Running external NameNode

to create new topics or reply. | New User Registration

This topic contains 1 reply, has 2 voices, and was last updated by  Robert Molina 1 year, 1 month ago.

  • Creator
    Topic
  • #50616

    Lars
    Participant

    Hi,

    I installed HDP 2 with ambari, now I have got a problem with the NameNode.

    I already had a self set up hadoop v1 cluster (not HDP) where I used an external NameNode.
    I used the parameter “fs.default.name” and added the hdfs:// address., and it worked.

    Now I tried the same thing with ambari and HDP 2, but I did not find a way, to avoid setting up a NameNode, so that I can use my external NN.
    I tried adding the NN address at “fs.defaultFS”, but it does not work.
    The internal NameNode is still started (and fails starting).

    Is there a way to avoid setting up a Namenode for HDP, and include my external one?
    Or what is the normal way to attach external storage, located at a fileserver, to the Namenode with HDP?

    Regards

Viewing 1 replies (of 1 total)

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

  • Author
    Replies
  • #50639

    Robert Molina
    Moderator

    Hi Lars,
    For your namenode, you can have multiple mounts so you can have redundancy with the namenode data just in case one fails. You can use an nfs mount on your node where namenode runs hence it can be written to storage outside of the local machine. Ideally, you should also have a local mount to write the fsimage and edits files of the namenode. Also, use soft mount vs. hard mount when doing an nfs mount.

    Regards,
    Robert

    Collapse
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.