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Posted to commits@hudi.apache.org by "Alexey Kudinkin (Jira)" <ji...@apache.org> on 2022/02/03 04:26:00 UTC
[jira] [Closed] (HUDI-3337) ParquetUtils fails extracting Parquet Column Range Metadata
[ https://issues.apache.org/jira/browse/HUDI-3337?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alexey Kudinkin closed HUDI-3337.
---------------------------------
Resolution: Fixed
> ParquetUtils fails extracting Parquet Column Range Metadata
> -----------------------------------------------------------
>
> Key: HUDI-3337
> URL: https://issues.apache.org/jira/browse/HUDI-3337
> Project: Apache Hudi
> Issue Type: Bug
> Components: metadata
> Reporter: Alexey Kudinkin
> Assignee: Alexey Kudinkin
> Priority: Blocker
> Labels: pull-request-available
> Fix For: 0.11.0
>
>
> [~manojpec] discovered following issue while testing MT flows, with {{TestHoodieBackedMetadata#testTableOperationsWithMetadataIndex}} failing with:
>
> {code:java}
> 17400 [Executor task launch worker for task 240] ERROR org.apache.hudi.metadata.HoodieTableMetadataUtil - Failed to read column stats for /var/folders/t7/kr69rlvx5rdd824m61zjqkjr0000gn/T/junit2402861080324269156/dataset/2016/03/15/44396fda-48db-4d10-9f47-275c39317115-0_0-101-234_0000003.parquet
> java.lang.ClassCastException: org.apache.parquet.io.api.Binary$ByteArrayBackedBinary cannot be cast to java.lang.Integer
> at org.apache.hudi.common.util.ParquetUtils.convertToNativeJavaType(ParquetUtils.java:369)
> at org.apache.hudi.common.util.ParquetUtils.lambda$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$ReduceOp.evaluateSequential(ReduceOps.java:708)
> at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
> at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:566)
> at org.apache.hudi.common.util.ParquetUtils.readRangeFromParquetMetadata(ParquetUtils.java:313)
> at org.apache.hudi.metadata.HoodieTableMetadataUtil.getColumnStats(HoodieTableMetadataUtil.java:878)
> at org.apache.hudi.metadata.HoodieTableMetadataUtil.translateWriteStatToColumnStats(HoodieTableMetadataUtil.java:858)
> at org.apache.hudi.metadata.HoodieTableMetadataUtil.lambda$createColumnStatsFromWriteStats$7e2376a$1(HoodieTableMetadataUtil.java:819)
> at org.apache.hudi.client.common.HoodieSparkEngineContext.lambda$flatMap$7d470b86$1(HoodieSparkEngineContext.java:134)
> 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$13.apply(RDD.scala:945)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:945)
> 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:1360)
> 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) {code}
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