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

HDFS Forum

Secondary Namenode Issue

  • #34198
    Swapnil Patil

    I have set up secondary namenode on different physical machine.. I have added property in hdfs-site.xml of secondary namenode. But its not writing anything in that directory ,instead its writing it in
    which is the default directory on namenode..
    I have changed the permissions to 755..
    What could be the issue??
    Thanks inadvance..

  • Author
  • #34234
    Ravi Kiran

    Hi Swapnil,

    The default checkpoint directory where secondary name node store checkpoints is ${hadoop.tmp.dir}/dfs/namesecondary . Have a look at the property fs.checkpoint.dir in hdfs-site.xml.

    Ravi Magham

    Robert Molina

    Hi Swapnil,
    What version are you using? Is it the Alpha/Beta 2.0 version? If so, I believe there was an issue for that. Please use the latest GA’d release.


The forum ‘HDFS’ 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.