It works well with all flavors of Linux. It all depends on your ex with these flavors.
Thanks Deepak On Mon, Apr 18, 2016 at 5:51 PM, My List <mylistt...@gmail.com> wrote: > Deepak, > > Would you advice that I use Ubuntu? or Redhat. Cause Windows support etc > and issues are Galore on Spark. > Since I am starting afresh, what would you advice? > > On Mon, Apr 18, 2016 at 5:45 PM, Deepak Sharma <deepakmc...@gmail.com> > wrote: > >> Binary for Spark means ts spark built against hadoop 2.6 >> It will not have any hadoop executables. >> You'll have to setup hadoop separately. >> I have not used windows version yet but there are some. >> >> Thanks >> Deepak >> >> On Mon, Apr 18, 2016 at 5:43 PM, My List <mylistt...@gmail.com> wrote: >> >>> Deepak, >>> >>> The following could be a very dumb questions so pardon me for the same. >>> 1) When I download the binary for Spark with a version of Hadoop(Hadoop >>> 2.6) does it not come in the zip or tar file? >>> 2) If it does not come along,Is there a Apache Hadoop for windows, is it >>> in binary format or will have to build it? >>> 3) Is there a basic tutorial for Hadoop on windows for the basic needs >>> of Spark. >>> >>> Thanks in Advance ! >>> >>> On Mon, Apr 18, 2016 at 5:35 PM, Deepak Sharma <deepakmc...@gmail.com> >>> wrote: >>> >>>> Once you download hadoop and format the namenode , you can use >>>> start-dfs.sh to start hdfs. >>>> Then use 'jps' to sss if datanode/namenode services are up and running. >>>> >>>> Thanks >>>> Deepak >>>> >>>> On Mon, Apr 18, 2016 at 5:18 PM, My List <mylistt...@gmail.com> wrote: >>>> >>>>> Hi , >>>>> >>>>> I am a newbie on Spark.I wanted to know how to start and verify if >>>>> HDFS has started on Spark stand alone. >>>>> >>>>> Env - >>>>> Windows 7 - 64 bit >>>>> Spark 1.4.1 With Hadoop 2.6 >>>>> >>>>> Using Scala Shell - spark-shell >>>>> >>>>> >>>>> -- >>>>> Thanks, >>>>> Harry >>>>> >>>> >>>> >>>> >>>> -- >>>> Thanks >>>> Deepak >>>> www.bigdatabig.com >>>> www.keosha.net >>>> >>> >>> >>> >>> -- >>> Thanks, >>> Harmeet >>> >> >> >> >> -- >> Thanks >> Deepak >> www.bigdatabig.com >> www.keosha.net >> > > > > -- > Thanks, > Harmeet > -- Thanks Deepak www.bigdatabig.com www.keosha.net
