koochiswathiTR commented on issue #6606: URL: https://github.com/apache/hudi/issues/6606#issuecomment-1247962307
@zhedoubushishi @nsivabalan @xushiyan It will be great if we hear from you soon, Complete Stacktrace : "java.util.ConcurrentModificationException: Cannot resolve conflicts for overlapping writes", "at org.apache.hudi.client.transaction.SimpleConcurrentFileWritesConflictResolutionStrategy.resolveConflict(SimpleConcurrentFileWritesConflictResolutionStrategy.java:102) \nat org.apache.hudi.client.utils.TransactionUtils.lambda$resolveWriteConflictIfAny$0(TransactionUtils.java:85) \nat java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1384)\nat java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742) \nat java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:742)\nat java.util.stream.ReferencePipeline$Head.forEach(ReferencePipeline.java:647) \nat org.apache.hudi.client.utils.TransactionUtils.resolveWriteConflictIfAny(TransactionUtils.java:79) \nat org.apache.hudi.client.SparkRDDWriteClient.preCommit(SparkRDDWriteClient.java:475) \nat org.apache.hudi.client.BaseHoodieWriteClient.commitStats(BaseHoodieWriteClient.java:233) \nat org.apache.hudi.client.SparkRDDWriteClient.commit(SparkRDDWriteClient.java:122) \nat org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:678) \nat org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:313)\ nat org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:165) \nat org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45)\ nat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:75) \nat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:73) \nat org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:84) \nat org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.$anonfun$applyOrElse$1(QueryExecution.scala:115) \nat org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) \nat org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232) \nat org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:110)\ nat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:135) \nat org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107) \nat org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232) \nat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:135) \nat org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:253) \nat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:134) \nat org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) \nat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68) \nat org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:112) \nat org.apache.spark.sql.execution.QueryExecution$$anonfun$eagerlyExecuteCommands$1.applyOrElse(QueryExecution.scala:108) \nat org.apache.spark.sql.catalyst.trees.TreeNode.$anonfun$transformDownWithPruning$1(TreeNode.scala:519) \nat org.apache.spark.sql.catalyst.trees.CurrentOrigin$.withOrigin(TreeNode.scala:83) \nat org.apache.spark.sql.catalyst.trees.TreeNode.transformDownWithPruning(TreeNode.scala:519) \nat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.org$apache$spark$sql$catalyst$plans$logical$AnalysisHelper$$super$transformDownWithPruning(LogicalPlan.scala:30) \nat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning(AnalysisHelper.scala:267) \nat org.apache.spark.sql.catalyst.plans.logical.AnalysisHelper.transformDownWithPruning$(AnalysisHelper.scala:263)\ nat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) \nat org.apache.spark.sql.catalyst.plans.logical.LogicalPlan.transformDownWithPruning(LogicalPlan.scala:30) \nat org.apache.spark.sql.catalyst.trees.TreeNode.transformDown(TreeNode.scala:495) \nat org.apache.spark.sql.execution.QueryExecution.eagerlyExecuteCommands(QueryExecution.scala:108)\ nat org.apache.spark.sql.execution.QueryExecution.commandExecuted$lzycompute(QueryExecution.scala:95)\n at org.apache.spark.sql.execution.QueryExecution.commandExecuted(QueryExecution.scala:93)\n at org.apache.spark.sql.execution.QueryExecution.assertCommandExecuted(QueryExecution.scala:136)\n at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:848)\n at org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:382)\n at org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:355)\n at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:239)\n -- This is an automated message from the Apache Git Service. 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