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Posted to issues@spark.apache.org by "Rahul Jaiswal (Jira)" <ji...@apache.org> on 2020/09/29 08:32:00 UTC
[jira] [Commented] (SPARK-26862) assertion failed in
ParquetRowConverter
[ https://issues.apache.org/jira/browse/SPARK-26862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17203786#comment-17203786 ]
Rahul Jaiswal commented on SPARK-26862:
---------------------------------------
is it resolved?
I am facing the same issue.
> assertion failed in ParquetRowConverter
> ---------------------------------------
>
> Key: SPARK-26862
> URL: https://issues.apache.org/jira/browse/SPARK-26862
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.4.0
> Reporter: Nan Zhu
> Priority: Major
>
> When I run the following query over a internal table (A and B are typed in string, C is Array[String])
> ```
> spark.read.table("table1")
> .select(col("A"), col("B"), col("C"))
> .withColumn("row_num", row_number().over(Window.partitionBy(col("A")).orderBy(col("B").desc)))
> ```
> I received error as
>
> ```
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 730 in stage 12.0 failed 4 times, most recent failure: Lost task 730.3 in stage 12.0 (TID 2468, hadoopworker650-dca1.prod.uber.internal, executor 88): java.lang.AssertionError: assertion failed
> at scala.Predef$.assert(Predef.scala:156)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$ParquetArrayConverter.<init>(ParquetRowConverter.scala:514)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.org$apache$spark$sql$execution$datasources$parquet$ParquetRowConverter$$newConverter(ParquetRowConverter.scala:318)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$$anonfun$7.apply(ParquetRowConverter.scala:190)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$$anonfun$7.apply(ParquetRowConverter.scala:185)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.<init>(ParquetRowConverter.scala:185)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.org$apache$spark$sql$execution$datasources$parquet$ParquetRowConverter$$newConverter(ParquetRowConverter.scala:324)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$$anonfun$7.apply(ParquetRowConverter.scala:190)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter$$anonfun$7.apply(ParquetRowConverter.scala:185)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRowConverter.<init>(ParquetRowConverter.scala:185)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetRecordMaterializer.<init>(ParquetRecordMaterializer.scala:43)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetReadSupport.prepareForRead(ParquetReadSupport.scala:126)
> at org.apache.parquet.hadoop.InternalParquetRecordReader.initialize(InternalParquetRecordReader.java:204)
> at org.apache.parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:182)
> at org.apache.parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:452)
> at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anonfun$buildReaderWithPartitionValues$1.apply(ParquetFileFormat.scala:364)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:124)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
> at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:101)
> at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
> at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
> at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$11$$anon$1.hasNext(WholeStageCodegenExec.scala:622)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
> at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
> at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
> at org.apache.spark.scheduler.Task.run(Task.scala:121)
> at org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:402)
> at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:408)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
> at java.lang.Thread.run(Thread.java:748)
> ```
>
>
> NOTE: if I remove the windowing clause, everything fine
>
>
>
> This error only happens in 2.4.0 and switching back to 2.3.2 resolved the issue
>
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