kpurella opened a new issue #2001: URL: https://github.com/apache/hudi/issues/2001
**_Tips before filing an issue_** - Have you gone through our [FAQs](https://cwiki.apache.org/confluence/display/HUDI/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** java.lang.NullPointerException While Writing data to the same hudi partition again and again. **To Reproduce** Steps to reproduce the behavior: in my case, I am reading data from Kafka and trying to write to HUDI with custom code( Not using Deltastreamer here). my job batch duration is 10 sec and my S3 partition is hourly so for every 10 sec my job try to write the data to same hour hudi partition, during this time HUDI is throwing NULL pointer Exception **Expected behavior** Hudi should commit the data without any Exceptions. **Environment Description** * Hudi version : 0.5.2-incubating * Spark version : 2.4.5 * Hive version : 2.3.6 * Hadoop version : 2.8.5 * Storage (HDFS/S3/GCS..) : s3 * Running on Docker? (yes/no) : no * EMR : 5.30.1 Code snippet datFrame.write() .format("org.apache.hudi") .mode(SaveMode.Append) .option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY(), recordKey) .option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY(), partitionKey) .option(DataSourceWriteOptions.OPERATION_OPT_KEY(), operation) .option(HoodieWriteConfig.TABLE_NAME, tableName) .option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY(), tableType) .option(DataSourceWriteOptions.HIVE_SYNC_ENABLED_OPT_KEY(), hiveSyncEnabled) .option(DataSourceWriteOptions.KEYGENERATOR_CLASS_OPT_KEY(), keyGeneratorClass) .option("hoodie.parquet.compression.codec", compressionCodec) .option("hoodie.consistency.check.enabled", consistencyCheckEnabled) .option("hoodie.compact.inline.max.delta.commits", inlineMaxDeltaCommits) .option("hoodie.compact.inline", compactInlines) .option("hoodie.insert.shuffle.parallelism", parallelism) .option("hoodie.upsert.shuffle.parallelism", parallelism) .option(DataSourceWriteOptions.HIVE_DATABASE_OPT_KEY(), hiveDBName) .option(DataSourceWriteOptions.HIVE_TABLE_OPT_KEY(), hiveTableName) .option(DataSourceWriteOptions.HIVE_PARTITION_FIELDS_OPT_KEY(), hivePartitions) .option(DataSourceWriteOptions.HIVE_URL_OPT_KEY(), hiveUrl) .save(HUDI_BASE_PATH_PROP); **Stacktrace** INFO DAGScheduler: ResultStage 9 (collect at HoodieBloomIndex.java:205) failed in 1.452 s due to Job aborted due to stage failure: Task 0 in stage 9.0 failed 4 times, most recent failure: Lost task 0.3 in stage 9.0 (TID 10, ip-10-223-69-15.emr.awsw.cld.ds.dtveng.net, executor 1): java.lang.NullPointerException at java.util.ArrayList.addAll(ArrayList.java:583) at org.apache.hudi.common.table.view.HoodieTableFileSystemView.fetchAllStoredFileGroups(HoodieTableFileSystemView.java:170) at org.apache.hudi.common.table.view.AbstractTableFileSystemView.getLatestBaseFilesBeforeOrOn(AbstractTableFileSystemView.java:355) at org.apache.hudi.index.bloom.HoodieBloomIndex.lambda$loadInvolvedFiles$19c2c1bb$1(HoodieBloomIndex.java:201) at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$1$1.apply(JavaRDDLike.scala:125) at org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$1$1.apply(JavaRDDLike.scala:125) at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:435) at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:441) at scala.collection.Iterator$class.foreach(Iterator.scala:891) at scala.collection.AbstractIterator.foreach(Iterator.scala:1334) at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104) at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48) at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310) at scala.collection.AbstractIterator.to(Iterator.scala:1334) at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302) at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1334) at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289) at scala.collection.AbstractIterator.toArray(Iterator.scala:1334) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$15.apply(RDD.scala:990) at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$15.apply(RDD.scala:990) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:2101) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:123) at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1405) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) Driver stacktrace: 20/08/20 12:37:51 INFO DAGScheduler: Job 4 failed: collect at HoodieBloomIndex.java:205, took 1.455517 s Exception in thread "main" org.apache.hudi.exception.HoodieUpsertException: Failed to upsert for commit time 20200820123744 at org.apache.hudi.client.HoodieWriteClient.upsert(HoodieWriteClient.java:192) at org.apache.hudi.DataSourceUtils.doWriteOperation(DataSourceUtils.java:208) at org.apache.hudi.HoodieSparkSqlWriter$.write(HoodieSparkSqlWriter.scala:147) at org.apache.hudi.DefaultSource.createRelation(DefaultSource.scala:108) at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:45) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:70) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:68) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:86) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:173) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:169) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:197) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:194) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:169) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:114) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:112) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) at org.apache.spark.sql.DataFrameWriter$$anonfun$runCommand$1.apply(DataFrameWriter.scala:676) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. 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