Unable to install HDP 2.0.6 using Ambari

to create new topics or reply. | New User Registration

This topic contains 1 reply, has 2 voices, and was last updated by  Jeff Sposetti 1 year, 3 months ago.

  • Creator
    Topic
  • #51245

    Vikash Kumar
    Participant

    After setting up initial requirements, when i run the Ambari installation wizard, the final step where it installs and starts the services, things dont go well.
    it fails with following error
    There is no repo path for os: in hdp::params at /var/lib/ambari-agent/puppet/modules/hdp-repos/manifests/process_repo.pp:34

    in my /etc/yum.repos.d/ i have both ambari.repo and HDP repo
    output of yum repolist is as follows.

    # yum repolist
    Repository HDP-UTILS-1.1.0.16 is listed more than once in the configuration
    repo id repo name status
    HDP-2.0.6.0-101 Hortonworks Data Platform HDP-2.0.6.0-101 131+25
    HDP-2.0.6.0-76 Hortonworks Data Platform HDP-2.0.6.0-76 131+25
    HDP-2.x Hortonworks Data Platform Version – HDP-2.x 51+13
    HDP-UTILS-1.1.0.16 Hortonworks Data Platform Utils Version – HDP-UTILS-1.1.0.16 61
    Updates-ambari-1.4.4.23 ambari-1.4.4.23 – Updates 5
    ambari-1.x Ambari 1.x 5
    epel Extra Packages for Enterprise Linux 6 – x86_64 10,663
    public_ol6_UEKR3_latest Unbreakable Enterprise Kernel Release 3 for Oracle Linux 6Server (x86_64) 89+33
    public_ol6_latest Oracle Linux 6Server Latest (x86_64) 19,995+5,083
    repolist: 31,131

    Please suggest what can be wrong.

Viewing 1 replies (of 1 total)

You must be to reply to this topic. | Create Account

Viewing 1 replies (of 1 total)
Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Get started with Sandbox
Hortonworks Sandbox is a self-contained virtual machine with Apache Hadoop pre-configured alongside a set of hands-on, step-by-step Hadoop tutorials.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.