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)
--
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