I'm not super familiar w/ S3, but I think the issue is that you want to use a different output committers with "object" stores, that don't have a simple move operation. There have been a few other threads on S3 & outputcommitters. I think the most relevant for you is most probably this open JIRA:
https://issues.apache.org/jira/browse/SPARK-6352 On Fri, Mar 13, 2015 at 5:51 PM, Shuai Zheng <szheng.c...@gmail.com> wrote: > Hi All, > > > > I try to run a sorting on a r3.2xlarge instance on AWS. I just try to run > it as a single node cluster for test. The data I use to sort is around 4GB > and sit on S3, output will also on S3. > > > > I just connect spark-shell to the local cluster and run the code in the > script (because I just want a benchmark now). > > > > My job is as simple as: > > val parquetFile = > sqlContext.parquetFile("s3n://...,s3n://...,s3n://...,s3n://...,s3n://...,s3n://...,s3n://...,") > > parquetFile.registerTempTable("Test") > > val sortedResult = sqlContext.sql("SELECT * FROM Test order by time").map > { row => { row.mkString("\t") } } > > sortedResult.saveAsTextFile("s3n://myplace,"); > > > > The job takes around 6 mins to finish the sort when I am monitoring the > process. After I notice the process stop at: > > > > 15/03/13 22:38:27 INFO DAGScheduler: Job 2 finished: saveAsTextFile at > <console>:31, took 581.304992 s > > > > At that time, the spark actually just write all the data to the _temporary > folder first, after all sub-tasks finished, it will try to move all the > ready result from _temporary folder to the final location. This process > might be quick locally (because it will just be a cut/paste), but it looks > like very slow on my S3, it takes a few second to move one file (usually > there will be 200 partitions). And then it raise exceptions after it move > might be 40-50 files. > > > > org.apache.http.NoHttpResponseException: The target server failed to > respond > > at > org.apache.http.impl.conn.DefaultResponseParser.parseHead(DefaultResponseParser.java:101) > > at > org.apache.http.impl.io.AbstractMessageParser.parse(AbstractMessageParser.java:252) > > at > org.apache.http.impl.AbstractHttpClientConnection.receiveResponseHeader(AbstractHttpClientConnection.java:281) > > at > org.apache.http.impl.conn.DefaultClientConnection.receiveResponseHeader(DefaultClientConnection.java:247) > > at > org.apache.http.impl.conn.AbstractClientConnAdapter.receiveResponseHeader(AbstractClientConnAdapter.java:219) > > > > > > I try several times, but never get the full job finished. I am not sure > anything wrong here, but I use something very basic and I can see the job > has finished and all result on the S3 under temporary folder, but then it > raise the exception and fail. > > > > Any special setting I should do here when deal with S3? > > > > I don’t know what is the issue here, I never see MapReduce has similar > issue. So it could not be S3’s problem. > > > > Regards, > > > > Shuai >
