amazon ec2 - How to read input from S3 in a Spark Streaming EC2 cluster application

Question

I'm trying to make my Spark Streaming application reading his input from a S3 directory but I keep getting this exception after launching it with spark-submit script:

Exception in thread "main" 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:66)
    at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.initialize(Jets3tNativeFileSystemStore.java:49)
    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:82)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:59)
    at org.apache.hadoop.fs.s3native.$Proxy6.initialize(Unknown Source)
    at org.apache.hadoop.fs.s3native.NativeS3FileSystem.initialize(NativeS3FileSystem.java:216)
    at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:1386)
    at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:66)
    at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:1404)
    at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:254)
    at org.apache.hadoop.fs.Path.getFileSystem(Path.java:187)
    at org.apache.spark.streaming.StreamingContext.checkpoint(StreamingContext.scala:195)
    at MainClass$.main(MainClass.scala:1190)
    at MainClass.main(MainClass.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:292)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:55)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)

I'm setting those variables through this block of code as suggested here http://spark.apache.org/docs/latest/ec2-scripts.html (bottom of the page):

val ssc = new org.apache.spark.streaming.StreamingContext(
  conf,
  Seconds(60))
ssc.sparkContext.hadoopConfiguration.set("fs.s3n.awsAccessKeyId",args(2))
ssc.sparkContext.hadoopConfiguration.set("fs.s3n.awsSecretAccessKey",args(3))

args(2) and args(3) are my AWS Access Key ID and Secrete Access Key of course.

Why it keeps saying they are not set?

EDIT: I tried also this way but I get the same exception:

val lines = ssc.textFileStream("s3n://"+ args(2) +":"+ args(3) + "@<mybucket>/path/")

Answer 1

Odd. Try also doing a .set on the sparkContext. Try also exporting env variables before you start the application:

export AWS_ACCESS_KEY_ID=<your access>
export AWS_SECRET_ACCESS_KEY=<your secret>

^^this is how we do it.

UPDATE: According to @tribbloid the above broke in 1.3.0, now you have to faff around for ages and ages with hdfs-site.xml, or your can do (and this works in a spark-shell):

val hadoopConf = sc.hadoopConfiguration;
hadoopConf.set("fs.s3.impl", "org.apache.hadoop.fs.s3native.NativeS3FileSystem")
hadoopConf.set("fs.s3.awsAccessKeyId", myAccessKey)
hadoopConf.set("fs.s3.awsSecretAccessKey", mySecretKey)