The Hortonworks Community Connection is now live. A completely rebuilt Q&A forum, Knowledge Base, Code Hub and more, backed by the experts in the industry.

You will be redirected here in 10 seconds. If your are not redirected, click here to visit the new site.

The legacy Hortonworks Forum is now closed. You can view a read-only version of the former site by clicking here. The site will be taken offline on January 31,2016

HDP on Linux – Installation Forum

Installing HDP 2.0 on Linux RHEL5.8

  • #42661

    I am installing 2.0 thru ambari, on 2 nodes,we are not allowed to use the ssh private key.
    So I am manually installing the ambari agent on both the hosts.
    Ambari server is on server2, so pointed the ambari agent on server1 to point to server 2.

    Now the question is , I did NOT have any jdk pre installed, the ambari server setup installed the jdk for me on server2,
    Do I need to manually install jdk 1.6. update 31 on server 1 too where the agent is ?
    If so can it be done after the agent install ? Or will the Ambari install wizard will do it during cluster deploy ?

    I dont see any documentation on whether or not this is needed.
    Please advice

  • Author
  • #42883


    You can let ambari install the JDK for you,



The forum ‘HDP on Linux – Installation’ is closed to new topics and replies.

Support from the Experts

A HDP Support Subscription connects you experts with deep experience running Apache Hadoop in production, at-scale on the most demanding workloads.

Enterprise Support »

Become HDP Certified

Real world training designed by the core architects of Hadoop. Scenario-based training courses are available in-classroom or online from anywhere in the world

Training »

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.