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https://issues.apache.org/jira/browse/SPARK-19187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Sean Owen resolved SPARK-19187.
-------------------------------
    Resolution: Duplicate

> querying from parquet partitioned table throws FileNotFoundException when 
> some partitions' hdfs locations do not exist
> ----------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-19187
>                 URL: https://issues.apache.org/jira/browse/SPARK-19187
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.2
>            Reporter: roncenzhao
>
> Hi, all.
> When the parquet partitioned table's some partition's hdfs paths do not 
> exist, querying from it throws FileNotFoundException .
> The error stack is :
> `
> TaskSetManager: Lost task 522.0 in stage 1.0 (TID 523, 
> sd-hadoop-datanode-50-135.i
> dc.vip.com): java.io.FileNotFoundException: File does not exist: 
> hdfs://bipcluster/bip/external_table/vip
> dw/dw_log_app_pageinfo_clean_spark_parquet/dt=20161223/hm=1730
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1128)
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem$17.doCall(DistributedFileSystem.java:1120)
>         at 
> org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
>         at 
> org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1120)
>         at 
> org.apache.spark.sql.execution.datasources.HadoopFsRelation$$anonfun$7$$anonfun$apply$3.apply(
> fileSourceInterfaces.scala:465)
>         at 
> org.apache.spark.sql.execution.datasources.HadoopFsRelation$$anonfun$7$$anonfun$apply$3.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:1899)
>         at 
> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1899)
>         at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
>         at org.apache.spark.scheduler.Task.run(Task.scala:86)
>         at 
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
>         at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>         at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>         at java.lang.Thread.run(Thread.java:745)
> `



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