[jira] [Updated] (SPARK-17689) _temporary files breaks the Spark SQL streaming job.
[ https://issues.apache.org/jira/browse/SPARK-17689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Prashant Sharma updated SPARK-17689: Affects Version/s: (was: 2.3.0) 2.2.0 > _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: Structured Streaming >Affects Versions: 2.2.0 >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) -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-17689) _temporary files breaks the Spark SQL streaming job.
[ https://issues.apache.org/jira/browse/SPARK-17689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Prashant Sharma updated SPARK-17689: Target Version/s: 2.3.0 (was: 2.2.0) > _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: Structured Streaming >Affects Versions: 2.2.0 >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) -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-17689) _temporary files breaks the Spark SQL streaming job.
[ https://issues.apache.org/jira/browse/SPARK-17689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Prashant Sharma updated SPARK-17689: Affects Version/s: 2.3.0 > _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: Structured Streaming >Affects Versions: 2.3.0 >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$$anonfun$runJob$5.apply(SparkContext.scala:1919) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) > at org.apache.spark.scheduler.Task.run(Task.scala:86) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) > at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-17689) _temporary files breaks the Spark SQL streaming job.
[ https://issues.apache.org/jira/browse/SPARK-17689?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Michael Armbrust updated SPARK-17689: - Target Version/s: 2.2.0 Description: Steps to reproduce: 1) Start a streaming job which reads from HDFS location hdfs://xyz/* 2) Write content to hdfs://xyz/a . . repeat a few times. And then job breaks as follows. org.apache.spark.SparkException: Job aborted due to stage failure: Task 49 in stage 304.0 failed 1 times, most recent failure: Lost task 49.0 in stage 304.0 (TID 14794, localhost): java.io.FileNotFoundException: File does not exist: hdfs://localhost:9000/input/t5/_temporary at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1309) at org.apache.hadoop.hdfs.DistributedFileSystem$22.doCall(DistributedFileSystem.java:1301) at org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81) at org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:1317) at org.apache.spark.sql.execution.datasources.HadoopFsRelation$$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) was: 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 sca
