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Posted to issues@spark.apache.org by "Nick Hryhoriev (Jira)" <ji...@apache.org> on 2021/04/08 10:36:00 UTC
[jira] [Comment Edited] (SPARK-11844) can not read class
org.apache.parquet.format.PageHeader: don't know what type: 13
[ https://issues.apache.org/jira/browse/SPARK-11844?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17317066#comment-17317066 ]
Nick Hryhoriev edited comment on SPARK-11844 at 4/8/21, 10:35 AM:
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I have experienced the same issue with spark 2.4.7 and 3.1.1. with Spark Structure Stream FileSink and DeltaSink. writing to s3 using S3a api.
It happens twice in production for 5 months.
I was not lucky to reproduce it.
Because we write near 10000 files every hour. files add every 10 minutes,
And only two damaged.
One file has PageHeader: Null exception.
One file has PageHeader: unknown type -15
And this issue always reproduced on these files.
The Footer of the file is OK, which means I can read schema and do an operation that requires only statistics like count.
was (Author: hryhoriev.nick):
I have experienced the same issue with spark 2.4.7 and 3.1.1. with Spark Structure Stream FileSink and DeltaSink.
It happens twice in production for 5 months.
I was not lucky to reproduce it.
Because we write near 10000 files every hour. files add ever 10 minutes,
And only two damaged.
> 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
> Labels: bulk-closed
>
> 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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