为什么 Zeppelin notebook 无法连接到 S3 [英] Why Zeppelin notebook is not able to connect to S3

问题描述

我已经在我的 aws EC2 机器上安装了 Zeppelin 以连接到我的 Spark 集群.

I have installed Zeppelin, on my aws EC2 machine to connect to my spark cluster.

Spark 版本:独立:spark-1.2.1-bin-hadoop1.tgz

在我的用例中尝试访问 S3 中的文件时，我能够连接到 Spark 集群，但出现以下错误.

I am able to connect to spark cluster but getting following error, when trying to access the file in S3 in my usecase.

代码:

    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)

我已经通过以下命令构建了 Zeppelin:

I have build the Zeppelin by following command:

mvn clean package -Pspark-1.2.1 -Dhadoop.version=1.0.4 -DskipTests

当我尝试使用 hadoop 配置文件-Phadoop-1.0.4"进行构建时，它警告说它不存在.

when I trying to build with hadoop profile "-Phadoop-1.0.4", it is giving warning that it doesn't exist.

我也尝试过 this 中提到的 -Phadoop-1网站.但得到了同样的错误.1.x 到 2.1.x hadoop-1

I have also tried -Phadoop-1 mentioned in this spark website. but got the same error. 1.x to 2.1.x hadoop-1

请让我知道我在这里遗漏了什么.

Please let me know what I am missing here.

推荐答案

以下安装对我有用(问题也花了很多天):

The following installation worked for me (spent also many days with the problem):

1. 针对 EC2 集群上的 Hadoop 2.3 设置的 Spark 1.3.1 预构建

1. Spark 1.3.1 prebuild for Hadoop 2.3 setup on EC2-cluster

git clone https://github.com/apache/incubator-zeppelin.git(日期:25.07.2015)

git clone https://github.com/apache/incubator-zeppelin.git (date: 25.07.2015)

通过以下命令安装了zeppelin(属于https://github.com/上的说明)apache/incubator-zeppelin):

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

通过conf/zeppelin-site.xml"将端口更改为 8082(Spark 使用端口 8080)

Port change via "conf/zeppelin-site.xml" to 8082 (Spark uses Port 8080)

在此安装步骤之后，我的笔记本使用了 S3 文件:

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

我认为在 Zeppelin 0.5.0 版本中没有完全解决 S3 问题，所以克隆实际的 git-repo 为我做了.

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.

重要信息:这项工作仅适用于使用 zeppelin spark-interpreter 设置 ma​​ster=local[*](而不是使用 spark://master:7777)

Important Information: The job only worked for me with zeppelin spark-interpreter setting master=local[*] (instead of using spark://master:7777)

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