PhantomHunt opened a new issue, #6936: URL: https://github.com/apache/hudi/issues/6936
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://hudi.apache.org/learn/faq/)? - Yes - 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** We are upserting records in non-partioned table using following options primarily to test multi-modal indexing where we are using Apache Hudi latest version - 0.12.0 via AWS Glue. The job is working fine when records are inserted for the first time but from second iteration onwards with same records, we are getting an error - "An error occurred while calling o130.save. java.lang.NullPointerException" **To Reproduce** Steps to reproduce the behavior: Upsert data in a non partitioned Hudi table with following options - hudi_write_options_no_partition = { "hoodie.table.name": noPartitionHudiTableName, "hoodie.datasource.write.recordkey.field": "VODSRID", 'hoodie.datasource.write.table.name': noPartitionHudiTableName, 'hoodie.datasource.write.precombine.field': 'LastUpdatedOn', 'hoodie.datasource.write.table.type': 'MERGE_ON_READ', 'hoodie.metadata.enable':'true', 'hoodie.metadata.index.bloom.filter.enable' : 'true', 'hoodie.metadata.index.column.stats.enable' : 'true' } ( df_DB_dept.write.format("org.apache.hudi") .option('hoodie.datasource.write.operation', 'upsert') .options(**hudi_write_options_no_partition) .mode("append") .save(table_path) ) **Expected behavior** We are only able to insert fresh records. Getting error from second iteration with same set of records. We want successful upsert to happen from second iteration onwards which is not happening currently. **Environment Description** * Hudi version : 0.12.0 * AWS Glue version : Glue 3.0 * Spark version : 3.1 * Python version : 3 * Storage (HDFS/S3/GCS..) : S3 * Running on Docker? (yes/no) : No **Additional context** When we remove the option - 'hoodie.metadata.index.column.stats.enable' : 'true', upserts work properly for all iterations. **Stacktrace** 2022-10-12 11:14:05,442 ERROR [main] glueexceptionanalysis.GlueExceptionAnalysisListener (Logging.scala:logError(9)): [Glue Exception Analysis] {"Event":"GlueETLJobExceptionEvent","Timestamp":1665573245439,"Failure Reason":"Traceback (most recent call last):\n File \"/tmp/Indexing_test_5billion.py\", line 106, in <module>\n .save(table_path)\n File \"/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py\", line 1109, in save\n self._jwrite.save(path)\n File \"/opt/amazon/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py\", line 1305, in __call__\n answer, self.gateway_client, self.target_id, self.name)\n File \"/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py\", line 111, in deco\n return f(*a, **kw)\n File \"/opt/amazon/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py\", line 328, in get_return_value\n format(target_id, \".\", name), value)\npy4j.protocol.Py4JJavaError: An error occurred while calling o130.save.\n: org.ap ache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 23.0 failed 4 times, most recent failure: Lost task 0.3 in stage 23.0 (TID 654) (10.218.20.37 executor 1): org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :0\n\tat org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329)\n\tat org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:244)\n\tat org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1(JavaRDDLike.scala:102)\n\tat org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1$adapted(JavaRDDLike.scala:102)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(M apPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:337)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)\n\tat org.apache.spark.rdd.RDD.$anonfun$getOrCompute$1(RDD.scala:386)\n\tat org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)\n\tat org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1350)\n\tat org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)\n\tat org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)\n\tat org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:335)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD .scala:373)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:337)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:131)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)\n\tat java.lang.Thread.run(Thread.java:750)\nCaused by: org.apache.hudi.exception.HoodieAppendException: Failed while appending records to s3 PATH org.apache.hudi.io.HoodieAppendHandle.appendDataAndDeleteBlocks(HoodieAppendHandle.java:410)\n\tat org.apache.hudi.io.HoodieAppendHandle.doAppend(HoodieAppendHandle.java:382)\n\tat org.apache.hudi.table.action.deltacommit.BaseSparkDeltaCommitActionExecutor.handleUpdate(BaseSparkDeltaCommitActionExecutor.java:84)\n\tat org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:322)\n\t... 28 more\nCaused by: java.lang.NullPointerException\n\tat org.apache.hudi.avro.HoodieAvroUtils.convertValueForAvroLogicalTypes(HoodieAvroUtils.java:646)\n\tat org.apache.hudi.avro.HoodieAvroUtils.convertValueForSpecificDataTypes(HoodieAvroUtils.java:620)\n\tat org.apache.hudi.metadata.HoodieTableMetadataUtil.lambda$null$1(HoodieTableMetadataUtil.java:147)\n\tat java.util.ArrayList.forEach(ArrayList.java:1259)\n\tat org.apache.hudi.metadata.HoodieTableMetadataUtil.lambda$collectColumnRangeMetadata$2(HoodieTableMetadataUtil.java:142)\n\t at java.util.ArrayList.forEach(ArrayList.java:1259)\n\tat org.apache.hudi.metadata.HoodieTableMetadataUtil.collectColumnRangeMetadata(HoodieTableMetadataUtil.java:139)\n\tat org.apache.hudi.io.HoodieAppendHandle.processAppendResult(HoodieAppendHandle.java:363)\n\tat org.apache.hudi.io.HoodieAppendHandle.appendDataAndDeleteBlocks(HoodieAppendHandle.java:405)\n\t... 31 more\n\nDriver stacktrace:\n\tat org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2465)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2414)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2413)\n\tat scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:58)\n\tat scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:51)\n\tat scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)\n\tat org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala :2413)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1124)\n\tat org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1124)\n\tat scala.Option.foreach(Option.scala:257)\n\tat org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1124)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2679)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2621)\n\tat org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2610)\n\tat org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)\n\tat org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:914)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2238)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2259)\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2278 )\n\tat org.apache.spark.SparkContext.runJob(SparkContext.scala:2303)\n\tat org.apache.spark.rdd.RDD.count(RDD.scala:1253)\n\tat org.apache.hudi.HoodieSparkSqlWriter$.commitAndPerformPostOperations(HoodieSparkSqlWriter.scala:696)\n\tat org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:338)\n\tat org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:183)\n\tat org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:46)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68)\n\tat org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:90)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:185)\n\tat org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:223)\n\tat or g.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)\n\tat org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:220)\n\tat org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:181)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:134)\n\tat org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:133)\n\tat org.apache.spark.sql.DataFrameWriter.$anonfun$runCommand$1(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107)\n\tat org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232)\n\tat org.apache.spark.sql.execution.SQLExecution$.executeQuery$1(SQLExecution.scala:110)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$6(SQLExecution.scala:135)\n\tat org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:107)\n\tat org.apache.spark.sql.execution.SQLExecution$.withTracker(SQLExecution.scala:232)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:135)\n\tat org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:253)\n\tat org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:134)\n\tat org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:772)\n\tat org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:68)\n\tat org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:989)\n\tat org.apache.spark.sql.DataFrameWriter.saveToV1Source(DataFrameWriter.scala:438)\n\tat org.apache.spark.sql.DataFrameWriter.saveInternal(DataFrameWriter.scala:415)\n\tat org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:293)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)\n\tat sun.reflect.NativeMethodAccessorImpl.invoke(N ativeMethodAccessorImpl.java:62)\n\tat sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)\n\tat java.lang.reflect.Method.invoke(Method.java:498)\n\tat py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)\n\tat py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357)\n\tat py4j.Gateway.invoke(Gateway.java:282)\n\tat py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)\n\tat py4j.commands.CallCommand.execute(CallCommand.java:79)\n\tat py4j.GatewayConnection.run(GatewayConnection.java:238)\n\tat java.lang.Thread.run(Thread.java:750)\nCaused by: org.apache.hudi.exception.HoodieUpsertException: Error upserting bucketType UPDATE for partition :0\n\tat org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:329)\n\tat org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.lambda$mapPartitionsAsRDD$a3ab3c4$1(BaseSparkCommitActionExecutor.java:244 )\n\tat org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1(JavaRDDLike.scala:102)\n\tat org.apache.spark.api.java.JavaRDDLike.$anonfun$mapPartitionsWithIndex$1$adapted(JavaRDDLike.scala:102)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2(RDD.scala:915)\n\tat org.apache.spark.rdd.RDD.$anonfun$mapPartitionsWithIndex$2$adapted(RDD.scala:915)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:337)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)\n\tat org.apache.spark.rdd.RDD.$anonfun$getOrCompute$1(RDD.scala:386)\n\tat org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1440)\n\tat org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManage r.scala:1350)\n\tat org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1414)\n\tat org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1237)\n\tat org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:335)\n\tat org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)\n\tat org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)\n\tat org.apache.spark.rdd.RDD.iterator(RDD.scala:337)\n\tat org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)\n\tat org.apache.spark.scheduler.Task.run(Task.scala:131)\n\tat org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:497)\n\tat org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1439)\n\tat org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:500)\n\tat java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)\n\tat java.util.concurrent.ThreadPoolExecutor $Worker.run(ThreadPoolExecutor.java:624)\n\t... 1 more\nCaused by: org.apache.hudi.exception.HoodieAppendException: Failed while appending records to S3 PATH org.apache.hudi.io.HoodieAppendHandle.appendDataAndDeleteBlocks(HoodieAppendHandle.java:410)\n\tat org.apache.hudi.io.HoodieAppendHandle.doAppend(HoodieAppendHandle.java:382)\n\tat org.apache.hudi.table.action.deltacommit.BaseSparkDeltaCommitActionExecutor.handleUpdate(BaseSparkDeltaCommitActionExecutor.java:84)\n\tat org.apache.hudi.table.action.commit.BaseSparkCommitActionExecutor.handleUpsertPartition(BaseSparkCommitActionExecutor.java:322)\n\t... 28 more\nCaused by: java.lang.NullPointerException\n\tat org.apache.hudi.avro.HoodieAvroUtils.convertValueForAvroLogicalTypes(HoodieAvroUtils.java:646)\n\tat org.apache.hudi.avro.HoodieAvroUtils.convertValueForSpecificDataTypes(HoodieAvroUtils.java:620)\n\tat org.apache.hudi.metadata.HoodieTableMetadataUtil.lambda$null$1(HoodieTableMetadataUtil.java:147)\n\tat java.util.ArrayList.f orEach(ArrayList.java:1259)\n\tat org.apache.hudi.metadata.HoodieTableMetadataUtil.lambda$collectColumnRangeMetadata$2(HoodieTableMetadataUtil.java:142)\n\tat java.util.ArrayList.forEach(ArrayList.java:1259)\n\tat org.apache.hudi.metadata.HoodieTableMetadataUtil.collectColumnRangeMetadata(HoodieTableMetadataUtil.java:139)\n\tat org.apache.hudi.io.HoodieAppendHandle.processAppendResult(HoodieAppendHandle.java:363)\n\tat org.apache.hudi.io.HoodieAppendHandle.appendDataAndDeleteBlocks(HoodieAppendHandle.java:405)\n\t... 31 more\n","Stack Trace":[{ "Declaring Class": "get_return_value", "Method Name": "format(target_id, \".\", name), value)", "File Name": "/opt/amazon/spark/python/lib/py4j-0.10.9-src.zip/py4j/protocol.py", "Line Number": 328 },{ "Declaring Class": "deco", "Method Name": "return f(*a, **kw)", "File Name": "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/utils.py", "Line Number": 111 },{ "Declaring Class": "__call__", "Method Name": "answer, self.gateway_client, self.target_id, self.name)", "File Name": "/opt/amazon/spark/python/lib/py4j-0.10.9-src.zip/py4j/java_gateway.py", "Line Number": 1305 },{ "Declaring Class": "save", "Method Name": "self._jwrite.save(path)", "File Name": "/opt/amazon/spark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", "Line Number": 1109 },{ "Declaring Class": "<module>", "Method Name": ".save(table_path)", "File Name": "/tmp/Indexing_test_5billion.py", "Line Number": 106 }],"Last Executed Line number":106,"script":"Indexing_test_5billion.py"} -- This is an automated message from the Apache Git Service. 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