[ 
https://issues.apache.org/jira/browse/SPARK-11844?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16213216#comment-16213216
 ] 

Cosmin Lehene edited comment on SPARK-11844 at 10/20/17 8:59 PM:
-----------------------------------------------------------------

I'm seeing these with spark-2.2.1-SNAPSHOT
{noformat}
java.io.IOException: can not read class org.apache.parquet.format.PageHeader: 
don't know what type: 14
        at org.apache.parquet.format.Util.read(Util.java:216)
        at org.apache.parquet.format.Util.readPageHeader(Util.java:65)
        at 
org.apache.parquet.hadoop.ParquetFileReader$Chunk.readPageHeader(ParquetFileReader.java:835)
        at 
org.apache.parquet.hadoop.ParquetFileReader$Chunk.readAllPages(ParquetFileReader.java:849)
        at 
org.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:700)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.checkEndOfRowGroup(VectorizedParquetRecordReader.java:270)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:225)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:137)
        at 
org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
 Source)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
 Source)
        at 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at 
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at 
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:166)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:108)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
        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)
Caused by: shaded.parquet.org.apache.thrift.protocol.TProtocolException: don't 
know what type: 14
        at 
shaded.parquet.org.apache.thrift.protocol.TCompactProtocol.getTType(TCompactProtocol.java:806)
        at 
shaded.parquet.org.apache.thrift.protocol.TCompactProtocol.readFieldBegin(TCompactProtocol.java:500)
        at 
org.apache.parquet.format.InterningProtocol.readFieldBegin(InterningProtocol.java:158)
        at org.apache.parquet.format.PageHeader.read(PageHeader.java:828)
        at org.apache.parquet.format.Util.read(Util.java:213)
        ... 24 more
{noformat}

Also they seem accompanied by 

{noformat}
java.io.IOException: can not read class org.apache.parquet.format.PageHeader: 
Required field 'uncompressed_page_size' was not found in serialized data! 
Struct: PageHeader(type:null, uncompressed_page_size:0, compressed_page_size:0)
        at org.apache.parquet.format.Util.read(Util.java:216)
        at org.apache.parquet.format.Util.readPageHeader(Util.java:65)
        at 
org.apache.parquet.hadoop.ParquetFileReader$Chunk.readPageHeader(ParquetFileReader.java:835)
        at 
org.apache.parquet.hadoop.ParquetFileReader$Chunk.readAllPages(ParquetFileReader.java:849)
        at 
org.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:700)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.checkEndOfRowGroup(VectorizedParquetRecordReader.java:270)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:225)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:137)
        at 
org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
 Source)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
 Source)
        at 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at 
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at 
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:166)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:108)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
        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)
Caused by: shaded.parquet.org.apache.thrift.protocol.TProtocolException: 
Required field 'uncompressed_page_size' was not found in serialized data! 
Struct: PageHeader(type:null, uncompressed_page_size:0, compressed_page_size:0)
        at org.apache.parquet.format.PageHeader.read(PageHeader.java:905)
        at org.apache.parquet.format.Util.read(Util.java:213)
        ... 24 more
{noformat}


was (Author: clehene):
I'm seeing these with spark-2.2.1-SNAPSHOT
{noformat}
java.io.IOException: can not read class org.apache.parquet.format.PageHeader: 
don't know what type: 14
        at org.apache.parquet.format.Util.read(Util.java:216)
        at org.apache.parquet.format.Util.readPageHeader(Util.java:65)
        at 
org.apache.parquet.hadoop.ParquetFileReader$Chunk.readPageHeader(ParquetFileReader.java:835)
        at 
org.apache.parquet.hadoop.ParquetFileReader$Chunk.readAllPages(ParquetFileReader.java:849)
        at 
org.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:700)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.checkEndOfRowGroup(VectorizedParquetRecordReader.java:270)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextBatch(VectorizedParquetRecordReader.java:225)
        at 
org.apache.spark.sql.execution.datasources.parquet.VectorizedParquetRecordReader.nextKeyValue(VectorizedParquetRecordReader.java:137)
        at 
org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:177)
        at 
org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.scan_nextBatch$(Unknown
 Source)
        at 
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown
 Source)
        at 
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at 
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at 
org.apache.spark.shuffle.sort.UnsafeShuffleWriter.write(UnsafeShuffleWriter.java:166)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:108)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338)
        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)
Caused by: shaded.parquet.org.apache.thrift.protocol.TProtocolException: don't 
know what type: 14
        at 
shaded.parquet.org.apache.thrift.protocol.TCompactProtocol.getTType(TCompactProtocol.java:806)
        at 
shaded.parquet.org.apache.thrift.protocol.TCompactProtocol.readFieldBegin(TCompactProtocol.java:500)
        at 
org.apache.parquet.format.InterningProtocol.readFieldBegin(InterningProtocol.java:158)
        at org.apache.parquet.format.PageHeader.read(PageHeader.java:828)
        at org.apache.parquet.format.Util.read(Util.java:213)
        ... 24 more
{noformat}

> can not read class org.apache.parquet.format.PageHeader: don't know what 
> type: 13
> ---------------------------------------------------------------------------------
>
>                 Key: SPARK-11844
>                 URL: https://issues.apache.org/jira/browse/SPARK-11844
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Yin Huai
>            Priority: Minor
>
> I got the following error once when I was running a query
> {code}
> java.io.IOException: can not read class org.apache.parquet.format.PageHeader: 
> don't know what type: 13
>       at org.apache.parquet.format.Util.read(Util.java:216)
>       at org.apache.parquet.format.Util.readPageHeader(Util.java:65)
>       at 
> org.apache.parquet.hadoop.ParquetFileReader$Chunk.readPageHeader(ParquetFileReader.java:534)
>       at 
> org.apache.parquet.hadoop.ParquetFileReader$Chunk.readAllPages(ParquetFileReader.java:546)
>       at 
> org.apache.parquet.hadoop.ParquetFileReader.readNextRowGroup(ParquetFileReader.java:496)
>       at 
> org.apache.parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:127)
>       at 
> org.apache.parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:208)
>       at 
> org.apache.parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:201)
>       at 
> org.apache.spark.rdd.SqlNewHadoopRDD$$anon$1.hasNext(SqlNewHadoopRDD.scala:168)
>       at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>       at 
> org.apache.spark.sql.execution.joins.HashJoin$$anon$1.hasNext(HashJoin.scala:77)
>       at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>       at 
> org.apache.spark.sql.execution.joins.HashJoin$$anon$1.hasNext(HashJoin.scala:77)
>       at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>       at 
> org.apache.spark.sql.execution.joins.HashJoin$$anon$1.hasNext(HashJoin.scala:77)
>       at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>       at 
> org.apache.spark.sql.execution.joins.HashJoin$$anon$1.hasNext(HashJoin.scala:77)
>       at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>       at 
> org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:88)
>       at 
> org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:86)
>       at 
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:704)
>       at 
> org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:704)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
>       at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
>       at 
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
>       at org.apache.spark.scheduler.Task.run(Task.scala:88)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>       at java.lang.Thread.run(Thread.java:745)
> Caused by: parquet.org.apache.thrift.protocol.TProtocolException: don't know 
> what type: 13
>       at 
> parquet.org.apache.thrift.protocol.TCompactProtocol.getTType(TCompactProtocol.java:806)
>       at 
> parquet.org.apache.thrift.protocol.TCompactProtocol.readFieldBegin(TCompactProtocol.java:500)
>       at 
> org.apache.parquet.format.InterningProtocol.readFieldBegin(InterningProtocol.java:158)
>       at 
> parquet.org.apache.thrift.protocol.TProtocolUtil.skip(TProtocolUtil.java:108)
> {code}
> The next retry was good. Right now, seems not critical. But, let's still 
> track it in case we see it in future.



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