Thanks everyone, One reason to use "s3a//" is because I use "s3a//" in my development env (Eclipse) on a desktop. I will debug and test on my desktop then put jar file on EMR Cluster. I do not think "s3//" will works on a desktop.
With helping from AWS suport, this bug is cause by the version of Joda-Time in my pom file is not match with aws-SDK.jar because AWS authentication requires a valid Date or x-amz-date header. It will work after update to joda-time 2.8.1, aws SDK 1.10.x and amazon-hadoop 2.6.1. But, it will shown exception on amazon-hadoop 2.7.2. The reason for using amazon-hadoop 2.7.2 is because in EMR 4.6.0 the supported version are Hadoop 2.7.2, Spark 1.6.1. Please let me know if you have a better idea to set up the development environment for debug and test. Regards, Jingyu On 4 May 2016 at 20:32, James Hammerton <ja...@gluru.co> wrote: > > > On 3 May 2016 at 17:22, Gourav Sengupta <gourav.sengu...@gmail.com> wrote: > >> Hi, >> >> The best thing to do is start the EMR clusters with proper permissions in >> the roles that way you do not need to worry about the keys at all. >> >> Another thing, why are we using s3a// instead of s3:// ? >> > > Probably because of what's said about s3:// and s3n:// here (which is why > I use s3a://): > > https://wiki.apache.org/hadoop/AmazonS3 > > Regards, > > James > > >> Besides that you can increase s3 speeds using the instructions mentioned >> here: >> https://aws.amazon.com/blogs/aws/aws-storage-update-amazon-s3-transfer-acceleration-larger-snowballs-in-more-regions/ >> >> >> Regards, >> Gourav >> >> On Tue, May 3, 2016 at 12:04 PM, Steve Loughran <ste...@hortonworks.com> >> wrote: >> >>> don't put your secret in the URI, it'll only creep out in the logs. >>> >>> Use the specific properties coverd in >>> http://hadoop.apache.org/docs/current/hadoop-aws/tools/hadoop-aws/index.html, >>> which you can set in your spark context by prefixing them with spark.hadoop. >>> >>> you can also set the env vars, AWS_ACCESS_KEY_ID and >>> AWS_SECRET_ACCESS_KEY; SparkEnv will pick these up and set the relevant >>> spark context keys for you >>> >>> >>> On 3 May 2016, at 01:53, Zhang, Jingyu <jingyu.zh...@news.com.au> wrote: >>> >>> Hi All, >>> >>> I am using Eclipse with Maven for developing Spark applications. I got a >>> error for Reading from S3 in Scala but it works fine in Java when I run >>> them in the same project in Eclipse. The Scala/Java code and the error in >>> following >>> >>> >>> Scala >>> >>> val uri = URI.create("s3a://" + key + ":" + seckey + "@" + >>> "graphclustering/config.properties"); >>> val pt = new Path("s3a://" + key + ":" + seckey + "@" + >>> "graphclustering/config.properties"); >>> val fs = FileSystem.get(uri,ctx.hadoopConfiguration); >>> val inputStream:InputStream = fs.open(pt); >>> >>> ----Exception: on aws-java-1.7.4 and hadoop-aws-2.6.1---- >>> >>> Exception in thread "main" >>> com.amazonaws.services.s3.model.AmazonS3Exception: Forbidden (Service: >>> Amazon S3; Status Code: 403; Error Code: 403 Forbidden; Request ID: >>> 8A56DC7BF0BFF09A), S3 Extended Request ID >>> >>> at com.amazonaws.http.AmazonHttpClient.handleErrorResponse( >>> AmazonHttpClient.java:1160) >>> >>> at com.amazonaws.http.AmazonHttpClient.executeOneRequest( >>> AmazonHttpClient.java:748) >>> >>> at com.amazonaws.http.AmazonHttpClient.executeHelper( >>> AmazonHttpClient.java:467) >>> >>> at com.amazonaws.http.AmazonHttpClient.execute(AmazonHttpClient.java:302 >>> ) >>> >>> at com.amazonaws.services.s3.AmazonS3Client.invoke( >>> AmazonS3Client.java:3785) >>> >>> at com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata( >>> AmazonS3Client.java:1050) >>> >>> at com.amazonaws.services.s3.AmazonS3Client.getObjectMetadata( >>> AmazonS3Client.java:1027) >>> >>> at org.apache.hadoop.fs.s3a.S3AFileSystem.getFileStatus( >>> S3AFileSystem.java:688) >>> >>> at org.apache.hadoop.fs.s3a.S3AFileSystem.open(S3AFileSystem.java:222) >>> >>> at org.apache.hadoop.fs.FileSystem.open(FileSystem.java:766) >>> >>> at com.news.report.graph.GraphCluster$.main(GraphCluster.scala:53) >>> >>> at com.news.report.graph.GraphCluster.main(GraphCluster.scala) >>> >>> 16/05/03 10:49:17 INFO SparkContext: Invoking stop() from shutdown hook >>> >>> 16/05/03 10:49:17 INFO SparkUI: Stopped Spark web UI at >>> http://10.65.80.125:4040 >>> >>> 16/05/03 10:49:17 INFO MapOutputTrackerMasterEndpoint: >>> MapOutputTrackerMasterEndpoint stopped! >>> >>> 16/05/03 10:49:17 INFO MemoryStore: MemoryStore cleared >>> >>> 16/05/03 10:49:17 INFO BlockManager: BlockManager stopped >>> >>> ----Exception: on aws-java-1.7.4 and hadoop-aws-2.7.2---- >>> >>> 16/05/03 10:23:40 INFO Slf4jLogger: Slf4jLogger started >>> >>> 16/05/03 10:23:40 INFO Remoting: Starting remoting >>> >>> 16/05/03 10:23:40 INFO Remoting: Remoting started; listening on >>> addresses :[akka.tcp://sparkDriverActorSystem@10.65.80.125:61860] >>> >>> 16/05/03 10:23:40 INFO Utils: Successfully started service >>> 'sparkDriverActorSystem' on port 61860. >>> >>> 16/05/03 10:23:40 INFO SparkEnv: Registering MapOutputTracker >>> >>> 16/05/03 10:23:40 INFO SparkEnv: Registering BlockManagerMaster >>> >>> 16/05/03 10:23:40 INFO DiskBlockManager: Created local directory at >>> /private/var/folders/sc/tdmkbvr1705b8p70xqj1kqks5l9p >>> >>> 16/05/03 10:23:40 INFO MemoryStore: MemoryStore started with capacity >>> 1140.4 MB >>> >>> 16/05/03 10:23:40 INFO SparkEnv: Registering OutputCommitCoordinator >>> >>> 16/05/03 10:23:40 INFO Utils: Successfully started service 'SparkUI' on >>> port 4040. >>> >>> 16/05/03 10:23:40 INFO SparkUI: Started SparkUI at >>> http://10.65.80.125:4040 >>> >>> 16/05/03 10:23:40 INFO Executor: Starting executor ID driver on host >>> localhost >>> >>> 16/05/03 10:23:40 INFO Utils: Successfully started service >>> 'org.apache.spark.network.netty.NettyBlockTransferService' on port 61861. >>> >>> 16/05/03 10:23:40 INFO NettyBlockTransferService: Server created on 61861 >>> >>> 16/05/03 10:23:40 INFO BlockManagerMaster: Trying to register >>> BlockManager >>> >>> 16/05/03 10:23:40 INFO BlockManagerMasterEndpoint: Registering block >>> manager localhost:61861 with 1140.4 MB RAM, BlockManagerId(driver, >>> localhost, 61861) >>> >>> 16/05/03 10:23:40 INFO BlockManagerMaster: Registered BlockManager >>> >>> Exception in thread "main" java.lang.NoSuchMethodError: >>> com.amazonaws.services.s3.transfer.TransferManagerConfiguration.setMultipartUploadThreshold(I)V >>> >>> at org.apache.hadoop.fs.s3a.S3AFileSystem.initialize( >>> S3AFileSystem.java:285) >>> >>> at org.apache.hadoop.fs.FileSystem.createFileSystem(FileSystem.java:2596 >>> ) >>> >>> at org.apache.hadoop.fs.FileSystem.access$200(FileSystem.java:91) >>> >>> at org.apache.hadoop.fs.FileSystem$Cache.getInternal( >>> FileSystem.java:2630) >>> >>> at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2612) >>> >>> at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370) >>> >>> at com.news.report.graph.GraphCluster$.main(GraphCluster.scala:52) >>> >>> at com.news.report.graph.GraphCluster.main(GraphCluster.scala) >>> >>> 16/05/03 10:23:51 INFO SparkContext: Invoking stop() from shutdown hook >>> >>> 16/05/03 10:23:51 INFO SparkUI: Stopped Spark web UI at >>> http://10.65.80.125:4040 >>> >>> 16/05/03 10:23:51 INFO MapOutputTrackerMasterEndpoint: >>> MapOutputTrackerMasterEndpoint stopped! >>> >>> 16/05/03 10:23:51 INFO MemoryStore: MemoryStore cleared >>> >>> 16/05/03 10:23:51 INFO BlockManager: BlockManager stopped >>> >>> 16/05/03 10:23:51 INFO BlockManagerMaster: BlockManagerMaster stopped >>> >>> 16/05/03 10:23:51 INFO >>> OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: >>> OutputCommitCoordinator stopped! >>> >>> 16/05/03 10:23:51 INFO SparkContext: Successfully stopped SparkContext >>> >>> 16/05/03 10:23:51 INFO ShutdownHookManager: Shutdown hook called >>> >>> 16/05/03 10:23:51 INFO ShutdownHookManager: Deleting directory >>> /private/var/folders/sc/tdmkbvr1705b8p70xqj1kqks5l9pk9/T/spark-53cf244a-2947-48c9-ba97-7302c9985f35 >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: Caught an AmazonServiceException, >>> which means your request made it to Amazon S3, but was rejected with an >>> error response for some reason. >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: Error Message: Forbidden (Service: >>> Amazon S3; Status Code: 403; Error Code: 403 Forbidden; Request ID: >>> 8A56DC7BF0BFF09A) >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: HTTP Status Code: 403 >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: AWS Error Code: 403 Forbidden >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: Error Type: Client >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: Request ID: 8A56DC7BF0BFF09A >>> >>> 16/05/03 10:49:17 INFO S3AFileSystem: Class Name: >>> com.amazonaws.services.s3.model.AmazonS3Exception >>> >>> >>> But, Java code works without error >>> >>> URI uri = URI.create("s3a://" + key + ":" + seckey + "@" + >>> "graphclustering/config.properties"); >>> Path pt = new Path("s3a://" + key + ":" + seckey + "@" + >>> "graphclustering/config.properties"); >>> FileSystem fs = FileSystem.get(uri,ctx.hadoopConfiguration()); >>> inputStream = fs.open(pt); >>> >>> Thanks, >>> >>> Jingyu >>> >>> This message and its attachments may contain legally privileged or >>> confidential information. It is intended solely for the named addressee. If >>> you are not the addressee indicated in this message or responsible for >>> delivery of the message to the addressee, you may not copy or deliver this >>> message or its attachments to anyone. Rather, you should permanently delete >>> this message and its attachments and kindly notify the sender by reply >>> e-mail. Any content of this message and its attachments which does not >>> relate to the official business of the sending company must be taken not to >>> have been sent or endorsed by that company or any of its related entities. >>> No warranty is made that the e-mail or attachments are free from computer >>> virus or other defect. >>> >>> >>> >> > -- This message and its attachments may contain legally privileged or confidential information. It is intended solely for the named addressee. 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