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Ethan Guo updated HUDI-7809: ---------------------------- Sprint: Sprint 2023-04-26, Sprint 2023-04-27 (was: Sprint 2023-04-26) > Use Spark SerializableConfiguration to avoid NPE in Kryo serde > -------------------------------------------------------------- > > Key: HUDI-7809 > URL: https://issues.apache.org/jira/browse/HUDI-7809 > Project: Apache Hudi > Issue Type: Improvement > Reporter: Ethan Guo > Assignee: Ethan Guo > Priority: Major > Labels: hoodie-storage, pull-request-available > Fix For: 0.15.0, 1.0.0 > > > 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. > {code:java} > 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) {code} -- This message was sent by Atlassian Jira (v8.20.10#820010)