Alexey Kudinkin created HUDI-3337:
-------------------------------------
Summary: 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
Reporter: Alexey Kudinkin
[~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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