Alexey Kudinkin created HUDI-3684:
-------------------------------------
Summary: NPE in ParquetUtils
Key: HUDI-3684
URL: https://issues.apache.org/jira/browse/HUDI-3684
Project: Apache Hudi
Issue Type: Task
Reporter: Alexey Kudinkin
Assignee: Alexey Kudinkin
Fix For: 0.11.0
ParquetUtils is failing w/ NPE whenever returned min/max statistic from Parquet
is null
{code:java}
Caused by: java.lang.NullPointerException
at
org.apache.hudi.common.util.ParquetUtils.convertToNativeJavaType(ParquetUtils.java:390)
at
org.apache.hudi.common.util.ParquetUtils.lambda$null$2(ParquetUtils.java:305)
at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193)
at java.util.stream.ReferencePipeline$2$1.accept(ReferencePipeline.java:175)
at
java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1384)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
at
java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
at
java.util.stream.ForEachOps$ForEachOp.evaluateSequential(ForEachOps.java:150)
at
java.util.stream.ForEachOps$ForEachOp$OfRef.evaluateSequential(ForEachOps.java:173)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.forEach(ReferencePipeline.java:485)
at java.util.stream.ReferencePipeline$7$1.accept(ReferencePipeline.java:272)
at
java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1384)
at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482)
at
java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:566)
at
org.apache.hudi.common.util.ParquetUtils.readRangeFromParquetMetadata(ParquetUtils.java:315)
at
org.apache.hudi.metadata.HoodieTableMetadataUtil.getColumnStats(HoodieTableMetadataUtil.java:958)
at
org.apache.hudi.metadata.HoodieTableMetadataUtil.translateWriteStatToColumnStats(HoodieTableMetadataUtil.java:942)
at
org.apache.hudi.metadata.HoodieTableMetadataUtil.lambda$convertMetadataToColumnStatsRecords$6fd51462$1(HoodieTableMetadataUtil.java:895)
at
org.apache.hudi.data.HoodieJavaRDD.lambda$flatMap$a6598fcb$1(HoodieJavaRDD.java:117)
at
org.apache.spark.api.java.JavaRDDLike.$anonfun$flatMap$1(JavaRDDLike.scala:125)
at scala.collection.Iterator$$anon$11.nextCur(Iterator.scala:486)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:492)
at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:460)
at
org.apache.spark.storage.memory.MemoryStore.putIterator(MemoryStore.scala:223)
at
org.apache.spark.storage.memory.MemoryStore.putIteratorAsBytes(MemoryStore.scala:352)
at
org.apache.spark.storage.BlockManager.$anonfun$doPutIterator$1(BlockManager.scala:1498)
at
org.apache.spark.storage.BlockManager.org$apache$spark$storage$BlockManager$$doPut(BlockManager.scala:1408)
at
org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:1472)
at
org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:1295)
at org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:384)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:335)
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.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.shuffle.ShuffleWriteProcessor.write(ShuffleWriteProcessor.scala:59)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:52)
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:1462)
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:748) {code}
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
