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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/08/25 08:59:20 UTC

[jira] [Resolved] (SPARK-15965) No FileSystem for scheme: s3n or s3a spark-2.0.0 and spark-1.6.1

     [ https://issues.apache.org/jira/browse/SPARK-15965?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-15965.
-------------------------------
    Resolution: Duplicate

> No FileSystem for scheme: s3n or s3a  spark-2.0.0 and spark-1.6.1
> -----------------------------------------------------------------
>
>                 Key: SPARK-15965
>                 URL: https://issues.apache.org/jira/browse/SPARK-15965
>             Project: Spark
>          Issue Type: Bug
>          Components: Build
>    Affects Versions: 1.6.1
>         Environment: Debian GNU/Linux 8
> java version "1.7.0_79"
>            Reporter: thauvin damien
>   Original Estimate: 8h
>  Remaining Estimate: 8h
>
> The spark programming-guide explain that Spark can create distributed datasets on Amazon S3 . 
> But since the pre-buid "Hadoop 2.6" the S3 access doesn't work with s3n or s3a. 
> sc.hadoopConfiguration.set("fs.s3a.awsAccessKeyId", "XXXZZZHHH")
> sc.hadoopConfiguration.set("fs.s3a.awsSecretAccessKey", "xxxxxxxxxxxxxxxxxxxxxxxxxxx")
> val lines=sc.textFile("s3a://poc-XXX/access/2016/02/20160201202001_xxx.log.gz")
> java.lang.RuntimeException: java.lang.ClassNotFoundException: Class org.apache.hadoop.fs.s3a.S3AFileSystem not found
> Any version of spark : spark-1.3.1 ; spark-1.6.1 even spark-2.0.0 with hadoop.7.2 .
> I understand this is an Hadoop Issue (SPARK-7442)  but can you make some documentation to explain what jar we need to add and where ? ( for standalone installation) .
> "hadoop-aws-x.x.x.jar and aws-java-sdk-x.x.x.jar is enough ? 
> What env variable we need to set and what file we need to modifiy .
> Is it "$CLASSPATH "or a variable in "spark-defaults.conf" with variable "spark.driver.extraClassPath" and "spark.executor.extraClassPath"
> But Still Works with spark-1.6.1 pre build with hadoop2.4 
> Thanks 



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