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

configure offline mirror option

  • #49948
    Rick Lopez


    I’m trying to configure an offline mirror per section 4.3.1 of the Hortonworks Data Platform reference manual and have the following questions. I extracted the main HDP- tarball to the /var/www/htm/hdp directory as instructed but when I look at modifying the hdp.repo file it indicates the baseurl path should point to a /GA directory and I do not see any GA directory anywhere? Is this correct? Also, should the Ambari and HDP-utils tar file be extracted to a different place? In looking at the hdp.repo file it would seem to indicate that but I don’t see any references to extracting those files? Thanks.

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.