[ https://issues.apache.org/jira/browse/SPARK-22635?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-22635: --------------------------------- Fix Version/s: 2.2.2 > FileNotFoundException again while reading ORC files containing special > characters > --------------------------------------------------------------------------------- > > Key: SPARK-22635 > URL: https://issues.apache.org/jira/browse/SPARK-22635 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.2.0, 2.2.1, 2.3.0 > Reporter: Marco Gaido > Assignee: Marco Gaido > Fix For: 2.2.2, 2.3.0 > > > SPARK-22146 fix the issue only for the {{inferSchema}}, ie. only for the > schema inference, but it doesn't fix the problem when actually reading the > data. Thus nearly the same exception happens when someone tries to use the > data. > {code} > org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in > stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 > (TID 98, host-172-22-127-77.example.com, executor 3): > java.io.FileNotFoundException: File does not exist: > hdfs://XXX/tmp/aaa/start=2017-11-27%2009%253A30%253A00/part-00000-c1477c9f-9d48-4341-89de-81056b6b618e.c000.snappy.orc > It is possible the underlying files have been updated. You can explicitly > invalidate the cache in Spark by running 'REFRESH TABLE tableName' command in > SQL or by recreating the Dataset/DataFrame involved. > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.org$apache$spark$sql$execution$datasources$FileScanRDD$$anon$$readCurrentFile(FileScanRDD.scala:127) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:174) > at > org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:105) > at > org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown > Source) > at > org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) > at > org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:395) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:234) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$2.apply(SparkPlan.scala:228) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) > at > org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$25.apply(RDD.scala:827) > at > org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:323) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:287) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) > at org.apache.spark.scheduler.Task.run(Task.scala:108) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:338) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) > at java.lang.Thread.run(Thread.java:748) > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org