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

MapReduce Forum

MapReduce Problems with Snappy on HDP 2.06 Update to 2.2

  • #45667

    I installed HDP with Update to Hadoop 2.2 with snappy (from hdp-utils on SUSE Linux Enterprise Server – Service Pack 3 according to instruction on HDP-Documentation “Installing HDP Manually” 10/22/2013
    During the execution of a MapReduce-Job, which takes up an snappy-compressed file, the following error occured:

    Error: org.apache.hadoop.util.NativeCodeLoader.buildSupportsSnappy()Z

    I’ve tried the HDP-Sandbox (CentOS 6.4 based) for VirtualBox too, but there isn’t snappy installed or configured.
    What’s going wrong?
    I’ve also had run the MR-Job with DEBUG option, but only the Error-Message above was displayed.
    Next try was installation of Hadoop tar-ball (HDFS/MR) from Apache and there the MR-Job is working well.

The forum ‘MapReduce’ 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.