Hi Guys, I think this problem is related to : http://apache-spark-user-list.1001560.n3.nabble.com/AWS-Credentials-for-private-S3-reads-td8689.html
I am running pyspark 1.2.1 in AWS with my AWS credentials exported to master node as Environmental Variables. Halfway through my application, I get thrown with a org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 HEAD request failed for "file path" - ResponseCode=403, ResponseMessage=Forbidden Here is some important information about my job: + my AWS credentials exported to master node as Environmental Variables + there are no '/'s in my secret key + The earlier steps that uses this parquet file actually complete successsfully + The step before the count() does the following: + reads the parquet file (SELECT STATEMENT) + maps it to an RDD + runs a filter on the RDD + The filter works as follows: + extracts one field from each RDD line + checks with a list of 40,000 hashes for presence (if field in LIST_OF_HASHES.value) + LIST_OF_HASHES is a broadcast object The wierdness is that I am using this parquet file in earlier steps and it works fine. The other confusion I have is due to the fact that it only starts failing halfway through the stage. It completes a fraction of tasks and then starts failing.. Hoping to hear something positive. Many thanks in advance Sahanbull The stack trace is as follows: >>> negativeObs.count() [Stage 9:==========================> (161 + 240) / 800] 15/05/07 07:55:59 ERROR TaskSetManager: Task 277 in stage 9.0 failed 4 times; aborting job Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/root/spark/python/pyspark/rdd.py", line 829, in count return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum() File "/root/spark/python/pyspark/rdd.py", line 820, in sum return self.mapPartitions(lambda x: [sum(x)]).reduce(operator.add) File "/root/spark/python/pyspark/rdd.py", line 725, in reduce vals = self.mapPartitions(func).collect() File "/root/spark/python/pyspark/rdd.py", line 686, in collect bytesInJava = self._jrdd.collect().iterator() File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__ File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value py4j.protocol.Py4JJavaError: An error occurred while calling o139.collect. : org.apache.spark.SparkException: Job aborted due to stage failure: Task 277 in stage 9.0 failed 4 times, most recent failure: Lost task 277.3 in stage 9.0 (TID 4832, ip-172-31-1-185.ec2.internal): org.apache.hadoop.fs.s3.S3Exception: org.jets3t.service.S3ServiceException: S3 HEAD request failed for '/subbucket%2Fpath%2F2Fpath%2F2Fpath%2F2Fpath%2F2Fpath%2Ffilename.parquet%2Fpart-r-349.parquet' - ResponseCode=403, ResponseMessage=Forbidden at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:122) at sun.reflect.GeneratedMethodAccessor116.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:82) at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:59) at org.apache.hadoop.fs.s3native.$Proxy9.retrieveMetadata(Unknown Source) at org.apache.hadoop.fs.s3native.NativeS3FileSystem.getFileStatus(NativeS3FileSystem.java:326) at parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:381) at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:155) at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138) at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:135) at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:107) at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:69) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) at org.apache.spark.sql.SchemaRDD.compute(SchemaRDD.scala:120) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) at org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:280) at org.apache.spark.rdd.RDD.iterator(RDD.scala:247) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply$mcV$sp(PythonRDD.scala:242) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204) at org.apache.spark.api.python.PythonRDD$WriterThread$$anonfun$run$1.apply(PythonRDD.scala:204) at org.apache.spark.util.Utils$.logUncaughtExceptions(Utils.scala:1550) at org.apache.spark.api.python.PythonRDD$WriterThread.run(PythonRDD.scala:203) Caused by: org.jets3t.service.S3ServiceException: S3 HEAD request failed for '/sahan%2Fiisee%2FMonthlyProfiles%2Fyear%3D2015%2Fmonth%3D05%2Fday%3D02%2FMonthlyAggregates.parquet%2Fpart-r-349.parquet' - ResponseCode=403, ResponseMessage=Forbidden at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:477) at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRestHead(RestS3Service.java:718) at org.jets3t.service.impl.rest.httpclient.RestS3Service.getObjectImpl(RestS3Service.java:1599) at org.jets3t.service.impl.rest.httpclient.RestS3Service.getObjectDetailsImpl(RestS3Service.java:1535) at org.jets3t.service.S3Service.getObjectDetails(S3Service.java:1987) at org.jets3t.service.S3Service.getObjectDetails(S3Service.java:1332) at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.retrieveMetadata(Jets3tNativeFileSystemStore.java:111) ... 30 more Caused by: org.jets3t.service.impl.rest.HttpException at org.jets3t.service.impl.rest.httpclient.RestS3Service.performRequest(RestS3Service.java:475) ... 36 more Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420) at akka.actor.Actor$class.aroundReceive(Actor.scala:465) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) at akka.dispatch.Mailbox.run(Mailbox.scala:220) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/AWS-Credentials-fails-with-org-apache-hadoop-fs-s3-S3Exception-FORBIDDEN-tp22800.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org