Have you seen this thread ? http://search-hadoop.com/m/q3RTthWU8o1MbFC2&subj=Re+Forbidded+Error+Code+403
On Sun, May 29, 2016 at 2:55 PM, Mayuresh Kunjir <mayur...@cs.duke.edu> wrote: > I'm running into permission issues while accessing data in S3 bucket > stored using s3a file system from a local Spark cluster. Has anyone found > success with this? > > My setup is: > - Spark 1.6.1 compiled against Hadoop 2.7.2 > - aws-java-sdk-1.7.4.jar and hadoop-aws-2.7.2.jar in the classpath > - Spark's Hadoop configuration is as follows: > > > sc.hadoopConfiguration.set("fs.s3a.impl","org.apache.hadoop.fs.s3a.S3AFileSystem") > > sc.hadoopConfiguration.set("fs.s3a.access.key", <access>) > > sc.hadoopConfiguration.set("fs.s3a.secret.key", <secret>) > > (The secret key does not have any '/' characters which is reported to > cause some issue by others) > > > I have configured my S3 bucket to grant the necessary permissions. ( > https://sparkour.urizone.net/recipes/configuring-s3/) > > > What works: Listing, reading from, and writing to s3a using hadoop > command. e.g. hadoop dfs -ls s3a://<bucket name>/<file path> > > > What doesn't work: Reading from s3a using Spark's textFile API. Each task > throws an exception which says *Forbidden Access(403)*. > > > Some online documents suggest to use IAM roles to grant permissions for an > AWS cluster. But I would like a solution for my local standalone cluster. > > > Any help would be appreciated. > > > Regards, > > ~Mayuresh >