As Sungwook said, the classpath pointing to the mapr jar is the key for that error.
MapR has a Spark install that hopefully makes it easier. I don't have the instructions handy but you can asking their support about it. -Suren On Wed, Oct 1, 2014 at 7:18 PM, Matei Zaharia <matei.zaha...@gmail.com> wrote: > It should just work in PySpark, the same way it does in Java / Scala apps. > > Matei > > On Oct 1, 2014, at 4:12 PM, Sungwook Yoon <sy...@maprtech.com> wrote: > > > Yes.. you should use maprfs:// > > I personally haven't used pyspark, I just used scala shell or standalone > with MapR. > > I think you need to set classpath right, adding jar like > /opt/mapr/hadoop/hadoop-0.20.2/lib/hadoop-0.20.2-dev-core.jar to the > classpath > in the classpath. > > Sungwook > > On Wed, Oct 1, 2014 at 4:09 PM, Addanki, Santosh Kumar < > santosh.kumar.adda...@sap.com> wrote: > >> Hi >> >> >> >> We would like to do this in PySpark Environment >> >> >> >> i.e something like >> >> >> >> test = sc.textFile("maprfs:///user/root/test") or >> >> test = sc.textFile("hdfs:///user/root/test") or >> >> >> >> >> >> Currently when we try >> >> test = sc.textFile("maprfs:///user/root/test") >> >> >> >> It throws the error >> >> No File-System for scheme: maprfs >> >> >> >> >> >> Best Regards >> >> Santosh >> >> >> >> >> >> >> >> *From:* Vladimir Rodionov [mailto:vrodio...@splicemachine.com] >> *Sent:* Wednesday, October 01, 2014 3:59 PM >> *To:* Addanki, Santosh Kumar >> *Cc:* user@spark.apache.org >> *Subject:* Re: Spark And Mapr >> >> >> >> There is doc on MapR: >> >> >> >> http://doc.mapr.com/display/MapR/Accessing+MapR-FS+in+Java+Applications >> >> >> >> -Vladimir Rodionov >> >> >> >> On Wed, Oct 1, 2014 at 3:00 PM, Addanki, Santosh Kumar < >> santosh.kumar.adda...@sap.com> wrote: >> >> Hi >> >> >> >> We were using Horton 2.4.1 as our Hadoop distribution and now switched to >> MapR >> >> >> >> Previously to read a text file we would use : >> >> >> >> test = sc.textFile(\"hdfs://10.48.101.111:8020/user/hdfs/test\ >> <http://10.48.101.111:8020/user/hdfs/test%5C>")" >> >> >> >> >> >> What would be the equivalent of the same for Mapr. >> >> >> >> Best Regards >> >> Santosh >> >> >> > > > -- SUREN HIRAMAN, VP TECHNOLOGY Velos Accelerating Machine Learning 440 NINTH AVENUE, 11TH FLOOR NEW YORK, NY 10001 O: (917) 525-2466 ext. 105 F: 646.349.4063 E: suren.hiraman@v <suren.hira...@sociocast.com>elos.io W: www.velos.io