Jeff, Thanks for the suggestion. After I switch the URL to s3 an almost identical exception is now encountered:
java.lang.IllegalArgumentException: AWS Access Key ID and Secret Access Key must be specified as the username or password (respectively) of a s3 URL, or by setting the *fs.s3.awsAccessKeyId* or *fs.s3.awsSecretAccessKey* properties (respectively). On Mon, Jan 4, 2016 at 12:46 PM, Jeff Quinn <[email protected]> wrote: > Ah ok, I would try it with "s3://",and I think it should work as expected, > assuming the machine role you are using for EMR has the proper permissions > for writing to the bucket. > > You should not need to set fs.s3n.awsSecretAccessKey/fs.s3n.awsAccessKeyId > or any other properties, EMR service should be taking care of that for you. > > On Mon, Jan 4, 2016 at 12:22 PM, Yan Yang <[email protected]> wrote: > >> Hi Jeff, >> >> We are using s3n://bucket/path >> >> Thanks >> Yan >> >> On Mon, Jan 4, 2016 at 12:19 PM, Jeff Quinn <[email protected]> wrote: >> >>> Hey Yan, >>> >>> Just a hunch but from that stacktrace it looks like you might be using >>> the outdated s3-hadoop filesystem, is the url you are trying to write to of >>> the form s3://bucket/path or s3n://bucket/path? >>> >>> Thanks! >>> >>> Jeff >>> >>> On Mon, Jan 4, 2016 at 12:15 PM, Yan Yang <[email protected]> wrote: >>> >>>> Hi >>>> >>>> I have tried to set up a Sparkpipeline to run within AWS EMR. >>>> >>>> The code is as below: >>>> >>>> SparkConf sparkConf = new SparkConf().setAppName("JavaSparkPi"); >>>> JavaSparkContext jsc = new JavaSparkContext(sparkConf); >>>> SparkPipeline pipeline = new SparkPipeline(jsc, "spark-app"); >>>> >>>> PCollection<Input> input = pipeline.read(From.avroFile(inputPaths, >>>> Input.class)); >>>> PCollection<Output> output = process(input); >>>> pipeline.write(output, To.avroFile(outputPath)); >>>> >>>> The read works and a simple spark write such as calling >>>> saveAsTextFile() on an RDD object also works. >>>> >>>> However write using pipeline.write() hits below exceptions. I have >>>> tried to set fs.s3n.awsAccessKeyId and fs.s3n.awsSecretAccessKey in >>>> sparkConf >>>> with the same result: >>>> >>>> java.lang.IllegalArgumentException: AWS Access Key ID and Secret Access >>>> Key must be specified as the username or password (respectively) of a s3n >>>> URL, or by setting the fs.s3n.awsAccessKeyId or fs.s3n.awsSecretAccessKey >>>> properties (respectively). >>>> at >>>> org.apache.hadoop.fs.s3.S3Credentials.initialize(S3Credentials.java:70) >>>> at >>>> org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.initialize(Jets3tNativeFileSystemStore.java:80) >>>> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) >>>> at >>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) >>>> 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:187) >>>> at >>>> org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102) >>>> at org.apache.hadoop.fs.s3native.$Proxy9.initialize(Unknown Source) >>>> at >>>> org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:326) >>>> at >>>> org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2644) >>>> at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:90) >>>> at >>>> org.apache.hadoop.fs.FileSystem$Cache.getInternal(FileSystem.java:2678) >>>> at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2660) >>>> at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:374) >>>> at org.apache.hadoop.fs.Path.getFileSystem(Path.java:296) >>>> at org.apache.avro.mapred.FsInput.<init>(FsInput.java:37) >>>> at >>>> org.apache.crunch.types.avro.AvroRecordReader.initialize(AvroRecordReader.java:54) >>>> at >>>> org.apache.crunch.impl.mr.run.CrunchRecordReader.initialize(CrunchRecordReader.java:150) >>>> at >>>> org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:153) >>>> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:124) >>>> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:65) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) >>>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300) >>>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:264) >>>> at >>>> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73) >>>> at >>>> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41) >>>> at org.apache.spark.scheduler.Task.run(Task.scala:88) >>>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >>>> at >>>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) >>>> at >>>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) >>>> at java.lang.Thread.run(Thread.java:745) >>>> >>>> Thanks >>>> Yan >>>> >>> >>> >> >
