Have a look at this SO
http://stackoverflow.com/questions/24048729/how-to-read-input-from-s3-in-a-spark-streaming-ec2-cluster-application
question,
it has discussion on various ways of accessing S3.
Thanks
Best Regards
On Fri, May 8, 2015 at 1:21 AM, in4maniac sa...@skimlinks.com wrote:
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
