.run(InsertIntoHoodieTableCommand.scala:92) at org.apache.spark.sql.hudi.command.InsertIntoHoodieTableCommand.run(InsertIntoHoodieTableCommand.scala:61) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73) at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:107) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:125) at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:201) at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:108) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:901) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:66) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:107) at org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98) at org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:461) at org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(origin.scala:76) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:461) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) at org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:32) at org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:437) at org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:98) at org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:85) at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:83) at org.apache.spark.sql.Dataset.<init>(Dataset.scala:220) at org.apache.spark.sql.Dataset$.$anonfun$ofRows$2(Dataset.scala:100) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:901) at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:97) at org.apache.spark.sql.SparkSession.$anonfun$sql$4(SparkSession.scala:692) at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:901) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:683) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:714) at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:745) ``` -- This is an automated message from the Apache Git Service. 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