[HUDI-7809] Use Spark SerializableConfiguration to avoid NPE in Kryo serde

• Type: Improvement
• Status: Closed
• Priority: Major
• Resolution: Fixed
• Fix Version/s: 0.15.0, 1.0.0
• Labels: hoodie-storage pull-request-available
• Story Points: 4
• Assignee: Ethan Guo (this is the old account; please use "yihua")
• Reporter: Ethan Guo (this is the old account; please use "yihua")
• Created: 29/May/24 01:22
• Updated: 05/Jun/24 00:58
• Resolved: 05/Jun/24 00:58

Description

With Hudi 0.14.1, without "spark.kryo.registrator=org.apache.spark.HoodieSparkKryoRegistrar", Hudi query in Spark quick start guide succeeds.  In Hudi 0.15.0-rc2, without the Kryo registratrar, the Hudi read throws NPE due to HadoopStorageConfiguration.

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.failJobAndIndependentStages(DAGScheduler.scala:2450)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2(DAGScheduler.scala:2399)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$abortStage$2$adapted(DAGScheduler.scala:2398)
  at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62)
  at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:2398)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1(DAGScheduler.scala:1156)
  at org.apache.spark.scheduler.DAGScheduler.$anonfun$handleTaskSetFailed$1$adapted(DAGScheduler.scala:1156)
  at scala.Option.foreach(Option.scala:407)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:1156)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:2638)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2580)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:2569)
  at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:49)
  at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:938)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2224)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2245)
  at org.apache.spark.SparkContext.runJob(SparkContext.scala:2264)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:492)
  at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:445)
  at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:48)
  at org.apache.spark.sql.Dataset.collectFromPlan(Dataset.scala:3715)
  at org.apache.spark.sql.Dataset.$anonfun$head$1(Dataset.scala:2728)
  at org.apache.spark.sql.Dataset.$anonfun$withAction$1(Dataset.scala:3706)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$5(SQLExecution.scala:103)
  at org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163)
  at org.apache.spark.sql.execution.SQLExecution$.$anonfun$withNewExecutionId$1(SQLExecution.scala:90)
  at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775)
  at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:64)
  at org.apache.spark.sql.Dataset.withAction(Dataset.scala:3704)
  at org.apache.spark.sql.Dataset.head(Dataset.scala:2728)
  at org.apache.spark.sql.Dataset.take(Dataset.scala:2935)
  at org.apache.spark.sql.Dataset.getRows(Dataset.scala:287)
  at org.apache.spark.sql.Dataset.showString(Dataset.scala:326)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:806)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:765)
  at org.apache.spark.sql.Dataset.show(Dataset.scala:774)
  ... 47 elided
Caused by: java.lang.NullPointerException
  at org.apache.spark.sql.execution.datasources.parquet.Spark32LegacyHoodieParquetFileFormat.$anonfun$buildReaderWithPartitionValues$2(Spark32LegacyHoodieParquetFileFormat.scala:152)
  at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:127)
  at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:187)
  at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:104)
  at org.apache.spark.sql.execution.FileSourceScanExec$$anon$1.hasNext(DataSourceScanExec.scala:522)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.columnartorow_nextBatch_0$(Unknown Source)
  at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
  at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
  at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:759)
  at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:350)
  at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:898)
  at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:898)
  at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
  at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:373)
  at org.apache.spark.rdd.RDD.iterator(RDD.scala:337)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
  at org.apache.spark.scheduler.Task.run(Task.scala:131)
  at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:506)
  at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1491)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:509)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
  at java.lang.Thread.run(Thread.java:750) 

Issue Links

• links to: GitHub Pull Request #11355
• links to: GitHub Pull Request #11356