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Date: Thu, 12 Oct 2017 15:02:00 +0000 (UTC)
From: "Hyukjin Kwon (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.13108790.1507782936000.40964.1507820520134@Atlassian.JIRA>
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References: <JIRA.13108790.1507782936000@Atlassian.JIRA> <JIRA.13108790.1507782936324@jira-lw-us.apache.org>
Subject: [jira] [Commented] (SPARK-22260)  java.lang.RuntimeException:
 hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too
 small)
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archived-at: Thu, 12 Oct 2017 15:02:05 -0000


    [ https://issues.apache.org/jira/browse/SPARK-22260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16202070#comment-16202070 ] 

Hyukjin Kwon commented on SPARK-22260:
--------------------------------------

Does this happen randomly? Can you provide a reproducer and/or try this out in a higher version?

>  java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
> ------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-22260
>                 URL: https://issues.apache.org/jira/browse/SPARK-22260
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.6.1
>         Environment: spark1.6.1,YARN2.6.0
>            Reporter: Liu Dinghua
>
> the codes which encountered errors are as follow:
> *   sqlContext.read.parquet("/logrep/1/sspstatistic")*
> the detail errors are as follow:
> 17/10/12 10:41:04 WARN scheduler.TaskSetManager: Lost task 1.0 in stage 1.0 (TID 3, slave05): java.io.IOException: Could not read footer: java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
> 	at org.apache.parquet.hadoop.ParquetFileReader.readAllFootersInParallel(ParquetFileReader.java:247)
> 	at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:786)
> 	at org.apache.spark.sql.execution.datasources.parquet.ParquetRelation$$anonfun$27.apply(ParquetRelation.scala:775)
> 	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> 	at org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
> 	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:89)
> 	at org.apache.spark.executor.Executor$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: java.lang.RuntimeException: hdfs://HdfsHA/logrep/1/sspstatistic/_metadata is not a Parquet file (too small)
> 	at org.apache.parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:412)
> 	at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:237)
> 	at org.apache.parquet.hadoop.ParquetFileReader$2.call(ParquetFileReader.java:233)
> 	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
> 	... 3 more
> 17/10/12 10:41:04 INFO scheduler.TaskSetManager: Starting task 1.1 in stage 1.0 (TID 4, slave05, partition 1,PROCESS_LOCAL, 968186 bytes)


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