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Marc Millstone commented on SPARK-4414: --------------------------------------- Is there any update to this ticket? We are experiencing the same issue. Thanks! > SparkContext.wholeTextFiles Doesn't work with S3 Buckets > -------------------------------------------------------- > > Key: SPARK-4414 > URL: https://issues.apache.org/jira/browse/SPARK-4414 > Project: Spark > Issue Type: Bug > Components: Spark Core > Affects Versions: 1.1.0, 1.2.0 > Reporter: Pedro Rodriguez > > SparkContext.wholeTextFiles does not read files which SparkContext.textFile > can read. Below are general steps to reproduce, my specific case is following > that on a git repo. > Steps to reproduce. > 1. Create Amazon S3 bucket, make public with multiple files > 2. Attempt to read bucket with > sc.wholeTextFiles("s3n://mybucket/myfile.txt") > 3. Spark returns the following error, even if the file exists. > Exception in thread "main" java.io.FileNotFoundException: File does not > exist: /myfile.txt > at > org.apache.hadoop.hdfs.DistributedFileSystem.getFileStatus(DistributedFileSystem.java:517) > at > org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat$OneFileInfo.<init>(CombineFileInputFormat.java:489) > 4. Change the call to > sc.textFile("s3n://mybucket/myfile.txt") > and there is no error message, the application should run fine. > There is a question on StackOverflow as well on this: > http://stackoverflow.com/questions/26258458/sparkcontext-wholetextfiles-java-io-filenotfoundexception-file-does-not-exist > This is link to repo/lines of code. The uncommented call doesn't work, the > commented call works as expected: > https://github.com/EntilZha/nips-lda-spark/blob/45f5ad1e2646609ef9d295a0954fbefe84111d8a/src/main/scala/NipsLda.scala#L13-L19 > It would be easy to use textFile with a multifile argument, but this should > work correctly for s3 bucket files as well. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org