[SPARK-26862] assertion failed in ParquetRowConverter

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Invalid
• Affects Version/s: 2.4.0
• Component/s: SQL
• Assignee: Unassigned
• Reporter: Nan Zhu
• Created: 12/Feb/19 18:55
• Updated: 29/Sep/20 08:31
• Resolved: 13/Feb/19 00:29

Description

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