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From "Prashant Sharma (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-17689) _temporary files breaks the Spark SQL streaming job.
Date Tue, 27 Sep 2016 10:39:20 GMT
Prashant Sharma created SPARK-17689:
---------------------------------------

             Summary: _temporary files breaks the Spark SQL streaming job.
                 Key: SPARK-17689
                 URL: https://issues.apache.org/jira/browse/SPARK-17689
             Project: Spark
          Issue Type: Bug
          Components: SQL, Streaming
            Reporter: Prashant Sharma



Steps to reproduce:

1) Start a streaming job which reads from HDFS location hdfs://xyz/*
2) Write content to hdfs://xyz/a
.
.
repeat a few times.

And then job breaks as follows.


org.apache.spark.SparkException: Job aborted due to stage failure: Task 49 in stage 304.0
failed 1 times, most recent failure: Lost task 49.0 in stage 304.0 (TID 14794, localhost):
java.io.FileNotFoundException: File does not exist: hdfs://localhost:9000/input/t5/_temporary
	at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1309)
	at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301)
	at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
	at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1317)
	at org.apache.spark.sql.execution.datasources.HadoopFsRelation$$anonfun$7$$anonfun$apply$4.apply(fileSourceInterfaces.scala:464)
	at org.apache.spark.sql.execution.datasources.HadoopFsRelation$$anonfun$7$$anonfun$apply$4.apply(fileSourceInterfaces.scala:462)
	at scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
	at scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
	at scala.collection.Iterator$class.foreach(Iterator.scala:893)
	at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
	at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:59)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:104)
	at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:48)
	at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:310)
	at scala.collection.AbstractIterator.to(Iterator.scala:1336)
	at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:302)
	at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1336)
	at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:289)
	at scala.collection.AbstractIterator.toArray(Iterator.scala:1336)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:912)
	at org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$13.apply(RDD.scala:912)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1919)
	at org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1919)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
	at org.apache.spark.scheduler.Task.run(Task.scala:86)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
	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)




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