Why Zeppelin notebook is not able to connect to S3 - apache-spark

Question

I have installed Zeppelin, on my aws EC2 machine to connect to my spark cluster.
Spark Version:
Standalone: spark-1.2.1-bin-hadoop1.tgz
I am able to connect to spark cluster but getting following error, when trying to access the file in S3 in my usecase.
Code:
sc.hadoopConfiguration.set("fs.s3n.awsAccessKeyId", "YOUR_KEY_ID")
sc.hadoopConfiguration.set("fs.s3n.awsSecretAccessKey","YOUR_SEC_KEY")
val file = "s3n://<bucket>/<key>"
val data = sc.textFile(file)
data.count
file: String = s3n://<bucket>/<key>
data: org.apache.spark.rdd.RDD[String] = s3n://<bucket>/<key> MappedRDD[1] at textFile at <console>:21
ava.lang.NoSuchMethodError: org.jets3t.service.impl.rest.httpclient.RestS3Service.<init>(Lorg/jets3t/service/security/AWSCredentials;)V
at org.apache.hadoop.fs.s3native.Jets3tNativeFileSystemStore.initialize(Jets3tNativeFileSystemStore.java:55)
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:85)
I have build the Zeppelin by following command:
mvn clean package -Pspark-1.2.1 -Dhadoop.version=1.0.4 -DskipTests
when I trying to build with hadoop profile "-Phadoop-1.0.4", it is giving warning that it doesn't exist.
I have also tried -Phadoop-1 mentioned in this spark website. but got the same error.
1.x to 2.1.x hadoop-1
Please let me know what I am missing here.

Answer 1

The following installation worked for me (spent also many days with the problem):
Spark 1.3.1 prebuild for Hadoop 2.3 setup on EC2-cluster
git clone https://github.com/apache/incubator-zeppelin.git (date: 25.07.2015)
installed zeppelin via the following command (belonging to instructions on https://github.com/apache/incubator-zeppelin):
mvn clean package -Pspark-1.3 -Dhadoop.version=2.3.0 -Phadoop-2.3 -DskipTests
Port change via "conf/zeppelin-site.xml" to 8082 (Spark uses Port 8080)
After this installation steps my notebook worked with S3 files:
sc.hadoopConfiguration.set("fs.s3n.awsAccessKeyId", "xxx")
sc.hadoopConfiguration.set("fs.s3n.awsSecretAccessKey","xxx")
val file = "s3n://<<bucket>>/<<file>>"
val data = sc.textFile(file)
data.first
I think that the S3 problem is not resolved completely in Zeppelin Version 0.5.0, so cloning the actual git-repo did it for me.
Important Information: The job only worked for me with zeppelin spark-interpreter setting master=local[*] (instead of using spark://master:7777)

Answer 2

For me it worked in one two steps-
1. creating sqlContext -
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
2. reading s3 files like this. -
val performanceFactor = sqlContext.
read. parquet("s3n://<accessKey>:<secretKey>#mybucket/myfile/")
where access key and secret key you need to supply.
in #2 I am using s3n protocol and access and secret keys in path itself.