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From Jeff Quinn <j...@nuna.com>
Subject Re: Sparkpipeline hit credentials issue when trying to write to S3
Date Mon, 04 Jan 2016 20:19:51 GMT
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outdated s3-hadoop filesystem, is the url you are trying to write to of the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 <yan@wealthfront.com> 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
>

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