which s3 endpoint?
On 29 May 2016, at 22:55, Mayuresh Kunjir <mayur...@cs.duke.edu<mailto: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
