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Posted to issues@spark.apache.org by "roncenzhao (JIRA)" <ji...@apache.org> on 2017/01/12 03:40:16 UTC
[jira] [Created] (SPARK-19187) querying from parquet partitioned
table throws FileNotFoundException when some partitions' hdfs locations do
not exist
roncenzhao created SPARK-19187:
----------------------------------
Summary: 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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