vicuna96 opened a new issue, #11106: URL: https://github.com/apache/hudi/issues/11106
**_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** Upgrading Hudi version from 0.13.1 with metadata turned off, to 0.14.1 with metadata turned on. First run went through fine and created the metadata table. Second run I am facing the issue shown below. **To Reproduce** Steps to reproduce the behavior: 1. Bootstrap COW table with Hudi 0.13.1 and metadata turned off. 2. Run incremental ETL with Hudi 0.14.1 and metadata turned on. **This step succeeds.** Use org.apache.hudi.common.model.OverwriteNonDefaultsWithLatestAvroPayload. 3. Run subsequent incremental with Hudi 0.14.1 with metadata turned on. **This step fails.** Use org.apache.hudi.common.model.OverwriteNonDefaultsWithLatestAvroPayload. **Expected behavior** A partial update on the table, that succeeds consistently, not only once. **Environment Description** * Hudi version : 0.14.1 * Spark version : 3.3.2 * Hive version : 3.1.3 * Hadoop version : 3.3.6 * Storage (HDFS/S3/GCS..) : GCS * Running on Docker? (yes/no) : Dataproc **Additional context** Add any other context about the problem here. **Stacktrace** ```Add the stacktrace of the error.``` The error stack trace. ``` 24/04/26 16:21:51 ERROR TableLoaderClass: org.apache.hudi.table.action.commit.BaseWriteHelper.write(BaseWriteHelper.java:70) org.apache.hudi.table.action.commit.SparkUpsertCommitActionExecutor.execute(SparkUpsertCommitActionExecutor.java:44) org.apache.hudi.table.HoodieSparkCopyOnWriteTable.upsert(HoodieSparkCopyOnWriteTable.java:114) org.apache.hudi.table.HoodieSparkCopyOnWriteTable.upsert(HoodieSparkCopyOnWriteTable.java:103) org.apache.hudi.client.SparkRDDWriteClient.upsert(SparkRDDWriteClient.java:142) org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:224) org.apache.hudi.HoodieSparkSqlWriterInternal.liftedTree1$1(HoodieSparkSqlWriter.scala:504) org.apache.hudi.HoodieSparkSqlWriterInternal.writeInternal(HoodieSparkSqlWriter.scala:502) org.apache.hudi.HoodieSparkSqlWriterInternal.write(HoodieSparkSqlWriter.scala:204) org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:121) org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:150) org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:47) org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75) org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73) org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84) org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:98) org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:109) org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:169) org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:95) org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:779) org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64) org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:98) org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:94) org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:584) org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:176) org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:584) org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30) org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263) org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:560) org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:94) org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:81) org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:79) org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:116) org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:860) org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:390) org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:363) org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239) -- Application specific stack trace org.apache.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:739) ``` And prior warning found ``` 24/04/26 16:21:49 WARN TaskSetManager: Lost task 186.0 in stage 1.0 (TID 226) (gif-publish-incremental-sfo-sw-swwj.c.wmt-bfdms-opddev.internal executor 45): java.lang.ClassCastException: class org.apache.spark.sql.catalyst.expressions.UnsafeRow cannot be cast to class org.apache.spark.sql.vectorized.ColumnarBatch (org.apache.spark.sql.catalyst.expressions.UnsafeRow and org.apache.spark.sql.vectorized.ColumnarBatch are in unnamed module of loader 'app') at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.next(DataSourceScanExec.scala:579) at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.next(DataSourceScanExec.scala:568) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.columnartorow_nextBatch_0$(Unknown Source) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage2.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) at scala.collection.Iterator.isEmpty(Iterator.scala:387) at scala.collection.Iterator.isEmpty$(Iterator.scala:387) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.isEmpty(WholeStageCodegenExec.scala:758) at org.apache.hudi.HoodieSparkUtils$.$anonfun$createRdd$2(HoodieSparkUtils.scala:108) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2(RDD.scala:855) at org.apache.spark.rdd.RDD.$anonfun$mapPartitions$2$adapted(RDD.scala:855) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.sql.execution.SQLConfInjectingRDD.compute(SQLConfInjectingRDD.scala:58) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) at org.apache.spark.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99) at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52) at org.apache.spark.scheduler.Task.run(Task.scala:136) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) at java.base/java.lang.Thread.run(Thread.java:829) ``` -- This is an automated message from the Apache Git Service. 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